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Publications

Books

Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, Preface.

Chapters

Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Closing the Loop: Placing Ontology Usage Analysis in the Ontology Development and Deployment Lifecycle' in Studies in Computational Intelligence, pp. 23-47.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Evaluation of U Ontology' in Studies in Computational Intelligence, pp. 243-268.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Identification Phase: Ontology Usage Network Analysis Framework (OUN-AF)' in Studies in Computational Intelligence, pp. 63-101.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Investigation Phase: Empirical Analysis of Domain Ontology Usage (EMP-AF)' in Studies in Computational Intelligence, pp. 103-140.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Investigation Phase: Quantitative Analysis of Domain Ontology Usage (QUA-AF)' in Studies in Computational Intelligence, pp. 141-169.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Measuring and Analysing the Use of Ontologies A Semantic Framework for Measuring Ontology Usage' in Studies in Computational Intelligence, pp. 3-26.

Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Motivation' in Studies in Computational Intelligence, pp. 1-21.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'New Research Directions' in Studies in Computational Intelligence, pp. 269-271.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Ontology Usage Analysis Framework (OUSAF)' in Studies in Computational Intelligence, pp. 49-62.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Representation Phase: Ontology Usage Ontology (U Ontology)' in Studies in Computational Intelligence, pp. 171-203.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Utilization Phase: Utilization of OUSAF' in Studies in Computational Intelligence, pp. 205-242.
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Davidson, P.M., Beaman, A. & DiGiacomo, M. 2018, 'Case Study: A Chinese Immigrant Seeks Health Care in Australia' in Douglas, M., Pacquiao, D. & Purnell, L. (eds), Global Applications of Culturally Competent Health Care: Guidelines for Practice, Springer International Publishing, Germany, pp. 381-386.
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Dieci, R. & He, X.T. 2018, 'Heterogeneous Agent Models in Finance' in Hommes, C. & LeBaron, B. (eds), Handbook of Computational Economics, Elsevier, pp. 257-328.
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Song, K., Feng, S., Gao, W., Wang, D., Chen, L. & Zhang, C. 2018, 'Build emotion lexicon from microblogs by combining effects of seed words and emoticons in a heterogeneous graph' in Social Media Content Analysis: Natural Language Processing and Beyond, World Scientific, Singapore, pp. 171-195.
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Journal articles

Alam, M., Jan, M.A., Shu, L., He, X. & Chen, Y. 2018, 'Editorial: Current and Future Trends in Wireless Communications Protocols and Technologies', Mobile Networks and Applications, vol. 23, no. 3, pp. 377-381.
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Alam, M., Rayes, A., He, X., Atiquzzaman, M., Lloret, J. & Tsang, K.F. 2018, 'Guest Editorial Introduction to the Special Issue on Dependable Wireless Vehicular Communications for Intelligent Transportation Systems (ITS)', IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 3, pp. 949-952.
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Aldebei, K.W., He, X., Jia, W. & Weichang Yeh 2018, 'SUDMAD: Sequential and unsupervised decomposition of a multi-author document based on a hidden markov model', Journal of the Association for Information Science and Technology, vol. 69, no. 2, pp. 201-214.
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Alshehri, M.D., Hussain, F. & Hussain, O. 2018, 'Clustering-Driven Intelligent Trust Management Methodologyfor the Internet of Things (CITM-IoT)', Mobile Networks and Applications, vol. 23, no. 3, pp. 419-431.
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Anshar, M. & Williams, M.A. 2018, 'Evolving robot empathy towards humans with motor disabilities through artificial pain generation', AIMS Neuroscience, vol. 5, no. 1, pp. 56-73.
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Bargi, A., Xu, Y.D. & Piccardi, M. 2018, 'AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-16.
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Beck, D., Thoms, J.A.I., Palu, C., Herold, T., Shah, A., Olivier, J., Boelen, L., Huang, Y., Chacon, D., Brown, A., Babic, M., Hahn, C., Perugini, M., Zhou, X., Huntly, B.J., Schwarzer, A., Klusmann, J.-.H., Berdel, W.E., Wörmann, B., Büchner, T., Hiddemann, W., Bohlander, S.K., To, L.B., Scott, H.S., Lewis, I.D., D'Andrea, R.J., Wong, J.W.H. & Pimanda, J.E. 2018, 'A four-gene LincRNA expression signature predicts risk in multiple cohorts of acute myeloid leukemia patients.', Leukemia, vol. 32, no. 2, pp. 263-272.
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Cao, X., Qiu, B. & Xu, G. 2018, 'BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data', Pattern Analysis and Applications, pp. 1-13.
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Chi, L., Li, B., Zhu, X., Pan, S. & Chen, L. 2018, 'Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.', IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1591-1604.
