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Publications

Chapters

Ahamed, S, Madan, P & Singh, AK 2019, 'Transhumanism in India: Past, Present and the Future' in Lee, N (ed), The Transhumanism Handbook, Springer, Switzerland, pp. 701-714.
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Alshehri, M, Hussain, F, Elkhodr, M & Alsinglawi, B 2019, 'A Distributed Trust Management Model for the Internet of Things (DTM-IoT)' in Recent Trends and Advances in Wireless and IoT-enabled Networks, Springer, Switzerland, pp. 1-10.
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Anaissi, A & Goyal, M 2019, 'Blending Association Rules for Knowledge Discovery in Big Data' in Enabling Technologies and Architectures for Next-Generation Networking Capabilities, IGI Global, USA, pp. 254-271.
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Chalup, S, Suthakorn, J, Niemueller, T & Williams, MA 2019, 'Preface', pp. v-vi.

Dasgupta, A, Gill, A & Hussain, F 2019, 'Privacy of IoT-Enabled Smart Home Systems' in IoT and Smart Home Automation, IntechOpen, USA.
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Goyal, M 2019, 'Genome Databases and Browsers for Cancer' in Reference Module in Life SciencesEncyclopedia of Bioinformatics and Computational Biology, pp. 1077-1082.
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Zuo, H, Zhang, G & Lu, J 2019, 'Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models' in Fuzzy Techniques: Theory and Applications, Springer, Switzerland, pp. 752-763.
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Journal articles

Abidi, S, Piccardi, M, Tsang, WH & Williams, M-A 2019, 'Well-M³N: A Maximum-Margin Approach to Unsupervised Structured Prediction', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 6, pp. 427-439.
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Adak, C, Chaudhuri, BB & Blumenstein, M 2019, 'An Empirical Study on Writer Identification and Verification From Intra-Variable Individual Handwriting', IEEE ACCESS, vol. 7, pp. 24738-24758.
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Agarwal, A, Dowsley, R, McKinney, ND, Wu, D, Lin, C-T, De Cock, M & Nascimento, ACA 2019, 'Protecting Privacy of Users in Brain-Computer Interface Applications.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 27, no. 8, pp. 1546-1555.
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Alaei, F, Alaei, A, Pal, U & Blumenstein, M 2019, 'A comparative study of different texture features for document image retrieval', Expert Systems with Applications, vol. 121, pp. 97-114.
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Aliyu, A, El-Sayed, H, Abdullah, AH, Alam, I, Li, J & Prasad, M 2019, 'Video streaming in urban vehicular environments: Junction-aware multipath approach', Electronics (Switzerland), vol. 8, no. 11.
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Alshehri, MD & Hussain, FK 2019, 'A fuzzy security protocol for trust management in the internet of things (Fuzzy-IoT)', Computing, vol. 101, pp. 791-818.
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Aravanis, T, Peppas, P & Williams, MA 2019, 'An investigation of parametrized difference revision operators', Annals of Mathematics and Artificial Intelligence.
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Aravanis, TI, Peppas, P & Williams, MA 2019, 'Full characterization of Parikh's Relevance-Sensitive Axiom for Belief Revision', Journal of Artificial Intelligence Research, vol. 66, pp. 765-792.
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Bharill, N, Patel, OP, Tiwari, A, Mu, L, Li, D-L, Mohanty, M, Kaiwartya, O & Prasad, M 2019, 'A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering', IEEE ACCESS, vol. 7, pp. 50347-50361.
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Boutros, R, Catchpoole, D, Collins, K, Cross, S, Downie, P, Drinkwater, C, Fletcher, J, Gottardo, N, Hunter, S, Kirby, M, Ludlow, L, MacNish, M, Maybury, M, Moore, A, Morrin, H, Purdy, S, Revesz, T, Saffery, R, Strong, R, Trahair, T, Wood, A & Byrne, J 2019, 'The Australian and New Zealand Children's Haematology/Oncology Group Biobanking Network', Biopreservation and Biobanking, vol. 17, no. 2, pp. 95-97.
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Braytee, A, Liu, W, Anaissi, A & Kennedy, PJ 2019, 'Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance', ACM Transactions on Intelligent Systems and Technology (TIST), vol. 10, no. 5.

Cao, Y, Cao, Y, Wen, S, Huang, T & Zeng, Z 2019, 'Passivity analysis of delayed reaction–diffusion memristor-based neural networks', Neural Networks, vol. 109, pp. 159-167.
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Cao, Z, Chuang, C-H, King, J-K & Lin, C-T 2019, 'Multi-channel EEG recordings during a sustained-attention driving task.', Scientific data, vol. 6, no. 1.
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Cao, Z, Lin, CT, Ding, W, Chen, MH, Li, CT & Su, TP 2019, 'Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG', IEEE Transactions on Biomedical Engineering, vol. 66, no. 6, pp. 1668-1679.
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Catchpoole, DR, Parry-Jones, A & Kozlakidis, Z 2019, 'ISBER's Global Outlook: A Summary of Recent International Activities.', Biopreservation and biobanking, vol. 17, no. 1, pp. 91-92.
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Chen, H, Wang, X, Pan, S & Xiong, F 2019, 'Identify Topic Relations in Scientific Literature Using Topic Modeling', IEEE Transactions on Engineering Management.
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Chen, S, Wang, Y, Lin, CT, Ding, W & Cao, Z 2019, 'Semi-supervised feature learning for improving writer identification', Information Sciences, vol. 482, pp. 156-170.
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Chen, Z, Li, J & You, X 2019, 'Learn to focus on objects for visual detection', Neurocomputing, vol. 348, pp. 27-39.
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Cheng, EJ, Chou, KP, Rajora, S, Jin, BH, Tanveer, M, Lin, CT, Young, KY, Lin, WC & Prasad, M 2019, 'Deep Sparse Representation Classifier for facial recognition and detection system', Pattern Recognition Letters, vol. 125, pp. 71-77.
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Cheng, EJ, Young, KY & Lin, CT 2019, 'Temporal EEG imaging for drowsy driving prediction', Applied Sciences (Switzerland), vol. 9, no. 23.
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Daniel, J, Naderpour, M & Lin, CT 2019, 'A Fuzzy Multilayer Assessment Method for EFQM', IEEE Transactions on Fuzzy Systems, vol. 27, no. 6, pp. 1252-1262.
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Deng, W-Y, Lendasse, A, Ong, Y-S, Tsang, W, Chen, L & Zheng, Q-H 2019, 'Domain Adaption via Feature Selection on Explicit Feature Map.', IEEE transactions on neural networks and learning systems, vol. 30, no. 4, pp. 1180-1190.
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Ding, W, Lin, C-T & Cao, Z 2019, 'Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes.', IEEE Transactions on Cybernetics, vol. 49, no. 7, pp. 2744-2757.
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Ding, W, Lin, C-T & Cao, Z 2019, 'Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces.', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 7, pp. 2013-2027.
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Do, T-TN, Chuang, C-H, Hsiao, S-J, Lin, C-T & Wang, Y-K 2019, 'Neural Comodulation of Independent Brain Processes Related to Multitasking.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 27, no. 6, pp. 1160-1169.
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Dong, M, Wen, S, Zeng, Z, Yan, Z & Huang, T 2019, 'Sparse fully convolutional network for face labeling', Neurocomputing, vol. 331, pp. 465-472.
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Dong, W, Li, W, Long, G, Tao, Z, Li, J & Wang, K 2019, 'Electrical resistivity and mechanical properties of cementitious composite incorporating conductive rubber fibres', Smart Materials and Structures, vol. 28, no. 8.
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Dong, X, Yan, Y, Tan, M, Yang, Y & Tsang, WHI 2019, 'Late Fusion via Subspace Search With Consistency Preservation.', IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 28, no. 1, pp. 518-528.
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Dong, X, Zheng, L, Ma, F, Yang, Y & Meng, D 2019, 'Few-Example Object Detection with Model Communication', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 7, pp. 1641-1654.
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Dong, Y, Lu, Z, Liu, Y, Zhang, Q & Wu, D 2019, 'China’s corridors-in-the-sky design and space-time congestion identification and the influence of air routes’ traffic flow', Journal of Geographical Sciences, vol. 29, no. 12, pp. 1999-2014.
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Du, X, Nie, F, Wang, W, Yang, Y & Zhou, X 2019, 'Exploiting Combination Effect for Unsupervised Feature Selection by l2,0 Norm.', IEEE transactions on neural networks and learning systems, vol. 30, no. 1, pp. 201-214.
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Gu, S, Zeng, W, Jia, Y & Yan, Z 2019, 'Intelligent Tennis Robot Based on a Deep Neural Network', Applied Sciences, vol. 9, no. 18, pp. 3746-3746.
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Guo, T, Pan, S, Zhu, X & Zhang, C 2019, 'CFOND: Consensus Factorization for Co-Clustering Networked Data', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 4, pp. 706-719.
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Guo, Z, Gong, S, Wen, S & Huang, T 2019, 'Event-Based Synchronization Control for Memristive Neural Networks With Time-Varying Delay', IEEE Transactions on Cybernetics, vol. 49, no. 9, pp. 3268-3277.
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Gupta, D, Pratama, M, Ma, Z, Li, J & Prasad, M 2019, 'Financial time series forecasting using twin support vector regression.', PloS one, vol. 14, no. 3.
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Han, B, Tsang, IW, Chen, L, Zhou, JT & Yu, CP 2019, 'Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels.', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 12, pp. 3774-3787.
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Han, B, Yao, Q, Pan, Y, Tsang, IW, Xiao, X, Yang, Q & Sugiyama, M 2019, 'Millionaire: a hint-guided approach for crowdsourcing', Machine Learning, vol. 108, pp. 831-858.
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Han, M, Bao, Y, Sun, Z, Wen, S, Xia, L, Zhao, J, Du, J & Yan, Z 2019, 'Automatic Segmentation of Human Placenta Images with U-Net', IEEE Access, vol. 7, pp. 180083-180092.
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Hao, P, Zhang, G, Martinez, L & Lu, J 2019, 'Regularizing Knowledge Transfer in Recommendation With Tag-Inferred Correlation', IEEE Transactions on Cybernetics.
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Hesamian, MH, Jia, W, He, X & Kennedy, P 2019, 'Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.', Journal of Digital Imaging, vol. 32, no. 4, pp. 582-596.
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Hu, C, Liu, X & Lu, J 2019, 'Robust trading strategies for a waste-to-energy combined heat and power plant in a day-ahead electricity market', IFAC-PapersOnLine, vol. 52, no. 13, pp. 1108-1113.
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Huang, K-C, Chuang, C-H, Wang, Y-K, Hsieh, C-Y, King, J-T & Lin, C-T 2019, 'The effects of different fatigue levels on brain-behavior relationships in driving.', Brain and behavior, vol. 9, no. 12.
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Huang, S, Kang, Z, Tsang, IW & Xu, Z 2019, 'Auto-weighted multi-view clustering via kernelized graph learning', PATTERN RECOGNITION, vol. 88, pp. 174-184.
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Huang, Y, Porter, A, Zhang, Y & Barrangou, R 2019, 'Collaborative networks in gene editing (vol 37, pg 1107, 2019)', NATURE BIOTECHNOLOGY, vol. 37, no. 12, pp. 1522-1522.
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Huang, Y, Porter, A, Zhang, Y & Barrangou, R 2019, 'Collaborative networks in gene editing.', Nature biotechnology, vol. 37, no. 10, pp. 1107-1109.
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Huang, Y, Porter, A, Zhang, Y, Lian, X & Guo, Y 2019, 'An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)', Technological Forecasting and Social Change, vol. 146, pp. 831-843.
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Hussain, W, Sohaib, O, Naderpour, M & Gao, H 2019, 'Cloud Marginal Resource Allocation: A Decision Support Model', Mobile Networks and Applications.
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Islam, MR, Lu, H, Hossain, J & Li, L 2019, 'Mitigating unbalance using distributed network reconfiguration techniques in distributed power generation grids with services for electric vehicles: A review', Journal of Cleaner Production, vol. 239.
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Jhang, JY, Lin, CJ, Young, KY & Lin, CT 2019, 'A hybrid of fuzzy theory and quadratic function for estimating and refining transmission map', Turkish Journal of Electrical Engineering and Computer Sciences, vol. 27, no. 5, pp. 3791-3803.
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Jiang, J, Lin, F, Fan, J, Lv, H & Wu, J 2019, 'A Destination Prediction Network Based on Spatiotemporal Data for Bike-Sharing', Complexity, vol. 2019.
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Jiang, J, Zhang, H, Pi, D & Dai, C 2019, 'A novel multi-module neural network system for imbalanced heartbeats classification', Expert Systems with Applications, vol. 1.
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Jiang, P, Wang, B, Li, H & Lu, H 2019, 'Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecasting', Energy, vol. 173, pp. 468-482.
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Jiang, X, Pan, S, Long, G, Xiong, F, Jiang, J & Zhang, C 2019, 'Cost-sensitive parallel learning framework for insurance intelligence operation', IEEE Transactions on Industrial Electronics, vol. 66, no. 12, pp. 9713-9723.
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Kaljahi, MA, Palaiahnakote, S, Anisi, MH, Idris, MYI, Blumenstein, M & Khan, MK 2019, 'A scene image classification technique for a ubiquitous visual surveillance system', Multimedia Tools and Applications, vol. 78, no. 5, pp. 5791-5818.
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Kaljahi, MA, Shivakumara, P, Hu, T, Jalab, HA, Ibrahim, RW, Blumenstein, M, Lu, T & Ayub, MNB 2019, 'A geometric and fractional entropy-based method for family photo classification', Expert Systems with Applications: X, vol. 3.
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Kaljahi, MA, Shivakumara, P, Idris, MYI, Anisi, MH & Blumenstein, M 2019, 'A new image size reduction model for an efficient visual sensor network', Journal of Visual Communication and Image Representation, vol. 63.
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Kaljahi, MA, Shivakumara, P, Idris, MYI, Anisi, MH, Lu, T, Blumenstein, M & Noor, NM 2019, 'An automatic zone detection system for safe landing of UAVs', Expert Systems with Applications, vol. 122, pp. 319-333.
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Khare, V, Shivakumara, P, Chan, CS, Lu, T, Meng, LK, Woon, HH & Blumenstein, M 2019, 'A novel character segmentation-reconstruction approach for license plate recognition', Expert Systems with Applications, vol. 131, pp. 219-239.
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Ko, LW, Lu, YC, Bustince, H, Chang, YC, Chang, Y, Ferandez, J, Wang, YK, Sanz, JA, Pereira Dimuro, G & Lin, CT 2019, 'Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface', IEEE Computational Intelligence Magazine, vol. 14, no. 1, pp. 96-106.
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Lai, L, Qing, Z, Yang, Z, Jin, X, Lai, Z, Wang, R, Hao, K, Lin, X, Qin, L, Zhang, W, Zhang, Y, Qian, Z & Zhou, J 2019, 'A Survey and Experimental Analysis of Distributed Subgraph Matching.', CoRR, vol. abs/1906.11518.

