Publications

Books/chapter in a book

  1. Jiming Liu, Shang Xia: Computational Epidemiology — From Disease Transmission Modeling to Vaccination Decision Making. Springer 2020, ISBN 978-3-030-52107-3.
  2. Li Tao, Jiming Liu: Healthcare Service Management – A Data-Driven Systems Approach. Springer 2019, ISBN 978-3-030-15383-0, pp. 1-154 (2019)
  3. Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, George A. Papadopoulos, Zbigniew W. Ras: Foundations of Intelligent Systems – 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings. Lecture Notes in Computer Science 11177, Springer 2018, ISBN 978-3-030-01850-4

Journal articles

  1. Qi Tan, Yang Liu, and Jiming Liu: Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework, IEEE Transactions on Neural Networks and Learning Systems 32(8): 3538 – 3552 (2021)
  2. Yang Liu, Zhonglei Gu, and Jiming Liu: Uncovering transmission patterns of COVID-19 outbreaks: A region-wide comprehensive retrospective study in Hong Kong, EClinicalMedicine, The Lancet Journals 36:100929 (2021)
  3. Qi Tan, Yang Liu, Jiming Liu, Benyun Shi, Shang Xia, Xiao-Nong Zhou: Heterogeneous neural metric learning for spatio-temporal modeling of infectious diseases with incomplete data. Neurocomputing 458: 701-713 (2021)
  4. H. Pei, B. Yang, J. Liu and K. Chang: Active Surveillance via Group Sparse Bayesian Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, doi: 10.1109/TPAMI.2020.3023092 (In Press)
  5. Dong Li, Jiming Liu: Modeling Influence Diffusion over Signed Social Networks. IEEE Trans. Knowl. Data Eng. 33(2): 613-625 (2021)
  6. Benyun Shi, Jianan Zhong, Hongjun Qiu, Qing Bao, Kai Liu, Jiming Liu: Hybrid Embedding via Cross-Layer Random Walks on Multiplex Networks. IEEE Trans. Netw. Sci. Eng. 8(2): 1815-1827 (2021)
  7. Yang Liu, Zhonglei Gu, Shang Xia, Benyun Shi, Xiao-Nong Zhou, Yong Shi, and Jiming Liu, What are the underlying transmission patterns of COVID-19 outbreak? – An age-specific social contact characterization, EClinicalMedicine, The Lancet Journals 22: 100354 (2020)
  8. Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu: Identifying Key Opinion Leaders in Social Media via Modality-Consistent Harmonized Discriminant Embedding, IEEE Transactions on Cybernetics 50(2): 717–728 (2020)
  9. Vincent S. Tseng, Stephen T. C. Wong, Diane J. Cook, Jiming Liu: [Guest Editorial]. IEEE Comput. Intell. Mag. 15(4): 8-9 (2020)
  10. Vincent S. Tseng, Josh Jia-Ching Ying, Stephen T. C. Wong, Diane J. Cook, Jiming Liu: Computational Intelligence Techniques for Combating COVID-19: A Survey. IEEE Comput. Intell. Mag. 15(4): 10-22 (2020)
  11. Qi Tan, Yang Liu, Jiming Liu: Motif-aware diffusion network inference. Int. J. Data Sci. Anal. 9(4): 375-387 (2020)
  12. Qing Cai, Sameer Alam, Jiming Liu: On the Robustness of Complex Systems With Multipartitivity Structures Under Node Attacks. IEEE Trans. Control. Netw. Syst. 7(1): 106-117 (2020)
  13. Qing Cai, Jiming Liu: Hierarchical Clustering of Bipartite Networks Based on Multiobjective Optimization. IEEE Trans. Netw. Sci. Eng. 7(1): 421-434 (2020)
  14. Qing Cai, Mahardhika Pratama, Sameer Alam, Chunyao Ma, Jiming Liu: Breakup of Directed Multipartite Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 947-960 (2020)
  15. Xiaohui Tao, Juan Domingo Velasquez-Silva, Jiming Liu, Ning Zhong: Editorial: Computational Social Science as the ultimate Web Intelligence. World Wide Web 23(3): 1743-1745 (2020)
  16. Tiantian He, Yang Liu, Tobey H. Ko, Keith C.C. Chan, and Yew-Soon Ong, Contextual Correlation Preserving Multi-View Featured Graph Clustering, IEEE Transactions on Cybernetics 50(10): 4318-4331 (2020)
  17. J. Chen, C. Cheong, L. Lan, X. Zhou, J. Liu, A. Lyu, WK Cheung and L Zhang, DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data, Proceedings of 25th International Conference on Research in Computational Molecular Biology, Italy, August 2021 (2021)
