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Publications

Chapters

Chen, H, Zhang, Y & Zhu, D 2016, 'Identifying Technological Topic Changes in Patent Claims Using Topic Modeling' in Daim, T, Porter, A, Chiavetta, D & Saritas, O (eds), Anticipating Future Innovation Pathways through Large Data Analytics, Springer, Switzerland, pp. 187-209.
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Huang, L, Shang, L, Wang, K, Porter, A & Zhang, Y 2016, 'Identifying target for technology mergers and acquisitions using patent information and semantic analysis' in Daim, T, Porter, A, Chiavetta, D & Saritas, O (eds), Anticipating Future Innovation Pathways Through Large Data Analysis, Springer, Germany, pp. 173-186.
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Zhang, Y, Chen, H & Zhu, D 2016, 'Semi-automatic Technology Roadmapping Composing Method for Multiple Science, Technology, and Innovation Data Incorporation' in Daim, T, Porter, A, Chiavetta, D & Saritas, O (eds), Anticipating Future Innovation Pathways through Large Data Analytics, Springer, Switzerland, pp. 211-227.
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Journal articles

Ahadi, A, Brennan, S, Kennedy, P, Hutvagner, G & Tran, N 2016, 'Long non-coding RNAs harboring miRNA seed regions are enriched in prostate cancer exosomes', Scientific Reports, vol. 6, pp. 1-14.
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Anaissi, A, Goyal, M, Catchpoole, DR, Braytee, A & Kennedy, PJ 2016, 'Ensemble Feature Learning of Genomic Data Using Support Vector Machine.', PLoS ONE, vol. 11, no. 6, pp. 1-17.
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Anshar, M & Williams, MA 2016, 'Evolving synthetic pain into an adaptive self-awareness framework for robots', Biologically Inspired Cognitive Architectures, vol. 16, pp. 8-18.
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Cao, Z, Lin, C-T, Chuang, C-H, Lai, K-L, Yang, AC, Fuh, J-L & Wang, S-J 2016, 'Resting-state EEG power and coherence vary between migraine phases', JOURNAL OF HEADACHE AND PAIN, vol. 17.
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Chan, B, Guan, H, Hou, L, Jo, J, Blumenstein, M & Wang, J 2016, 'Defining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments', Journal of Civil Structural Health Monitoring, vol. 6, no. 4, pp. 703-714.
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Chang, X, Nie, F, Wang, S, Yang, Y, Zhou, X & Zhang, C 2016, 'Compound Rank-k Projections for Bilinear Analysis', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 7, pp. 1502-1513.
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Chang, X, Nie, F, Yang, Y, Zhang, C & Huang, H 2016, 'Convex Sparse PCA for Unsupervised Feature Learning', ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 1, pp. 1-16.
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Chaturvedi, I, Ong, Y, Tsang, W, Welsch, R & Cambria, E 2016, 'Learning word dependencies in text by means of a deep recurrent belief network', Knowledge-Based Systems, vol. 108, pp. 144-154.
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Chen, L, Li, X, Yang, Y, Kurniawati, H, Sheng, QZ, Hu, HY & Huang, N 2016, 'Personal health indexing based on medical examinations: A data mining approach', Decision Support Systems, vol. 81, pp. 54-65.
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Chen, Q, Chen, Y-PP & Zhang, C 2016, 'Interval-Based Similarity for Classifying Conserved RNA Secondary Structures', IEEE INTELLIGENT SYSTEMS, vol. 31, no. 3, pp. 78-85.
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Chuang, S-W, Chuang, C-H, Yu, Y-H, King, J-T & Lin, C-T 2016, 'EEG Alpha and Gamma Modulators Mediate Motion Sickness-Related Spectral Responses', INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, vol. 26, no. 2.
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Das, A, Ferrer, MA, Pal, U, Pal, S, Diaz, M & Blumenstein, M 2016, 'Multi-script versus single-script scenarios in automatic off-line signature verification', IET BIOMETRICS, vol. 5, no. 4, pp. 305-313.
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Das, A, Pal, U, Ferrer, MA & Blumenstein, M 2016, 'A framework for liveness detection for direct attacks in the visible spectrum for multimodal ocular biometrics', Pattern Recognition Letters, vol. 82, no. 2, pp. 232-241.
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Ding, W-P, Lin, C-T, Prasad, M, Chen, S-B & Guan, Z-J 2016, 'Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Coevolutionary Cloud and Its Application in Medical Records', IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, vol. 46, no. 3, pp. 384-400.
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Du, X, Yan, Y, Pan, P, Long, G & Zhao, L 2016, 'Multiple graph unsupervised feature selection', Signal Processing, vol. 120, pp. 754-760.
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Dzeng, R-J, Lin, C-T & Fang, Y-C 2016, 'Using eye-tracker to compare search patterns between experienced and novice workers for site hazard identification', SAFETY SCIENCE, vol. 82, pp. 56-67.
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Gan, C, Yang, Y, Zhu, L, Zhao, D & Zhuang, Y 2016, 'Recognizing an Action Using Its Name: A Knowledge-Based Approach', INTERNATIONAL JOURNAL OF COMPUTER VISION, vol. 120, no. 1, pp. 61-77.
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Gao, S, Duan, L & Tsang, IW 2016, 'DEFEATnet-A Deep Conventional Image Representation for Image Classification', IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, vol. 26, no. 3, pp. 494-505.
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Guntuku, SC, Zhou, JT, Roy, S, Lin, W & Tsang, IW 2016, 'Understanding Deep Representations Learned in Modeling Users Likes', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 8, pp. 3762-3774.
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Gupta, P, Lin, C-T, Mehlawat, MK & Grover, N 2016, 'A New Method for Intuitionistic Fuzzy Multiattribute Decision Making', IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, vol. 46, no. 9, pp. 1167-1179.
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Han, Y & Yang, Y 2016, 'Guest editorial: Adaptation methods for multimedia analysis', NEUROCOMPUTING, vol. 173, pp. 81-82.
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Han, Y, Yang, Y & Zhou, X 2016, 'Guest editorial: web multimedia semantic inference using multi-cues', WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, vol. 19, no. 2, pp. 177-179.
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He, X & Shi, L 2016, 'A Binomial Model of Asset and Option Pricing with Heterogeneous Beliefs', Journal of Management Science and Engineering, vol. 1, no. 1, pp. 94-113.
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He, X, Li, K & Wang, C 2016, 'Volatility clustering: A nonlinear theoretical approach', Journal of Economic Behavior & Organization, vol. 130, pp. 274-297.
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He, XZ & Zheng, H 2016, 'Trading heterogeneity under information uncertainty', Journal of Economic Behavior and Organization, vol. 130, pp. 64-80.
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Hou, S, Zhou, S, Chen, L, Feng, Y & Awudu, K 2016, 'Multi-label learning with label relevance in advertising video', Neurocomputing, vol. 171, pp. 932-948.
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Huang, K-C, Huang, T-Y, Chuang, C-H, King, J-T, Wang, Y-K, Lin, C-T & Jung, T-P 2016, 'An EEG-Based Fatigue Detection and Mitigation System.', International journal of neural systems, vol. 26, no. 4, pp. 1650018-1650018.
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Huang, Y, Zhang, Y, Youtie, J, Porter, A & Wang, X 2016, 'How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China', PLoS One, vol. 11, no. 5, pp. 1-20.
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Hussain, W, Hussain, FK, Hussain Omar K & Chang E 2016, 'Provider-Based Optimized Personalized Viable SLA (OPV-SLA) Framework to Prevent SLA Violation', The Computer Journal, vol. 59, no. 12, pp. 1760-1783.
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Jay, B 2016, 'Programs as Data Structures in $\l SF$-Calculus', Proceedings of MFPS XXXII.
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Jay, B 2016, 'Programs as Data Structures in λSF-Calculus', Electronic Notes in Theoretical Computer Science, vol. 325, pp. 221-236.
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Jialin, H, Guangquan, Z, Yaoguang, H & Jie, L 2016, 'A solution to bi/tri-level programming problems using particle swarm optimization', INFORMATION SCIENCES, vol. 370, pp. 519-537.
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Kaiwartya, O, Abdullah, AH, Cao, Y, Altameem, A, Prasad, M, Lin, CT & Liu, X 2016, 'Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects', IEEE Access, vol. 4, pp. 5356-5373.
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Khare, V, Shivakumara, P, Raveendran, P & Blumenstein, M 2016, 'A blind deconvolution model for scene text detection and recognition in video', Pattern Recognition, vol. 54, pp. 128-148.
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Li, DL, Prasad, M, Lin, CT & Chang, JY 2016, 'Self-adjusting feature maps network and its applications', Neurocomputing, vol. 2017, pp. 78-94.
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Li, M, Pan, S, Zhang, Y & Cai, X 2016, 'Classifying networked text data with positive and unlabeled examples', PATTERN RECOGNITION LETTERS, vol. 77, pp. 1-7.
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Li, Q, Xie, B, You, J, Bian, W & Tao, D 2016, 'Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 8, pp. 3801-3813.
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Li, RH, Qin, L, Yu, JX & Mao, R 2016, 'Optimal Multi-Meeting-Point Route Search', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 3, pp. 770-784.
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Lin, C, Hajinoroozi, M, Mao, Z, Jung, TP & Huang, YF 2016, 'EEG- based prediction of drivers cognitive performance by deep convolutional neural network', Signal Processing: Image Communication, vol. 47, pp. 549-555.
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Lin, C-T & Garibaldi, JJ 2016, 'Untitled', IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 24, no. 6, pp. 1257-1258.
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Lin, C-T, Chuang, C-H, Kerick, S, Mullen, T, Jung, T-P, Ko, L-W, Chen, S-A, King, J-T & McDowell, K 2016, 'Mind-Wandering Tends to Occur under Low Perceptual Demands during Driving', SCIENTIFIC REPORTS, vol. 6.
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Liu, W, Luo, X, Gong, Z, Xuan, J, Kou, NM & Xu, Z 2016, 'Discovering the core semantics of event from social media', Future Generation Computer Systems, vol. 64, pp. 175-185.
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Liu, W, Luo, X, Xuan, J, Xu, Z & Jiang, D 2016, 'Cognitive memory-inspired sentence ordering model', Knowledge-Based Systems, vol. 104, pp. 1-13.
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Liu, YT, Chuang, CH, Wang JM & Lin, CT 2016, 'Changes in Alertness and the EEG Effective Connectivity in a Sustained-Attention Driving Task', Journal of Neuroscience and Neuroengineering.