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Chomsiri, T., He, X.S., Nanda, P. & Tan, Z. 2018, 'Hybrid Tree-rule Firewall for High Speed Data Transmission', IEEE Transactions on Cloud Computing.
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Chotipant, S., Hussain, F.K. & Hussain, O.K. 2018, 'SERNOTATE: An automated approach for business service description annotation for efficient service retrieval and composition', Concurrency and Computation: Practice and Experience, vol. 30, no. 1.
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Cui, L., Wu, J., Pi, D., Zhang, P. & Kennedy, P. 2018, 'Dual Implicit Mining-Based Latent Friend Recommendation', IEEE Transactions on Systems, Man, and Cybernetics: Systems.
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Dai, M., Cheng, S. & He, X.S. 2018, 'Hybrid generative–discriminative hash tracking with spatio-temporal contextual cues', Neural Computing and Applications, vol. 29, no. 2, pp. 389-399.
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Dai, M., Cheng, S., He, X. & Wang, D. 2018, 'Object tracking in the presence of shaking motions', Neural Computing and Applications, pp. 1-18.
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Deng, C., Liu, X., Li, C. & Tao, D. 2018, 'Active multi-kernel domain adaptation for hyperspectral image classification', Pattern Recognition.
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Deng, Z., Chen, J., Zhang, T., Cao, L. & Wang, S. 2018, 'Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models', Information Sciences, vol. 436-437, pp. 302-319.
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Ding, C. & Tao, D. 2018, 'Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 4, pp. 1002-1014.
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Dong, X., Dong, J., Zhou, H., Sun, J. & Tao, D. 2018, 'Automatic Chinese Postal Address Block Location Using Proximity Descriptors and Cooperative Profit Random Forests', IEEE Transactions on Industrial Electronics, vol. 65, no. 5, pp. 4401-4412.
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Du, B., Tang, X., Wang, Z., Zhang, L. & Tao, D. 2018, 'Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion', IEEE Transactions on Cybernetics.
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Fan, M., Zhang, X., Du, L., Chen, L. & Tao, D. 2018, 'Semi-Supervised Learning Through Label Propagation on Geodesics', IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1486-1499.
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Feng, X.I.A.N.G., Wan, W., Richard Yi Da Xu, Chen, H., Li, P. & Sánchez, J.A. 2018, 'A perceptual quality metric for 3D triangle meshes based on spatial pooling', Frontiers of Computer Science.
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Fu, Q., Luo, Y., Wen, Y., Tao, D., Li, Y. & Duan, L. 2018, 'Towards Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach', IEEE Transactions on Multimedia.
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Gong, C., Liu, T., Tang, Y., Yang, J., Yang, J. & Tao, D. 2018, 'A Regularization Approach for Instance-Based Superset Label Learning.', IEEE Transactions on Cybernetics, vol. 48, no. 3, pp. 967-978.
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Gong, C., Tao, D., Chang, X. & Yang, J. 2018, 'Ensemble Teaching for Hybrid Label Propagation', IEEE Transactions on Cybernetics.
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Gu, K., Tao, D., Qiao, J.F. & Lin, W. 2018, 'Learning a No-Reference Quality Assessment Model of Enhanced Images with Big Data', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 1301-1313.
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Gu, Y., Gu, M., Long, Y., Xu, G., Yang, Z., Zhou, J. & Qu, W. 2018, 'An enhanced short text categorization model with deep abundant representation', World Wide Web, pp. 1-15.
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Guan, N., Liu, T., Zhang, Y., Tao, D. & Davis, L.S. 2018, 'Truncated Cauchy Non-negative Matrix Factorization for Robust Subspace Learning', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Gui, J., Liu, T., Sun, Z., Tao, D. & Tan, T. 2018, 'Fast Supervised Discrete Hashing', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 2, pp. 490-496.
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Guo, F., Wang, W., Shen, J., Shao, L., Yang, J., Tao, D. & Tang, Y.Y. 2018, 'Video Saliency Detection Using Object Proposals', IEEE Transactions on Cybernetics.
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Guo, K., Liu, L., Xu, X., Xu, D. & Tao, D. 2018, 'GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy', IEEE Transactions on Neural Networks and Learning Systems.
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Guo, T., Pan, S., Zhu, X. & Zhang, C. 2018, 'CFOND: Consensus Factorization for Co-Clustering Networked Data', IEEE Transactions on Knowledge and Data Engineering.
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Han, B., Tsang, I.W., Chen, L., Yu, C.P. & Fung, S.F. 2018, 'Progressive Stochastic Learning for Noisy Labels', IEEE Transactions on Neural Networks and Learning Systems.
