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Publications

Chapters

Ramezani, F, Naderpour, M, Taheri, J, Romanous, J & Zomaya, AY 2020, 'Task Scheduling in Cloud Environments: A Survey on Population-based Evolutionary Algorithms' in Gandomi, AH, Emrouznejad, A, Jamshidi, MM, Deb, K & Rahimi, I (eds), Evolutionary Computation in Scheduling, John Wiley & Sons.
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Journal articles

Adak, C, Chaudhuri, BB, Lin, CT & Blumenstein, M 2020, 'Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis', IEEE Transactions on Information Forensics and Security.
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Al-Hadhrami, Y & Hussain, FK 2020, 'Real time dataset generation framework for intrusion detection systems in IoT', Future Generation Computer Systems, vol. 108, pp. 414-423.
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Anshar, M & Williams, M-A 2020, 'Simplified Pain Matrix Method for Artificial Pain Activation Embedded into Robot Framework', INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS.
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Awan, I, Younas, M & Hussain, F 2020, 'Emerging challenges and frontiers in cloud computing', Concurrency Computation, vol. 32, no. 1.
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Azadi, M, Emrouznejad, A, Ramezani, F & Hussain, FK 2020, 'Efficiency measurement of cloud service providers using network data envelopment analysis', IEEE Transactions on Cloud Computing.
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Bharill, N, Tiwari, A, Malviya, A, Patel, OP, Gupta, A, Puthal, D, Saxena, A & Prasad, M 2020, 'Fuzzy knowledge based performance analysis on big data', NEUROCOMPUTING, vol. 389, pp. 218-228.
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C. A. Tirado Cortes, H. Chen, D. Sturnieks, J. Garcia Marin, S. Lord & C. Lin 2020, 'Evaluating Balance Recovery Techniques for Users Wearing Head-Mounted Display in VR', IEEE Transactions on Visualization and Computer Graphics, pp. 1-1.
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Cai, Y, Pan, S, Wang, X, Chen, H, Cai, X & Zuo, M 2020, 'Measuring distance-based semantic similarity using meronymy and hyponymy relations', Neural Computing and Applications.
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Cao, Y, Cao, Y, Guo, Z, Huang, T & Wen, S 2020, 'Global exponential synchronization of delayed memristive neural networks with reaction–diffusion terms', Neural Networks, vol. 123, pp. 70-81.
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Cao, Z, Ding, W, Wang, YK, Hussain, FK, Al-Jumaily, A & Lin, CT 2020, 'Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy', Neurocomputing, vol. 389, pp. 198-206.
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Cao, Z, Lin, C-T, Lai, K-L, Ko, L-W, King, J-T, Liao, K-K, Fuh, J-L & Wang, S-J 2020, 'Extraction of SSVEPs-Based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients', IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 28, no. 1, pp. 14-27.
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Cetindamar Kozanoglu, D, Lammers, T & Zhang, Y 2020, 'Exploring the Knowledge Spillovers of a Technology in an Entrepreneurial Ecosystem – The Case of Artificial Intelligence in Sydney', Thunderbird International Business Review, pp. 1-38.
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Cetindamar Kozanoglu, D, Lammers, T, Kocaoglu, D & Zhang, Y 2020, 'The Anniversary Tribute of PICMET: 1989-2018', IEEE Transactions on Engineering Management, pp. 1-15.
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Chai, J, Tsang, IW & Chen, W 2020, 'Large Margin Partial Label Machine.', IEEE transactions on neural networks and learning systems.
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Chen, H, Fang, Y, Zhang, Y, Zhang, W & Wang, L 2020, 'ESPM: Efficient Spatial Pattern Matching', IEEE Transactions on Knowledge and Data Engineering, vol. 32, no. 6, pp. 1227-1233.
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Chen, W, Long, G, Yao, L & Sheng, QZ 2020, 'AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction', World Wide Web.
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Cheng, EJ, Prasad, M, Yang, J, Khanna, P, Chen, BH, Tao, X, Young, KY & Lin, CT 2020, 'A fast fused part-based model with new deep feature for pedestrian detection and security monitoring', Measurement: Journal of the International Measurement Confederation, vol. 151.
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Cui, L, Wu, J, Pi, D, Zhang, P & Kennedy, P 2020, '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 2020, 'An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit', Information Processing and Management, vol. 57, no. 2.
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Dimuro, GP, Lucca, G, Bedregal, B, Mesiar, R, Sanz, JA, Lin, CT & Bustince, H 2020, 'Generalized CF1F2-integrals: From Choquet-like aggregation to ordered directionally monotone functions', Fuzzy Sets and Systems, vol. 378, pp. 44-67.