Liu, YT, Lin, C, Chuang, CH, Wang, YK, Huang, SH, King, JT, Chen, SA & Lu, SW 2016, 'Novel Neurotechnology and Computational Intelligence Method Applied to EEG-based Brain-Computer Interfaces', IEEE Systems, Man, and Cybernetics Magazine.

Liu, Y-T, Lin, Y-Y, Wu, S-L, Chuang, C-H & Lin, C-T 2016, 'Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 27, no. 2, pp. 347-360.
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Lu, J, Han, J, Hu, Y & Zhang, G 2016, 'Multilevel decision-making: A survey', INFORMATION SCIENCES, vol. 346, pp. 463-487.
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Lu, N, Lu, J, Zhang, G & Lopez de Mantaras, R 2016, 'A concept drift-tolerant case-base editing technique', ARTIFICIAL INTELLIGENCE, vol. 230, pp. 108-133.
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Lu, W-X, Zhou, C & Wu, J 2016, 'Big social network influence maximization via recursively estimating influence spread', KNOWLEDGE-BASED SYSTEMS, vol. 113, pp. 143-154.
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Lu, Z, Zhang, Q, Du, X, Wu, D & Gao, F 2016, 'A fuzzy social network centrality analysis model for interpersonal spatial relations', Knowledge-Based Systems, vol. 105, pp. 206-213.
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Luo, X, Xuan, J, Lu, J & Zhang, G 2016, 'Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation', ACM TRANSACTIONS ON INFORMATION SYSTEMS, vol. 34, no. 4.
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Martinez, L & Lu, J 2016, 'A Humble Tribute to 50 Years of Fuzzy Sets Preface', INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, vol. 9, pp. 1-2.
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Moyle, W, Jones, C, Sung, B, Bramble, M, O Dwyer, S, Blumenstein, M & Estivill-Castro, V 2016, 'What Effect Does an Animal Robot Called CuDDler Have on the Engagement and Emotional Response of Older People with Dementia? A Pilot Feasibility Study', International Journal of Social Robotics, vol. 8, no. 1, pp. 145-156.
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Naderpour, M, Lu, J & Zhang, G 2016, 'A safety-critical decision support system evaluation using situation awareness and workload measures', RELIABILITY ENGINEERING & SYSTEM SAFETY, vol. 150, pp. 147-159.
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Nguyen, Q, Khalifa, N, Alzamora, P, Gleeson, A, Catchpoole, D, Kennedy, P & Simoff, S 2016, 'Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions', Journal of Imaging, vol. 2, no. 4, pp. 1-17.
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Pan, S, Wu, J, Zhu, X, Zhang, C & Yu, PS 2016, 'Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 3, pp. 715-728.
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Pratama, M, Lu, J & Zhang, G 2016, 'Evolving Type-2 Fuzzy Classifier', IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 24, no. 3, pp. 574-589.
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Pratama, M, Lu, J, Anavatti, S, Lughofer, E & Lim, C-P 2016, 'An incremental meta-cognitive-based scaffolding fuzzy neural network', NEUROCOMPUTING, vol. 171, pp. 89-105.
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Pratama, M, Lu, J, Lughofer, E, Zhang, G & Anavatti, S 2016, 'Scaffolding type-2 classifier for incremental learning under concept drifts', Neurocomputing, vol. 191, pp. 304-329.
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Qiao, M, Xu, RYD, Bian, W & Tao, D 2016, 'Fast Sampling for Time-Varying Determinantal Point Processes', ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, vol. 11, no. 1.
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Reis, MDL, Ferme, E & Peppas, P 2016, 'Construction of system of spheres-based transitively relational partial meet multiple contractions: An impossibility result', ARTIFICIAL INTELLIGENCE, vol. 233, pp. 122-141.
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Reis, MDL, Peppas, P & Ferme, E 2016, 'Two axiomatic characterizations for the system of spheres-based (and the Epistemic Entrenchment-based) multiple contractions', ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, vol. 78, no. 3-4, pp. 181-203.
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Singh, J, Prasad, M, Prasad, OK, Joo, EM, Saxena, AK & Lin, C-T 2016, 'A Novel Fuzzy Logic Model for Pseudo-Relevance Feedback-Based Query Expansion', INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, vol. 18, no. 6, pp. 980-989.
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Sui, Y, Ye, D, Su, Y & Xue, J 2016, 'Eliminating Redundant Bounds Checks in Dynamic Buffer Overflow Detection Using Weakest Preconditions', IEEE TRANSACTIONS ON RELIABILITY, vol. 65, no. 4, pp. 1682-1699.
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Sun, L, Ma, J, Zhang, Y, Dong, H & Hussain, FK 2016, 'Cloud-FuSeR: Fuzzy ontology and MCDM based cloud service selection', FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, vol. 57, pp. 42-55.
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Surden, H & Williams, M-A 2016, 'How Self-Driving Cars Work'.