Lai, L, Qing, Z, Yang, Z, Jin, X, Lai, Z, Wang, R, Hao, K, Lin, X, Qin, L, Zhang, W, Zhang, Y, Qian, Z & Zhou, J 2019, 'Distributed Subgraph Matching on Timely Dataflow.', Proc. VLDB Endow., vol. 12, pp. 1099-1112.

Li, C, Zhang, F, Zhang, Y, Qin, L, Zhang, W & Lin, X 2019, 'Efficient Progressive Minimum k-core Search.', Proc. VLDB Endow., vol. 13, pp. 362-375.

Li, G & Yan, Z 2019, 'Reconstruction of sparse signals via neurodynamic optimization', International Journal of Machine Learning and Cybernetics, vol. 10, pp. 15-26.
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Li, H, Wang, J, Li, R & Lu, H 2019, 'Novel analysis–forecast system based on multi-objective optimization for air quality index', Journal of Cleaner Production, vol. 208, pp. 1365-1383.
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Li, R, Dai, Q, Qin, L, Wang, G, Xiao, X, Yu, JX & Qiao, S 2019, 'Signed Clique Search in Signed Networks: Concepts and Algorithms', IEEE Transactions on Knowledge and Data Engineering, pp. 1-1.
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Li, W, Qiao, M, Qin, L, Zhang, Y, Chang, L & Lin, X 2019, 'Eccentricities on small-world networks', VLDB Journal, vol. 28, no. 5, pp. 765-792.
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Liang, J, Zhang, Y, Zhong, JH & Yang, H 2019, 'A novel multi-segment feature fusion based fault classification approach for rotating machinery', Mechanical Systems and Signal Processing, vol. 122, pp. 19-41.
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Lin, A, Li, J & Ma, Z 2019, 'On Learning and Learned Data Representation by Capsule Networks', IEEE Access, vol. 7, pp. 50808-50822.
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Lin, CT, Chiu, C-Y, Singh, AK, King, J-T & Wang, YK 2019, 'A Wireless Multifunctional SSVEP-Based Brain Computer Interface Assistive System', IEEE Transactions on Cognitive and Developmental Systems, vol. 11, no. 3.
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Lin, CT, King, JT, Bharadwaj, P, Chen, CH, Gupta, A, Ding, W & Prasad, M 2019, 'EOG-Based Eye Movement Classification and Application on HCI Baseball Game', IEEE Access, vol. 7, pp. 96166-96176.
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Lin, C-T, Liu, C-H, Wang, P-S, King, J-T & Liao, L-D 2019, 'Design and Verification of a Dry Sensor-Based Multi-Channel Digital Active Circuit for Human Brain Electroencephalography Signal Acquisition Systems.', Micromachines, vol. 10, no. 11.
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Lin, Y, Zheng, L, Zheng, Z, Wu, Y, Hu, Z, Yan, C & Yang, Y 2019, 'Improving person re-identification by attribute and identity learning', Pattern Recognition, vol. 95, pp. 151-161.
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Lin, Y, Zheng, Z, Zhang, H, Gao, C & Yang, Y 2019, 'Bayesian query expansion for multi-camera person re-identification', Pattern Recognition Letters.
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Liu, B, Chen, L, Zhu, X & Qiu, W 2019, 'Encrypted data indexing for the secure outsourcing of spectral clustering', Knowledge and Information Systems, vol. 60, no. 3, pp. 1307-1328.
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Liu, R, Zhao, Y, Wei, S, Zheng, L & Yang, Y 2019, 'Modality-invariant image-text embedding for image-sentence matching', ACM Transactions on Multimedia Computing, Communications and Applications, vol. 15, no. 1.
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Liu, W, Shen, X, Du, B, Tsang, WHI, Zhang, W & Lin, X 2019, 'Hyperspectral Imagery Classification via Stochastic HHSVMs.', IEEE Transactions on Image Processing, vol. 28, no. 2, pp. 577-588.
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Liu, W, Xu, D, Tsang, IW & Zhang, W 2019, 'Metric Learning for Multi-Output Tasks.', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 2, pp. 408-422.
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Liu, XP, Zhang, GQ, Lu, J & Zhang, JQ 2019, 'Risk assessment using transfer learning for grassland fires', Agricultural and Forest Meteorology, vol. 269-270, pp. 102-111.
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Lu, J, Liu, A, Dong, F, Gu, F, Gama, J & Zhang, G 2019, 'Learning under Concept Drift: A Review', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 12, pp. 2346-2363.
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Lu, J, Yan, Z, Han, J & Zhang, G 2019, 'Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 4, pp. 286-296.
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Lu, J, Zuo, H & Zhang, G 2019, 'Fuzzy Multiple-source Transfer Learning', IEEE Transactions on Fuzzy Systems, pp. 1-1.
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Luo, M, Yan, C, Zheng, Q, Chang, X, Chen, L & Nie, F 2019, 'Discrete Multi-Graph Clustering', IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4701-4712.
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Lyu, B, Qin, L, Lin, X, Chang, L & Yu, JX 2019, 'Supergraph Search in Graph Databases via Hierarchical Feature-Tree', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 2, pp. 385-400.
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Ma, C, Tsang, IW, Shen, F & Liu, C 2019, 'Error Correcting Input and Output Hashing.', IEEE Transactions on Cybernetics, vol. 49, no. 3, pp. 781-791.
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Ma, J, Wu, J, Zhao, J, Jiang, J, Zhou, H & Sheng, QZ 2019, 'Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 12, pp. 3584-3597.
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Mandal, R, Roy, PP, Pal, U & Blumenstein, M 2019, 'Bag-of-visual-words for signature-based multi-script document retrieval', Neural Computing and Applications, vol. 31, pp. 6223-6247.
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Manzoor, M, Hussain, W, Sohaib, O, Hussain, FK & Alkhalaf, S 2019, 'Methodological investigation for enhancing the usability of university websites', Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 2, pp. 531-549.
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Mao, M, Lu, J, Han, J & Zhang, G 2019, 'Multiobjective e-commerce recommendations based on hypergraph ranking', INFORMATION SCIENCES, vol. 471, pp. 269-287.
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Mashat, MEM, Lin, C-T & Zhang, D 2019, 'Effects of Task Complexity on Motor Imagery-Based Brain-Computer Interface.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 27, no. 10, pp. 2178-2185.
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Mateos, MK, Trahair, TN, Mayoh, C, Barbaro, PM, Sutton, R, Revesz, T, Barbaric, D, Giles, JE, Alvaro, F, Mechinaud, F, Catchpoole, D, Kotecha, RS, Dalla-Pozza, L, Quinn, MCJ, MacGregor, S, Chenevix-Trench, G & Marshall, GM 2019, 'Risk factors for symptomatic venous thromboembolism during therapy for childhood acute lymphoblastic leukemia.', Thrombosis research, vol. 178, pp. 132-138.
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Ming, Y, Ding, W, Pelusi, D, Wu, D, Wang, YK, Prasad, M & Lin, CT 2019, 'Subject adaptation network for EEG data analysis', Applied Soft Computing Journal, vol. 84.
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Ming, Y, Lin, C-T, Bartlett, SD & Zhang, W-W 2019, 'Quantum topology identification with deep neural networks and quantum walks', NPJ COMPUTATIONAL MATERIALS, vol. 5.
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Naderpour, M, Rizeei, HM, Khakzad, N & Pradhan, B 2019, 'Forest fire induced Natech risk assessment: A survey of geospatial technologies', Reliability Engineering and System Safety, vol. 191.
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Nawaz, F, Hussain, O, Hussain, FK, Janjua, NK, Saberi, M & Chang, E 2019, 'Proactive management of SLA violations by capturing relevant external events in a Cloud of Things environment', Future Generation Computer Systems, vol. 95, pp. 26-44.
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Niu, K, Zhao, X, Li, F, Li, N, Peng, X & Chen, W 2019, 'UTSP: User-based two-step recommendation with popularity normalization towards diversity and novelty', IEEE Access, vol. 7, pp. 145426-145434.
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Pan, S, Hu, R, Fung, S-F, Long, G, Jiang, J & Zhang, C 2019, 'Learning Graph Embedding with Adversarial Training Methods', IEEE Transactions on Cybernetics.