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Ding, W, Lin, C-T & Pedrycz, W 2020, 'Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce.', IEEE Transactions on Cybernetics.
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Ding, W, Lin, CT, Liew, AWC, Triguero, I & Luo, W 2020, 'Current trends of granular data mining for biomedical data analysis', Information Sciences, vol. 510, pp. 341-343.
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Ding, Y, Fan, H, Xu, M & Yang, Y 2020, 'Adaptive Exploration for Unsupervised Person Re-identification', ACM Transactions on Multimedia Computing, Communications and Applications, vol. 16, no. 1.
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Dong, W, Li, W, Luo, Z, Long, G, Vessalas, K & Sheng, D 2020, 'Structural response monitoring of concrete beam under flexural loading using smart carbon black/cement-based sensors', SMART MATERIALS AND STRUCTURES, vol. 29, no. 6.
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Du, X, Lu, Z & Wu, D 2020, 'An intelligent recognition model for dynamic air traffic decision-making', Knowledge-Based Systems, vol. 199.
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Du, X, Yin, H, Chen, L, Wang, Y, Yang, Y & Zhou, X 2020, '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 2020, 'A survey of community search over big graphs', The VLDB Journal, vol. 29, no. 1, pp. 353-392.
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Fang, Y, Huang, X, Qin, L, Zhang, Y, Zhang, W, Cheng, R & Lin, X 2020, 'A survey of community search over big graphs.', VLDB J., vol. 29, pp. 353-392.

Fang, Y, Huang, X, Qin, L, Zhang, Y, Zhang, W, Cheng, R & Lin, X 2020, '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, Wu, Y, Fan, H, Yan, C, Xu, M & Yang, Y 2020, 'Cascaded Revision Network for Novel Object Captioning', IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-1.
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Guan, Q, Huang, Y, Zhong, Z, Zheng, Z, Zheng, L & Yang, Y 2020, 'Thorax disease classification with attention guided convolutional neural network', Pattern Recognition Letters, vol. 131, pp. 38-45.
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Gupta, A, Agrawal, RK, Kirar, JS, Andreu-Perez, J, Ding, W-P, Lin, C-T & Prasad, M 2020, '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, Andreu-Perez, J & Prasad, M 2020, 'A hierarchical meta-model for multi-class mental task based brain-computer interfaces', Neurocomputing, vol. 389, pp. 207-217.
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Han, Y, Deng, Y, Cao, Z & Lin, CT 2020, '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, Z, Cook, K, Canning, J, Chen, HT & Martelli, C 2020, '3-D printed smart orthotic insoles: Monitoring a person's gait step by step', IEEE Sensors Letters, vol. 4, no. 1.
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He, Y, Dong, X, Kang, G, Fu, Y, Yan, C & Yang, Y 2020, 'Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks.', IEEE Transactions on Cybernetics.
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Hu, C, Liu, X, Lu, J & Wang, CH 2020, 'Operations scheduling of waste-to-energy plants under uncertainty', Journal of Cleaner Production, vol. 253.
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Huang, L, Liu, F & Zhang, Y 2020, 'Overlapping Community Discovery for Identifying Key Research Themes', IEEE Transactions on Engineering Management, pp. 1-13.
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Huang, S, Xu, Z, Tsang, IW & Kang, Z 2020, 'Auto-weighted multi-view co-clustering with bipartite graphs', Information Sciences, vol. 512, pp. 18-30.
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Huang, Y, Zhu, F, Porter, AL, Zhang, Y, Zhu, D & Guo, Y 2020, 'Exploring Technology Evolution Pathways to Facilitate Technology Management: From a Technology Life Cycle Perspective', IEEE Transactions on Engineering Management.
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Jiang, J, Ji, S & Long, G 2020, 'Decentralized Knowledge Acquisition for Mobile Internet Applications', World Wide Web.
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Jiang, P, Li, R, Lu, H & Zhang, X 2020, 'Modeling of electricity demand forecast for power system', Neural Computing and Applications.
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Ju, R, Zhou, P, Wen, S, Wei, W, Xue, Y, Huang, X & Yang, X 2020, '3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling', IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1-15.
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King, JT, Prasad, M, Tsai, T, Ming, YR & Lin, CT 2020, 'Influence of Time Pressure on Inhibitory Brain Control During Emergency Driving', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Kong, L, Qu, W, Yu, J, Zuo, H, Chen, G, Xiong, F, Pan, S, Lin, S & Qiu, M 2020, 'Distributed Feature Selection for Big Data Using Fuzzy Rough Sets', IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 28, no. 5, pp. 846-857.
