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Publications

Chapters

Alshehri, M & Hussain, F 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.
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Dasgupta, A, Gill, A & Hussain, F 2019, 'Privacy of IoT-Enabled Smart Home Systems' in IoT and Smart Home Automation, IntechOpen.
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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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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.
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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, 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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Alshehri, MD & Hussain, FK 2019, 'A fuzzy security protocol for trust management in the internet of things (Fuzzy-IoT)', Computing.
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Anaissi, A & Goyal, M 2019, 'Blending Association Rules for Knowledge Discovery in Big Data', Enabling Technologies and Architectures for Next-Generation Networking Capabilities, pp. 254-271.
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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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Awan, I, Younas, M & Hussain, F 2019, 'Emerging challenges and frontiers in cloud computing', Concurrency Computation.
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Azadi, M, Emrouznejad, A, Ramezani, F & Hussain, FK 2019, 'Efficiency measurement of cloud service providers using network data envelopment analysis', IEEE Transactions on Cloud Computing.
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Bharill, N, Patel, OP, Tiwari, A, Mu, L, Li, DL, 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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Bharill, N, Tiwari, A, Malviya, A, Patel, OP, Gupta, A, Puthal, D, Saxena, A & Prasad, M 2019, 'Fuzzy knowledge based performance analysis on big data', Neurocomputing.
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Bledsoe, MJ, 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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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, pp. 56-56.
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Cai, Y, Pan, S, Wang, X, Chen, H, Cai, X & Zuo, M 2019, 'Measuring distance-based semantic similarity using meronymy and hyponymy relations', Neural Computing and Applications.
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Cao, Z, Chuang, CH, King, JK & Lin, CT 2019, 'Multi-channel EEG recordings during a sustained-attention driving task', Scientific data, vol. 6, no. 1, p. 19.
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Cao, Z, Ding, W, Wang, YK, Hussain, FK, Al-Jumaily, A & Lin, CT 2019, 'Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy', Neurocomputing.
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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.
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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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Chai, J, Tsang, IW & Chen, W 2019, 'Large Margin Partial Label Machine', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15.
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Chen, B, Zhong, C-H, Zhao, X, Ma, H, Qin, L & Liao, W-H 2019, 'Reference Joint Trajectories Generation of CUHK-EXO Exoskeleton for System Balance in Walking Assistance', IEEE ACCESS, vol. 7, pp. 33809-33821.
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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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Cheuk, KY, Hu, Y, Tam, EMS, Shi, L, Yu, FWP, Hung, VWY, Lai, KCY, Cheng, WHW, Yip, BHK, Qin, L, Ng, BKW, Chu, WCW, Griffith, J, Guo, XE, Cheng, JCY & Lam, TP 2019, 'Bone measurements at multiple skeletal sites in adolescent idiopathic scoliosisan in vivo correlation study using DXA, HR-pQCT and QCT', ARCHIVES OF OSTEOPOROSIS, vol. 14, no. 1.
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Chow, DH, Zheng, L, Tian, L, Ho, K-S, Qin, L & Guo, X 2019, 'Application of ultrasound accelerates the decalcification process of bone matrix without affecting histological and immunohistochemical analysis', JOURNAL OF ORTHOPAEDIC TRANSLATION, vol. 17, pp. 112-120.
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Cui, L, Wu, J, Pi, D, Zhang, P & Kennedy, P 2019, 'Dual Implicit Mining-Based Latent Friend Recommendation', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Curiskis, SA, Drake, B, Osborn, TR & Kennedy, PJ 2019, 'An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit', Information Processing and Management.
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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, IW-H, 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.
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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.
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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.
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Ding, W, Lin, C-T & Pedrycz, W 2019, 'Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce.', IEEE Transactions on Cybernetics.
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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, IW 2019, 'Late Fusion via Subspace Search With Consistency Preservation', IEEE TRANSACTIONS ON IMAGE PROCESSING, 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.
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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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Du, X, Yin, H, Chen, L, Wang, Y, Yang, Y & Zhou, X 2019, 'Personalized Video Recommendation Using Rich Contents from Videos', IEEE Transactions on Knowledge and Data Engineering.
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Fang, Y, Huang, X, Qin, L, Zhang, Y, Zhang, W, Cheng, R & Lin, X 2019, 'Correction: A survey of community search over big graphs (The VLDB Journal, (2019), 10.1007/s00778-019-00556-x)', VLDB Journal.
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Feng, Q, Xu, J, Zhang, K, Yao, H, Zheng, N, Zheng, L, Wang, J, Wei, K, Xiao, X, Qin, L & Bian, L 2019, 'Dynamic and Cell-Infiltratable Hydrogels as Injectable Carrier of Therapeutic Cells and Drugs for Treating Challenging Bone Defects', ACS CENTRAL SCIENCE, vol. 5, no. 3, pp. 440-450.
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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.
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Gupta, A, Agrawal, RK, Kirar, JS, Andreu-Perez, J, Ding, W-P, Lin, C-T & Prasad, M 2019, 'On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI', IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1-13.
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Gupta, A, Agrawal, RK, Kirar, JS, Kaur, B, Ding, W, Lin, CT, Javier, AP & Prasad, M 2019, 'A hierarchical meta-model for multi-class mental task based brain-computer interfaces', Neurocomputing.
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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.
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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.
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Han, Y, Deng, Y, Cao, Z & Lin, CT 2019, 'An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making', Neural Computing and Applications.
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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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He, X, Li, Y & Zheng, M 2019, 'Heterogeneous Agent Models in Financial Markets: A Nonlinear Dynamics Approach', International Review of Financial Analysis, vol. 62, pp. 135-149.
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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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Huang, KC, Chuang, CH, Wang, YK, Hsieh, CY, King, JT & Lin, CT 2019, 'The effects of different fatigue levels on brain–behavior relationships in driving', Brain and Behavior.
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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', 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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Islam, MR, Lu, H, Hossain, MJ & 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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Jay, B 2019, 'Intensional computation with higher-order functions', Theoretical Computer Science, vol. 768, pp. 76-90.
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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: X, pp. 100003-100003.