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Hao, S., Shi, C., Niu, Z. & Cao, L. 2018, 'Concept coupling learning for improving concept lattice-based document retrieval', Engineering Applications of Artificial Intelligence, vol. 69, pp. 65-75.
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Hayes, C.J., Jackson, D., Davidson, P.M., Daly, J. & Power, T. 2018, 'Pondering practice: Enhancing the art of reflection', Journal of Clinical Nursing.
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He, X., He, Z. & Zhu, X. 2018, 'Editorial Notes', Economic Modelling.
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He, X.-.Z., Li, K. & Wang, C. 2018, 'Time-varying economic dominance in financial markets: A bistable dynamics approach.', Chaos (Woodbury, N.Y.), vol. 28, no. 5, p. 055903.
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He, X.Z., Li, K. & Li, Y. 2018, 'Asset allocation with time series momentum and reversal', Journal of Economic Dynamics and Control, vol. 91, pp. 441-457.
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Ho, N., Peng, H., Mayoh, C., Liu, P.Y., Atmadibrata, B., Marshall, G.M., Li, J. & Liu, T. 2018, 'Delineation of the frequency and boundary of chromosomal copy number variations in paediatric neuroblastoma.', Cell cycle (Georgetown, Tex.), vol. 17, no. 6, pp. 749-758.
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Hua, J., Huang, M. & Wang, G. 2018, 'Graph Layout Performance Comparisons of Force-directed Algorithms', International Journal of Performability Engineering, vol. 14, no. 1, pp. 67-76.
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Hua, J., Huang, M., Zreika, M. & Wang, G. 2018, 'Applying Data Visualization Techniques for Stock Relationship Analysis', Filomat, vol. 32, no. 4.

Huang, Y., Cao, L., Zhang, J., Pan, L. & Liu, Y. 2018, 'Exploring feature coupling and model coupling for image source identification', IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 3108-3121.
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Huque, M.H., Anderson, C., Walton, R., Woolford, S. & Ryan, L. 2018, 'Smooth individual level covariates adjustment in disease mapping.', Biometrical journal. Biometrische Zeitschrift, vol. 60, no. 3, pp. 597-615.
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Hussain, W., Hussain, F.K., Hussain, O., Bagia, R. & Chang, E. 2018, 'Risk-based framework for SLA violation abatement from the cloud service provider’s perspective', The Computer Journal.
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Jan, M.A., Nanda, He, X.S. & Liu, R.P. 2018, 'A Sybil Attack Detection Scheme for a Forest Wildfire Monitoring Application', Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, vol. 80, pp. 613-626.
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Jan, M.A., Tan, Z., He, X. & Ni, W. 2018, 'Moving towards highly reliable and effective sensor networks', Ad-Hoc and Sensor Wireless Networks, vol. 40, no. 3-4, pp. 163-168.

Ji, K., Chen, Z., Sun, R., Ma, K., Yuan, Z. & Xu, G. 2018, 'GIST: A generative model with individual and subgroup-based topics for group recommendation', Expert Systems with Applications, vol. 94, pp. 81-93.
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Jian, S., Cao, L., Lu, K. & Gao, H. 2018, 'Unsupervised Coupled Metric Similarity for Non-IID Categorical Data', IEEE Transactions on Knowledge and Data Engineering.
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Kang, G., Li, J. & Tao, D. 2018, 'Shakeout: A New Approach to Regularized Deep Neural Network Training', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, pp. 1245-1258.
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Kusakunniran, W., Wu, Q., Ritthipravat, P. & Zhang, J. 2018, 'Hard exudates segmentation based on learned initial seeds and iterative graph cut.', Computer methods and programs in biomedicine, vol. 158, pp. 173-183.
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Lassetter, J.H., Macintosh, C.I., Williams, M., Driessnack, M., Ray, G. & Wisco, J.J. 2018, 'Psychometric testing of the healthy eating and physical activity self-efficacy questionnaire and the healthy eating and physical activity behavior recall questionnaire for children', Journal for Specialists in Pediatric Nursing, vol. 23, no. 2.
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Li, L., Liu, Z. & Zhang, J. 2018, 'Unsupervised image co-segmentation via guidance of simple images', Neurocomputing, vol. 275, pp. 1650-1661.
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Li, X., Liu, K., Dong, Y. & Tao, D. 2018, 'Patch Alignment Manifold Matting', IEEE Transactions on Neural Networks and Learning Systems.
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Li, X., Lu, Q., Dong, Y. & Tao, D. 2018, 'SCE: A Manifold Regularized Set-Covering Method for Data Partitioning', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1760-1773.
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Li, X., Zhao, L., Ji, W., Wu, Y., Wu, F., Yang, M.H., Tao, D. & Reid, I. 2018, 'Multi-Task Structure-aware Context Modeling for Robust Keypoint-based Object Tracking', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Li, Y., Tian, X., Liu, T. & Tao, D. 2018, 'On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1975-1985.