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Li, DL, Prasad, M, Liu, CL & Lin, CT 2020, 'Multi-View Vehicle Detection Based on Fusion Part Model With Active Learning', IEEE Transactions on Intelligent Transportation Systems.
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Lin, A, Lu, J, Xuan, J, Zhu, F & Zhang, G 2020, 'A Causal Dirichlet Mixture Model for Causal Inference from Observational Data', ACM Transactions on Intelligent Systems and Technology, vol. 11, no. 3.
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Lin, C-T, King, J-T, Chuang, C-H, Ding, W, Chuang, W-Y, Liao, L-D & Wang, Y-K 2020, 'Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements.', International Journal of Neural Systems, vol. 30, no. 1.
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Lin, C-T, Yu, Y-H, King, J-T, Liu, C-H & Liao, L-D 2020, 'Augmented Wire-Embedded Silicon-Based Dry-Contact Sensors for Electroencephalography Signal Measurements', IEEE SENSORS JOURNAL, vol. 20, no. 7, pp. 3831-3837.
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Lin, Y, Wu, Y, Yan, C, Xu, M & Yang, Y 2020, 'Unsupervised person re-identification via cross-camera similarity exploration', IEEE Transactions on Image Processing, vol. 29, pp. 5481-5490.
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Liu, A, Lu, J & Zhang, G 2020, 'Concept Drift Detection via Equal Intensity k-Means Space Partitioning.', IEEE transactions on cybernetics.
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Liu, A, Lu, J & Zhang, G 2020, 'Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation.', IEEE transactions on neural networks and learning systems, vol. PP.
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Liu, F, Zhang, G & Lu, J 2020, 'Heterogeneous Domain Adaptation: An Unsupervised Approach.', IEEE transactions on neural networks and learning systems.
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Liu, Q, Huang, H, Xuan, J, Zhang, G, Gao, Y & Lu, J 2020, 'A Fuzzy Word Similarity Measure for Selecting Top-k Similar Words in Query Expansion', IEEE Transactions on Fuzzy Systems, pp. 1-1.
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Liu, W, Chang, X, Chen, L, Phung, D, Zhang, X, Yang, Y & Hauptmann, AG 2020, 'Pair-based uncertainty and diversity promoting early active learning for person re-identification', ACM Transactions on Intelligent Systems and Technology, vol. 11, no. 2.
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Liu, W, Gong, D, Tan, M, Shi, JQ, Yang, Y & Hauptmann, AG 2020, 'Learning Distilled Graph for Large-Scale Social Network Data Clustering', IEEE Transactions on Knowledge and Data Engineering, vol. 32, no. 7, pp. 1393-1404.
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Liu, Y, Lan, C, Blumenstein, M & Li, J 2020, 'Bi-level error correction for PacBio long reads', IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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Liu, Z, Cao, J, Tan, Y, Xiao, Q & Prasad, M 2020, 'Planning Above the API Clouds Before Flying Above the Clouds: A Real-Time Personalized Air Travel Planning Approach', International Journal of Parallel Programming, vol. 48, no. 1, pp. 137-156.
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Liu, Z, Xiao, F, Lin, C-T, Kang, BH & Cao, Z 2020, '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, Song, Y & Zhang, G 2020, 'Data-driven decision support under concept drift in streamed big data', COMPLEX & INTELLIGENT SYSTEMS.
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Ma, J, Liang, P, Yu, W, Chen, C, Guo, X, Wu, J & Jiang, J 2020, 'Infrared and visible image fusion via detail preserving adversarial learning', Information Fusion, vol. 54, pp. 85-98.
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Niu, K, Guo, J, Pan, Y, Gao, X, Peng, X, Li, N & Li, H 2020, 'Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data', COMPLEXITY, vol. 2020.
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Niu, T, Wang, J, Lu, H, Yang, W & Du, P 2020, 'Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting', EXPERT SYSTEMS WITH APPLICATIONS, vol. 148.
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Nobakht, M, Sui, Y, Seneviratne, A & Hu, W 2020, 'PGFIT: Static permission analysis of health and fitness apps in IoT programming frameworks', JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, vol. 152.
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Ouyang, D, Yuan, L, Qin, L, Chang, L, Zhang, Y & Lin, X 2020, 'Efficient Shortest Path Index Maintenance on Dynamic Road Networks with Theoretical Guarantees.', Proc. VLDB Endow., vol. 13, pp. 602-615.

Pan, Y, Tsang, IW, Singh, AK, Lin, C-T & Sugiyama, M 2020, 'Stochastic Multichannel Ranking with Brain Dynamics Preferences.', Neural computation, pp. 1-32.