  18. K Yin, WK Cheung, BCM Fung, J Poon. Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records. IEEE Transactions on Knowledge and Data Engineering (in press)
  19. K Yin, L Feng, WK Cheung：Context-Aware Time Series Imputation for Multi-Analyte Clinical Data, Journal of Healthcare Informatics Research 4 (4), 411-426 (2020)
  20. Li Liu, Xin Li, William K. Cheung, Lejian Liao: Structural Representation Learning for User Alignment Across Social Networks. IEEE Trans. Knowl. Data Eng. 32(9): Vol 32: 1824-1837 (2020)
  21. Qing Bao, William K. Cheung, Benyun Shi, Hongjun Qiu, Lijia Ma: Joint Learning of Embedding-Based Parent Components and Information Diffusion for Social Networks. IEEE Access 8: 50709-50720 (2020)
  22. Yang Zhou, Yiu-Ming Cheung: Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 62-76 (2021)
  23. Xin Liu, Zhikai Hu, Haibin Ling, Yiu-Ming Cheung: MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 964-981 (2021)
  24. Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang: Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering. IEEE Trans. Cybern. 51(3): 1598-1612 (2021)
  25. Yang Zhou, Haiping Lu, Yiu-Ming Cheung: Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations. IEEE Trans. Cybern. 51(7): 3496-3509 (2021)
  26. Xin Liu, Yiu-Ming Cheung, Zhikai Hu, Yi He, Bineng Zhong: Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval. IEEE Trans. Emerg. Top. Comput. Intell. 5(4): 607-619 (2021)
  27. Yue Zhao, Yiu-ming Cheung, Xinge You, Qinmu Peng, Jiangtao Peng, Peipei Yuan, Yufeng Shi: Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature Learning. IEEE Trans. Geosci. Remote. Sens. 59(3): 2294-2306 (2021)
  28. Xu Tang, Fanbo Meng, Xiangrong Zhang, Yiu-Ming Cheung, Jingjing Ma, Fang Liu, Licheng Jiao: Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network. IEEE Trans. Geosci. Remote. Sens. 59(3): 2430-2447 (2021)
  29. Meng Pang, Binghui Wang, Yiu-ming Cheung, Yiran Chen, Bihan Wen: VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 16: 2246-2259 (2021)
  30. Meng Pang, Yiu-Ming Cheung, Qiquan Shi, Mengke Li: Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1560-1574 (2021)
  31. Yang Zhou, Yiu-ming Cheung: Probabilistic Rank-One Discriminant Analysis via Collective and Individual Variation Modeling. IEEE Trans. Cybern. 50(2): 627-639 (2020)
  32. Yiu-ming Cheung, Fangqing Gu, Hai-Lin Liu, Kay Chen Tan, Han Huang: Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions. IEEE Trans. Cybern. 50(3): 923-934 (2020)
  33. Meng Pang, Yiu-Ming Cheung, Binghui Wang, Jian Lou: Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. IEEE Trans. Inf. Forensics Secur. 15: 195-209 (2020)
  34. Jian Lou, Yiu-Ming Cheung: Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm. IEEE Trans. Image Process. 29: 2314-2327 (2020)
  35. Yiqun Zhang, Yiu-Ming Cheung, Kay Chen Tan: A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(1): 39-52 (2020)
  36. Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang: Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2764-2778 (2020)
  37. Yang Lu, Yiu-Ming Cheung, Yuan Yan Tang: Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3525-3539 (2020)
  38. Lei Li, Li Chen, Ruihai Dong: CAESAR: context-aware explanation based on supervised attention for service recommendations. J. Intell. Inf. Syst. 57(1): 147-170 (2021)
  39. Jannach, Dietmar, Ahtsham Manzoor, Wanling Cai, and Li Chen. A Survey on Conversational Recommender Systems. ACM Computing Surveys, vol. 54(5): 105:1-36 (2021)
  40. Li Chen, Dongning Yan, and Feng Wang: User Evaluations on Sentiment-based Recommendation Explanations. ACM Transactions on Interactive Intelligent Systems (TiiS) (In press)
  41. Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu: Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access 7: 2633-2642 (2019)
  42. Benyun Shi, Chunpeng Zhou, Hongjun Qiu, Xiaobin Xu, Jiming Liu: Unifying Structural Proximity and Equivalence for Network Embedding. IEEE Access 7: 106124-106138 (2019)