Jiang, P, Li, R, Lu, H & Zhang, X 2019, 'Modeling of electricity demand forecast for power system', Neural Computing and Applications.
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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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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, 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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King, JT, Prasad, M, Tsai, T, Ming, YR & Lin, CT 2019, 'Influence of Time Pressure on Inhibitory Brain Control During Emergency Driving', IEEE Transactions on Systems Man and Cybernetics: Systems.
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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, Y, Li, Y, Cao, H, Long, J, Wang, X, Li, L, Li, C, Jia, Q, Teng, B, Tang, T, Peng, J, Eglin, D, Alini, M, Grijpma, DW, Richards, G & Qin, L 2019, 'Osteogenic magnesium incorporated into PLGA/TCP porous scaffold by 3D printing for repairing challenging bone defect', BIOMATERIALS, vol. 197, pp. 207-219.
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Li, G & Yan, Z 2019, 'Reconstruction of sparse signals via neurodynamic optimization', International Journal of Machine Learning and Cybernetics.
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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, S, Qiu, J, Qin, L, Peng, P, Li, C, Mao, J, Fang, G, Chen, Z, Lin, S, Fu, Y, Cai, W & Ding, Y 2019, 'NOD2 negatively regulated titanium particle-induced osteolysis in mice', BIOMATERIALS SCIENCE, vol. 7, no. 7, pp. 2702-2715.
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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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Li, X, Guo, W, Zha, K, Jing, X, Wang, M, Zhang, Y, Hao, C, Gao, S, Chen, M, Yuan, Z, Wang, Z, Zhang, X, Shen, S, Li, H, Zhang, B, Xian, H, Zhang, Y, Sui, X, Qin, L, Peng, J, Liu, S, Lu, S & Guo, Q 2019, 'Enrichment of CD146(+) Adipose-Derived Stem Cells in Combination with Articular Cartilage Extracellular Matrix Scaffold Promotes Cartilage Regeneration', THERANOSTICS, vol. 9, no. 17, pp. 5105-5121.
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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, 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.
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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, King, J-T, Chuang, C-H, Ding, W, Chuang, W-Y, Liao, L-D & Wang, Y-K 2019, 'Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements.', International journal of neural systems, p. 1950018.
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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.
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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, Gong, D, Tan, M, Shi, Q, Yang, Y & Hauptmann, AG 2019, 'Learning Distilled Graph for Large-scale Social Network Data Clustering', IEEE Transactions on Knowledge and Data Engineering.
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Liu, W, Shen, X, Du, B, Tsang, IW, 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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Liu, Y, Lan, C, Blumenstein, M & Li, J 2019, 'Bi-level error correction for PacBio long reads', IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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Liu, Z, Xiao, F, Lin, C-T, Kang, BH & Cao, Z 2019, 'A Generalized Golden Rule Representative Value for Multiple-Criteria Decision Analysis', IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1-12.
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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.
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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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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.
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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, pp. 1-25.
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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, pp. 1-1.
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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', arXiv preprint arXiv:1901.01250.