Pan, S, Trentesaux, D, Ballot, E & Huang, GQ 2019, 'Horizontal collaborative transport: survey of solutions and practical implementation issues', INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol. 57, no. 15-16, pp. 5340-5361.
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Patel, OP, Bharill, N, Tiwari, A & Prasad, M 2019, 'A Novel Quantum-inspired Fuzzy Based Neural Network for Data Classification', IEEE Transactions on Emerging Topics in Computing.
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Patel, OP, Bharill, N, Tiwari, A, Patel, V, Gupta, O, Cao, J, Li, J & Prasad, M 2019, 'Advanced quantum based neural network classifier and its application for objectionable web content filtering', IEEE Access, vol. 7, pp. 98069-98082.
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Patel, OP, Tiwari, A, Chaudhary, R, Nuthalapati, SV, Bharill, N, Prasad, M, Hussain, FK & Hussain, OK 2019, 'Enhanced quantum-based neural network learning and its application to signature verification', Soft Computing, vol. 23, no. 9, pp. 3067-3080.
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Peng, Y, Zhang, Y, Lin, X, Zhang, W, Qin, L & Zhou, J 2019, 'Towards bridging theory and practice: hop-constrained s-t simple path enumeration', Proceedings of the VLDB Endowment, vol. 13, no. 4, pp. 463-476.
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Qiao, C, Lu, L, Yang, L & Kennedy, PJ 2019, 'Identifying brain abnormalities with schizophrenia based on a hybrid feature selection technology', Applied Sciences (Switzerland), vol. 9, no. 10.
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Qiao, M, Yu, J, Bian, W, Li, Q & Tao, D 2019, 'Adapting Stochastic Block Models to Power-Law Degree Distributions.', IEEE Transactions on Cybernetics, vol. 49, no. 2, pp. 626-637.
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Qin, H, Li, R-H, Wang, G, Qin, L, Yuan, Y & Zhang, Z 2019, 'Mining Bursting Communities in Temporal Graphs.', CoRR, vol. abs/1911.02780.