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Prakash, S, Joshi, S, Bhatia, T, Sharma, S, Samadhiya, D, Shah, RR, Kaiwartya, O & Prasad, M 2020, 'Characteristic of enterprise collaboration system and its implementation issues in business management', International Journal of Business Intelligence and Data Mining, vol. 16, no. 1, pp. 49-65.
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Qu, X, Yu, Y, Zhou, M, Lin, C-T & Wang, X 2020, 'Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach', APPLIED ENERGY, vol. 257.
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Rahim, MS, Khoi, AN, Stewart, RA, Giurco, D & Blumenstein, M 2020, 'Machine Learning and Data Analytic Techniques in Digital Water Metering: A Review', WATER, vol. 12, no. 1.
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Razzak, I, Saris, RA, Blumenstein, M & Xu, G 2020, 'Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection.', Neural networks : the official journal of the International Neural Network Society, vol. 121, pp. 441-451.
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Shi, Y, Hoang, DT, Duong, TQ, Poor, HV & Savkin, A 2020, 'PMU Placement Optimization for Efficient State Estimation in Smart Grid', IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, vol. 38, no. 1, pp. 71-83.
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Siami, M, Naderpour, M & Lu, J 2020, 'A Mobile Telematics Pattern Recognition Framework for Driving Behavior Extraction', IEEE Transactions on Intelligent Transportation Systems, pp. 1-14.
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Singh, AK, Chen, HT, Gramann, K & Lin, CT 2020, 'Intraindividual completion time modulates the prediction error negativity in a virtual 3-d object selection task', IEEE Transactions on Cognitive and Developmental Systems, vol. 12, no. 2, pp. 354-360.
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Singh, AK, Wang, Y-K, King, J-T & Lin, C-T 2020, 'Extended Interaction with a BCI Video Game Changes Resting-State Brain Activity', IEEE Transactions on Cognitive and Developmental Systems, pp. 1-1.
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Song, Y, Lu, J, Lu, H & Zhang, G 2020, 'Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams', IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 28, no. 3, pp. 544-557.
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Sun, B, Cao, Y, Guo, Z, Yan, Z, Wen, S, Huang, T & Chen, Y 2020, 'Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-10.
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Sun, Y, Zheng, L, Li, Y, Yang, Y, Tian, Q & Wang, S 2020, 'Learning Part-based Convolutional Features for Person Re-identification', IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-1.
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Wan, G, Du, B, Pan, S & Wu, J 2020, 'Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion', World Wide Web.
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Wan, S, Gong, C, Zhong, P, Pan, S, Li, G & Yang, J 2020, 'Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network', IEEE Transactions on Geoscience and Remote Sensing, pp. 1-16.
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Wang, B, Li, T, Yan, Z, Zhang, G & Lu, J 2020, 'DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting', NEUROCOMPUTING, vol. 397, pp. 11-19.
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Wang, G, Lu, J, Choi, KS & Zhang, G 2020, 'A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data', IEEE Transactions on Cybernetics, vol. 50, no. 2, pp. 739-752.
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Wang, G, Teoh, JYC, Lu, J & Choi, KS 2020, 'Least squares support vector machines with fast leave-one-out AUC optimization on imbalanced prostate cancer data', International Journal of Machine Learning and Cybernetics.
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Wang, G, Wong, KW & Lu, J 2020, 'AUC-Based Extreme Learning Machines for Supervised and Semi-Supervised Imbalanced Classification', IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1-12.
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Wang, G, Zhang, G, Choi, KS, Lam, KM & Lu, J 2020, 'Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis', Neurocomputing, vol. 387, pp. 279-292.
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Wang, H, Wei, G, Wen, S & Huang, T 2020, 'Generalized norm for existence, uniqueness and stability of Hopfield neural networks with discrete and distributed delays', Neural Networks, vol. 128, pp. 288-293.
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Wang, H, Wu, J, Zhu, X, Chen, Y & Zhang, C 2020, 'Time-Variant Graph Classification', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Wang, J, Li, H, Lu, H, Yang, H & Wang, C 2020, 'Integrating offline logistics and online system to recycle e-bicycle battery in China', Journal of Cleaner Production, vol. 247.
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Wang, J, Niu, T, Lu, HY, Yang, W & Du, P 2020, 'A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting', IEEE Transactions on Sustainable Energy, vol. 11, no. 1, pp. 337-349.
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Wang, K, Lin, X, Qin, L, Zhang, W & Zhang, Y 2020, 'Efficient bitruss decomposition for large-scale bipartite graphs', Proceedings - International Conference on Data Engineering, vol. 2020-April, pp. 661-672.
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Wang, L, Yu, Z, Xiong, F, Yang, D, Pan, S & Yan, Z 2020, 'Influence Spread in Geo-Social Networks: A Multiobjective Optimization Perspective.', IEEE Transactions on Cybernetics.