Surden, H & Williams, M-A 2016, 'Technological Opacity, Predictability, and Self-Driving Cars', Cardozo Law Review, vol. 38, pp. 1-52.
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Wang, S, Chang, X, Li, X, Long, G, Yao, L & Sheng, Q 2016, 'Diagnosis Code Assignment Using Sparsity-based Disease Correlation Embedding', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 12, pp. 3191-3202.
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Wang, S, Pan, P, Long, G, Chen, W, Li, X & Sheng, QZ 2016, 'Compact representation for large-scale unconstrained video analysis', World Wide Web, vol. 19, no. 2, pp. 231-246.
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Wang, W, Zhang, G & Lu, J 2016, 'Member contribution-based group recommender system', Decision Support Systems, vol. 87, pp. 80-93.
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Wang, X, Zhang, Y, Zhang, W & Lin, X 2016, 'Efficient identification of local keyword patterns in microblogging platforms', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 10, pp. 2621-2634.
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Wu, F, Fang, H, Li, X, Tang, S, Lu, W, Yang, Y, Zhu, W & Zhuang, Y 2016, 'Aspect Learning for Multimedia Summarization via Nonparametric Bayesian', IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, vol. 26, no. 10, pp. 1931-1942.
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Wu, J, Hong, Z, Pan, S, Zhu, X, Cai, Z & Zhang, C 2016, 'Multi-graph-view subgraph mining for graph classification', Knowledge and Information Systems, vol. 48, no. 1, pp. 29-54.
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Wu, J, Pan, S, Zhu, X, Zhang, P & Zhang, C 2016, 'SODE: Self-Adaptive One-Dependence Estimators for classification', Pattern Recognition, vol. 51, pp. 358-377.
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Wu, J, Wang, J, Qin, S & Lu, H 2016, 'Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm', International Journal of Green Energy, vol. 13, no. 11, pp. 1145-1162.
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Wu, Y, Shivakumara, P, Lu, T, Tan, CL, Blumenstein, M & Kumar, GH 2016, 'Contour restoration of text components for recognition in video/scene images', IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5622-5634.
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Xia, Y, Nie, L, Zhang, L, Yang, Y, Hong, R & Li, X 2016, 'Weakly Supervised Multilabel Clustering and its Applications in Computer Vision', IEEE TRANSACTIONS ON CYBERNETICS, vol. 46, no. 12, pp. 3220-3232.
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Xiao, L, Shao, W, Wang, C, Zhang, K & Lu, H 2016, 'Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting', APPLIED ENERGY, vol. 180, pp. 213-233.
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Xu, G, Qiu, L & Peng, X 2016, 'Hot Topic Extraction and Public Opinion Classification of Tibetan Texts', Journal of Digital Information Management, vol. 14, no. 3, pp. 160-167.
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Xu, X, Li, W, Xu, D & Tsang, IW 2016, 'Co-Labeling for Multi-View Weakly Labeled Learning', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38, no. 6, pp. 1113-1125.
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Xu, Z, Zhang, H, Hu, C, Mei, L, Xuan, J, Choo, K-KR, Sugumaran, V & Zhu, Y 2016, 'Building knowledge base of urban emergency events based on crowdsourcing of social media', Concurrency and Computation: Practice and Experience, vol. 28, no. 15, pp. 4038-4052.
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Xuan, J, Luo, X, Zhang, G, Lu, J & Xu, Z 2016, 'Uncertainty Analysis for the Keyword System of Web Events', IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, vol. 46, no. 6, pp. 829-842.
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Yaish, H, Goyal, M & Feuerlicht, G 2016, 'Elastic Extension Tables for Multi-tenant Cloud Apllications', International Journal of Computer Science and Information Security, vol. Vol. 14 No. 6, June 2016.
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Yan, Y, Nie, F, Li, W, Gao, C, Yang, Y & Xu, D 2016, 'Image Classification by Cross-Media Active Learning With Privileged Information', IEEE TRANSACTIONS ON MULTIMEDIA, vol. 18, no. 12, pp. 2494-2502.
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Yan, Z, Le, X & Wang, J 2016, 'Tube-Based Robust Model Predictive Control of Nonlinear Systems via Collective Neurodynamic Optimization', IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 63, no. 7, pp. 4377-4386.
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Yiteng Zhai, Yew-Soon Ong & Tsang, IW 2016, 'Making Trillion Correlations Feasible in Feature Grouping and Selection.', IEEE transactions on pattern analysis and machine intelligence, vol. 38, no. 12, pp. 2472-2486.
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Yu, SI, Xu, S, Ma, Z, Li, H, Hauptmann, AG, Chang, X, Yang, Y, Meng, D, Lin, M, Lan, Z, Gan, C, Xu, Z, Mao, Z, Li, X, Jiang, L & Du, X 2016, 'Strategies for searching video content with text queries or video examples', ITE Transactions on Media Technology and Applications, vol. 4, no. 3, pp. 227-238.
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Yu, Y-H, Chen, S-H, Chang, C-L, Lin, C-T, Hairston, WD & Mrozek, RA 2016, 'New Flexible Silicone-Based EEG Dry Sensor Material Compositions Exhibiting Improvements in Lifespan, Conductivity, and Reliability', SENSORS, vol. 16, no. 11.
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Yu, Y-H, Lu, S-W, Chuang, C-H, King, J-T, Chang, C-L, Chen, S-A, Chen, S-F & Lin, C-T 2016, 'An Inflatable and Wearable Wireless System for Making 32-Channel Electroencephalogram Measurements', IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 24, no. 7, pp. 806-813.
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Yuan, L, Qin, L, Lin, X, Chang, L & Zhang, W 2016, 'Diversified top-k clique search', The VLDB Journal, vol. 25, no. 2, pp. 171-196.
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Zhai, Y, Ong, YS & Tsang, I 2016, 'Making Trillion Correlations Feasible in Feature Grouping and Selection.', IEEE transactions on pattern analysis and machine intelligence, vol. 38, no. 12, pp. 2472-2486.
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Zhang, C, Zhang, Y, Zhang, W & Lin, X 2016, 'Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 28, no. 7, pp. 1706-1721.
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Zhang, G, Han, J & Lu, J 2016, 'Fuzzy Bi-level Decision-Making Techniques: A Survey', INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, vol. 9, pp. 25-34.
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Zhang, L, Li, X, Nie, L, Yang, Y & Xia, Y 2016, 'Weakly Supervised Human Fixations Prediction', IEEE Transactions on Cybernetics, vol. 46, no. 1, pp. 258-269.
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Zhang, L, Yang, Y, Nie, F & Shao, L 2016, 'Perception, Aesthetics, and Emotion in Multimedia Quality Modeling Introduction', IEEE MULTIMEDIA, vol. 23, no. 3, pp. 20-22.
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Zhang, P, He, J, Long, G, Huang, G & Zhang, C 2016, 'Towards anomalous diffusion sources detection in a large network', ACM Transactions on Internet Technology, vol. 16, no. 1.
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Zhang, Q, Zhang, P, Long, G, Ding, W, Zhang, C & Wu, X 2016, 'Online learning from trapezoidal data streams', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 10, pp. 2709-2723.
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Zhang, S, Qin, L, Zheng, Y & Cheng, H 2016, 'Effective and Efficient: Large-Scale Dynamic City Express', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 12, pp. 3203-3217.
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Zhang, W, Lin, X, Zhang, Y, Zhu, K & Zhu, G 2016, 'Efficient Probabilistic Supergraph Search', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 4, pp. 965-978.
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Zhang, Y, Robinson, DKR, Porter, AL, Zhu, D, Zhang, G & Lu, J 2016, 'Technology roadmapping for competitive technical intelligence', Technological Forecasting and Social Change, vol. 110, no. 2016, pp. 175-186.
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Zhang, Y, Shang, L, Huang, L, Porter, A, Zhu, D, Zhang, G & Lu, J 2016, 'A hybrid similarity measure method for patent portfolio analysis', Journal of Informetrics, vol. 10, no. 4, pp. 1108-1130.
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Zhang, Y, Wu, J, Cai, Z, Zhang, P & Chen, L 2016, 'Memetic Extreme Learning Machine', Pattern Recognition, vol. 58, pp. 135-148.
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Zhang, Y, Zhang, G, Chen, H, Porter, AL, Zhu, D & Lu, J 2016, 'Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research', Technological Forecasting and Social Change, vol. 105, pp. 179-191.
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Zheng, Y, Zhang, G, Han, J & Lu, J 2016, 'Pessimistic bilevel optimization model for risk-averse production-distribution planning', Information Sciences, vol. 372, pp. 677-689.
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Conferences

Abidi, S, Piccardi, M & Williams, M 2016, 'Static Action Recognition by Efficient Greedy Inference', Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, IEEE Winter Conference on Applications of Computer Vision, IEEE, Lake Placid, NY, USA, pp. 1-8.
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Adak, C, Chaudhuri, BB & Blumenstein, M 2016, 'Named Entity Recognition from Unstructured Handwritten Document Images', Proceedings - 12th IAPR International Workshop on Document Analysis Systems, DAS 2016, International Workshop on Document Analysis Systems, IEEE, Santorini, Greece, pp. 375-380.
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Adak, C, Chaudhuri, BB & Blumenstein, M 2016, 'Offline cursive Bengali word recognition using CNNs with a recurrent model', Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, International Conference on Frontiers in Handwriting Recognition, IEEE, Shenzhen, China, pp. 429-434.
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Adak, C, Chaudhuri, BB & Blumenstein, M 2016, 'Writer identification by training on one script but testing on another', Proceedings - International Conference on Pattern Recognition, International Conference on Pattern Recognition, Mexico, pp. 1153-1158.
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Afifovic, J, Chiarella, C, He, X & Wei, L 2016, 'High frequency trading and learning in a dynamic limit order market', The Inaugural Workshop on the Complex Information and Financial Market Dydnmics, Tianjin, China.