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Raza, M, Hussain, FK, Hussain, OK, Zhao, M & Rehman, ZU 2019, 'A comparative analysis of machine learning models for quality pillar assessment of SaaS services by multi-class text classification of users’ reviews', Future Generation Computer Systems, vol. 101, pp. 341-371.
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Razzak, MI, Blumenstein, M & Xu, G 2019, 'Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 27, no. 6, pp. 1117-1127.
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Reddy, TK, Arora, V, Behera, L, Wang, YK & Lin, CT 2019, 'Multiclass Fuzzy Time-Delay Common Spatio-Spectral Patterns with Fuzzy Information Theoretic Optimization for EEG-Based Regression Problems in Brain-Computer Interface (BCI)', IEEE Transactions on Fuzzy Systems, vol. 27, no. 10, pp. 1943-1951.
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Reddy, TK, Arora, V, Kumar, S, Behera, L, Wang, Y-K & Lin, C-T 2019, 'Electroencephalogram Based Reaction Time Prediction With Differential Phase Synchrony Representations Using Co-Operative Multi-Task Deep Neural Networks', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 5, pp. 369-379.
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Salamai, A, Hussain, OK, Saberi, M, Chang, E & Hussain, FK 2019, 'Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management', IEEE Access, vol. 7, pp. 49297-49315.
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Saqib, M, Khan, SD, Sharma, N & Blumenstein, M 2019, 'Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks', IEEE Access, vol. 7, pp. 35317-35329.
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Sarker, PC, Islam, MR, Guo, Y, Zhu, J & Lu, HY 2019, 'State-of-The-Art Technologies for Development of High Frequency Transformers with Advanced Magnetic Materials', IEEE Transactions on Applied Superconductivity, vol. 29, no. 2.
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Sin-Chan, P, Mumal, I, Suwal, T, Ho, B, Fan, X, Singh, I, Du, Y, Lu, M, Patel, N, Torchia, J, Popovski, D, Fouladi, M, Guilhamon, P, Hansford, JR, Leary, S, Hoffman, LM, Mulcahy Levy, JM, Lassaletta, A, Solano-Paez, P, Rivas, E, Reddy, A, Gillespie, GY, Gupta, N, Van Meter, TE, Nakamura, H, Wong, T-T, Ra, Y-S, Kim, S-K, Massimi, L, Grundy, RG, Fangusaro, J, Johnston, D, Chan, J, Lafay-Cousin, L, Hwang, EI, Wang, Y, Catchpoole, D, Michaud, J, Ellezam, B, Ramanujachar, R, Lindsay, H, Taylor, MD, Hawkins, CE, Bouffet, E, Jabado, N, Singh, SK, Kleinman, CL, Barsyte-Lovejoy, D, Li, X-N, Dirks, PB, Lin, CY, Mack, SC, Rich, JN & Huang, A 2019, 'A C19MC-LIN28A-MYCN Oncogenic Circuit Driven by Hijacked Super-enhancers Is a Distinct Therapeutic Vulnerability in ETMRs: A Lethal Brain Tumor.', Cancer cell, vol. 36, no. 1, pp. 51-67.
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Smith, CM, Catchpoole, D & Hutvagner, G 2019, 'Non-Coding RNAs in Pediatric Solid Tumors.', Frontiers in Genetics, vol. 10.
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Sohaib, O, Naderpour, M, Hussain, W & Martinez, L 2019, 'Cloud Computing Model Selection for E-commerce Enterprises Using a New 2-tuple Fuzzy Linguistic Decision-Making Method', Computers & Industrial Engineering, vol. 132, pp. 47-47.
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Sun, L, Dong, H, Hussain, OK, Hussain, FK & Liu, AX 2019, 'A framework of cloud service selection with criteria interactions', Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, vol. 94, pp. 749-764.
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van Rijmenam, M, Erekhinskaya, T, Schweitzer, J & Williams, MA 2019, 'Avoid being the turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty', Long Range Planning, vol. 52, no. 5.
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Vincent Poor, H, Shi, Y, Tuan, HD, Savkin, AV & Duong, TQ 2019, 'Model predictive control for smart grids with multiple electric-vehicle charging stations', IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 2127-2136.
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Vo, K, Jonnagaddala, J & Liaw, ST 2019, 'Statistical supervised meta-ensemble algorithm for medical record linkage', Journal of Biomedical Informatics, vol. 95.
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Wang, B, Gao, Y, Sun, C, Blumenstein, M & La Salle, J 2019, 'Chord Bunch Walks for Recognizing Naturally Self-Overlapped and Compound Leaves.', IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 28, no. 12, pp. 5963-5976.
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Wang, G, Zhang, G, Choi, KS & Lu, J 2019, 'Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer', IEEE Transactions on Systems Man and Cybernetics: Systems, vol. 49, no. 7, pp. 1527-1540.
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Wang, H & Wen, S 2019, 'Existence and exponential stability of solutions for quaternion-valued delayed hopfield neural networks by ξ-Norms', IEEE Access, vol. 7, pp. 184509-184517.
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Wang, H, Wu, J, Zhang, P & Chen, Y 2019, 'Learning Shapelet Patterns from Network-based Time Series Data', IEEE Transactions on Industrial Informatics, vol. 15, no. 7, pp. 3864-3876.
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Wang, H, Zhang, Q, Wu, J, Pan, S & Chen, Y 2019, 'Time series feature learning with labeled and unlabeled data', Pattern Recognition, vol. 89, pp. 55-66.
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Wang, J, Zhang, N & Lu, H 2019, 'A novel system based on neural networks with linear combination framework for wind speed forecasting', Energy Conversion and Management, vol. 181, pp. 425-442.
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Wang, K, Lin, X, Qin, L, Zhang, W & Zhang, Y 2019, 'Vertex priority based butterfly counting for large-scale bipartite networks', Proceedings of the VLDB Endowment, vol. 12, no. 10, pp. 1139-1152.
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Wang, W, Zhang, G & Lu, J 2019, 'Hierarchy Visualization for Group Recommender Systems', IEEE Transactions on Systems Man and Cybernetics: Systems, vol. 49, no. 6, pp. 1152-1163.
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Wang, X, Liu, Y, Lu, J, Xiong, F & Zhang, G 2019, 'TruGRC: Trust-Aware Group Recommendation with Virtual Coordinators', FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, vol. 94, pp. 224-236.
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Wang, X, Qin, L, Lin, X, Zhang, Y & Chang, L 2019, 'Leveraging set relations in exact and dynamic set similarity join', VLDB Journal, vol. 28, pp. 267-292.
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Wang, Y, Feng, C, Chen, L, Yin, H, Guo, C & Chu, Y 2019, 'User identity linkage across social networks via linked heterogeneous network embedding', World Wide Web, vol. 22, pp. 2611-2632.
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Watson, PH, Hewitt, RE, Catchpoole, DR & Grizzle, WE 2019, 'Biobank: What's in a Name?', Biopreservation and biobanking, vol. 17, no. 3, pp. 204-208.
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Wen, D, Qin, L, Zhang, Y, Chang, L & Lin, X 2019, 'Efficient structural graph clustering: an index-based approach', VLDB Journal, vol. 28, no. 3, pp. 377-399.
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Wen, D, Qin, L, Zhang, Y, Lin, X & Yu, JX 2019, 'I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 1, pp. 75-90.
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Wen, S, Hu, R, Yang, Y, Huang, T, Zeng, Z & Song, Y-D 2019, 'Memristor-Based Echo State Network With Online Least Mean Square', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 9, pp. 1787-1796.
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Wen, S, Liu, W, Yang, Y, Huang, T & Zeng, Z 2019, 'Generating Realistic Videos From Keyframes With Concatenated GANs', IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 8, pp. 2337-2348.
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Wen, S, Xiao, S, Yang, Y, Yan, Z, Zeng, Z & Huang, T 2019, 'Adjusting Learning Rate of Memristor-based Multilayer Neural Networks via Fuzzy Method', IEEE Transactions on Computer - Aided Design of Integrated Circuits and Systems, vol. 38, no. 6, pp. 1084-1094.
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Williams, MA 2019, 'The Artificial Intelligence race: Will Australia lead or lose?', Journal and Proceedings of the Royal Society of New South Wales, vol. 152, no. 1, pp. 105-114.
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Wu, D, Lin, C-T & Huang, J 2019, 'Active learning for regression using greedy sampling', Information Sciences, vol. 474, pp. 90-105.
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Wu, J, Pan, S, Jiang, J, Cai, Z, Du, B, Tian, Y, Wang, S & Wang, H 2019, 'IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments', IEEE Access, vol. 7, pp. 33778-33786.
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Wu, W, Li, B, Chen, L, Zhang, C & Yu, P 2019, 'Improved Consistent Weighted Sampling Revisited', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 12, pp. 2232-2345.
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Wu, Y, Lin, Y, Dong, X, Yan, Y, Bian, W & Yang, Y 2019, 'Progressive Learning for Person Re-Identification with One Example.', IEEE Transactions on Image Processing, vol. 28, no. 6, pp. 2872-2881.
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Xu, D, Tsang, IW, Chew, EK, Siclari, C & Kaul, V 2019, 'A Data-analytics Approach for Enterprise Resilience', IEEE Intelligent Systems, vol. 34, no. 3, pp. 6-18.
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Xu, X, Tsang, IW & Liu, C 2019, 'Complementary Attributes: A New Clue to Zero-Shot Learning.', IEEE transactions on cybernetics.
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Xuan, J, Lu, J & Zhang, G 2019, 'A Survey on Bayesian Nonparametric Learning', ACM COMPUTING SURVEYS, vol. 52, no. 1.
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Xuan, J, Lu, J & Zhang, G 2019, 'Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization', Artificial Intelligence, vol. 271, pp. 43-73.
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Xue, S, Lu, J & Zhang, G 2019, 'Cross-domain network representations', PATTERN RECOGNITION, vol. 94, pp. 135-148.
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Yan, Z, Liu, W, Wen, S & Yang, Y 2019, 'Multi-label image classification by feature attention network', IEEE Access, vol. 7, pp. 98005-98013.
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Yang, J, Zhang, Y, Zhang, W & Lin, X 2019, 'Cost optimization based on influence and user preference', KNOWLEDGE AND INFORMATION SYSTEMS, vol. 61, no. 2, pp. 695-732.
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Yang, W, Wang, J, Lu, H, Niu, T & Du, P 2019, 'Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China', Journal of Cleaner Production, vol. 222, pp. 942-959.
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Yang, Y, Zhang, W, Zhang, Y, Lin, X & Wang, L 2019, 'Selectivity Estimation on Set Containment Search', Data Science and Engineering, vol. 4, no. 3, pp. 254-268.
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Yao, J, Wang, J, Tsang, W, Zhang, Y, Sun, J, Zhang, C & Zhang, R 2019, 'Deep Learning from Noisy Image Labels with Quality Embedding.', IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 28, no. 4, pp. 1909-1922.
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Yao, Y, Wang, L, Zhang, L, Yang, Y, Li, P, Zimmermann, R & Shao, L 2019, 'Learning Latent Stable Patterns for Image Understanding With Weak and Noisy Labels.', IEEE transactions on cybernetics, vol. 49, no. 12, pp. 4243-4252.
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Yin, R, Li, K, Zhang, G & Lu, J 2019, 'A deeper graph neural network for recommender systems', Knowledge-Based Systems, vol. 185.
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Zhan, K, Chang, X, Guan, J, Chen, L, Ma, Z & Yang, Y 2019, 'Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features.', IEEE Transactions on Cybernetics, vol. 49, no. 5, pp. 1826-1834.
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Zhan, K, Nie, F, Wang, J & Yang, Y 2019, 'Multiview Consensus Graph Clustering.', IEEE Transactions on Image Processing, vol. 28, no. 3, pp. 1261-1270.
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Zhan, K, Niu, C, Chen, C, Nie, F, Zhang, C & Yang, Y 2019, 'Graph Structure Fusion for Multiview Clustering', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 10, pp. 1984-1993.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2019, 'Attributed network embedding via subspace discovery', Data Mining and Knowledge Discovery, vol. 33, no. 6, pp. 1953-1980.
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Zhang, F, Lin, X, Zhang, Y, Qin, L & Zhang, W 2019, 'Efficient community discovery with user engagement and similarity', VLDB Journal, vol. 28, no. 6, pp. 987-1012.
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Zhang, HW, Kok, VC, Chuang, SC, Tseng, CH, Lin, CT, Li, TC, Sung, FC, Wen, CP, Hsiung, CA & Hsu, CY 2019, 'Long-term exposure to ambient hydrocarbons increases dementia risk in people aged 50 years and above in Taiwan', Current Alzheimer Research, vol. 16, no. 14, pp. 1276-1289.
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Zhang, H-W, Kok, VC, Chuang, S-C, Tseng, C-H, Lin, C-T, Li, T-C, Sung, F-C, Wen, CP, Hsiung, CA & Hsu, CY 2019, 'Long-term ambient hydrocarbons exposure and incidence of ischemic stroke.', PloS one, vol. 14, no. 12, p. e0225363.
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Zhang, K, Qu, Z, Dong, Y, Lu, H, Leng, W, Wang, J & Zhang, W 2019, 'Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting', Renewable Energy, vol. 130, pp. 814-830.
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Zhang, Q, Lu, J, Wu, D & Zhang, G 2019, 'A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities.', IEEE transactions on neural networks and learning systems, vol. 30, no. 7, pp. 1998-2012.
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Zhang, Q, Wu, J, Zhang, P, Long, G & Zhang, C 2019, 'Salient Subsequence Learning for Time Series Clustering', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 9, pp. 2193-2207.
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Zhang, X, Lu, W, Li, F, Peng, X & Zhang, R 2019, 'Deep Feature Fusion Model for Sentence Semantic Matching', Computers, Materials & Continua, vol. 61, no. 2, pp. 601-616.
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Zhang, Y, Huang, Y, Porter, AL, Zhang, G & Lu, J 2019, 'Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study', Technological Forecasting and Social Change, vol. 146, pp. 795-807.
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Zhang, Y, Lu, X & Li, J 2019, 'Single-sample face recognition under varying lighting conditions based on logarithmic total variation', Signal, Image and Video Processing, vol. 13, pp. 657-665.
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Zhang, Y, Lv, P, Lu, X & Li, J 2019, 'Face detection and alignment method for driver on highroad based on improved multi-task cascaded convolutional networks', Multimedia Tools and Applications, vol. 78, no. 18, pp. 26661-26679.
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Zhang, Y, Porter, A, Chiavetta, D, Newman, NC & Guo, Y 2019, 'Forecasting technical emergence: An introduction', TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, vol. 146, pp. 626-627.
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Zhang, Y, Wang, J & Lu, H 2019, 'Research and application of a novel combined model based on multiobjective optimization for multistep-ahead electric load forecasting', Energies, vol. 12, no. 10.
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Zhang, Y, Wu, J, Cai, Z, Du, B & Yu, PS 2019, 'An unsupervised parameter learning model for RVFL neural network', Neural Networks, vol. 112, pp. 85-97.
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Zhao, Y, Chen, J, Wu, D, Teng, J, Sharma, N, Sajjanhar, A & Blumenstein, M 2019, 'Network anomaly detection by using a time-decay closed frequent pattern', Information (Switzerland), vol. 10, no. 8.
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Zheng, L, Huang, Y, Lu, H & Yang, Y 2019, 'Pose Invariant Embedding for Deep Person Re-identification.', IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4500-4509.
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Zheng, Z, Zheng, L & Yang, Y 2019, 'Pedestrian Alignment Network for Large-scale Person Re-identification', IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 10, pp. 3037-3045.
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Zhong, Z, Zheng, L, Zheng, Z, Li, S & Yang, Y 2019, 'CamStyle: A Novel Data Augmentation Method for Person Re-Identification.', IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 28, no. 3, pp. 1176-1190.
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Zhou, J, Huang, B, Yan, Z & Bünzli, J-CG 2019, 'Emerging role of machine learning in light-matter interaction', Light: Science & Applications, vol. 8, no. 1.
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Zhou, JT, Pan, SJ & Tsang, IW 2019, 'A deep learning framework for Hybrid Heterogeneous Transfer Learning', Artificial Intelligence, vol. 275, pp. 310-328.
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Zhou, JT, Tsang, IW, Ho, SS & Müller, KR 2019, 'N-ary decomposition for multi-class classification', Machine Learning, vol. 108, no. 5, pp. 809-830.
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Zhou, JT, Tsang, IW, Pan, SJ & Tan, M 2019, 'Multi-class Heterogeneous Domain Adaptation', Journal of Machine Learning Research, vol. 20, no. 57, pp. 1-31.
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Zhou, X, Huang, L, Zhang, Y & Yu, M 2019, 'A hybrid approach to detecting technological recombination based on text mining and patent network analysis', Scientometrics, vol. 121, no. 2, pp. 699-737.
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Zuo, H, Lu, J, Zhang, G & Liu, F 2019, 'Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning', IEEE Transactions on Fuzzy Systems, vol. 27, no. 2, pp. 291-303.
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Zuo, H, Lu, J, Zhang, G & Pedrycz, W 2019, 'Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces', IEEE Transactions on Fuzzy Systems, vol. 27, no. 2, pp. 348-361.
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Conferences