  43. Hechang Chen, Bo Yang, Jiming Liu, Xiao-Nong Zhou, Philip S. Yu: Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning. IEEE Access 7: 108458-108473 (2019)
  44. Chao Gao, Zhen Su, Jiming Liu, Jürgen Kurths: Even central users do not always drive information diffusion. Commun. ACM 62(2): 61-67 (2019)
  45. Dong Li, Wei Wang, Jiming Liu: Grassroots VS elites: Which ones are better candidates for influence maximization in social networks? Neurocomputing 358: 321-331 (2019)
  46. Chao Yu, Yinzhao Dong, Jiming Liu, Guoqi Ren: Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV. BMC Med. Inf. & Decision Making 19-S(2): 19-29 (2019)
  47. Chao Yu, Jiming Liu, Hongyi Zhao: Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units. BMC Med. Inf. & Decision Making 19-S(2): 111-120 (2019)
  48. Dong Li, Jiming Liu: Uncovering the relationship between point-of-interests-related human mobility and socioeconomic status. Telematics and Informatics 39: 49-63 (2019)
  49. Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung: Learning Stylometric Representations for Authorship Analysis. IEEE Trans. Cybernetics 49(1): 107-121 (2019)
  50. Hao-Tian Wu, Zhiyuan Yang, Yiu-Ming Cheung, Lingling Xu, Shaohua Tang: High-Capacity Reversible Data Hiding in Encrypted Images by Bit Plane Partition and MSB Prediction. IEEE Access 7: 62361-62371 (2019)
  51. Hao-Tian Wu, Weiqi Mai, Shuyi Meng, Yiu-Ming Cheung, Shaohua Tang: Reversible Data Hiding With Image Contrast Enhancement Based on Two-Dimensional Histogram Modification. IEEE Access 7: 83332-83342 (2019)
  52. Hao-Tian Wu, Yiu-ming Cheung, Zhiyuan Yang, Shaohua Tang: A high-capacity reversible data hiding method for homomorphic encrypted images. J. Visual Communication and Image Representation 62: 87-96 (2019)
  53. Xin Liu, Jiajia Geng, Haibin Ling, Yiu-ming Cheung: Attention guided deep audio-face fusion for efficient speaker naming. Pattern Recognition 88: 557-568 (2019)
  54. Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu: Robust heterogeneous discriminative analysis for face recognition with single sample per person. Pattern Recognition 89: 91-107 (2019)
  55. Shuangyan Yi, Yingyi Liang, Zhenyu He, Yi Li, Yiu-Ming Cheung: Dual Pursuit for Subspace Learning. IEEE Trans. Multimedia 21(6): 1399-1411 (2019)
  56. Yiu-ming Cheung, Yiqun Zhang: Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training. IEEE Trans. Neural Netw. Learning Syst. 30(3): 876-890 (2019)
  57. Qiquan Shi, Yiu-Ming Cheung, Qibin Zhao, Haiping Lu: Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization. IEEE Trans. Neural Netw. Learning Syst. 30(6): 1803-1817 (2019)
  58. Wen Wu, Li Chen, Qingchang Yang, You Li: Inferring Students’ Personality from Their Communication Behavior in Web-based Learning Systems. International Journal of Artificial Intelligence in Education (2019) DOI: 10.1007/s40593-018-00173-9.
  59. Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, Zhong Ming: Neighborhood-Enhanced Transfer Learning for One-Class Collaborative Filtering. Neurocomputing, 341: 80-87 (2019)
  60. Li Chen, Dongning Yan, Feng Wang: User Perception of Sentiment-Integrated Critiquing in Recommender Systems. International Journal of Human-Computer Studies, 121: 4-20 (2019)
  61. Weike Pan, Li Chen, Zhong Ming: Personalized Recommendation with Implicit Feedback via Learning Pairwise Preferences over Item-sets. Knowledge and Information Systems, 58(2): 295-318 (2019)
  62. Chun Jiang Zhu, Kam-yiu Lam, Joseph Kee-Yin Ng, Jinbo Bi: On the VC-dimension of unique round-trip shortest path systems. Inf. Process. Lett. 145: 1-5 (2019)
  63. Chen Li, William K. Cheung, Jiming Liu, Joseph Kee-Yin Ng: Automatic Extraction of Behavioral Patterns for Elderly Mobility and Daily Routine Analysis. ACM TIST 9(5): 54:1-54:26 (2018)
  64. Zhiwen Yu, Peinan Luo, Jiming Liu, Hau-San Wong, Jane You, Guoqiang Han, Jun Zhang: Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection. IEEE Trans. Knowl. Data Eng. 30(12): 2394-2407 (2018)