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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Pang, Q, Xu, Y, Qi, X, Jiang, Y, Wang, O, Li, M, Xing, X, Qin, L & Xia, W 2019, 'The first case of primary hypertrophic osteoarthropathy with soft tissue giant tumors caused by HPGD loss-of-function mutation', ENDOCRINE CONNECTIONS, vol. 8, no. 6, pp. 736-744.
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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, 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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Prokopenko, M, Harré, M, Lizier, J, Boschetti, F, Peppas, P & Kauffman, S 2019, 'Self-referential basis of undecidable dynamics: From the Liar paradox and the halting problem to the edge of chaos', Physics of Life Reviews.
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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-BASEL, 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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Qu, Z, Lau, CW, Nguyen, QV, Zhou, Y & Catchpoole, DR 2019, 'Visual Analytics of Genomic and Cancer Data: A Systematic Review', Cancer Informatics, vol. 18.
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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, Y-K & Lin, C-T 2019, 'Multiclass Fuzzy Time-Delay Common Spatio-Spectral Patterns With Fuzzy Information Theoretic Optimization for EEG-Based Regression Problems in BrainComputer 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, TT, Ra, YS, Kim, SK, 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, XN, 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.e7.
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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, vol. 94, pp. 749-764.
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Tien-Thong, ND, 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, vol. 27, no. 6, pp. 1160-1169.
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Tong, W, Zeng, Y, Chow, DHK, Yeung, W, Xu, J, Deng, Y, Chen, S, Zhao, H, Zhang, X, Ho, KK, Qin, L & Mak, KK-L 2019, 'Wnt16 attenuates osteoarthritis progression through a PCP/JNK-mTORC1-PTHrP cascade', ANNALS OF THE RHEUMATIC DISEASES, vol. 78, no. 4, pp. 551-561.
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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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Vo, NNY, He, X, Liu, S & Xu, G 2019, 'Deep learning for decision making and the optimization of socially responsible investments and portfolio', Decision Support Systems, vol. 124.
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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, C, Yi, Z, Sheng, Y, Tian, L, Qin, L, Ngai, T & Lin, W 2019, 'Development of a novel biodegradable and anti-bacterial polyurethane coating for biomedical magnesium rods', MATERIALS SCIENCE & ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS, vol. 99, pp. 344-356.
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Wang, G, Lu, J, Choi, KS & Zhang, G 2019, 'A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data', IEEE Transactions on Cybernetics.
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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, Wu, J, Zhang, P & Chen, Y 2019, 'Learning Shapelet Patterns from Network-based Time Series Data', IEEE Transactions on Industrial Informatics.
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Wang, H, Wu, J, Zhu, X, Chen, Y & Zhang, C 2019, 'Time-Variant Graph Classification', IEEE Transactions on Systems Man and Cybernetics: Systems.
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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, Li, H, Lu, H, Yang, H & Wang, C 2019, 'Integrating offline logistics and online system to recycle e-bicycle battery in China', Journal of Cleaner Production.
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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, L, Yu, Z, Xiong, F, Yang, D, Pan, S & Yan, Z 2019, 'Influence Spread in Geo-Social Networks: A Multiobjective Optimization Perspective.', IEEE transactions on cybernetics.
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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.
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Wen, D, Qin, L, Zhang, Y, Chang, L & Chen, L 2019, 'Enumerating k-vertex connected components in large graphs', Proceedings - International Conference on Data Engineering, vol. 2019-April, pp. 52-63.
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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, 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.
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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.
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Wu, Y, Ye, Z & Fang, Y 2019, 'Spatial analysis of the effects of PM2.5 on hypertension among the middle-aged and elderly people in China', INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH.
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Xiao, G, Zheng, Z, Jiang, B & Sui, Y 2019, 'An Empirical Study of Regression Bug Chains in Linux', IEEE Transactions on Reliability.