Agarwal, A, Dowsley, R, McKinney, ND, Wu, D, Lin, C-T, Cock, MD & Nascimento, A 2018, 'Privacy-preserving linear regression for brain-computer interface applications', Proceedings 2018 IEEE International Conference on Big Data, IEEE International Conference on Big Data, IEEE, Seattle, WA, USA.
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Aldini, S, Akella, A, Singh, A, Wang, Y-K, Carmichael, M, Liu, D & Lin, C-T 2019, 'Effect of Mechanical Resistance on Cognitive Conflict in Physical Human-Robot Collaboration', https://ieeexplore.ieee.org/xpl/conhome/8780387/proceeding, International Conference on Robotics and Automation, IEEE, Canada, pp. 6137-6143.
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Aravanis, T, Peppas, P & Williams, MA 2019, 'Observations on darwiche and Pearl's approach for iterated belief revision', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Macao, pp. 1509-1515.
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Aung, TWW, Huo, H & Sui, Y 2019, 'Interactive Traceability Links Visualization using Hierarchical Trace Map', 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME), IEEE International Conference on Software Maintenance and Evolution, IEEE, Cleveland, Ohio.
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Awan, Z, Kahlke, T, Ralph, PJ & Kennedy, PJ 2019, 'Chemical named entity recognition with deep contextualized neural embeddings', IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management., Austria, pp. 135-144.
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Bhagvathiperumal, S & Goyal, M 2018, 'Dynamic Provisioning of Cloud Resources Based on Workload Prediction', Computing and Network Sustainability, Second International Research Symposium on Computing and Network Sustainability, SpringerLink, Goa, India, pp. 41-49.

Blumenstein, M & Pal, U 2019, 'Welcome message from the general chairs', Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pp. xxxvi-xxxvii.
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Borah, P, Gupta, D & Prasad, M 2018, 'Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India, pp. 412-419.
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Brunker, A, Catchpoole, D, Kennedy, P, Simoff, S & Nguyen, QV 2019, 'Two-dimensional immersive cohort analysis supporting personalised medical treatment', Proceedings - 2019 23rd International Conference in Information Visualization - Part II, IV-2 2019, International Conference in Information Visualization, IEEE, Adelaide, Australia, pp. 34-41.
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Cao, Z, Chang, YC, Prasad, M, Tanveer, M & Lin, CT 2019, 'Tensor decomposition for EEG signals retrieval', Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, IEEE International Conference on Systems, Man and Cybernetics, IEEE, Bari, Italy, pp. 2423-2427.
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Chang, L & Qin, L 2019, 'Cohesive Subgraph Computation Over Large Sparse Graphs', 2019 IEEE 35th International Conference on Data Engineering (ICDE), IEEE International Conference on Data Engineering, IEEE, Macao, pp. 2068-2071.
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Chang, Y-C, Dostovalova, A, Lin, C-T & Kim, J 2019, 'Intelligent Multi-agent Coordination and Learning', 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), IEEE International Conference on Systems, Man and Cybernetics, IEEE, Bari, Italy.
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CHEN, F, Pan, S, Jiang, J, Huo, H & Long, G 2019, 'DAGCN: Dual Attention Graph Convolutional Networks', 2019 International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Chen, W & Long, G 2019, 'Deep learning for healthcare data processing', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 600-601.
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Chen, X, Cao, X, Xu, Z, Zhang, Y, Shang, S & Zhang, W 2019, 'Accelerate MaxBRkNN Search by kNN estimation', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Macao, Macao, pp. 1730-1733.
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Cheng, EJ, Young, KY & Lin, CT 2018, 'Image-based EEG signal processing for driving fatigue prediction', 2018 International Automatic Control Conference, CACS 2018, International Automatic Control Conference, IEEE, Taoyuan, Taiwan.
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Cheng, X, Wang, H, Hua, J, Zhang, M, Xu, G, Yi, L & Sui, Y 2019, 'Static detection of control-flow-related vulnerabilities using graph embedding', Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS, International Conference on Engineering of Complex Computer Systems, IEEE, Guangzhou, China, pp. 41-50.
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Chou, KP, Lin, CT & Lin, WC 2019, 'A self-adaptive artificial bee colony algorithm with local search for TSK-type neuro-fuzzy system training', 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 1502-1509.
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Chow, D, Liu, A, Zhang, G & Lu, J 2019, 'Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting', Proceedings of the International Joint Conference on Neural Networks.
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Chua, BB & Zhang, Y 2019, 'Predicting open source programming language repository file survivability from forking data', Proceedings of the 15th International Symposium on Open Collaboration, International Symposium on Open Collaboration, ACM, Skövde Sweden.
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Coluccia, A, Fascista, A, Schumann, A, Sommer, L, Ghenescu, M, Piatrik, T, De Cubber, G, Nalamati, M, Kapoor, A, Saqib, M, Sharma, N, Blumenstein, M, Magoulianitis, V, Ataloglou, D, Dimou, A, Zarpalas, D, Daras, P, Craye, C, Ardjoune, S, De La Iglesia, D, Mendez, M, Dosil, R & Gonzalez, I 2019, 'Drone-vs-bird detection challenge at IEEE AVSS2019', 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019, IEEE International Conference on Advanced Video and Signal Based Surveillance, IEEE, Taipei, Taiwan.
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Cortes, CAT, Chen, HT & Lin, CT 2019, 'Analysis of VR sickness and gait parameters during non-isometric virtualwalking with large translational gain', Proceedings - VRCAI 2019: 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, International Conference on Virtual-Reality Continuum and its Applications in Industry, AXM, Brisbane, Australia, pp. 1-10.
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Cortes, CAT, Chen, HT & Lin, CT 2019, 'Analysis of VR sickness and gait parameters during non-isometric virtualwalking with large translational gain', Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST.
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Dasgupta, A, Gill, A & Hussain, F 2019, 'A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems', Proceedings of the 8th International Conference on Data Science, Technology and Applications: DATA, 8th International Conference on Data Science, Technology and Applications, SCITEPRESS – Science and Technology Publications, Prague, Czech Republic, pp. 209-216.
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Dong, X & Yang, Y 2019, 'network pruning via transformable architecture search', Vancouver.