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Li, Z., Nie, F., Chang, X., Yang, Y., Zhang, C. & Sebe, N. 2018, 'Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features', IEEE Transactions on Neural Networks and Learning Systems.
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Lian, D., Zheng, K., Ge, Y., Cao, L., Chen, E. & Xie, X. 2018, 'GeoMF++: Scalable location recommendation via joint geographical modeling and matrix factorization', ACM Transactions on Information Systems, vol. 36, no. 3.
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Liu, F., Gong, C., Huang, X., Zhou, T., Yang, J. & Tao, D. 2018, 'Robust Visual Tracking Revisited: From Correlation Filter to Template Matching', IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2777-2790.
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Liu, M., Xu, C., Luo, Y., Xua, C., Wen, Y. & Tao, D. 2018, 'Cost-Sensitive Feature Selection by Optimizing F-measures', IEEE Transactions on Image Processing, vol. 27, no. 3, pp. 1323-1333.
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Liu, Q., Ghosh, S., Li, J., Wong, L. & Ramamohanarao, K. 2018, 'Discovering pan-correlation patterns from time course data sets by efficient mining algorithms', Computing, vol. 100, no. 4, pp. 421-437.
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Liu, Q., Wu, R., Chen, E., Xu, G., Su, Y., Chen, Z. & Hu, G. 2018, 'Fuzzy Cognitive Diagnosis for Modelling Examinee Performance', ACM Transactions on Intelligent Systems and Technology, vol. 9, no. 4, pp. 1-26.
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Liu, Y., Lan, C., Blumenstein, M. & Li, J. 2018, 'Bi-level error correction for PacBio long reads', IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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Luo, Y., Wen, Y. & Tao, D. 2018, 'Heterogeneous Multitask Metric Learning Across Multiple Domains', IEEE Transactions on Neural Networks and Learning Systems.
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Luo, Y., Wen, Y., Liu, T. & Tao, D. 2018, 'Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Maneze, D., Ramjan, L., DiGiacomo, M., Everett, B., Davidson, P.M. & Salamonson, Y. 2018, 'Negotiating health and chronic illness in Filipino-Australians: A qualitative study with implications for health promotion', Ethnicity and Health, pp. 1-18.
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Manzoor, M., Hussain, W., Sohaib, O., Hussain, F.K. & Alkhalaf, S. 2018, 'Methodological investigation for enhancing the usability of university websites', Journal of Ambient Intelligence and Humanized Computing, pp. 1-19.
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McDonagh, J., Martin, L., Ferguson, C., Jha, S., Macdonald, P., Davidson, P. & Newton, P. 2018, 'Frailty assessment instruments in heart failure: a systematic review.', European Journal of Cardiovascular Nursing.
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Mei, T., Li, L., Tian, X., Tao, D. & Ngo, C.W. 2018, 'PageSense: Toward Stylewise Contextual Advertising via Visual Analysis of Web Pages', IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 1, pp. 254-266.
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Meng, F., Rui, X., Wang, Z., Xing, Y. & Cao, L. 2018, 'Coupled node similarity learning for community detection in attributed networks', Entropy, vol. 20, no. 6.
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Nawaz, F., Janjua, N.K., Hussain, O.K., Hussain, F.K., Chang, E. & Saberi, M. 2018, 'Event-driven approach for predictive and proactive management of SLA violations in the Cloud of Things', Future Generation Computer Systems, vol. 84, pp. 78-97.
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Nguyen, Q., Arness, D., Sanderson, C., Simoff, S. & Huang, M. 2018, 'Enabling Effective Tree Exploration Using Visual Cues', Journal of Visual Languages and Computing, vol. 47, pp. 44-61.
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Ojha, S., Williams, M.A. & Johnston, B. 2018, 'The Essence of Ethical Reasoning in Robot-Emotion Processing', International Journal of Social Robotics, vol. 10, no. 2, pp. 211-223.
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Patel, O.P., Tiwari, A., Chaudhary, R., Nuthalapati, S.V., Bharill, N., Prasad, M., Hussain, F.K. & Hussain, O.K. 2018, 'Enhanced quantum-based neural network learning and its application to signature verification', Soft Computing, pp. 1-14.
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Peng, H., Zheng, Y., Blumenstein, M., Tao, D. & Li, J. 2018, 'CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling.', Bioinformatics (Oxford, England).
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Pham, P. & Huang, M. 2018, 'Quantitative Approach on Parallel Coordinates andScatter Plots for Multidimensional-Data Visual Analytics', Journal of computers, vol. 13, no. 4, pp. 407-416.