Ahadi, A, Behbood, V, Lister, R, Prior, J & Vihavainen, A 2016, 'Students’ Syntactic Mistakes in Writing Seven Different Types of SQL Queries and its Application to Predicting Students’ Success', Proceedings of the 47th ACM Technical Symposium on Computing Science Education, Special Interest Group in COmputer Science Education, ACM, Memphis, Tennessee, pp. 401-406.
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Ahadi, A, behbood, V, prior, J & Lister, R 2016, 'Students’ Semantic Mistakes in Writing Seven Different Types of SQL Queries', ITiCSE’16: Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, Annual Conference on Innovation and Technology in Computer Science Education, ACM, Peru.
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Alaei, A, Conte, D, Blumenstein, M & Raveaux, R 2016, 'Document Image Quality Assessment Based on Texture Similarity Index', Proceedings - 12th IAPR International Workshop on Document Analysis Systems, DAS 2016, International Workshop on Document Analysis Systems, IEEE, Santorini, Greece, pp. 132-137.
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Alaei, F, Alaei, A, Blumenstein, M & Pal, U 2016, 'A brief review of document image retrieval methods: Recent advances', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, CANADA, pp. 3500-3507.
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Alaei, F, Alaei, A, Pal, U & Blumenstein, M 2016, 'Document Image Retrieval Based on Texture Features: A Recognition-Free Approach', 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Digital Image Computing Techniques and Applications, IEEE, Gold Coast, Australia, pp. 1-7.
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Alaei, F, Alaei, A, Pal, U & Blumenstein, M 2016, 'Document Image Retrieval Based on Texture Features: A Recognition-Free Approach', 2016 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA), International Conference on Digital Image Computing - Techniques and Applications (DICTA), IEEE, Gold Coast, AUSTRALIA, pp. 456-462.

Alharbi, S & Naderpour, M 2016, 'E-commerce development risk evaluation using MCDM techniques', Proceedings of the Decision Support Systems VI - Addressing Sustainability and Societal Challenges (Lecture Notes in Business Information Processing), International Conference on Decision Support System Technology, Springer, Plymouth, UK, pp. 88-99.
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Alkalbani, AM & Hussain, FK 2016, 'A comparative study and future research directions in cloud service discovery', Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016, IEEE Conference on Industrial Electronics and Applications, IEEE, Dearborn, MI, United States, pp. 1049-1056.
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Alkalbani, AM, Ghamry, AM, Hussain, FK & Hussain, OK 2016, 'Harvesting Multiple Resources for Software as a Service Offers: A Big Data Study', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer, Kyoto, Japan, pp. 61-71.
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Alkalbani, AM, Ghamry, AM, Hussain, FK & Hussain, OK 2016, 'Predicting the sentiment of SaaS online reviews using supervised machine learning techniques', Proceedings of the International Joint Conference on Neural Networks 2016, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, CANADA, pp. 1547-1553.
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Alkalbani, AM, Ghamry, AM, Hussain, FK & Hussain, OK 2016, 'Sentiment analysis and classification for software as a service reviews', Proceedings - International Conference on Advanced Information Networking and Applications, AINA, International Conference on Advanced Information Networking and Applications (was ICOIN), IEEE, Crans-Montana, Switzerland, pp. 53-58.
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Antonacopoulos, A, Gatos, B, Blumenstein, M, Lladós, J & Lopresti, D 2016, 'Message from the General Chairs and Program Chairs', Proceedings - 12th IAPR International Workshop on Document Analysis Systems, DAS 2016, p. xi.
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Arifovic, J, Chiarella, C, He, X & Wei, L 2016, 'High frequency trading and learning in a dynamic limit order market', International Conference on Computing in Economics and Finance, Bordeaux.
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Arifovic, J, Chiarella, C, He, X & Wei, L 2016, 'High frequency trading and learning in a dynamic limit order market', Quantitative Methods in Finance, Sydney.

Bai, Y, Wang, H, Wu, J, Zhang, Y, Jiang, J & Long, G 2016, 'Evolutionary lazy learning for Naive Bayes classification', 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 3124-3129.
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Bi, F, Chang, L, Lin, X, Qin, L & Zhang, W 2016, 'Efficient subgraph matching by postponing Cartesian products', Proceedings of the ACM SIGMOD International Conference on Management of Data, ACM Special Interest Group on Management of Data Conference, Association of Computing Machinery ACM, San Francisco, California, United States, pp. 1199-1214.
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Braytee, A, Catchpoole, DR, Kennedy, PJ & Liu, W 2016, 'Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients', CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, ACM International Conference on Information and Knowledge Management, ACM, Indianapolis, Indiana, USA.
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Braytee, A, Liu, W & Kennedy, P 2016, 'A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data', Springer International Publishing, International Conference on Neural Information Processing, Springer International Publishing, Kyoto, Japan, pp. 78-86.
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Chakraborty, A & Blumenstein, M 2016, 'Marginal Noise Reduction in Historical Handwritten Documents - A Survey', Proceedings - 12th IAPR International Workshop on Document Analysis Systems, DAS 2016, International Workshop on Document Analysis Systems, IEEE, GREECE, pp. 323-328.
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Chakraborty, A & Blumenstein, M 2016, 'Preserving Text Content from Historical Handwritten Documents', Proceedings - 12th IAPR International Workshop on Document Analysis Systems, DAS 2016, International Workshop on Document Analysis Systems, IEEE, Santorini, Italy, pp. 329-334.
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Chang, CL, Huang, CS, Lu, SW & Lin, C 2016, 'Apply Artifact Rejection on Multi-Channel Dry EEG System under Motion'.

Chang, CL, Huang, CS, Lu, SW & Lin, C 2016, 'Real-Time Unsupervised Artifact Removal Algorithm Using Wearable Dry EEG System'.