  65. Ning Zhong, Jiming Liu, Yong Shi, Yiyu Yao: An interview with Professor Raj Reddy on Web Intelligence (WI) and Computational Social Science (CSS). Web Intelligence 16(3): 143-146 (2018)
  66. Victor C. Cheng, Li Chen, William K. Cheung, Chi-kuen Fok: A heterogeneous hidden Markov model for mobile app recommendation. Knowl. Inf. Syst. 57(1): 207-228 (2018)
  67. Xin Liu, Yiu-Ming Cheung: On incremental collaborative appearance model and regional particle filtering for lip region tracking. Integrated Computer-Aided Engineering 25(1): 63-80 (2018)
  68. Ping Guo, Yuping Wang, Hai-Lin Liu, Yiu-ming Cheung: Computational Intelligence in Astronomy: Preface. Int. J. Comput. Intell. Syst. 11(1): 573-574 (2018)
  69. Yi Wang, Jianwu Wan, Jun Guo, Yiu-Ming Cheung, Pong C. Yuen: Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1611-1624 (2018)
  70. Shuangyan Yi, Zhenyu He, Yiu-Ming Cheung, Wen-Sheng Chen: Unified Sparse Subspace Learning via Self-Contained Regression. IEEE Trans. Circuits Syst. Video Techn. 28(10): 2537-2550 (2018)
  71. Fangqing Gu, Yiu-Ming Cheung: Self-Organizing Map-Based Weight Design for Decomposition-Based Many-Objective Evolutionary Algorithm. IEEE Trans. Evolutionary Computation 22(2): 211-225 (2018)
  72. Hong Jia, Yiu-Ming Cheung: Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters. IEEE Trans. Neural Netw. Learning Syst. 29(8): 3308-3325 (2018)
  73. Jiabei Zeng, Yang Liu, Biao Leng, Zhang Xiong, Yiu-ming Cheung: Dimensionality Reduction in Multiple Ordinal Regression. IEEE Trans. Neural Netw. Learning Syst. 29(9): 4088-4101 (2018)
  74. Qiquan Shi, Haiping Lu, Yiu-Ming Cheung: Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization. IEEE Trans. Neural Netw. Learning Syst. 29(10): 4744-4757 (2018)
  75. Wen Wu, Li Chen, Yu Zhao: Personalizing Recommendation Diversity based on User Personality. User Modeling and User-Adapted Interaction Journal, 28(3): 237-276 (2018) DOI: 10.1007/s11257-018-9205-x.
  76. Yan Lyu, Victor C. S. Lee, Chi-Yin Chow, Joseph Kee-Yin Ng, Yanhua Li, Jia Zeng: R-Sharing: Rendezvous for Personalized Taxi Sharing. IEEE Access 6: 5023-5036 (2018)
  77. Kai Liu, Hao Zhang, Joseph Kee-Yin Ng, Yusheng Xia, Liang Feng, Victor C. S. Lee, Sang Hyuk Son: Toward Low-Overhead Fingerprint-Based Indoor Localization via Transfer Learning: Design, Implementation, and Evaluation. IEEE Trans. Industrial Informatics 14(3): 898-908 (2018)
  78. Youcheng Zhou, Bin Zhong, Tao Fang, Jiming Liu, Xiao-Nong Zhou, Shiwu Zhang: Application of bio-inspired control of AmphiHex-I in detection of Oncomelania hupensis, the amphibious snail intermediate host of Schistosoma japonicum. Industrial Robot 44(2): 242-250 (2017)
  79. Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia: Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1532-1546 (2017)
  80. Bo Yang, Yu Lei, Jiming Liu, Wenjie Li: Social Collaborative Filtering by Trust. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1633-1647 (2017)
  81. Junzhong Ji, Cuicui Yang, Jiming Liu, Jinduo Liu, Baocai Yin: A comparative study on swarm intelligence for structure learning of Bayesian networks. Soft Comput. 21(22): 6713-6738 (2017)
  82. Qing Bao, William K. Cheung, Yu Zhang, Jiming Liu: A Component-Based Diffusion Model With Structural Diversity for Social Networks. IEEE Trans. Cybernetics 47(4): 1078-1089 (2017)
  83. Zhiwen Yu, Zhiqiang Wang, Jane You, Jun Zhang, Jiming Liu, Hau-San Wong, Guoqiang Han: A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets. IEEE Trans. Cybernetics 47(12): 4418-4431 (2017)
  84. Zhiwen Yu, Zongqiang Kuang, Jiming Liu, Hongsheng Chen, Jun Zhang, Jane You, Hau-San Wong, Guoqiang Han: Adaptive Ensembling of Semi-Supervised Clustering Solutions. IEEE Trans. Knowl. Data Eng. 29(8): 1577-1590 (2017)
  85. Chao Gao, Jiming Liu: Network-Based Modeling for Characterizing Human Collective Behaviors During Extreme Events. IEEE Trans. Systems, Man, and Cybernetics: Systems 47(1): 171-183 (2017)