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Prichard, R., Hayward, C., Davidson, P., Newton, P., Goodall, S. & Kershaw, L. 2018, 'Left ventricular device implantation impacts on hospitalisation rates, length of stay and out of hospital time', Heart, Lung and Circulation, vol. 27, no. 6, pp. 708-715.
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Qiao, M., Yu, J., Bian, W., Li, Q. & Tao, D. 2018, 'Adapting Stochastic Block Models to Power-Law Degree Distributions', IEEE Transactions on Cybernetics.
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Rao, A., Newton, P., DiGiacomo, M., Hickman, L., Hwang, C. & Davidson, P. 2018, 'Optimal gender specific strategies for the secondary prevention of cardiovascular disease in women: a systematic review', Journal of Cardiopulmonary Rehabilitation and Prevention.

Schönbach, C., Li, J., Ma, L., Horton, P., Sjaugi, M.F. & Ranganathan, S. 2018, 'A bioinformatics potpourri.', BMC genomics, vol. 19, no. Suppl 1, p. 920.
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Shen, J., Liang, Z., Liu, J., Sun, H., Shao, L. & Tao, D. 2018, 'Multiobject Tracking by Submodular Optimization', IEEE Transactions on Cybernetics.
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Shen, X., Liu, T., Tao, D., Fan, Y., Zhang, J., Li, S., Jiang, J., Zhu, W., Wang, Y., Wang, Y., Brodaty, H., Sachdev, P. & Wen, W. 2018, 'Variation in longitudinal trajectories of cortical sulci in normal elderly.', NeuroImage, vol. 166, pp. 1-9.
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Shen, X., Tian, X., Liu, T., Xu, F. & Tao, D. 2018, 'Continuous Dropout', IEEE Transactions on Neural Networks and Learning Systems.
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Smith, T.A., Agar, M., Jenkins, C.R., Ingham, J.M. & Davidson, P.M. 2018, 'Experience of acute noninvasive ventilation-insights from 'Behind the Mask': a qualitative study.', BMJ Supportive and Palliative Care.
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Takalkar, M., Xu, M., Wu, Q. & Chaczko, Z. 2018, 'A survey: facial micro-expression recognition', Multimedia Tools and Applications, pp. 1-25.
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Usman, M., He, X., Lam, K.K.M., Xu, M., Chen, J., Bokhari, S.M.M. & Jan, M.A. 2018, 'Error Concealment for Cloud-based and Scalable Video Coding of HD Videos', IEEE Transactions on Cloud Computing.
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Usman, M., Jan, M.A., He, X. & Alam, M. 2018, 'Performance evaluation of High Definition video streaming over Mobile Ad Hoc Networks', Signal Processing, vol. 148, pp. 303-313.
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Usman, M., Jan, M.A., He, X. & Nanda, P. 2018, 'QASEC: A secured data communication scheme for mobile Ad-hoc networks', Future Generation Computer Systems.
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Usman, M., Yang, N., Jan, M.A., He, X., Xu, M. & Lam, K.M. 2018, 'A Joint Framework for QoS and QoE for Video Transmission over Wireless Multimedia Sensor Networks', IEEE Transactions on Mobile Computing.
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Wang, B., Yuan, X., Gao, X., Li, X. & Tao, D. 2018, 'A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation', IEEE Transactions on Cybernetics.
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Wang, D., Deng, S. & Xu, G. 2018, 'Sequence-based context-aware music recommendation', Information Retrieval Journal, vol. 21, no. 2-3, pp. 230-252.
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Wang, D., Deng, S., Zhang, X. & Xu, G. 2018, 'Learning to embed music and metadata for context-aware music recommendation', World Wide Web, pp. 1-25.
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Wang, H., Wu, J., Zhu, X., Chen, Y. & Zhang, C. 2018, 'Time-Variant Graph Classification', IEEE Transactions on Systems, Man, and Cybernetics: Systems.
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Wang, L., Bao, X., Chen, H. & Cao, L. 2018, 'Effective lossless condensed representation and discovery of spatial co-location patterns', Information Sciences, vol. 436-437, pp. 197-213.
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Wang, R. & Tao, D. 2018, 'Training Very Deep CNNs for General Non-Blind Deconvolution', IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2897-2910.
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Wang, R., Liu, T. & Tao, D. 2018, 'Multiclass Learning With Partially Corrupted Labels', IEEE Transactions on Neural Networks and Learning Systems.
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Wang, S. & Cao, L. 2018, 'Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Wang, Y., Feng, C., Chen, L., Yin, H., Guo, C. & Chu, Y. 2018, 'User identity linkage across social networks via linked heterogeneous network embedding', World Wide Web, pp. 1-22.