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Wang, M, Yan, Z, Wang, T, Cai, P, Gao, S, Zeng, Y, Wan, C, Wang, H, Pan, L, Yu, J, Pan, S, He, K, Lu, J & Chen, X 2020, 'Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors', NATURE ELECTRONICS.
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Wang, Q, Huang, Y, Jia, W, He, X, Blumenstein, M, Lyu, S & Lu, Y 2020, 'FACLSTM: ConvLSTM with focused attention for scene text recognition', Science China Information Sciences, vol. 63, no. 2.
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Wang, S, Cao, Y, Guo, Z, Yan, Z, Wen, S & Huang, T 2020, 'Periodic Event-Triggered Synchronization of Multiple Memristive Neural Networks With Switching Topologies and Parameter Mismatch', IEEE Transactions on Cybernetics, pp. 1-11.
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Wen, S, Liu, W, Yang, Y, Zhou, P, Guo, Z, Yan, Z, Chen, Y & Huang, T 2020, 'Multilabel Image Classification via Feature/Label Co-Projection', IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1-10.
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Wu, A, Han, Y, Yang, Y, Hu, Q & Wu, F 2020, 'Convolutional Reconstruction-to-Sequence for Video Captioning', IEEE Transactions on Circuits and Systems for Video Technology, pp. 1-1.
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Wu, Y, Jiang, L & Yang, Y 2020, 'Revisiting EmbodiedQA: A Simple Baseline and Beyond', IEEE Transactions on Image Processing, vol. 29, pp. 3984-3992.
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Wu, Z, Pan, S, Chen, F, Long, G, Zhang, C & Yu, PS 2020, 'A Comprehensive Survey on Graph Neural Networks', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-21.
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Xiao, G, Zheng, Z, Jiang, B & Sui, Y 2020, 'An Empirical Study of Regression Bug Chains in Linux', IEEE Transactions on Reliability.
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Xiao, J, Zeng, Z, Wen, S, Wu, A & Wang, L 2020, 'A Unified Framework Design for Finite-Time and Fixed-Time Synchronization of Discontinuous Neural Networks.', IEEE Transactions on Cybernetics.
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Xiao, J, Zeng, Z, Wu, A & Wen, S 2020, 'Fixed-time synchronization of delayed Cohen–Grossberg neural networks based on a novel sliding mode', Neural Networks, vol. 128, pp. 1-12.
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Xiong, F, Shen, W, Chen, H, Pan, S, Wang, X & Yan, Z 2020, '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 2020, '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 2020, 'Survey on Multi-Output Learning.', IEEE transactions on neural networks and learning systems.
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Xu, K, Wang, F, Wang, H, Wang, Y & Zhang, Y 2020, 'Mitigating the Impact of Data Sampling on Social Media Analysis and Mining', IEEE Transactions on Computational Social Systems, vol. 7, no. 2, pp. 546-555.
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Xu, X, Tsang, IW & Liu, C 2020, 'Improving Generalization via Attribute Selection on Out-of-the-Box Data.', Neural Computation, vol. 32, no. 2, pp. 485-514.
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Xuan, J, Luo, X, Lu, J & Zhang, G 2020, 'Web event evolution trend prediction based on its computational social context', WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, vol. 23, no. 3, pp. 1861-1886.
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Yan, Y, Tan, M, Tsang, I, Yang, Y, Shi, Q & Zhang, C 2020, 'Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis and Case Study', IEEE Transactions on Knowledge and Data Engineering.
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Yan, Z, Chen, J, Hu, R, Huang, T, Chen, Y & Wen, S 2020, 'Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates', Neural Networks, vol. 128, pp. 142-149.
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Yu, H, Lu, J & Zhang, G 2020, 'An Online Robust Support Vector Regression for Data Streams', IEEE Transactions on Knowledge and Data Engineering, pp. 1-1.
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Yu, H, Lu, J & Zhang, G 2020, '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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Zhang, F, Li, C, Zhang, Y, Qin, L & Zhang, W 2020, 'Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems', IEEE Transactions on Knowledge and Data Engineering, vol. 32, no. 1, pp. 78-91.
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Zhang, L, Luo, M, Liu, J, Chang, X, Yang, Y & Hauptmann, AG 2020, 'Deep Top-k Ranking for Image-Sentence Matching', IEEE Transactions on Multimedia, vol. 22, no. 3, pp. 775-785.
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Zhang, R, Lu, W, Wang, S, Peng, X, Yu, R & Gao, Y 2020, 'Chinese clinical named entity recognition based on stacked neural network', Concurrency and Computation: Practice and Experience.
