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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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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.

Aravanis, T, Peppas, P & Williams, MA 2019, 'An investigation of parametrized difference revision operators', Annals of Mathematics and Artificial Intelligence.
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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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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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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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Dimuro, GP, Lucca, G, Bedregal, B, Mesiar, R, Sanz, JA, Lin, CT & Bustince, H 2019, 'Generalized C F 1 F 2 -integrals: From Choquet-like aggregation to ordered directionally monotone functions', Fuzzy Sets and Systems.
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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, 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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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, 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, 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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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, Lian, X & Guo, Y 2019, 'An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)', Technological Forecasting and Social Change.
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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, 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, pp. 1-28.
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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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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, 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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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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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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Naderpour, M, Rizeei, HM, Khakzad, N & Pradhan, B 2019, 'Forest fire induced Natech risk assessment: A survey of geospatial technologies', Reliability Engineering & System Safety, vol. 191, pp. 106558-106558.
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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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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.

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, pp. 1-14.
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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, 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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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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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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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.
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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.
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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, Zhang, N & Lu, H 2019, 'A novel system based on neural networks with linear combination framework for wind speed forecasting', Energy Conversion and Management, pp. 425-442.
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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, pp. 1-12.
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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.
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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, 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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Xiao, G, Zheng, Z, Jiang, B & Sui, Y 2019, 'An Empirical Study of Regression Bug Chains in Linux', IEEE Transactions on Reliability.

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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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.
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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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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, 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, 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.
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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, 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.
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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.
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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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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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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

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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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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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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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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Dasgupta, A, Gill, A & Hussain, F 2019, 'Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems', 8th International Conference on Data Science, Technology and Applications, Prague, Czech Republic.

Di Wu, MB 2019, 'Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods', The 2019 International Joint Conference on Neural Networks (IJCNN 2019).

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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Gudi, SLKC, Ojha, S, Sidra, Johnston, B & Williams, MA 2019, 'A proactive robot tutor based on emotional intelligence', Advances in Intelligent Systems and Computing, 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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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.

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, Co-located with POPL 2019, 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', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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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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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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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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 (IJCNN), Budapest, Hungary.
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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 2019, '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, pp. 83-87.
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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', Lecture Notes in Computer Science, 19th International Conference on Computational Science, Faro, Portugal, pp. 74-83.

Shaoxiong Ji, ZH 2019, 'Learning Private Neural Language Modeling with Attentive Aggregation', The 2019 International Joint Conference on Neural Networks (IJCNN 2019).

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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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', PROCEEDINGS OF THE 2018 13TH 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, 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.

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, 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.

Wu, D, Sharma, N & Blumenstein, M 2019, 'An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition', International Conference Image and Vision Computing New Zealand.
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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, 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, 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.

Xueping Peng, ZN 2019, 'Attentive Dual Embedding for Understanding Medical Concept in Electronic Health Record', The 2019 International Joint Conference on Neural Networks (IJCNN 2019).

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, 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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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, W, Zhang, F, Zhang, Y & Qin, L 2019, 'Cohesive subgraphs with hierarchical decomposition on big graphs', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 587-589.
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