  86. Anders I. Mørch, Irina Engeness, Victor C. Cheng, William K. Cheung, Kelvin C. Wong: EssayCritic: Writing to Learn with a Knowledge-Based Design Critiquing System. Educational Technology & Society 20(2): 213-223 (2017)
  87. Qing Bao, William K. Cheung, Yu Zhang, Jiming Liu: A Component-Based Diffusion Model With Structural Diversity for Social Networks. IEEE Trans. Cybernetics 47(4): 1078-1089 (2017)
  88. Meng Pang, Binghui Wang, Yiu-Ming Cheung, Chuang Lin: Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction. IEEE Access 5: 13978-13991 (2017)
  89. Xin Liu, He Zhang, Yiu-ming Cheung, Xinge You, Yuan Yan Tang: Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach. Computer Vision and Image Understanding 162: 23-33 (2017)
  90. Yiu-ming Cheung, Jian Lou: Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization. Machine Learning 106(4): 595-622 (2017)
  91. Shuangyan Yi, Zhihui Lai, Zhenyu He, Yiu-ming Cheung, Yang Liu: Joint sparse principal component analysis. Pattern Recognition 61: 524-536 (2017)
  92. Yue Zhang, Yiu-ming Cheung, Bo Xu, Weifeng Su: Detection Copy Number Variants from NGS with Sparse and Smooth Constraints. IEEE/ACM Trans. Comput. Biology Bioinform. 14(4): 856-867 (2017)
  93. Zhenyu He, Shuangyan Yi, Yiu-Ming Cheung, Xinge You, Yuan Yan Tang: Robust Object Tracking via Key Patch Sparse Representation. IEEE Trans. Cybernetics 47(2): 354-364 (2017)
  94. Xin Liu, Gao-Feng He, Shu-Juan Peng, Yiu-ming Cheung, Yuan Yan Tang: Efficient Human Motion Retrieval via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary Learning. IEEE Trans. Human-Machine Systems 47(6): 763-776 (2017)
  95. Yiu-ming Cheung, Meng Li, Qinmu Peng, C. L. Philip Chen: A Cooperative Learning-Based Clustering Approach to Lip Segmentation Without Knowing Segment Number. IEEE Trans. Neural Netw. Learning Syst. 28(1): 80-93 (2017)
  96. Qinmu Peng, Yiu-ming Cheung, Xinge You, Yuan Yan Tang: A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance. IEEE Trans. Systems, Man, and Cybernetics: Systems 47(1): 86-97 (2017)
  97. Li Chen, Feng Wang, Pearl Pu: Investigating Users’ Eye Movement Behavior in Critiquing-based Recommender Systems. AI Communications, 30(3-4): 207-222 (2017)
  98. Kam-yiu Lam, Nelson Wai-Hung Tsang, Song Han, Wenlong Zhang, Joseph Kee-Yin Ng, Ajit Nath: Activity tracking and monitoring of patients with alzheimer’s disease. Multimedia Tools Appl. 76(1): 489-521 (2017)

Conference papers

  1. Jiaxu Cui, Bo Yang, Bingyi Sun, Jiming Liu: Cost-aware Graph Generation: A Deep Bayesian Optimization Approach. AAAI 2021: 7142-7150 (2021)
  2. Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha: AutoTrajectory: Label-Free Trajectory Extraction and Prediction from Videos Using Dynamic Points. ECCV (13) 2020: 646-662 (2020)
  3. Jinfu Ren, Yang Liu, Jiming Liu: Metric-Guided Multi-task Learning. ISMIS 2020: 21-31 (2020)
  4. Qi Tan, Yang Liu, Jiming Liu: Mesoscale Anisotropically-Connected Learning. ISMIS 2020: 171-180 (2020)
  5. Xingjian Liu, Fan Zhang, Xianghua Li, Chao Gao, Jiming Liu: Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering. ISMIS 2020: 372-382 (2020)
  6. K Yin, WK Cheung, BCM Fung, J Poon. TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling. Proceedings of the 2021 SIAM International Conference on Data Mining, pages 594-602, Alexandria, VA, 2021 (2021)
  7. K Yin, A Afshar, JC Ho, WK Cheung, C Zhang, J Sun: LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. KDD 2020: 1625-1635 (2020)
  8. Yuxuan Huang, Xin Cao, Hao-Tian Wu, Yiu-ming Cheung: Reversible Data Hiding in Jpeg Images for Privacy Protection. ICASSP 2021: 2715-2719 (2021)
  9. Yiu-Ming Cheung, Mengke Li, Rong Zou: Facial Structure Guided GAN for Identity-preserved Face Image De-occlusion. ICMR 2021: 46-54 (2021)
  10. Yi He, Xin Liu, Yiu-Ming Cheung, Shu-Juan Peng, Jinhan Yi, Wentao Fan: Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval. SIGIR 2021: 1865-1869 (2021)