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Zhang, Y, Porter, AL, Cunningham, S, Chiavetta, D & Newman, N 2020, 'Parallel or Intersecting Lines? Intelligent Bibliometrics for Investigating the Involvement of Data Science in Policy Analysis', IEEE Transactions on Engineering Management, pp. 1-13.
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Zhang, Y, Sui, Y, Pan, S, Zheng, Z, Ning, B, Tsang, I & Zhou, W 2020, 'Familial Clustering For Weakly-labeled Android Malware Using Hybrid Representation Learning', IEEE Transactions on Information Forensics and Security.
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Zhao, D, Duan, S, Yan, Z & Alippi, C 2020, 'Advances in deep neural information processing', Neurocomputing.
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Zhao, X, Guo, J, Nie, F, Chen, L, Li, Z & Zhang, H 2020, 'Joint Principal Component and Discriminant Analysis for Dimensionality Reduction', IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 2, pp. 433-444.
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Zheng, C, Zhang, Q, Long, G, Zhang, C, Young, SD & Wang, W 2020, 'Measuring Time-Sensitive and Topic-Specific Influence in Social Networks with LSTM and Self-Attention', IEEE Access, vol. 8, pp. 82481-82492.
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Zheng, Y, Hu, R, Fung, SF, Yu, C, Long, G, Guo, T & Pan, S 2020, 'Clustering social audiences in business information networks', Pattern Recognition, vol. 100.
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Zhong, Z, Zheng, L, Luo, Z, Li, S & Yang, Y 2020, 'Learning to Adapt Invariance in Memory for Person Re-identification', IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-1.
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Zhou, P, Zhao, W, Li, J, Li, A, Du, W & Wen, S 2020, 'Massive Maritime Path Planning: A Contextual Online Learning Approach', IEEE Transactions on Cybernetics, pp. 1-12.
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Zhou, R, Chang, X, Shi, L, Shen, YD, Yang, Y & Nie, F 2020, 'Person Reidentification via Multi-Feature Fusion with Adaptive Graph Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 5, pp. 1592-1601.
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Zhu, F, Lu, J, Lin, A & Zhang, G 2020, 'A Pareto-smoothing method for causal inference using generalized Pareto distribution', Neurocomputing, vol. 378, pp. 142-152.
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Conferences

Adak, C, Chaudhuri, BB, Lin, CT & Blumenstein, M 2019, 'Detecting named entities in unstructured bengali manuscript images', Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, International Conference on Document Analysis and Recognition, IEEE, Sydney, Australia, pp. 196-201.
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Al-Hadhrami, Y & Hussain, FK 2020, 'A Machine Learning Architecture Towards Detecting Denial of Service Attack in IoT', Advances in Intelligent Systems and Computing, pp. 417-429.
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Al-Hadhrami, Y, Al-Hadhrami, N & Hussain, FK 2020, 'Data exportation framework for IoT simulation based devices', Advances in Intelligent Systems and Computing, pp. 212-222.
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Almansor, EH & Hussain, FK 2020, 'Survey on Intelligent Chatbots: State-of-the-Art and Future Research Directions', Advances in Intelligent Systems and Computing, pp. 534-543.
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Almansor, EH, Al-Ani, A & Hussain, FK 2020, 'Transferring Informal Text in Arabic as Low Resource Languages: State-of-the-Art and Future Research Directions', Advances in Intelligent Systems and Computing, pp. 176-187.
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Basavaraja, V, Shivakumara, P, Guru, DS, Pal, U, Lu, T & Blumenstein, M 2019, 'Age estimation using disconnectedness features in handwriting', Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, International Conference on Document Analysis and Recognition, IEEE, Sydney, Australia, pp. 1131-1136.
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Chowdhury, PN, Shivakumara, P, Raghavendra, R, Pal, U, Lu, T & Blumenstein, M 2020, 'A New U-Net Based License Plate Enhancement Model in Night and Day Images', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 749-763.
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Das, A, Pal, U, Blumenstein, M, Wang, C, He, Y, Zhu, Y & Sun, Z 2019, 'Sclera Segmentation Benchmarking Competition in Cross-resolution Environment', 2019 International Conference on Biometrics, ICB 2019, International Conference on Biometrics, IEEE, Crete, Greece.
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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, Sydney, Australia.
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Dawson, NJ, Rizoiu, M-A, Johnston, B & Williams, M-A 1970, 'Adaptively selecting occupations to detect skill shortages from online job ads', IEEE International Conference on Big Data (IEEE Big Data 2019), IEEE International Conference on Big Data, Los Angeles, CA, USA, pp. 1-7.