Xiong, F, Shen, W, Chen, H, Pan, S, Wang, X & Yan, Z 2019, 'Exploiting Implicit Influence From Information Propagation for Social Recommendation.', IEEE transactions on cybernetics.
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Xiong, F, Wang, X, Pan, S, Yang, H, Wang, H & Zhang, C 2019, 'Social Recommendation With Evolutionary Opinion Dynamics', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Xu, D, Shi, Y, Tsang, IW, Ong, Y-S, Gong, C & Shen, X 2019, 'Survey on Multi-Output Learning', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-21.
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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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Xue, S, Lu, J & Zhang, G 2019, 'Cross-domain network representations', PATTERN RECOGNITION, vol. 94, pp. 135-148.
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Yan, Y, Tan, M, Tsang, I, Yang, Y, Shi, Q & Zhang, C 2019, 'Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis and Case Study', IEEE Transactions on Knowledge and Data Engineering.
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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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Yao, J, Wang, J, Tsang, IW, 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.
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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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Yu, H, Lu, J & Zhang, G 2019, 'Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-15.
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Yue, J, Lau, TCK, Griffith, JF, Xu, J, Xiao, F, Shi, L, Wang, D, Wong, PCH, Li, EK, Tam, LP, Li, M, Li, TK, Mak, WY, Hung, V, Qin, L & Tam, L-S 2019, 'Circulating miR-99b-5p as a novel predictor of erosion progression on high-resolution peripheral quantitative computed tomography in early rheumatoid arthritis: A prospective cohort study', INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, vol. 22, no. 9, pp. 1724-1733.
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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.
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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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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, Li, C, Zhang, Y, Qin, L & Zhang, W 2019, 'Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems', IEEE Transactions on Knowledge and Data Engineering.
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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, 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.
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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.
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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, Sui, Y, Pan, S, Zheng, Z, Ning, B, Tsang, I & Zhou, W 2019, 'Familial Clustering For Weakly-labeled Android Malware Using Hybrid Representation Learning', IEEE Transactions on Information Forensics and Security.
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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, Y, Hu, R, Fung, S-F, Yu, C, Long, G, Guo, T & Pan, S 2019, 'Clustering Social Audiences in Business Information Networks', Pattern Recognition, pp. 107126-107126.
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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.
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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, 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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Zhu, F, Lu, J, Lin, A & Zhang, G 2019, 'A Pareto-smoothing method for causal inference using generalized Pareto distribution', Neurocomputing.
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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

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', International Conference on Robotics and Automation, Canada.
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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, pp. 1509-1515.
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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, 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.
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Borah, P, Gupta, D & Prasad, M 2019, 'Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, 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, pp. 34-41.
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CHEN, F, Pan, S, Jiang, J, Huo, H & Long, G 2019, 'DAGCN: Dual Attention Graph Convolutional Networks', The 2019 International Joint Conference on Neural Networks (IJCNN), 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, 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, 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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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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Dasgupta, A, Gill, A & Hussain, F 2019, 'A Review of General Data Protection Regulation for Supply Chain Ecosystem', https://link.springer.com/chapter/10.1007/978-3-030-22263-5_44, International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, Springer, Cham, Sydney, Australia.
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Di Wu, MB 2019, 'Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods', The 2019 International Joint Conference on Neural Networks (IJCNN 2019).

Fang, Y, Huang, X, Qin, L, Zhang, Y, Zhang, W, Cheng, R & Lin, X 2019, 'A survey of community search over big graphs', VLDB Journal.
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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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Fengwen Chen, GL 2019, 'DAGCN: Dual Attention Graph Convolutional Networks', The 2019 International Joint Conference on Neural Networks (IJCNN 2019).

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 2018, Palermo, Italy.
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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, U, Gupta, D & Prasad, M 2019, 'Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, 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', CVPR.
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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, pp. 1015-1019.
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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.
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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', 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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Islam, MR, Lu, HY, 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', Congress on evolutionary computation, IEEE, Wellington, New Zealand, pp. 835-842.
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Jay, B 2019, 'A simpler lambda calculus', PEPM 2019 - Proceedings of the 2019 ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, ACM, Portugal, pp. 1-9.
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Ji, S, Long, G, Pan, S, Zhu, T, Jiang, J & Wang, S 2019, 'Detecting Suicidal Ideation with Data Protection in Online Communities', DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, 24th Int Conference on Database Systems for Advanced Applications / 6th Int Workshop on Big Data Management and Service / 4th Int Workshop on Big Data Quality Management / 3rd Int Workshop on Graph Data Management and Analysis, SPRINGER INTERNATIONAL PUBLISHING AG, 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', The 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary.
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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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Li, W, Zhang, Y, Qiao, M, Chang, L, Qin, L & Lin, X 2019, 'Scaling distance labeling on small-world networks', Proceedings of the ACM SIGMOD International Conference on Management of Data, 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', Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19, the 28th ACM International Conference, ACM Press.
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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.
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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.
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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.
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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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Madhisetty, S & Williams, MA 2019, 'Managing privacy through key performance indicators when photos and videos are shared via social media', Advances in Intelligent Systems and Computing, pp. 1103-1117.
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Madhisetty, S & Williams, MA 2019, 'The role of trust and control in managing privacy when photos and videos are stored or shared', Advances in Intelligent Systems and Computing, 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, 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.
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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.
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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, pp. 923-935.
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Ojha, S, Gudi, SLKC, Vitale, J, Williams, MA & Johnston, B 2019, 'I remember what you did: A behavioural guide-robot', Advances in Intelligent Systems and Computing, pp. 273-282.
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Peng, X, Long, G, Pan, S, Jiang, J & Niu, Z 2019, 'Attentive Dual Embedding for Understanding Medical Concept in Electronic Health Record', The 2019 International Joint Conference on Neural Networks, Budapest, Hungary.
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Peng, X, Long, G, Pan, S, Jiang, J & Niu, Z 2019, 'Attentive Dual Embedding for Understanding Medical Concept in Electronic Health Record', The 2019 International Joint Conference on Neural Networks (IJCNN 2019), Budapest, Hungary.