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Wang, Y., Zhang, J., Liu, Z., Wu, Q., Zhang, Z. & Jia, Y. 2018, 'Depth Super-Resolution on RGB-D Video Sequences with Large Displacement 3D Motion', IEEE Transactions on Image Processing, vol. 27, no. 7, pp. 3571-3585.
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Wang, Z. & Piccardi, M. 2018, 'Minimum-risk temporal alignment of videos', Multimedia Tools and Applications.
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Wong, J.K.W., Ge, J. & He, S.X. 2018, 'Digitisation in facilities management: A literature review and future research directions', Automation in Construction, vol. 92, pp. 312-326.
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Wright, S.T., Ryan, L.M. & Pham, T. 2018, 'A novel case-control subsampling approach for rapid model exploration of large clustered binary data.', Statistics in Medicine, vol. 37, no. 6, pp. 899-913.
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Wu, J., Pan, S., Zhu, X., Zhang, C. & Wu, X. 2018, 'Multi-instance learning with discriminative bag mapping', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 6, pp. 1065-1080.
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Wu, J., Pan, S., Zhu, X., Zhang, C. & Yu, P.S. 2018, 'Multiple Structure-View Learning for Graph Classification', IEEE Transactions on Neural Networks and Learning Systems.
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Wu, Z., Li, G., Liu, Q., Xu, G. & Chen, E. 2018, 'Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation', IEEE Transactions on Services Computing, pp. 493-508.
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Wu, Z., Xu, G., Lu, C., Chen, E., Jiang, F. & Li, G. 2018, 'An effective approach for the protection of privacy text data in the CloudDB', World Wide Web, pp. 1-24.
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Xie, Y., Tao, D., Zhang, W., Liu, Y., Zhang, L. & Qu, Y. 2018, 'On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization', International Journal of Computer Vision, pp. 1-23.
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Xu, G. 2018, 'Unsupervised Keyword Extraction from Microblog Posts via Hashtags', Journal of Web Engineering, vol. 17 (1&2).
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Xu, Z., Huang, S., Zhang, Y. & Tao, D. 2018, 'Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, pp. 1100-1113.
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Yang, E., Deng, C., Li, C., Liu, W., Li, J. & Tao, D. 2018, 'Shared Predictive Cross-Modal Deep Quantization', IEEE Transactions on Neural Networks and Learning Systems.
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Yang, X., Wang, M. & Tao, D. 2018, 'Person Re-Identification with Metric Learning Using Privileged Information', IEEE Transactions on Image Processing, vol. 27, no. 2, pp. 791-805.
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Yao, Y., Shen, F., Zhang, J., Liu, L., Tang, Z. & Shao, L. 2018, 'Discovering and Distinguishing Multiple Visual Senses for Web Learning', IEEE Transactions on Multimedia.
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Ying, H., Wu, J., Xu, G., Liu, Y., Liang, T., Zhang, X. & Xiong, H. 2018, 'Time-aware metric embedding with asymmetric projection for successive POI recommendation', World Wide Web, pp. 1-16.
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Yu, D., Fu, B., Xu, G. & Qin, A. 2018, 'Constrained nonnegative matrix factorization-based semi-supervised multi-label learning', International Journal of Machine Learning and Cybernetics.
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Yu, J., Hong, C., Rui, Y. & Tao, D. 2018, 'Multitask Autoencoder Model for Recovering Human Poses', IEEE Transactions on Industrial Electronics, vol. 65, no. 6, pp. 5060-5068.
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Yu, Z., Yu, J., Xiang, C., Fan, J. & Tao, D. 2018, 'Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering', IEEE Transactions on Neural Networks and Learning Systems.
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Zhan, K., Chang, X., Guan, J., Chen, L., Ma, Z. & Yang, Y. 2018, 'Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features', IEEE Transactions on Cybernetics.
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Zhang, G., Piccardi, M. & Zare Borzeshi, E. 2018, 'Sequential Labeling With Structural SVM Under Nondecomposable Losses', IEEE Transactions on Neural Networks and Learning Systems.
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Zhang, J., Wu, Q., Shen, C., Zhang, J. & Lu, J. 2018, 'Multi-label Image Classification with Regional Latent Semantic Dependencies', IEEE Transactions on Multimedia.
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Zhang, J., Yu, J. & Tao, D. 2018, 'Local Deep-Feature Alignment for Unsupervised Dimension Reduction', IEEE Transactions on Image Processing, vol. 27, no. 5, pp. 2420-2432.
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Zhang, Q., Liu, Y., Blum, R.S., Han, J. & Tao, D. 2018, 'Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review', Information Fusion, vol. 40, pp. 57-75.
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Zhang, Q., Shi, C., Niu, Z. & Cao, L. 2018, 'HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering', IEEE Transactions on Knowledge and Data Engineering.