Chang, L, Li, W, Lin, X, Qin, L & Zhang, W 2016, 'PSCAN: Fast and exact structural graph clustering', Proceedings of the 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, IEEE International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 253-264.
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Chang, X, Yang, Y, Long, G, Zhang, C & Hauptmann, AG 2016, 'Dynamic concept composition for zero-example event detection', Proceedings of 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Phoenix, Arizona, United States, pp. 3464-3470.
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Chang, X, Yu, YL, Yang, Y & Xing, EP 2016, 'They are not equally reliable: Semantic event search using differentiated concept classifiers', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Las Vegas, Nevada, United States, pp. 1884-1893.
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Chen, HT, Wei, LY, Hartmann, B & Agrawala, M 2016, 'Data-driven adaptive history for image editing', Proceedings - 20th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D 2016, ACM-SIGRAPH Interactive 3D Graphics, Association Computing Machinery, Redmond, Washington, United States, pp. 103-112.
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Chen, Q, Lan, C, Li, J, Chen, B, Wang, L & Zhang, C 2016, 'Depth-first search encoding of RNA substructures', Intelligent Computing Theories and Application, International Conference on Intelligent Computing (ICIC), Springer, Lanzhou, China, pp. 328-334.
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Das, A, Mondal, P, Pal, U, Ferrer, MA & Blumenstein, M 2016, 'Fast and efficent multimodal eye biometrics using projective dictionary pair learning', 2016 IEEE Congress on Evolutionary Computation, CEC 2016, IEEE Congress on Evolutionary Computation, IEEE, Vancouver, Canada, pp. 1402-1408.
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Das, A, Pal, U, Ferrer, MA & Blumenstein, M 2016, 'SSRBC 2016: Sclera Segmentation and Recognition Benchmarking Competition', 2016 International Conference on Biometrics, ICB 2016, International Conference on Biometrics (ICB), IEEE, Halmstad, Sweden.
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Davis, JJ, Kozma, R, Lin, C & Freeman, WJ 2016, 'Spatio-temporal EEG pattern extraction using high-density scalp arrays', Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN), IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, BC, Canada, pp. 889-896.
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Di, P & Sui, Y 2016, 'Accelerating dynamic data race detection using static thread interference analysis', Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, PMAM 2016, pp. 30-39.
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Do, QNT, Zhilin, A, Junior, CZP, Wang, G & Hussain, FK 2016, 'A network-based approach to detect spammer groups', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, BC, Canada, pp. 3642-3648.
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Du, X, Yin, H, Huang, Z, Yang, Y & Zhou, X 2016, 'Using detected visual objects to index video database', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Database Conference, Springer, Sydney, New South Wales, Australia, pp. 333-345.
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Fang, M, Yin, J, Zhu, X & Zhang, C 2016, 'TrGraph: Cross-network transfer learning via common signature subgraphs', 2016 IEEE 32nd International Conference on Data Engineering (ICDE) (2016), IEEE 32nd International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 1534-1535.
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Feng, X, Chang, L, Lin, X, Qin, L & Zhang, W 2016, 'Computing Connected Components with linear communication cost in pregel-like systems', 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, IEEE International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 85-96.
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Gao, L, Wu, J, Qiao, Z, Zhou, C, Yang, H & Hu, Y 2016, 'Collaborative Social Group Influence for Event Recommendation', CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, ACM International Conference on Information and Knowledge Management, ACM, Indianapolis, Indiana, USA, pp. 1941-1944.
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Gu, F, Zhang, G, Lu, J & Lin, CT 2016, 'Concept drift detection based on equal density estimation', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, Canada, pp. 24-30.
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Guo, Y, Zhu, J, Lu, H & Lei, G 2016, 'Design considerations of electric motors with soft magnetic composite cores', 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016, Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), IEEE, Hefei, China, pp. 3007-3011.
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Han, B, Tsang, IW & Chen, L 2016, 'On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent', Machine Learning and Knowledge Discovery in Databases - LNCS, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), Springer, Riva del Garda, Italy.
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Hao, P, Zhang, G & Lu, J 2016, 'Enhancing Cross Domain Recommendation with Domain Dependent Tags', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, CANADA, pp. 1266-1273.
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He, X, Li, K & Li, Y 2016, 'Asset allocation with time series momentum and reversal', Proceeding of China International Conference in Finance, China International Conference in Finance, CICF, Xiamen, China.
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He, X, Li, K & Shi, L 2016, 'A simple asset pricing model with social interaction and differences in opinion', International Conference on Applied Financial Economics, Shanghai, China.

Hu, R, Pan, S, Long, G, Zhu, X, Jiang, J & Zhang, C 2016, 'Co-clustering enterprise social networks', 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 107-114.
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Hussain, W, Hussain, FK & Hussain, OK 2016, 'Allocating optimized resources in the cloud by a viable SLA model', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, Canada.
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Hussain, W, Hussain, FK & Hussain, OK 2016, 'QoS prediction methods to avoid SLA violation in post-interaction time phase', 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), IEEE Conference on Industrial Electronics and Applications, IEEE, Hefei, China, pp. 32-37.
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Hussain, W, Hussain, FK & Omar Hussain 2016, 'SLA Management Framework to Avoid Violation in Cloud', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer International Publishing, Kyoto, Japan, pp. 309-316.
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Ikeda, M, Pop, F & Hussain, F 2016, 'Message from CISIS 2016 Program Co-Chairs', Proceedings - 2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2016, p. xviii.
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Ion, A, Frohnhofen, J, Wall, L, Kovacs, R, Alistar, M, Lindsay, J, Lopes, P, Chen, HT & Baudisch, P 2016, 'Metamaterial mechanisms', UIST 2016 - Proceedings of the 29th Annual Symposium on User Interface Software and Technology, ACM Symposium on User Interface Software and Technology, ACM, Tokyo, Japan, pp. 529-539.
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Kang, G, Li, J & Tao, D 2016, 'Shakeout: A New Regularized Deep Neural Network Training Scheme', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Phoenix, USA, pp. 1751-1757.
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Khare, V, Blumenstein, M & Lu, T 2016, 'A quad tree based method for blurred and non-blurred video text frames classification through quality metrics', Proceedings of the 2016 23rd International Conference on Pattern Recognition (ICPR), International Conference on Pattern Recognition, IEEE, Cancun, Mexico, pp. 4023-4028.
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Ko, LW, Komarov, SH, Liu, SH, Hsu, WC, König, P, Goeke, P, David Hairston, W, Lin, C & Jung, TP 2016, 'Investigation of brain activity patterns related to the effect of classroom fatigue'.

Ko, LW, Yang, BJ, Singanamalla, SKR, Lin, C, King, JT & Jung, TP 2016, 'A practical neurogaming design based on SSVEP brain computer interface'.

Lai, LB, Qin, L, Lin, XM, Zhang, Y, Chang, LJ & Yang, SY 2016, 'Scalable Distributed Subgraph Enumeration', Proceedings of the VLDB Endowment, International Conference on Very Large Databases, VLDB Endowment, Munich, Germany, pp. 217-228.
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Leong, TW & Johnston, B 2016, 'Co-design and robots: A case study of a robot dog for aging people', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Social Robotics (ICSR), Springer, Kansas City, Missouri, United States, pp. 702-711.
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Li, Q, Bian, W, Xu, Y, You, J & Tao, D 2016, 'Random Mixed Field Model for Mixed-Attribute Data Restoration', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona, USA, pp. 1244-1250.
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Li, Q, Qiao, M, Bian, W & Tao, D 2016, 'Conditional graphical Lasso for multi-label image classification', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Las Vegas, Nevada, United States, pp. 2977-2986.
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Li, RH, Qin, L, Yu, JX & Mao, R 2016, 'Efficient and progressive Group Steiner Tree search', Proceedings of the ACM SIGMOD International Conference on Management of Data, ACM Special Interest Group on Management of Data Conference, Association of Computing Machinery ACM, San Francisco, California, United States, pp. 91-106.
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Li, Z, Qin, L, Cheng, H, Zhang, X & Zhou, X 2016, 'TRIP: An interactive retrieving-inferring data imputation approach', 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, pp. 1462-1463.
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Lin, CT, Hsieh, TY, Liu, YT, Wu, SL & Lin, YY 2016, 'A Novel Mechanism to Fuse Various Sub-Aspect Brain-Computer Interface (BCI) Systems with PSO for Motor Imagery Task', Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, IEEE International Conference on Systems, Man and Cybernetics, IEEE, Kowloon, China, pp. 3223-3228.
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Liu, A, Zhang, G, Lu, J, Lu, N & Lin, CT 2016, 'An online competence-based concept drift detection algorithm', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Joint Conference on Artificial Intelligence, Springer, Hobart, TAS, Australia, pp. 416-428.
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Liu, B, Chen, L, Liu, C, Zhang, C & Qiu, W 2016, 'Mining co-locations from continuously distributed uncertain spatial data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics):Web Technologies and Applications 18th Asia-Pacific Web Conference, APWeb 2016, Web Technologies and Applications : Asia-Pacific Web Conference (APWeb), Springer, Suzhou, China, pp. 66-78.
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Liu, C & Chen, L 2016, 'Summarizing Uncertain Transaction Databases by Probabilistic Tiles', Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN), IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, pp. 4375-4382.
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Liu, W & Tsang, W 2016, 'Sparse Perceptron Decision Tree for Millions of Dimensions', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona USA, pp. 1881-1887.
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Liu, YT, Lin, YY, Wu, SL, Hsieh, TY & Lin, CT 2016, 'Assessment of Mental Fatigue: An EEG-Based Forecasting System for Driving Safety', Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, IEEE International Conference on Systems, Man and Cybernetics, IEEE, Kowloon, China, pp. 3233-3238.
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Liu, YT, Pal, NR, Wu, SL, Hsieh, TY & Lin, C 2016, 'Adaptive Subspace Sampling for Class Imbalance Processing', Proceedings of the 2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy), International Conference on Fuzzy Theory and Its Applications, IEEE, Taichung, Taiwan, pp. 1-5.
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Liu, YT, Wu, SL, Chou, KP, Lin, YY, Lu, J, Zhang, G, Chuang, CH, Lin, WC & Lin, CT 2016, 'A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, BC, Canada, pp. 2495-2500.
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Liu, YT, Wu, SL, Chou, KP, Lin, YY, Lu, J, Zhang, G, Lin, WC & Lin, CT 2016, 'Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, Canada, pp. 2488-2494.
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Lu, H, Zhang, K, Xiao, Y & Wang, C 2016, 'Hybrid model for short-term wind speed forecasting based on non-positive constraint combination theory', Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016, The 12th International Conference for Fuzzy Logic and Intelligent Technologies in Nuclear Science, Roubaix, France, pp. 240-245.
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Luo, M, Nie, F, Chang, X, Yang, Y, Hauptmann, A & Zheng, Q 2016, 'Avoiding optimal mean robust PCA/2DPCA with non-greedy ℓ1-norm maximization', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York City, New York, United States, pp. 1802-1808.
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Lyu, B, Qin, L, Lin, X, Chang, L & Yu, JX 2016, 'Scalable supergraph search in large graph databases', 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, IEEE International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 157-168.
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Mao, ZJ, Jung, TP, Lin, C & Huang, YF 2016, 'Predicting EEG Sample Size Required for Classification Calibration', Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience (LNCS), International Conference on Augmented Cognition, Springer, Toronto, Canada, pp. 57-68.
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Nascimben, M, King, JT & Lin, CT 2016, 'Resting Upper Alpha Can Predict Motor Imagery Performance?'.