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Dong, X & Yang, Y 2019, 'One-Shot Neural Architecture Search via Self-Evaluated Template Network', 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE, Seoul, Korea (South), Korea.
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Dong, X & Yang, Y 2019, 'Teacher supervises students how to learn from partially labeled images for facial landmark detection', Proceedings of the IEEE International Conference on Computer Vision, IEEE/CVF International Conference on Computer Vision, IEEE, Seoul, Korea (South), pp. 783-792.
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Fan, H & Yang, Y 2020, 'Person Tube Retrieval via Language Description', New York.

Feng, Q, Yang, Z, Li, P, Wei, Y & Yang, Y 2019, 'Dual embedding learning for video instance segmentation', Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), IEEE, Seoul, Korea (South), pp. 717-720.
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Ikram, MA, Sharma, N, Raza, M & Hussain, FK 2020, 'Dynamic Ranking System of Cloud SaaS Based on Consumer Preferences - Find SaaS M2NFCP', Advances in Intelligent Systems and Computing, pp. 1000-1010.
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Khan, S & Hussain, FK 2020, 'A soa based sla negotiation and formulation architecture for personalized service delivery in sdn', Advances in Intelligent Systems and Computing, pp. 108-119.
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Kundu, S, Shivakumara, P, Grouver, A, Pal, U, Lu, T & Blumenstein, M 2020, 'A New Forged Handwriting Detection Method Based on Fourier Spectral Density and Variation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 136-150.
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Li, G, Zhu, L, Liu, P & Yang, Y 2019, 'Entangled transformer for image captioning', Proceedings of the IEEE International Conference on Computer Vision, IEEE/CVF International Conference on Computer Vision, IEEE, Seoul, Korea (South), pp. 8927-8936.
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Lin, A, Lu, J, Xuan, J, Zhu, F & Zhang, G 2019, 'One-stage deep instrumental variable method for causal inference from observational data', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Beijing, China, pp. 419-428.
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Luo, Y, Liu, P, Guan, T, Yu, J & Yang, Y 2019, 'Significance-aware information bottleneck for domain adaptive semantic segmentation', Proceedings of the IEEE International Conference on Computer Vision, IEEE/CVF International Conference on Computer Vision, IEEE, Seoul, Korea, pp. 6777-6786.
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Luo, Y, Zheng, L, Guan, T, Yu, J & Yang, Y 2019, 'Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, Long Beach, CA, pp. 2502-2511.
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Miao, J, Wu, Y, Liu, P, DIng, Y & Yang, Y 2019, 'Pose-guided feature alignment for occluded person re-identification', Proceedings of the IEEE International Conference on Computer Vision, IEEE/CVF International Conference on Computer Vision, IEEE, Seoul, Korea (South), pp. 542-551.
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Naji, M, Braytee, A, Al-Ani, A, Anaissi, A, Goyal, M & Kennedy, PJ 2020, 'Design of airport security screening using queueing theory augmented with particle swarm optimisation', Service Oriented Computing and Applications, pp. 119-133.
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Pan, P, Yan, Y, Yang, T & Yang, Y 2020, 'Learning Discriminators as Energy Networks in Adversarial Learning', New York.

Peng, X, Long, G, Shen, T, Wang, S & Jiang, J 2020, 'Self-Attention Enhanced Patient Journey Understanding in Healthcare System', Ghent Belgium.
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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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Quan, R, Dong, X, Wu, Y, Zhu, L & Yang, Y 2019, 'Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification', IEEE International Conference on Computer Vision, ICCV, IEEE/CVF International Conference on Computer Vision, IEEE, Seoul, Korea (South).
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Rahman, MA, Singh, P, Muniyandi, RC, Mery, D & Prasad, M 2019, 'Prostate Cancer Classification Based on Best First Search and Taguchi Feature Selection Method', Image and Video Technology, Pacific-Rim Symposium on Image and Video Technology, Springer, Sydney, NSW, Australia, pp. 325-336.
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Roy, S, Shivakumara, P, Pal, U, Lu, T & Blumenstein, M 2020, 'New Moments Based Fuzzy Similarity Measure for Text Detection in Distorted Social Media Images', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 720-734.
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Shen, T, Geng, X, Qin, T, Long, G, Jiang, J & Jiang, D 2020, 'Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering', International Joint Conference on Artificial Intelligence 2020, Yokohama, Japan.
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Singh, AK, Aldini, S, Leong, D, Wang, YK, Carmichael, MG, Liu, D & Lin, CT 2020, 'Prediction Error Negativity in Physical Human-Robot Collaboration', 8th International Winter Conference on Brain-Computer Interface, BCI 2020.