Peng, X, Long, G, Shen, T, Wang, S, Jiang, J & Blumenstein, M 2019, 'Temporal Self-Attention Network for Medical Concept Embedding', 19th IEEE International Conference on Data Mining (ICDM), International Conference on Data Mining, Beijing, China.
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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, pp. 2193-2199.
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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, pp. 1130-1141.
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Rajora, S, Kumar Vishwakarma, D, Singh, K & Prasad, M 2019, 'CSgI: A Deep Learning based approach for Marijuana Leaves Strain Classification', 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018, 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 2019, 'Real-Time Drone Surveillance and Population Estimation of Marine Animals from Aerial Imagery', International Conference Image and Vision Computing New Zealand.
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Shah, S & Goyal, M 2019, 'Anomaly Detection in Social Media Using Recurrent Neural Network', Computational Science – ICCS 2019 19th International Conference Faro, Portugal, June 12–14, 2019 Proceedings, Part IV, 19th 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, pp. 1152-1153.
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Shen, T, Zhou, T, Long, G, Jiang, J & Zhang, C 2019, 'Tensorized Self-Attention: Efficiently Modeling Pairwise and Global Dependencies Together', (NAACL) Annual Conference of the North American Chapter of the Association for Computational Linguisticss, Minneapolis, USA.
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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.
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Skillicorn, D, Alsadhan, N, Billingsley, R & Williams, MA 2019, 'Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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.
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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, pp. 1095-1099.
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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, pp. 2087-2095.
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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', The 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China.

Wang, Y, Long, G, Peng, X, Clarke, A, Stevenson, R & Gerrard, L 2019, 'Interactive Deep Metric Learning for Healthcare Cohort Discovery', Le T. et al. (eds) Data Mining. AusDM 2019. Communications in Computer and Information Science, Adelaide, Australia.
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Wu, D, Chen, J, Sharma, N, Pan, S, Long, G & Blumenstein, M 2019, 'Adversarial Action Data Augmentation for Similar Gesture Action Recognition', The 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary.

Wu, D, Griffith, JF, Lam, SHM, Wong, PC, Shi, L, Li, EK, Cheng, IT, Tena, KL, Hung, VW, Qin, L & Tam, L-S 2019, 'EFFECT OF ACHIEVING DAPSA-LDA ON THE PROGRESSION OF BONE EROSION AND ENTHESIOPHYTES IN PATIENTS WITH PSORIATIC ARTHRITIS: A LONGITUDINAL HR-PQCT STUDY', ANNALS OF THE RHEUMATIC DISEASES, Annual European Congress of Rheumatology (EULAR), BMJ PUBLISHING GROUP, Madrid, SPAIN, pp. 1263-1263.
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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.
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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 2019, 'Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos', 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018.
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Wu, M, Pan, S, Du, L, Tsang, I, Zhu, X & Du, B 2019, 'Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning', Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19, the 28th ACM International Conference, ACM Press.
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Wu, Z, Pan, S, Long, G, Jiang, J & Zhang, C 2019, 'Graph WaveNet for Deep Spatial-Temporal Graph Modeling', The 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, China.

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, 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.

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', Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}, International Joint Conferences on Artificial Intelligence Organization.
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Yang, Y, Zhang, W, Zhang, Y, Lin, X & Wang, L 2019, 'Selectivity estimation on set containment search', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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, pp. 458-469.
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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.
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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, 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.
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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.
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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, pp. 878-889.
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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.
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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, Y, Qin, L, Zhang, F & Zhang, W 2019, 'Hierarchical decomposition of big graphs', Proceedings - International Conference on Data Engineering, 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, pp. 1436-1447.
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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.
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Zuo, H, Zhang, G & Lu, J 2019, 'Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models', Advances in Intelligent Systems and Computing, pp. 752-763.
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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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