Dong, X & Yang, Y 2019, 'Searching for a robust neural architecture in four GPU hours', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1761-1770.
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Fan, H, Zhu, L & Yang, Y 2019, 'Cubic LSTMs for Video Prediction', The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu,Hawaii, USA, pp. 8263-8270.
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Fang, Z, Lu, J, Liu, F & Zhang, G 2019, 'Unsupervised Domain Adaptation with Sphere Retracting Transformation', Proceedings of the International Joint Conference on Neural Networks.
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Gardenfors, P, Williams, M-A, Johnston, B, Billingsley, R, Vitale, J, Peppas, P & Clark, J 2018, 'Event boards as tools for holistic AI', International Workshop on Artificial Intelligence and Cognition, CEUR, Palermo, Italy, pp. 1-10.
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Gehrke, L, Akman, S, Lopes, P, Chen, A, Singh, AK, Chen, H-T, Lin, CT & Gramann, K 2019, 'Detecting Visuo-Haptic Mismatches in Virtual Reality using the Prediction Error Negativity of Event-Related Brain Potentials', CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI Conference on Human Factors in Computing Systems (CHI), ASSOC COMPUTING MACHINERY, Glasgow, SCOTLAND.
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Gudi, SLKC, Ojha, S, Sidra, Johnston, B & Williams, MA 2017, 'A proactive robot tutor based on emotional intelligence', Advances in Intelligent Systems and Computing, International Conference on Robot Intelligence Technology and Applications, Springer, Korea, pp. 113-120.
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Gupta, D, Sarma, HJ, Mishra, K & Prasad, M 2019, 'Regularized universum twin support vector machine for classification of EEG signal', Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2298-2304.
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Gupta, U, Gupta, D & Prasad, M 2018, 'Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India, pp. 228-235.
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He, Y, Liu, P, Wang, Z, Hu, Z & Yang, Y 2019, 'Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration', IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, Long Beach, CA, USA.
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Hesamian, MH, Jia, W, He, X & Kennedy, PJ 2019, 'Atrous Convolution for Binary Semantic Segmentation of Lung Nodule', ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Brighton. UK, pp. 1015-1019.
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Hu, J, Yan, C, Liu, X, Zhang, J, Peng, D & Yang, Y 2019, 'Truncated gradient confidence-weighted based online learning for imbalance streaming data', Proceedings - IEEE International Conference on Multimedia and Expo, IEEE International Conference on Multimedia and Expo, IEEE, Shanghai, China, pp. 133-138.
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Huang, Q, Zhou, C, Wu, J, Wang, M & Wang, B 2019, 'Deep Structure Learning for Rumor Detection on Twitter', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Islam, MR, Helen Lu, H, Hossain, MJ & Li, L 2019, 'Improving Power Quality of Distributed PV-EV Distribution Grid by Mitigating Unbalance', 2019 IEEE International Conference on Industrial Technology (ICIT), 2019 IEEE International Conference on Industrial Technology (ICIT), IEEE, Melbourne, Australia.
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Islam, MR, Lu, H, Fang, G, Li, L & Hossain, MJ 2019, 'Optimal Dispatch of Electrical Vehicle and PV Power to Improve the Power Quality of an Unbalanced Distribution Grid', 2019 Proceedings of International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), 2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), IEEE, Shenzhen, China.
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Islam, MR, Lu, H, Hossain, MJ & Li, L 2019, 'Compensating Neutral Current, Voltage Unbalance and Improving Voltage of an Unbalanced Distribution Grid Connected with EV and Renewable Energy Sources', 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), International Conference on Electrical Machines and Systems, IEEE, Harbin, China.
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Islam, MR, Lu, HH, Hossain, MJ & Li, L 2019, 'A Comparison of Performance of GA, PSO and Differential Evolution Algorithms for Dynamic Phase Reconfiguration Technology of a Smart Grid', 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, pp. 858-865.
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Ji, S, Long, G, Pan, S, Zhu, T, Jiang, J & Wang, S 2918, 'Detecting Suicidal Ideation with Data Protection in Online Communities', Database Systems for Advanced Applications (LNCS), International Conference on Database Systems for Advanced Applications, Springer, Chiang Mai, Thailand, pp. 225-229.
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Ji, S, Pan, S, Long, G, Li, X, Jiang, J & Huang, Z 2019, 'Learning Private Neural Language Modeling with Attentive Aggregation', International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Jia, B, Niu, K, Hou, X, Li, N, Peng, X, Gu, P & Jia, R 2019, 'Prediction for Student Academic Performance Using SMNaive Bayes Model', Lecture Notes in Computer Science, Advanced Data Mining and Applications, Springer Verlag, Dalian, China.
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Jiang, S, Cao, J & Prasad, M 2019, 'The Metrics to Evaluate the Health Status of OSS Projects Based on Factor Analysis', Communications in Computer and Information Science, CCF Conference on Computer Supported Cooperative Work and Social Computing, Springer, Kunming, China, pp. 723-737.
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Kang, G, Jiang, L, Yang, Y & Hauptmann, AG 2019, 'Contrastive adaptation network for unsupervised domain adaptation', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Long Beach, CA, USA, pp. 4888-4897.
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Lau, CW, Nguyen, QV, Qu, Z, Simoff, S & Catchpoole, D 2019, 'Immersive Intelligence Genomic Data Visualisation', ACM International Conference Proceeding Series.
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Lei, Y & Sui, Y 2019, 'Fast and Precise Handling of Positive Weight Cycles for Field-Sensitive Pointer Analysis', Static Analysis, International Static Analysis Symposium, Springer, Porto, Portugal, pp. 27-47.
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Li, C, Fan, X, Li, B, Sisson, S & Chen, L 2019, 'Scalable Deep Generative Relational Model with High-Order Node Dependence', Vancouver, Canada.

Li, G, Zhu, L, Liu, P & Yang, Y 2019, 'Entangled Transformer for Image Captioning', IEEE International Conference on Computer Vision, ICCV, The IEEE International Conference on Computer Vision (ICCV), Long Beach, pp. 8928-8937.

Li, R-H, Dai, Q, Wang, G, Ming, Z, Qin, L & Yu, JX 2019, 'Improved Algorithms for Maximal Clique Search in Uncertain Networks.', 2019 IEEE 35th International Conference on Data Engineering (ICDE), IEEE 35th International Conference on Data Engineering, IEEE, Macao, Macao, pp. 1178-1189.
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Li, W, Qiao, M, Qin, L, Zhang, Y, Chang, L & Lin, X 2019, 'Scaling Distance Labeling on Small-World Networks', SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, ACM SIGMOD International Conference on Management of Data (SIGMOD), ASSOC COMPUTING MACHINERY, Amsterdam, NETHERLANDS, pp. 1060-1077.
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Lin, J, Pan, S, Lee, CS & Oviatt, S 2019, 'An explainable deep fusion network for affect recognition using physiological signals', CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, ACM International Conference on Information and Knowledge Management, ACM, China, pp. 2069-2072.
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Lin, X, Yang, H, Wu, J, Zhou, C & Wang, B 2019, 'Guiding cross-lingual entity alignment via adversarial knowledge embedding', Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 429-438.
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Lin, Y, Dong, X, Zheng, L, Yan, Y & Yang, Y 2019, 'A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification', Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu, HI, pp. 8738-8745.
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Liu, B, Yuan, L, Lin, X, Qin, L, Zhang, W & Zhou, J 2019, 'Efficient (α, β)-core Computation: an Index-based Approach', Proceedings of the World Wide Web Conference WWW 2019, World Wide Web Conference, ACM, San Francisco CA USA, pp. 1130-1141.
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Liu, F, Wu, J, Zhou, C & Yang, J 2019, 'Evolutionary Community Detection in Dynamic Social Networks', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, OEEE, Budapest, Hungary14 Jun 2019.
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Liu, F, Zhang, G & Lu, J 2019, 'A Novel Fuzzy Neural Network for Unsupervised Domain Adaptation in Heterogeneous Scenarios', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, New Orleans, LA, USA.
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Liu, L, Zhou, T, Long, G, Jiang, J & Zhang, C 2019, 'Attribute Propagation Network for Graph Zero-shot Learning', New York.

Liu, L, Zhou, T, Long, G, Jiang, J & Zhang, C 2019, 'Learning to Propagate for Graph Meta-Learning', Advances in Neural Information Processing Systems 32 (NIPS 2019), Conference on Neural Information Processing Systems, NIPS, Canada, pp. 1-12.
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Liu, L, Zhou, T, Long, G, Yao, L, Jiang, J & Zhang, C 2019, 'Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph', The 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China.

Liu, W, Hanchen, W, Ying, Z, Wei, W & Lu, Q 2019, 'I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space', IEEE 35th International Conference on Data Engineering, Macao.
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Liu, Y, Lee, J, Park, M, Kim, S, Yang, E, Hwang, SJ & Yang, Y 2019, 'Learning to propagate labels: Transductive propagation network for few-shot learning', 7th International Conference on Learning Representations, ICLR 2019, International Conference on Learning Representations, OpenReview, New Orleans, Louisiana, United States, pp. 1-14.
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Liu, Y, Yan, Y, Chen, L, Han, Y & Yang, Y 2019, 'Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection', THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, Honolulu, HI, pp. 4408-4415.

Liu, Y, Yan, Y, Chen, L, Han, Y & Yang, Y 2019, 'Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection', Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu, Hawaii USA, pp. 4408-4415.
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Long, G, Chen, K, Yao, L, Zhang, D, Chang, X & Wang, S 2019, 'Distributionally Robust Semi-Supervised Learning for People-Centric Sensing', Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu, Hawaii USA, pp. 3321-3328.
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Lu, C, Peng, X & Wei, Y 2019, 'Low-rank tensor completion with a new tensor nuclear norm induced by invertible linear transforms', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, Long Beach, CA, USA, pp. 5989-5997.
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Madhisetty, S & Williams, MA 2018, 'Managing privacy through key performance indicators when photos and videos are shared via social media', Advances in Intelligent Systems and Computing, Science and Information Conference, Springer, London, United Kingdom, pp. 1103-1117.
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Madhisetty, S & Williams, MA 2018, 'The role of trust and control in managing privacy when photos and videos are stored or shared', Advances in Intelligent Systems and Computing, Future Technologies Conference, Springer, Vancouver, BC (Canada), pp. 127-140.
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Madhisetty, S, Williams, MA, Massy-Greene, J, Franco, L & El Khoury, M 2019, 'How to manage privacy in photos after publication', ICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems, International Conference on Enterprise Information Systems, SciTechPress, Greece, pp. 162-168.
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Mahdavi, F, Hayati, H, Kennedy, P & Eager, D 2019, 'Ageing and resulting injuries – effects on racing greyhounds', European Society of Biomechanics, Vienna, Austria.

Mahdavi, F, Hayati, H, Kennedy, P & Eager, D 2019, 'Effects of the number of starts on greyhound racing dynamics', International Society of Biomechanics Conference, Calgary, Canada.