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Soomro, AM, Paryani, S, Rehman, J, Echeverria, R, Prasad, M & Biloria, N 2019, 'Influencing Human Behaviour to Optimise Energy in Commercial Buildings', https://www.acis2019.org/papers-by-session/, Australian Conference on Information Systems, AIS, Perth, Australia, pp. 901-907.
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Thiyagarajan, K, Kodagoda, S, Ulapane, N & Prasad, M 2020, 'A Temporal Forecasting Driven Approach Using Facebook’s Prophet Method for Anomaly Detection in Sewer Air Temperature Sensor System', 2020 15th IEEE Conference on Industrial Electronics and Applications, Kristiansand, Norway.

Tonkin, M, Vitale, J, Herse, S, Raza, SA, Madhisetty, S, Kang, L, Vu, TD, Johnston, B & Williams, MA 2019, 'Privacy First: Designing Responsible and Inclusive Social Robot Applications for in the Wild Studies', 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), IEEE International Conference on Robot and Human Interactive Communication, IEEE, New Delhi, India.
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Ubaid, A, Dong, F & Hussain, FK 2020, 'Framework for Feature Selection in Health Assessment Systems', Advances in Intelligent Systems and Computing, pp. 313-324.
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Wan, Y, Shu, J, Sui, Y, Xu, G, Zhao, Z, Wu, J & Yu, P 2019, 'Multi-modal attention network learning for semantic source code retrieval', Proceedings - 2019 34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019, IEEE/ACM International Conference on Automated Software Engineering, IEEE, San Diego, CA, USA, pp. 13-25.
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Wang, H, Deng, C, Ma, F & Yang, Y 2020, 'Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries', New York.

Wang, Q, Jia, W, He, X, Lu, Y, Blumenstein, M, Huang, Y & Lyu, S 2019, 'DeepText: Detecting text from the wild with multi-ASPP-assembled deeplab', Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, International Conference on Document Analysis and Recognition, IEEE, Sydney, Australia, pp. 208-213.
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Wang, X, Wu, Y, Zhu, L & Yang, Y 2020, 'Symbiotic Attention with Privileged Information for Egocentric Action Recognition', The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI.

Wu, Y, Zhu, L, Yan, Y & Yang, Y 2019, 'Dual Attention Matching for Audio-Visual Event Localization', IEEE International Conference on Computer Vision, ICCV, IEEE/CVF International Conference on Computer Vision, IEEE, Seoul, Korea (South).
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Yang, B, Wen, D, Qin, L, Zhang, Y, Wang, X & Lin, X 2020, 'Fully Dynamic Depth-First Search in Directed Graphs', Proceedings of the VLDB Endowment, 46th International Conference on Very Large Data Bases, VLDB Endowment, Tokyo, Japan, pp. 142-154.
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Yang, Z, Dong, J, Liu, P, Yang, Y & Yan, S 2019, 'Very long natural scenery image prediction by outpainting', Proceedings of the IEEE International Conference on Computer Vision, IEEE/CVF International Conference on Computer Vision, IEEE, Seoul, Korea (South), pp. 10560-10569.
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Yang, Z, Li, P, Feng, Q, Wei, Y & Yang, Y 2019, 'Going deeper into embedding learning for video object segmentation', Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019, IEEE/CVF International Conference on Computer Vision Workshop, IEEE, Seoul, Korea (South), pp. 697-700.
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Zhong, Z, Zheng, L, Kang, G, Li, S & Yang, Y 2020, 'Random Erasing Data Augmentation', New York.

Zhong, Z, Zheng, L, Luo, Z, Li, S & Yang, Y 2019, 'Invariance matters: Exemplar memory for domain adaptive person re-identification', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, Long Beach, CA, USA, pp. 598-607.
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Zhu, F, Wang, X, Zhu, L, Dong, X & Yang, Y 2020, 'UTS CAI submission at TRECVID 2018 ad-hoc video search task', 2018 TREC Video Retrieval Evaluation, TRECVID 2018.
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Zhu, F, Zhu, L & Yang, Y 2019, 'Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation', IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, Long Beach, CA, USA, pp. 11388-11397.
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Zhu, L, Sevilla-Lara, L, Tran, D, Feiszli, M, Yang, Y & Wang, H 2020, 'FASTER Recurrent Networks for Video Classification', The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI.

Zhu, M, Pan, P, Chen, W & Yang, Y 2020, 'EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network', New York.

Zou, C, Sui, Y, Yan, H & Xue, J 2019, 'TCD: Statically Detecting Type Confusion Errors in C++ Programs', Proceedings - International Symposium on Software Reliability Engineering, ISSRE, International Symposium on Software Reliability Engineering, IEEE, Berlin, Germany, pp. 292-302.
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