  11. Yiqun Zhang, Yiu-ming Cheung: An Ordinal Data Clustering Algorithm with Automated Distance Learning. AAAI 2020: 6869-6876 (2020)
  12. Meng Pang, Yiu-ming Cheung, Qiquan Shi, Mengke Li:
  13. Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery. ICME 2020: 1-6 (2020)
  14. Kai Cheng, Xin Liu, Yiu-ming Cheung, Rui Wang, Xing Xu, Bineng Zhong: Hearing like Seeing: Improving Voice-Face Interactions and Associations via Adversarial Deep Semantic Matching Network. ACM Multimedia 2020: 448-455 (2020)
  15. Rui Wang, Xin Liu, Yiu-ming Cheung, Kai Cheng, Nannan Wang, Wentao Fan: Learning Discriminative Joint Embeddings for Efficient Face and Voice Association. SIGIR 2020: 1881-1884 (2020)
  16. Jian Lou, Yiu-ming Cheung: Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration. WI/IAT 2020: 1-8 (2020)
  17. Ningxia Wang, Li Chen, Yonghua Yang:
  18. The Impacts of Item Features and User Characteristics on Users’ Perceived Serendipity of Recommendations. UMAP 2020: 266-274 (2020)
  19. Ningxia Wang and Li Chen. User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms. In Proceedings of 15th ACM Conference on Recommender Systems (2021)
  20. Zhirun Zhang, Xinzhi Zhang, and Li Chen. Informing the Design of a News Chatbot. In Proceedings of 21th ACM International Conference on Intelligent Virtual Agents (2021)
  21. Lei Li, Yongfeng Zhang, and Li Chen. Personalized Transformer for Explainable Recommendation. In Proceedings of 59th Annual Meeting of the Association for Computational Linguistics (2021)
  22. Lei Li, Yongfeng Zhang, and Li Chen. EXTRA: Explanation Ranking Datasets for Explainable Recommendation. In Proceedings of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 2463-2469 (2021)
  23. Wanling Cai, Yucheng Jin, and Li Chen. Critiquing for Music Exploration in Conversational Recommender Systems. In Proceedings of 26th International Conference on Intelligent User Interfaces 480-490 (2021)
  24. Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, and Jianliang Xu. BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. In Proceedings of 3rd International Workshop on Mobile Ubiquitous Systems and Technologies 381-397 (2021)
  25. Lei Li, Yongfeng Zhang, and Li Chen. Generating Neural Template Explanations for Recommendation. In Proceedings of 29th ACM International Conference on Information and Knowledge Management 755-764 (2020)
  26. Wanling Cai and Li Chen. Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations. In Proceedings of 28th Conference on User Modeling, Adaptation and Personalization 33–42 (2020)
  27. Ningxia Wang, Li Chen, and Yonghua Yang. The Impacts of Item Features and User Characteristics on Users’ Perceived Serendipity of Recommendations. In Proceedings of 28th Conference on User Modeling, Adaptation and Personalization 266–274 (2020)
  28. Lei Li, Li Chen, and Yongfeng Zhang. Towards Controllable Explanation Generation for Recommender Systems via Neural Template. In Companion Proceedings of The Web Conference 198-202 (2020)
  29. D. Qian, WK Cheung: Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation, in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) (2019)
  30. Jinfu Ren, Yang Liu, Jiming Liu: EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning. AAAI 2019: 10011-10012
  31. Chao Yu, Jiming Liu, Shamim Nemati: Reinforcement Learning in Healthcare: A Survey. CoRR abs/1908.08796 (2019)
  32. Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon: Medical Concept Embedding with Multiple Ontological Representations. IJCAI 2019: 4613-4619
  33. Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon: Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. AAAI 2019: 1246-1253
  34. Junjie Chen, William K. Cheung: Similarity Preserving Deep Asymmetric Quantization for Image Retrieval. AAAI 2019: 8183-8190
  35. Xin Ju, Xiaofeng Zhang, William K. Cheung: Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks. ICDE Workshops 2019: 286-293
  36. Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung: Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. CEC 2019: 2794-2799