Meena, MS, Singh, P, Rana, A, Mery, D & Prasad, M 2019, 'A Robust Face Recognition System for One Sample Problem', Image and Video Technology (LNCS), Pacific-Rim Symposium on Image and Video Technology, Springer, Sydney, NSW, Australia, pp. 13-26.
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Meng, L, Lin, C-T, Jung, T-P & Wu, D 2019, 'White-box target attack for EEG-based BCI regression problems', Neural Information Processing 26th International Conference, ICONIP 2019 Sydney, NSW, Australia, December 12–15, 2019 Proceedings, Part I, International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society, Springer, Australia, pp. 476-490.
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Mirtalaie, MA, Hussain, OK, Chang, E & Hussain, FK 2018, 'A fine-grained ontology-based sentiment aggregation approach', Advances in Intelligent Systems and Computing, International Conference on Complex, Intelligent, and Software Intensive Systems, Springer, Japan, pp. 252-262.
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Naji, M, Al-Ani, A, Braytee, A, Anaissi, A & Kennedy, P 2019, 'Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening', Advances in Intelligent Systems and Computing, Workshops of the 33rd International Conference on Advanced Information Networking and Applications, Springer, Japan, pp. 923-935.
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Nalamati, M, Kapoor, A, Saqib, M, Sharma, N & Blumenstein, M 2019, 'Drone detection in long-range surveillance videos', 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019, International Conference on Advanced Video and Signal Based Surveillance, IEEE, Taipei, Taiwan.
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Ojha, S, Gudi, SLKC, Vitale, J, Williams, MA & Johnston, B 2018, 'I remember what you did: A behavioural guide-robot', Advances in Intelligent Systems and Computing, International Conference on Robot Intelligence Technology and Applications, Kuala Lumpur, Malaysia, pp. 273-282.
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Ojha, S, Vitale, J, Raza, SA, Billingsley, R & Williams, M-A 2019, 'Integrating Personality and Mood with Agent Emotions', AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), ASSOC COMPUTING MACHINERY, Montreal, CANADA, pp. 2147-2149.

Peng, X, Long, G, Pan, S, Jiang, J & Niu, Z 2019, 'Attentive Dual Embedding for Understanding Medical Concepts in Electronic Health Records', 2019 International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Pfeiffer, S, Ebrahimian, D, Herse, S, Le, TN, Leong, S, Lu, B, Powell, K, Raza, SA, Sang, T, Sawant, I, Tonkin, M, Vinaviles, C, Vu, TD, Yang, Q, Billingsley, R, Clark, J, Johnston, B, Madhisetty, S, McLaren, N, Peppas, P, Vitale, J & Williams, MA 2018, 'UTS Unleashed! RoboCup@Home SSPL Champions 2019', RoboCup 2019: Robot World Cup XXIII, RoboCup 2019, Springer International Publishing, Sydney, NSW, Australia, pp. 603-615.
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Prasad, M, Rajora, S, Gupta, D, Daraghmi, YA, Daraghmi, E, Yadav, P, Tiwari, P & Saxena, A 2019, 'Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India,, pp. 2193-2199.
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Pratama, M, De Carvalho, M, Xie, R, Lughofer, E & Lu, J 2019, 'ATL: Autonomous knowledge transfer from many streaming processes', International Conference on Information and Knowledge Management, Proceedings, pp. 269-278.
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Qararyah, F, Daraghmi, YA, Daraghmi, E, Rajora, S, Lin, CT & Prasad, M 2018, 'A Time Efficient Model for Region of Interest Extraction in Real Time Traffic Signs Recognition System', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, India, pp. 83-87.
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Qin, H, Li, RH, Wang, G, Qin, L, Cheng, Y & Yuan, Y 2019, 'Mining periodic cliques in temporal networks', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Macao, Macao, pp. 1130-1141.
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Rahim, MS, Anh Nguyen, K, Stewart, RA, Giurco, D & Blumenstein, M 2019, 'Predicting Household Water Consumption Events: Towards a Personalised Recommender System to Encourage Water-conscious Behaviour', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Rajora, S, Kumar Vishwakarma, D, Singh, K & Prasad, M 2018, 'CSgI: A Deep Learning based approach for Marijuana Leaves Strain Classification', 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018, Annual Information Technology, Electronics and Mobile Communication Conference, IEEE, Vancouver, BC, Canada, pp. 209-214.
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Rajora, S, Li, DL, Jha, C, Bharill, N, Patel, OP, Joshi, S, Puthal, D & Prasad, M 2018, 'A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India, India, pp. 1958-1963.
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Saqib, M, Daud Khan, S, Sharma, N, Scully-Power, P, Butcher, P, Colefax, A & Blumenstein, M 2018, 'Real-Time Drone Surveillance and Population Estimation of Marine Animals from Aerial Imagery', International Conference Image and Vision Computing New Zealand, International Conference on Image and Vision Computing New Zealand, IEEE, Auckland, New Zealand.
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Sawhney, R, Shah, RR, Bhatia, V, Lin, CT, Aggarwal, S & Prasad, M 2019, 'Exploring the Impact of Evolutionary Computing based Feature Selection in Suicidal Ideation Detection', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, New Orleans, LA, USA.
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Shah, S & Goyal, M 2019, 'Anomaly Detection in Social Media Using Recurrent Neural Network', Computational Science – ICCS 2019 (LNCS), International Conference on Computational Science, Springer, Faro, Portugal, pp. 74-83.
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Shaoxiong Ji, ZH 2019, 'Learning Private Neural Language Modeling with Attentive Aggregation', The 2019 International Joint Conference on Neural Networks (IJCNN 2019).

Shen, S, Chen, HT & Leong, TW 2019, 'Training transfer of bimanual assembly tasks in cost-differentiated virtual reality systems', 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings, IEEE Conference on Virtual Reality and 3D User Interfaces, IEEE, Osaka, Japan, pp. 1152-1153.
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Shen, T, Long, G, Xiubo, G, Tao, Q, Daya, G, Duyu, T & Daxin, J 2019, 'Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base', The 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, China, pp. 2442-2451.

Shi, Y, Tuan, HD & Savkin, AV 2019, 'Mixed integer nonlinear programming for joint coordination of plug-in electrical vehicles charging and smart grid operations', 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019.
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Shi, Y, Xu, D, Pan, Y, Tsang, IW & Pan, S 2019, 'Label Embedding with Partial Heterogeneous Contexts', THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, Honolulu, HI, pp. 4926-4933.

Siami, M, Naderpour, M & Lu, J 2019, 'A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, New Orleans, LA, USA.
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Singh, A 2019, 'Human brain dynamics during navigation with natural walking under different workload conditions in virtual reality by using the mobile brain/body imaging approach', Society for Neuroscience, Chicago.

Singh, A 2019, 'Investigating the impact of landmarks on spatial learning during active navigation', Society for Neuroscience, Chicago.

Skillicorn, D, Alsadhan, N, Billingsley, R & Williams, MA 2019, 'Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions', ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal, Canadian Conference on Artificial Intelligence, Springer, Kingston, Canada, pp. 29-41.
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Song, Y, Zhang, G, Lu, H & Lu, J 2019, 'A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, New Orleans, LA, USA.
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Sui, Y, Zhang, Y, Zheng, W, Zhang, M & Xue, J 2019, 'Event trace reduction for effective bug replay of Android apps via differential GUI state analysis', ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ACM, Tallinn, Estonia, pp. 1095-1099.
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Sun, K, Chen, T, Qian, T, Chen, Y, Yin, H & Chen, L 2019, 'What can history tell us? Identifying relevant sessions for next-item recommendation', International Conference on Information and Knowledge Management, Proceedings, pp. 1593-1602.
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Tao Shen, JJ & Zhang, C 2019, 'Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together', 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics(NAACL-2019).

Tiwary, M, Sharma, S, Mishra, P, El-Sayed, H, Prasad, M & Puthal, D 2018, 'Building Scalable Mobile Edge Computing by Enhancing Quality of Services', 2018 International Conference on Innovations in Information Technology (IIT), International Conference on Innovations in Information Technology, IEEE, Al Ain, United Arab Emirates, pp. 141-146.
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Vishwa, A & Hussain, FK 2018, 'A Blockchain based approach for multimedia privacy protection and provenance', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India, India, pp. 1941-1945.
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Wang, B, Luo, H, Lu, J, Li, T, Zhang, G, Yan, Z & Zheng, Y 2019, 'Deep uncertainty quantification: A machine learning approach for weather forecasting', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, ACM, Anchorage, USA, pp. 2087-2095.
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Wang, B, Qi, G, Tang, S, Zhang, T, Wei, Y, Li, L & Zhang, Y 2019, 'Boundary perception guidance: A scribble-supervised semantic segmentation approach', Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), International Joint Conference on Artificial Intelligence, IJCAI, Macao, pp. 3663-3669.
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Wang, C, Pan, S, Hu, R, Long, G, Jiang, J & Zhang, C 2019, 'Attributed Graph Clustering: A Deep Attentional Embedding Approach', Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Macao, China, pp. 3670-3676.
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Wang, Q, Jia, W, He, X, Lu, Y, Blumenstein, M, Huang, Y & Lyu, S 2019, 'ReELFA: A Scene Text Recognizer with Encoded Location and Focused Attention', 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), IEEE, Australia.
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Wang, Y, Long, G, Peng, X, Clarke, A, Stevenson, R & Gerrard, L 2019, 'Interactive Deep Metric Learning for Healthcare Cohort Discovery', Data Mining, Australasian Conference on Data Mining, Springer, Adelaide, Australia, pp. 208-221.
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Wen, D, Qin, L, Zhang, Y, Chang, L & Chen, L 2019, 'Enumerating k-Vertex Connected Components in Large Graphs.', 2019 IEEE 35th International Conference on Data Engineering (ICDE), International Conference on Data Engineering, IEEE, Macao, Macao, pp. 52-63.
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Wen, D, Qin, L, Zhang, Y, Chang, L & Chen, L 2019, 'Enumerating k-Vertex Connected Components in Large Graphs.', 2019 IEEE 35th International Conference on Data Engineering (ICDE), International Conference on Data Engineering, IEEE, Macao, Macao, pp. 52-63.
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Wu, A, Han, Y & Yang, Y 2019, 'Video interactive captioning with human prompts', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, Macao, pp. 961-967.
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Wu, A, Zhu, L, Han, Y & Yang, Y 2019, 'Connective Cognition Network for Directional Visual Commonsense Reasoning', Advances in Neural Information Processing Systems, NeurIPS, pp. 5670-5680.