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Zhang, Q., Wu, J., Zhang, P., Long, G. & Zhang, C. 2018, 'Salient Subsequence Learning for Time Series Clustering', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Zhang, Q., Wu, J., Zhang, Q., Zhang, P., Long, G. & Zhang, C. 2018, 'Dual influence embedded social recommendation', World Wide Web, vol. 21, no. 4, pp. 849-874.
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Zhao, J., Mao, X. & Zhang, J. 2018, 'Learning deep facial expression features from image and optical flow sequences using 3D CNN', Visual Computer, pp. 1-15.
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Zhao, L., Wu, S., Jiang, J., Li, W., Luo, J. & Li, J. 2018, 'Novel overlapping subgraph clustering for the detection of antigen epitopes.', Bioinformatics (Oxford, England), vol. 34, no. 12, pp. 2061-2068.
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Zhao, Y., You, X., Yu, S., Xu, C., Yuan, W., Jing, X.Y., Zhang, T. & Tao, D. 2018, 'Multi-view manifold learning with locality alignment', Pattern Recognition, vol. 78, pp. 154-166.
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Zhu, C., Cao, L., Liu, Q., Yin, J. & Kumar, V. 2018, 'Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 7, pp. 1254-1267.
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Zhu, F., Gao, J., Xu, C., Yang, J. & Tao, D. 2018, 'On Selecting Effective Patterns for Fast Support Vector Regression Training', IEEE Transactions on Neural Networks and Learning Systems.
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Zhu, M., He, B. & Wu, Q. 2018, 'Single Image Dehazing Based on Dark Channel Prior and Energy Minimization', IEEE Signal Processing Letters, vol. 25, no. 2, pp. 174-178.

Zuo, Y., Wu, Q., Zhang, J. & An, P. 2018, 'Explicit Edge Inconsistency Evaluation Model for Color-guided Depth Map Enhancement', IEEE Transactions on Circuits and Systems for Video Technology.
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Zuo, Y., Wu, Q., Zhang, J. & An, P. 2018, 'Minimum Spanning Forest with Embedded Edge Inconsistency Measurement Model for Guided Depth Map Enhancement', IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 4145-4159.
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Conferences

Alshehri, M.D. & Hussain, F. 2017, 'A Centralized Trust Management Mechanism for the Internet of Things (CTM-IoT)', Advances on Broad-Band Wireless Computing, Communication and Applications, The 12th International Conference on Broad-Band Wireless Computing, Communication and Applications, Springer, Barcelona, Spain, pp. 533-543.
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Biddle, R., Liu, S., Tilocca, P. & Xu, G. 2018, 'Automated Underwriting in Life Insurance: Predictions and Optimisation', Australasian Database Conference.
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Brownlow, J., Chu, C., Fu, B., Xu, G., Culbert, B. & Meng, Q. 2018, 'Cost-sensitive Churn Prediction in Fund Management Services - Industrial Track', the 23rd International Conference on Database Systems for Advanced Applications, Australia.
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Brownlow, J., Chu, C., Xu, G., Culbert, B., Fu, B. & Meng, Q. 2018, 'A Multiple Source based Transfer Learning Framework for Marketing Campaigns', the 2018 International Joint Conference on Neural Networks, Rio De Janeiro, Brasil.
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Culbert, B., Fu, B., Brownlow, J., Chu, C., Meng, Q. & Xu, G. 2018, 'Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach', Australasian Database Conference.
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Gheisari, S., Catchpoole, D.R., Charlton, A. & Kennedy, P.J. 2018, 'Patched completed local binary pattern is an effective method for neuroblastoma histological image classification', Communications in Computer and Information Science, pp. 57-71.
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Gui, M., Zhang, Z., Yang, Z., Gu, Y. & Xu, G. 2018, 'An Effective Joint Framework for Document Summarization', Companion of the The Web Conference 2018 on The Web Conference 2018.
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Herse, S., Vitale, J., Ebrahimian, D., Tonkin, M., Ojha, S., Sidra, S., Johnston, B., Phillips, S., Gudi, S.L.K.C., Clark, J., Judge, W. & Williams, M.A. 2018, 'Bon Appetit! Robot Persuasion for Food Recommendation', ACM/IEEE International Conference on Human-Robot Interaction, pp. 125-126.
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Liu, S., Xu, G., Zhu, X. & Zhou, Z. 2017, 'Towards Simplified Insurance Application via Sparse Questionnaire Optimization', International Conference on Behavioral, Economic, and Socio-Cultural Computing, IEEE, Poland.
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Liu, W., Chang, X., Chen, L. & Yang, Y. 2018, 'Semi-supervised Joint Learning of Representation and Relation for Person Re-identification', Association for the Advancement of Artificial Intelligence, Louisiana, USA.