  37. Ninglei Fan, Yuping Wang, Junhua Liu, Yiu-ming Cheung: A New Adaptive Hybrid Algorithm for Large-Scale Global Optimization. ISNN (1) 2019: 299-308
  38. Zhikai Hu, Xin Liu, Xingzhi Wang, Yiu-ming Cheung, Nannan Wang, Yewang Chen: Triplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval. ICMR 2019: 141-149
  39. Yang Lu, Yiu-ming Cheung, Yuan Yan Tang: Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem. CoRR abs/1901.10173 (2019)
  40. Li Chen, Yonghua Yang, Ningxia Wang, Keping Yang, Quan Yuan: How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. WWW 2019: 240-250
  41. Lei Li, Ruihai Dong, Li Chen: Context-aware Co-Attention Neural Network for Service Recommendations. ICDE 2019 Workshop on Recommender Systems with Big Data: 201-208
  42. Moritz Beck, Kam-yiu Lam, Joseph Kee-Yin Ng, Sabine Storandt, Chun Jiang Zhu: Concatenated k-Path Covers. ALENEX 2019: 81-91
  43. Yikun Zhang, Yang Liu, Jiming Liu: Learning Bayesian Network Structure by Self-Generating Prior Information: The Two-Step Clustering-Based Strategy. AAAI Workshops 2018: 530-537
  44. Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong: Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. AAAI 2018: 800-807
  45. Yikun Zhang, Jiming Liu, Yang Liu: Bayesian Network Structure Learning: The Two-Step Clustering-Based Algorithm. AAAI 2018: 8183-8184
  46. Hao Lan Zhang, Xingsen Li, Jiming Liu, Yiu-ming Cheung: Constructing weighted networks based on EEG data segmentation for brain wave pattern recognition. ICACI 2018: 852-855
  47. Qi Tan, Jiming Liu, Benyun Shi, Yang Liu, Xiao-Nong Zhou: Public Health Surveillance with Incomplete Data – Spatio-Temporal Imputation for Inferring Infectious Disease Dynamics. ICHI 2018: 255-264
  48. Hechang Chen, Bo Yang, Jiming Liu: Partially Observable Reinforcement Learning for Sustainable Active Surveillance. KSEM (2) 2018: 425-437
  49. Qi Tan, Yang Liu, Jiming Liu: Motif-Aware Diffusion Network Inference. PAKDD (3) 2018: 638-650
  50. Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu: Multi-Modal Media Retrieval via Distance Metric Learning for Potential Customer Discovery. WI 2018: 310-317
  51. Xiao-Feng Xie, Jiming Liu, Zun-Jing Wang: A Cooperative Group Optimization System. CoRR abs/1808.01342 (2018)
  52. Zhanwei Du, Spencer J. Fox, Petter Holme, Jiming Liu, Alison P. Galvani, Lauren Ancel Meyers: Periodicity in Movement Patterns Shapes Epidemic Risk in Urban Environments. CoRR abs/1809.05203 (2018)
  53. Victor C. W. Cheng, Hao Li, Joseph K. Ng, William K. Cheung: Fast Setup and Robust WiFi Localization for the Exhibition Industry. AINA 2018: 472-479
  54. Junjie Chen, William K. Cheung, Anran Wang: Aphash: Anchor-Based Probability Hashing for Image Retrieval. ICASSP 2018: 1673-1677
  55. Junjie Chen, William K. Cheung, Anran Wang: Learning Deep Unsupervised Binary Codes for Image Retrieval. IJCAI 2018: 613-619
  56. Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon: Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization. IJCAI 2018: 3627-3633
  57. Chin Wang Cheong, Daniel Garijo, Kwok-Wai Cheung, Yolanda Gil: PSM-Flow: Probabilistic Subgraph Mining for Discovering Reusable Fragments in Workflows. WI 2018: 166-173
  58. Xin Li, Huiting Hong, Lin Liu, William K. Cheung: A Structural Representation Learning for Multi-relational Networks. CoRR abs/1805.06197 (2018)
  59. Jing He, Xin Li, Lejian Liao, William K. Cheung: Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference. CoRR abs/1805.06316 (2018)
  60. Jian Lou, Yiu-ming Cheung: Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. AAAI 2018: 125-133
  61. Hao Lan Zhang, Huanyu Zhao, Yiu-Ming Cheung, Jing He: Generating EEG Graphs Based on PLA for Brain Wave Pattern Recognition. CEC 2018: 1-7
  62. Junyu Li, Haoliang Yuan, Loi Lei Lai, Yiu-ming Cheung: Joint Collaborative Representation and Discriminative Projection for Pattern Classification. CIS 2018: 125-129