Nascimben, M, Yu, Y-H, Lin, C-T, King, J-T, Singh, AK & Chuang, C 2016, 'Effect of a cognitive involving videogame on MI task', Proceedings of the 6th International Brain-Computer Interface Meeting, organized by the BCI Society, Verlag der TU Graz, Graz University of Technology, sponsored by g.tec medical engineering GmbH, pp. 175-175.
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Nguyen, TTS & Lu, H 2016, 'Domain ontology construction using web usage data', Proceedings of AI 2016: Advances in Artificial Intelligence (LNCS), Australasian Joint Conference on Artificial Intelligence, Springer, Hobart, Australia, pp. 338-344.
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Ojha, S & Williams, MA 2016, 'Ethically-Guided Emotional Responses for Social Robots: Should I Be Angry?', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Social Robotics (ICSR), SPRINGER-VERLAG BERLIN, Kansas City, USA.
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Pal, S, Alaei, A, Pal, U & Blumenstein, M 2016, 'Performance of an Off-Line Signature Verification Method Based on Texture Features on a Large Indic-Script Signature Dataset', Proceedings - 12th IAPR International Workshop on Document Analysis Systems, DAS 2016, International Workshop on Document Analysis Systems, IEEE, Santorini, Italy, pp. 72-77.
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Pan, P, Xu, Z, Yang, Y, Wu, F & Zhuang, Y 2016, 'Hierarchical recurrent neural encoder for video representation with application to captioning', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Seattle, WA, USA, pp. 1029-1038.
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Pan, S, Wu, J, Zhu, X, Zhang, C & Wang, Y 2016, 'Tri-party deep network representation', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York City, New York, United States, pp. 1895-1901.
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Pan, S, Wu, J, Zhu, X, Zhang, C & Yu, PS 2016, 'Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification', IEEE 32nd International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 1474-1475.
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Pang, G, Cao, L & Chen, L 2016, 'Outlier detection in complex categorical data by modelling the feature value couplings', Proceedings of the 25th International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence (IJCAI), AAAI Press, New York.
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Pang, G, Cao, L, Chen, L & Liu, H 2016, 'Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Barcelona.
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Peppas, P & Williams, MA 2016, 'Kinetic consistency and relevance in belief revision', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Logics in Artificial Intelligence, European Conference, Springer, Larnaca, Cyprus, pp. 401-414.
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Qiao, M, Bian, W, Da Xu, RY & Tao, D 2016, 'Diversified Hidden Markov Models for Sequential Labeling', 2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 32nd IEEE International Conference on Data Engineering (ICDE), IEEE, Helsinki, FINLAND, pp. 1512-+.
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Qin, Z, Wu, J, Hong, Y, Tian, Y & Chengqi, Z 2016, 'Unsupervised feature learning from time series', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, Palo Alto, California, United States, pp. 2322-2328.
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Ramezani, F, Naderpour, M & Lu, J 2016, 'A multi-objective optimization model for virtual machine mapping in cloud data centres', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, BC, Canada, pp. 1259-1265.
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Raza, SA, Clark, J & Williams, M-A 2016, 'On Designing Socially Acceptable Reward Shaping', International Conference on Social Robotics, Springer, Cham, pp. 860-869.
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Raza, SA, Johnston, B & Williams, M-A 2016, 'Reward from Demonstration in Interactive Reinforcement Learning', The Twenty-Ninth International Flairs Conference.
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Ren, G, Wen, S, Yan, Z, Hu, R, Zeng, Z & Cao, Y 2016, 'Power load forecasting based on support vector machine and particle swarm optimization', Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 2003-2008.
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Romat, H, Williams, M-A, Wang, X, Johnston, B, Bard, H & ACM 2016, 'Natural Human-Robot Interaction Using Social Cues', Proceedings of the 11th ACM/IEEE International Conference on Human Robot Interaction, ACM/IEEE International Conference on Human Robot Interaction (HRI), IEEE, Christchurch, New Zealand, pp. 503-504.
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Singh, A, Wang, Y-K, Chiu, C-Y, Yu, Y-H, Nascimben, M, King, J-T, Chuang, C-H, Chen, S-A, Ko, L-W, Pal, NR & others 2016, 'Attention in Complex Environment of Brain Computer Interface', Proceedings of the 6th International Brain-Computer Interface Meeting, organized by the BCI Society, Verlag der TU Graz, Graz University of Technology, sponsored by g.tec medical engineering GmbH, pp. 165-165.
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Song, K, Chen, L, Gao, W, Feng, S, Wang, D & Zhang, C 2016, 'PerSentiment: A Personalized Sentiment Classi cation System for Microblog Users', International World Wide Web Conference (WWW), Montreal.

Song, K, Gao, W, Chen, L, Feng, S, Wang, D & Zhang, C 2016, 'Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization', ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Pisa, Italy.