Nanda, A., Nanda, P., He, X., Puthal, D. & Jamdagni, A. 2018, 'A Novel Hybrid Authentication Model for Geo Location Oriented Routing in Dynamic Wireless Mesh Networks', Proceedings of the 51st Hawaii International Conference on System Sciences 2018, 51st Hawaii International Conference on System Sciences 2018, Hawaii, USA, pp. 5532-5541.
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Pang, G., Cao, L., Chen, L., Liu, H. & Lian, D. 2018, 'Sparse Modeling-based Sequential Ensemble Learning for Effective Outlier Detection in High-dimensional Numeric Data.', Association for the Advancement of Artificial Intelligence.

Poostchi, H. & Piccardi, M. 2018, 'BiLSTM-CRF for Persian Named-Entity RecognitionArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset', 11th Edition of the Language Resources and Evaluation Conference, Miyazaki, Japan.

Razzak, I., Saris, R.A. & Xu, G. 2018, 'Robust 2D Joint Sparse Principle Component Analysis with F-norm Minimization for Sparse Modelling: 2D-RJSPCA', the 2018 International Joint Conference on Neural Networks, Rio De Janeiro.
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Saeed, Z., Razzak, I., Abbasi, R. & Xu, G. 2018, 'Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter', The 22nd Pacific-Asia Conference on Knowledge Discovery and Data, Australia.
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Shi, H., He, W. & Xu, G. 2018, 'Workshop Proposal on Knowledge Discovery from Digital Libraries', Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, pp. 429-430.
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Tonkin, M., Vitale, J., Herse, S., Williams, M.A., Judge, W. & Wang, X. 2018, 'Design Methodology for the UX of HRI: A Field Study of a Commercial Social Robot at an Airport', ACM/IEEE International Conference on Human-Robot Interaction, pp. 407-415.
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Vitale, J., Tonkin, M., Herse, S., Ojha, S., Clark, J., Williams, M., Wang, X. & Judge, W. 2018, 'Be More Transparent and Users Will Like You: A Robot Privacy and User Experience Design Experiment', Proceedings of 2018 ACM/IEEE International Conference on Human- Robot Interaction, ACM/IEEE International Conference on Human-Robot Interaction 2018, ACM, Chicago, pp. 379-387.
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Vo, N.N.Y. & Xu, G. 2017, 'The volatility of Bitcoin returns and its correlation to financial markets', 2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC), IEEE, Krakow, Poland.
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Vo, N.N.Y., Liu, S., Xu, G. & He, X. 2018, 'Multimodal Mixture Density Boosting Network for Personality Mining', Advances in Knowledge Discovery and Data Mining, The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Melbourne, Australia, pp. 644-655.
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Vo, N.N.Y., Xu, G., Liu, S., Brownlow, E.J., Culbert, B. & Chu, C. 2018, 'Client Churn Prediction with Call Log Analysis', Database Systems for Advanced Applications, 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018), Springer, Gold Coast, Australia, pp. 752-763.
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Wan, Y., Zhao, Z., Yang, M., Xu, G., Ying, H., Wu, J. & Yu, P.S. 2018, 'Improving Automatic Source Code Summarization via Deep Reinforcement Learning', The 33rd IEEE/ACM International Conference on Automated Software Engineering, Corum, Montpellier, France.
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Xu, G. 2017, 'Combining heterogeneous features for time series prediction', International Conference on Behavioral, Economic, Socio-cultural Computing, IEEE, Krakow, Poland.
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Xu, J., Wei, W. & Cao, L. 2018, 'Copula-based high dimensional cross-market dependence modeling', Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017, pp. 734-743.
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Yin, J., Zhou, Z., Liu, S., Wu, Z. & Xu, G. 2018, 'Social Spammer Detection: A Multi-Relational Embedding Approach', The 22nd Pacific-Asia Conference on Knowledge Discovery and Data, Australia.
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Ying, H., Zhuang, F., Zhang, F., Liu, Y., Xu, G., Xie, X., Xiong, H. & Wu, J. 2018, 'Sequential Recommender System based on Hierarchical Attention Networks', the 27th International Joint Conference on Artificial Intelligence.
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Zhou, Z., Liu, S., Xu, G., Xie, X., Yin, J., Li, Y. & Zhang, W. 2018, 'Knowledge-based Recommendation with Hierarchical Collaborative Embedding', The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Australia.
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Zhou, Z., Xu, G., Zhu, X. & Liu, S. 2017, 'Latent Factor Analysis for Low-dimensional Implicit Preference Prediction', International Conference on Behavioral, Economic, Socio-cultural Computing, IEEE, Poland.
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