  63. Fangqing Gu, Yiu-ming Cheung, Hai-Lin Liu, Zixian Lin: A parameterless decomposition-based evolutionary multi-objective algorithm. ICACI 2018: 842-845
  64. Yiqun Zhang, Yiu-ming Cheung: A fast hierarchical clustering approach based on partition and merging scheme. ICACI 2018: 846-851
  65. Hao Lan Zhang, Xingsen Li, Jiming Liu, Yiu-ming Cheung: Constructing weighted networks based on EEG data segmentation for brain wave pattern recognition. ICACI 2018: 852-855
  66. Yiqun Zhang, Yiu-ming Cheung: Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering. ISMIS 2018: 247-257
  67. Xin Liu, Zhikai Hu, Haibin Ling, Yiu-ming Cheung: MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval. CoRR abs/1805.01963 (2018)
  68. Lei Li, Weike Pan, Li Chen, Zhong Ming: RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood. ICWS 2018: 326-336
  69. Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu: Ontology-based Graph Visualization for Summarized View. CIKM 2017: 2115-2118
  70. Yang Liu, Zhonglei Gu, Tobey H. Ko, Jiming Liu: Brand key asset discovery via cluster-wise biased discriminant projection. WI 2017: 284-290
  71. Zhanwei Du, Bo Yang, Jiming Liu: Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows. CoRR abs/1702.02456 (2017)
  72. Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong: Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. CoRR abs/1712.00328 (2017)
  73. Lin Liu, Xin Li, William K. Cheung, Chengcheng Xu: A Structural Representation Learning for Multi-relational Networks. IJCAI 2017: 4047-4053
  74. Yang Liu, Zhonglei Gu, William K. Cheung: HKBU at MediaEval 2017 – Medico: Medical Multimedia Task. MediaEval 2017
  75. Zhaocai Sun, William K. Cheung, Xiaofeng Zhang, Jun Yang: Towards well-specified semi-supervised model-based classifiers via structural adaptation. CoRR abs/1705.00597 (2017)
  76. Yang Zhou, Haiping Lu, Yiu-ming Cheung: Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations. AAAI 2017: 2949-2955
  77. Qiquan Shi, Haiping Lu, Yiu-ming Cheung: Tensor Rank Estimation and Completion via CP-based Nuclear Norm. CIKM 2017: 949-958
  78. Meng Pang, Yiu-ming Cheung, Binghui Wang, Risheng Liu: Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. CIKM 2017: 2251-2254
  79. Haiyan Liu, Yuping Wang, Liwen Liu, Xiaozhi Gao, Yiu-ming Cheung: A new grouping strategy-based hybrid algorithm for large scale global optimization problems. GECCO (Companion) 2017: 171-172
  80. Yang Lu, Yiu-ming Cheung, Yuan Yan Tang: Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift. IJCAI 2017: 2393-2399
  81. Yang Liu, Zhonglei Gu, Yiu-ming Cheung, Kien A. Hua: Multi-view Manifold Learning for Media Interestingness Prediction. ICMR 2017: 308-314
  82. Qiquan Shi, Yiu-ming Cheung, Qibin Zhao: Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition. ECML/PKDD (1) 2017: 564-581
  83. Fangqing Gu, Hai-Lin Liu, Yiu-ming Cheung:A Fast Objective Reduction Algorithm Based on Dominance Structure for Many Objective Optimization. SEAL 2017: 260-271
  84. Fangqing Gu, Ziquan Liu, Yiu-ming Cheung, Hai-Lin Liu: Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network. SEAL 2017: 821-832
  85. Yi Wang, Jianwu Wan, Jun Guo, Yiu-Ming Cheung, Pong C. Yuen: Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification. CoRR abs/1711.01587 (2017)
  86. Wen Wu, Li Chen, Qingchang Yang: Inferring Students’ Sense of Community from Their Communication Behavior in Online Courses. UMAP 2017: 238-246
  87. Dongning Yan, Li Chen: Review-based Screening Interface for Improving Users’ Decision Process in E-commerce. HCII 2017: 130-142
  88. Li Chen, Feng Wang: Explaining Recommendations Based on Feature Sentiments in Product Reviews. IUI 2017: 17-28
  89. Nelson Wai-Hung Tsang, Kam-yiu Lam, Joseph Kee-Yin Ng, Song Han, Ioannis Papavasileiou: Tracking Indoor Activities of Patients with Mild Cognitive Impairment Using Motion Sensors. AINA 2017: 431-438
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