Sui, Y & Xue, J 2016, 'On-Demand Strong Update Analysis via Value-Flow Refinement', FSE'16: PROCEEDINGS OF THE 2016 24TH ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON FOUNDATIONS OF SOFTWARE ENGINEERING, 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE), ASSOC COMPUTING MACHINERY, Seattle, WA, pp. 460-473.
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Sui, Y & Xue, J 2016, 'SVF: Interprocedural Static Value-Flow Analysis in LLVM', PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON COMPILER CONSTRUCTION (CC 2016), 25th International Conference on Compiler Construction (CC), ASSOC COMPUTING MACHINERY, Barcelona, SPAIN, pp. 265-266.
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Sui, Y, Di, P & Xue, J 2016, 'Sparse Flow-Sensitive Pointer Analysis for Multithreaded Programs', PROCEEDINGS OF CGO 2016: THE 14TH INTERNATIONAL SYMPOSIUM ON CODE GENERATION AND OPTIMIZATION, 14th International Symposium on Code Generation and Optimization (CGO), ASSOC COMPUTING MACHINERY, Barcelona, SPAIN, pp. 160-170.
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Sui, Y, Fan, X, Zhou, H & Xue, J 2016, 'Loop-Oriented Array- and Field-Sensitive Pointer Analysis for Automatic SIMD Vectorization', ACM SIGPLAN NOTICES, ASSOC COMPUTING MACHINERY, pp. 41-51.
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Suwanwiwat, H, Pal, U & Blumenstein, M 2016, 'An Automatic Off-Line Short Answer Assessment System Using Novel Hybrid Features', 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Digital Image Computing Techniques and Applications, IEEE, Gold Coast, Queensland, Australia.
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Tan, M, Yan, Y, Wang, L, Hengel, A, Tsang, W & Shi, Q 2016, 'Learning Sparse Confidence-Weighted classifier on Very High Dimensional Data', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Phoenix, USA, pp. 2080-2086.
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Tao, D, yu, X & bian, W 2016, 'Scalable completion of nonnegative matrices with the separable structure', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, AAAI Press, Pheonix, Arizona, United States of America, pp. 2279-2285.
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Vitale, J, Williams, M-A & Johnston, B 2016, 'The face-space duality hypothesis: a computational model', Proceedings of the 38th Annual Conference of the Cognitive Science Society, Annual Conference of the Cognitive Science Society, Cognitive Science Society, Philadelphia, pp. 514-519.
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Wang, B, Gao, Y, Sun, C, Blumenstein, M & La Salle, J 2016, 'A Local Scale Selection Scheme for Multiscale Area Integral Invariants', 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Digital Image Computing Techniques and Applications, IEEE, Gold Coast, QLD, Australia.
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Wang, F, He, YB, Qu, J, Xie, QY, Lin, Q, Ni, XX, Chen, Y, Yu, RH, Lin, CT & Li, Y 2016, 'An Audiovisual BCI System for Assisting Clinical Communication Assessment in Patients with Disorders of Consciousness: A Case Study', Proceedings of the 2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Orlando, FL, USA, pp. 1536-1539.
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Wang, H, Wu, J, Zhou, C, Ji, Z & Wu, J 2016, 'Mining subcascade features for cascade outbreak prediction in big networks', Proceedings of the International Joint Conference on Neural Networks, pp. 3942-3949.
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Wang, J, Tsang, W & Gao, X 2016, 'Optimizing Multivariate Performance Measures from Multi-View Data', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona USA, pp. 2152-2158.
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Wang, S, Cheema, MA, Lin, X, Zhang, Y & Liu, D 2016, 'Efficiently computing reverse k furthest neighbors', 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, IEEE International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 1110-1121.
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Wang, S, Liu, W, Wu, J, Cao, L, Meng, Q & Kennedy, PJ 2016, 'Training deep neural networks on imbalanced data sets', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, Canada, pp. 4368-4374.
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Wang, W, Yin, H, Sadiq, S, Chen, L, Xie, M & Zhou, X 2016, 'SPORE: A Sequential Personalized Spatial Item Recommender System', Proceedings of the 2016 IEEE 32nd International Conference on Data Engineering (ICDE), IEEE International Conference on Data Engineering, IEEE, Helsinki, pp. 954-965.
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Wang, X, Chen, C & Zhang, Y 2016, 'EDMS: A system for efficient processing distance-aware influence maximization', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Database Conference, Springer, Sydney, Australia, pp. 462-466.
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Wang, X, Yang, S & Zhang, Y 2016, 'SKPS: Towards efficient processing of spatial-keyword publish/subscribe system', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Australasian Database Conference, Australasian Database Conference, Springer, Sydney, Australia, pp. 444-447.
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Wang, X, Zhang, Y, Zhang, W & Lin, X 2016, 'Distance-aware influence maximization in geo-social network', 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, IEEE International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 1-12.
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Wang, X, Zhang, Y, Zhang, W, Lin, X & Huang, Z 2016, 'SKYPE: Top-k spatial-keyword publish/subscribe over sliding window', Proceedings of the VLDB Endowment, International Conference on Very Large Databases, VLDB Endowment, Bangalore, pp. 588-599.
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Wang, Y, Wenjie, Z, Wu, L, Lin, X, Fang, M & Pan, S 2016, 'Iterative views agreement: An iterative low-rank based structured optimization method to multi-view spectral clustering', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI, New York City, USA, pp. 2153-2159.
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Wei, CS, Lin, YP, Wang, YT, Jung, TP, Bigdely-Shamlo, N & Lin, CT 2016, 'Selective Transfer Learning for EEG-Based Drowsiness Detection', Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015, IEEE International Conference on Systems, Man and Cybernetics, IEEE, Kowloon, China, pp. 3229-3232.
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Wei, CS, Lin, YP, Wang, YT, Lin, C & Jung, TP 2016, 'Transfer Learning with Large-Scale Data in Brain-Computer Interfaces', Proceedings of the 2016 IEEE 38th Annual International Conference of the Engineering in Medicine and Biology Society (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Orlando, FL, USA.
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Wen, D, Qin, L, Zhang, Y, Lin, X & Yu, JX 2016, 'I/O efficient Core Graph Decomposition at web scale.', ICDE, IEEE Computer Society, pp. 133-144.
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Wen, D, Qin, L, Zhang, Y, Lin, X & Yu, JX 2016, 'I/O Efficient Core Graph Decomposition at Web Scale.', CoRR.
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Williams, MA 2016, 'Decision-theoretic human-robot interaction: Designing reasonable and rational robot behavior', Social Robotics (LNCS), International Conference on Social Robotics (ICSR), Springer, Kansas City, USA, pp. 72-82.
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Wu, D, Hussain, F, Zhang, G, Lu, J, Unwin, J & Rance, G 2016, 'A cloud-based comprehensive health information system framework', Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016, pp. 612-617.
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Wu, D, Lawhern, V, Gordon, S, Lance, B & Lin, C 2016, 'Agreement Rate Initialized Maximum Likelihood Estimator (ARIMLE) for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface', Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE International Conference on Systems, Man and Cybernetics, IEEE, Budapest, Hungary, pp. 724-729.
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Wu, D, Lawhern, V, Gordon, S, Lance, B & Lin, C 2016, 'Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression', Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE International Conference on Systems, Man and Cybernetics, IEEE, Budapest, Hungary, pp. 730-736.
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Wu, D, Lawhern, V, Gordon, S, Lance, B & Lin, C 2016, 'Spectral Meta-Learner for Regression (SMLR) Model Aggregation: Towards Calibrationless Brain-Computer Interface', Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE International Conference on Systems, Man and Cybernetics, IEEE, Budapest, Hungary, pp. 743-749.
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Wu, J, Gao, L, Yang, H, Qiao, Z, Zhou, C & Yue, H 2016, 'Semi-Data-Driven Network Coarsening', e Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), International Joint Conference on Artificial Intelligence, AAAI Press, New York.
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Wu, J, Lu, W, Zhou, C, Liu, C, Gao, L & Hu, Y 2016, 'A recursive method for big network influence estimation', Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, 24 Jul 2016 - 29 Jul 2016., IEEE International Joint Conference on Neural Networks, IEEE Xplore, Vancouver, Canada, pp. 4709-4714.
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Wu, J, Pan, S, Zhang, P & Zhu, X 2016, 'Direct discriminative bag mapping for multi-instance learning', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Association for the Advancement of Artificial Intelligence Symposium (AAAI), Association for Advancement of Artificial Intelligence, Phoenix, Arizona, United States, pp. 4274-4275.
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Wu, W, Li, B, Chen, L & Zhang, C 2016, 'Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash', Proceedings of the 2016 IEEE 16th International Conference on Data Mining, IEEE International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 1287-1292.
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Wu, W, Li, B, Chen, L & Zhang, C 2016, 'Cross-view feature hashing for image retrieval', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Auckland, New Zealand, pp. 203-214.