Wu, D, Chen, J, Sharma, N, Pan, S, Long, G & Blumenstein, M 2019, 'Adversarial Action Data Augmentation for Similar Gesture Action Recognition', 2019 International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Wu, D, Hu, R, Zheng, Y, Jiang, J, Sharma, N & Blumenstein, M 2019, 'Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods', The 2019 International Joint Conference on Neural Networks (IJCNN 2019), International Joint Conference on Neural Networks, IEE, Budapest, Hungary.
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Wu, D, Liu, J, Sui, Y, Chen, S & Xue, J 2019, 'Precise Static Happens-Before Analysis for Detecting UAF Order Violations in Android', Proceedings of 12th International Conference on Software Testing, Verification and Validation, IEEE Conference on Software Testing, Validation and Verification, IEEE, Xi'an, China.
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Wu, D, Sharma, N & Blumenstein, M 2018, 'An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition', 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ 2018), International Conference on Image and Vision Computing New Zealand, IEEE, New Zealand, pp. 73-78.
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Wu, D, Sharma, N & Blumenstein, M 2018, 'Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos', 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, Digital Image Computing: Techniques and Applications, IEEE, Canberra, Australia.
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Wu, M, Tsang, I, Pan, S, Zhu, X, Du, L & Du, B 2019, 'Long-short distance aggregation networks for positive unlabeled graph learning', International Conference on Information and Knowledge Management, Proceedings, ACM International Conference on Information and Knowledge Management, ACM, Beijing China, pp. 2157-2160.
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Wu, Z, Pan, S, Long, G, Jiang, J & Zhang, C 2019, 'Graph WaveNet for Deep Spatial-Temporal Graph Modeling', Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Macao, China, pp. 1907-1913.
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Xu, P, Wu, J, Hu, W & Du, B 2019, 'Link prediction with signed latent factors in signed social networks', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, ACM, Anchorage AK USA, pp. 1046-1054.
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Xu, X, Sui, Y, Yan, H & Xue, J 2019, 'VFix: Value-Flow-Guided Precise Program Repair for Null Pointer Dereferences', Proceedings of 41th International Conference on Software Engineering, International Conference on Software Engineering, IEEE, Montreal, QC, Canada,.
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Yan, H, Chen, S, Sui, Y, Zhang, Y, Zou, C & Xue, J 2019, 'Per-Dereference Verification of Temporal Heap Safety via Adaptive Context-Sensitive Analysis', SAS 2019: Static Analysis, International Static Analysis Symposium, Spronger, Porto, Portugal, pp. 48-72.
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Yang, B, Wen, D, Qin, L, Zhang, Y, Chang, L & Li, R-H 2019, 'Index-based Optimal Algorithm for Computing K-Cores in Large Uncertain Graphs', 2019 IEEE 35nd International Conference on Data Engineering (ICDE), 2019 IEEE 35nd International Conference on Data Engineering (ICDE), IEEE, Macau SAR, China, pp. 64-75.
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Yang, H, Pan, S, Chen, L, Zhou, C & Zhang, P 2019, 'Low-bit quantization for attributed network representation learning', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, IJCAI, Macao, pp. 4047-4053.
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Yang, Y, Zhang, W, Zhang, Y, Lin, X & Wang, L 2019, 'Selectivity estimation on set containment search', Database Systems for Advanced Applications (LNCS), International Conference on Database Systems for Advanced Applications, Springer, Chiang Mai, Thailand, pp. 330-349.
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Yang, Y, Zhang, Y, Zhang, W & Huang, Z 2019, 'Gb-KMV: An augmented KMV sketch for approximate containment similarity search', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Macao, Macao, pp. 458-469.
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Yao, J, Wu, H, Zhang, Y, Tsang, WH & Sun, J 2019, 'Safeguarded Dynamic Label Regression for Noisy Supervision', Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu, Hawaii USA, pp. 9103-9110.
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Yin, Q, Niu, K, Li, N, Peng, X & Pan, Y 2019, 'ACO-RR: Ant Colony Optimization Ridge Regression in Reuse of Smart City System', Reuse in the Big Data Era. ICSR 2019. Lecture Notes in Computer Science, The 18th International Conference on Software and Systems Reuse, Springer, Cham, Cincinnati, OH, United States, pp. 204-219.
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Yin, R, Li, K, Lu, J & Zhang, G 2019, 'RsyGAN: Generative Adversarial Network for Recommender Systems', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Yin, R, Lu, J, Li, K & Zhang, G 2019, 'Enhancing fashion recommendation with visual compatibility relationship', The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, World Wide Web Conference, ACM, San Francisco CA USA, pp. 3434-3440.
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Yu, H, Lu, J, Xu, J & Zhang, G 2019, 'A Hybrid Incremental Regression Neural Network for Uncertain Data Streams', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Yu, X, Han, B, Yao, J, Niu, G, Tsang, I & Sugiyama, M 2019, 'How does Disagreement Help Generalization Against Label Corruption', International Conference on Machine Learning, Curran, Long Beach Convention Center, Long Beach, pp. 12407-12417.

Yuan, L, Qin, L, Zhang, W, Chang, L & Yang, J 2019, 'Index-Based Densest Clique Percolation Community Search in Networks (Extended Abstract).', 2019 IEEE 35th International Conference on Data Engineering (ICDE), IEEE 35th International Conference on Data Engineering, IEEE, Macao, Macao, pp. 2161-2162.
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Yuan, Y, Lyu, Y, Shen, X, Tsang, IW & Yeung, DY 2019, 'Marginalized average attentional network for weakly-supervised learning', 7th International Conference on Learning Representations, ICLR 2019, International Conference on Learning Representations, OpenReview, New Orleans, Louisiana, United States, pp. 1-19.
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Zhang, C, Qin, L, Zhang, W, Zhang, F, Zhang, Y & Lin, X 2019, 'Selecting the optimal groups: Efficiently computing skyline k-cliques', International Conference on Information and Knowledge Management, Proceedings, pp. 1211-1220.
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Zhang, C, Zhang, Y, Zhang, W, Qin, L & Yang, J 2019, 'Efficient maximal spatial clique enumeration', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Macao, Macao, pp. 878-889.
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Zhang, D, Yao, L, Chen, K, Long, G & Wang, S 2019, 'Collective protection: Preventing sensitive inferences via integrative transformation', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Beijing, China, pp. 1498-1503.
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Zhang, H, Zhou, P, Yang, Y & Feng, J 2019, 'Generalized majorization-minimization for non-convex optimization', Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Macao, pp. 4257-4263.
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Zhang, M, Gao, Y, Sun, C & Blumenstein, M 2019, 'Kernel Mean P Power Error Loss for Robust Two-Dimensional Singular Value Decomposition', Proceedings - International Conference on Image Processing, ICIP, IEEE International Conference on Image Processing, IEEe, Taipei, Taiwan, pp. 3432-3436.
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Zhang, M, Gao, Y, Sun, C & Blumenstein, M 2019, 'Robust Sparse Learning Based on Kernel Non-Second Order Minimization', Proceedings - International Conference on Image Processing, ICIP, IEEE International Conference on Image Processing, IEEE, Taipei, Taiwan, pp. 2045-2049.
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Zhang, Q, Hao, P, Lu, J & Zhang, G 2019, 'Cross-domain Recommendation with Semantic Correlation in Tagging Systems', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Zhang, W, Zhang, F, Zhang, Y & Qin, L 2019, 'Cohesive subgraphs with hierarchical decomposition on big graphs', Database Systems for Advanced Applications DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA Chiang Mai, Thailand, April 22–25, 2019 Proceedings, International Conference on Database Systems for Advanced Applications, Springer, Thailand, pp. 587-589.
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Zhang, X, Zhang, X, Verma, S, Liu, Y, Blumenstein, M & Li, J 2019, 'Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data', PRICAI 2019: Trends in Artificial Intelligence, The 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Fiji.

Zhang, Y, Qin, L, Zhang, F & Zhang, W 2019, 'Hierarchical decomposition of big graphs', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Macao, Macao, pp. 2064-2067.
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Zhang, Y, Zhu, Y, Huang, L, Zhang, G & Lu, J 2019, 'Characterizing the potential of being emerging generic technologies: A Bi-Layer Network Analytics-based Prediction Method', 17th International Conference on Scientometrics and Informetrics, ISSI 2019 - Proceedings, International Conference on Scientometrics & Informetrics, Edizioni Efesto, Rome, Italy, pp. 1436-1447.
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Zheng, H, Yao, J, Zhang, Y, Tsang, WH & Wang, J 2019, 'Understanding VAEs in Fisher-Shannon Plane', Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 33rd AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI Press, Honolulu, Hawaii USA, pp. 5917-5924.
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Zheng, M, Zhou, C, Wu, J & Guo, L 2019, 'Smooth Deep Network Embedding', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Zheng, T, Chen, WJ, Tsang, I & Yao, X 2019, 'Rectified Encoder Network for High-Dimensional Imbalanced Learning', PRICAI 2019: Trends in Artificial Intelligence, Pacific Rim International Conference on Artificial Intelligence, Springer, Cuvu, Yanuca Island, Fiji, pp. 684-697.
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Zheng, Z, Yang, X, Yu, Z, Zheng, L, Yang, Y & Kautz, J 2019, 'Joint discriminative and generative learning for person re-identification', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2133-2142.
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Zhu, M, Pan, P, Chen, W & Yang, Y 2019, 'DM-GAN: Dynamic memory generative adversarial networks for text-to-image synthesis', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 5795-5803.
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Zuo, H, Zhang, G, Pedrycz, W & Lu, J 2019, 'Domain Selection of Transfer Learning in Fuzzy Prediction Models', IEEE International Conference on Fuzzy Systems.
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Other

Xu, X, Tsang, IW, Cao, X, Zhang, R & Liu, C 2019, 'Learning image-specific attributes by hyperbolic neighborhood graph propagation'.
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