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Xiong, W, Du, B, Zhang, L, Hu, R, Bian, W, Shen, J & Tao, D 2015, 'R2FP: Rich and robust feature pooling for mining visual data', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Atlantic City, NJ, pp. 469-478.
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Xu, J, Shivakumara, P, Lu, T, Tan, CL & Blumenstein, M 2015, 'Text detection in born-digital images by mass estimation', Proceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015, IAPR Asian Conference on Pattern Recognition (ACPR), IEEE, Kuala Lumpur, Malaysia, pp. 690-694.
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Xue, S, Lu, J, Wu, J, Zhang, G & Xiong, L 2016, 'Multi-instance graphical transfer clustering for traffic data learning', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, Canada, pp. 4390-4395.
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Yan, H, Sui, Y, Chen, S & Xue, J 2016, 'Automated memory leak fixing on value-flow slices for C programs', Proceedings of the ACM Symposium on Applied Computing, pp. 1386-1393.
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Yan, Y, Xu, Z, Tsang, W, Long, G & Yang, Y 2016, 'Robust Semi-supervised Learning through Label Aggregation', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Phoenix, USA, pp. 2244-2250.
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Yang, J, Zhang, Y, Zhang, W & Lin, X 2016, 'Influence based cost optimization on user preference', 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, IEEE International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 709-720.
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Yang, Y, Gan, C, Lin, M, de Molo, G & Hauptmann, AG 2016, 'Concepts not alone: Exploring pairwise relationships for zero-shot video activity recognition', Website Proceedings of 2016 AAAI Conference on Artificial Intelligence, AAAI, AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona, pp. 3487-3493.
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Yang, Y, Gan, C, Yao, T, Yang, K & Mei, T 2016, 'You lead, we exceed: Labor-free video concept learning by jointly exploiting web videos and images', Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Las Vegas, pp. 923-932.
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Ye, L, Cao, K, Guo, J, Huang, X, Beadle, P, Argha, A, Piccardi, M, Zhang, G & Su, SW 2016, 'Inertial sensor based post fall analysis for false alarming reduction', Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, IASTED Telehealth and Assistive Technology, Acta Press, Zurich, Switzerland, pp. 36-43.
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Yisen, W, Qingtao, T, Xia, ST, Wu, J & Zhu, X 2016, 'Bernoulli random forests: Closing the gap between theoretical consistency and empirical soundness', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York City, New York, United States, pp. 2167-2173.
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Yuan, L, Qin, L, Lin, X, Chang, L & Zhang, W 2016, 'I/O efficient ECC graph decomposition via graph reduction', Proceedings of the 42nd International Conference on Very Large Data Bases, International Conference on Very Large Databases, VLDB Endowment, New Delhi, India, pp. 516-527.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2016, 'Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks', CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, ACM International Conference on Information and Knowledge Management, ACM, Indianapolis, Indiana, USA, pp. 1563-1572.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2016, 'Homophily, Structure, and Content Augmented Network Representation Learning', Proceedings of the IEEE 16th International Conference on Data Mining, IEEE International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 609-618.
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Zhang, H, Zhu, Y, Qin, L, Cheng, H & Yu, JX 2016, 'Efficient triangle listing for billion-scale graphs', Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016, IEEE International Conference on Big Data (Big Data), IEEE, Washington, DC, USA, pp. 813-822.
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Zhang, Q, Wu, D, Zhang, G & Lu, J 2016, 'Fuzzy user-interest drift detection based recommender systems', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, Canada, pp. 1274-1281.
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Zhang, Q, Wu, J, Yang, H, Lu, W, Long, G & Zhang, C 2016, 'Global and local influence-based social recommendation', International Conference on Information and Knowledge Management, Proceedings, ACM International Conference on Information and Knowledge Management, ACM, Indianapolis, USA, pp. 1917-1920.
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Zhang, Q, Wu, J, Zhang, P, Long, G, Tsang, IW & Zhang, C 2016, 'Inferring latent network from cascade data for dynamic social recommendation', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 669-678.
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Zhang, Q, Zhang, L, Du, B, Zheng, W, Bian, W & Tao, D 2015, 'MMFE: Multitask multiview feature embedding', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Atlantic City, NJ, pp. 1105-1110.
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Zhang, Q, Zhang, P, Long, G, Ding, W, Zhang, C & Wu, X 2015, 'Towards mining trapezoidal data streams', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Atlantic City, New Jersey, United States, pp. 1111-1116.
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Zhang, Q, Zhang, Q, Long, G, Zhang, P & Zhang, C 2016, 'Exploring heterogeneous product networks for discovering collective marketing hyping behavior', Advances in Knowledge Discovery and Data Mining - LNCS, Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Auckland, New Zealand, pp. 40-51.
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Zhang, T, Gu, M, Zhang, G & Lu, J 2016, 'A fast load pattern extraction approach based on dimension reduction and sampling', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, BC, Canada, pp. 1253-1258.
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Zhang, W, Chen, T & Tan, C 2016, 'Demo: A safe low-cost HMD for underwater VR experiences', Proceeding SA '16 SIGGRAPH ASIA 2016 Mobile Graphics and Interactive Applications, International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia, ACM, Macao.
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Zhang, W, Lin, X, Zhang, Y, Zhu, K & Zhu, G 2016, 'Efficient Probabilistic Supergraph Search', 2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 32nd IEEE International Conference on Data Engineering (ICDE), IEEE, Helsinki, FINLAND, pp. 1542-1543.
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Zhang, Y, Wu, J, Zhou, C, Zhang, P & Cai, Z 2016, 'Multiple-instance learning with evolutionary instance selection', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Database Systems for Advanced Applications, Springer, USA, pp. 229-241.
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Zhang, Z, Huang, K, Tan, T, Yang, P & Li, J 2016, 'ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering', Proceedings for the Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, USA, pp. 752-760.
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Zhou, C, Lu, W, Zhang, P, Hu, Y, Guo, L & Wu, J 2016, 'On the minimum differentially resolving set problem for diffusion source inference in networks', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, AAAI, Arizona, Unites States, pp. 79-85.
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Zhou, J, Pan, S, Tsang, W & Ho, S 2016, 'Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona USA, pp. 2400-2406.
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Zhou, J, Xu, X, Pan, S, Tsang, W, Qin, Z & Goh, R 2016, 'Transfer Hashing with Privileged Information', Proceedings of 25th International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI, New York, USA, pp. 2414-2420.
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Zhu, F, Yang, C & Zhang, G 2016, 'SAO-BASED TOPIC MODELING FOR COMPETITIVE TECHNICAL INTELLIGENCE: A CASE STUDY IN GRAPHENE', Proceedings of the 12th International FLINS Conference (FLINS 2016).
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Ziaee Nejad, M, Lu, Pooyan Asgari, DPAIDGFM & Behbood 2016, 'THE EFFECT OF GOOGLE DRIVE DISTANCE AND DURATION IN RESIDENTIAL PROPERTY IN SYDNEY,AUSTRALIA', International Fuzzy Logic and Intelligent technologies in Nuclear Science Conference, FRANCE.
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Zuo, H, Zhang, G, Behbood, V, Lu, J, Pedrycz, W & Zhang, T 2016, 'FUZZY TRANSFER LEARNING IN DATA-SHORTAGE AND RAPIDLY CHANGING ENVIRONMENTS', UNCERTAINTY MODELLING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 12th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), WORLD SCIENTIFIC PUBL CO PTE LTD, Roubaix, FRANCE, pp. 175-180.

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Aliyev, N & He, X 2016, 'Toward a general model of financial markets', SSRN.

Aliyev, N & He, X-Z 2016, 'Toward a General Model of Financial Markets'.
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Arifovic, J, Chiarella, C, He, X & Wei, L 2016, 'High Frequency Trading and Learning'.

Chiarella, C, Arifovic, J, He, X & Wei, L 2016, 'High frequency trading and learning', SSRN.

Hauptmann, AG, Yang, Y & Zheng, L 2016, 'Person Re-identification: Past, Present and Future'.
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Jay, B 2016, 'LamSF repository of proofs in Coq'.

Jay, B 2016, 'Typed-LamSF repository of proofs in Coq'.

Laursen, LF, Chen, H-T, Silva, P, Suehiro, L & Igarashi, T 2016, 'TapDrag: An Alternative Dragging Technique on Medium-Sized MultiTouch Displays Reducing Skin Irritation and Arm Fatigue'.
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Li, W, Zhang, Y, Sun, Y, Wang, W, Zhang, W & Lin, X 2016, 'Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)'.
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Wang, X & Williams, M-A 2016, 'PyRIDE: An Interactive Development Environment for PR2 Robot'.
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