Xiaoli Li's Selected Publications

    BOOKS/Special Issues/Proceedings

  1. Roger Zimmermann, Xiao-Li Li, Bihan Wen, Juan Guerrero, " IEEE 6th International Conference on Multimedia Information Processing and Retrieval (MIPR)", MIPR, 2023, [PDF].

  2. Xiao-Li Li, Xulei Yang and Hao Su, " Towards Realistic 3D Deep Learning: Algorithms and Applications ", World Scientific, 2023, [PDF].

  3. Xiao-Li Li, Savitha Ramasamy, ArulMurugan Ambikapathi, Suresh Sundaram, and Haytham Fayek, " Towards Human Brain Inspired Lifelong Learning ", World Scientific, 2023, [PDF].

  4. Zhenghua Chen, Min Wu, Xiao-Li Li, Le Zhang, Peilin Zhao, " Deep Learning for Human Activity Recognition for NeuroComputing", Neurocomputing, 2022.

  5. Xiao-Li Li, Zhenghua Chen, Min Wu, Jianfei Yang, " Recent Advances in Neural Network for Remote Sensing", Remote Sensing, 2022.

  6. Savitha Ramasamy,Haytham Fayek, Vincenzo Lomonaco, Xiao-Li Li, Suresh Sundaram, " Lifelong learning", Neural network, 2022.

  7. Xiao-Li Li, Huanhuan Chen, Thomas Ploetz, Min Wu, Zhenghua Chen, " Computational Intelligence for IoT-based Human Activity Recognition", IEEE Transactions on Emerging Topics in Computational Intelligence, 2022.

  8. Zhenghua Chen, Min Wu, Xiao-Li Li, "Generalization With Deep Learning: For Improvement On Sensing Capability", World Scientific, 2021.

  9. Xiao-Li Li, Zhenghua Chen, Min Wu, Zhang Le, "Deep Learning for Human Activity Recognition", Springer, 2021.

  10. Xiao-Li Li, Tru Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu-Bao Ho, David Cheung, Hiroshi Motoda (Eds.) (2015), "Trends and Applications in Knowledge Discovery and Data Mining", Springer, 2015.

  11. Xiao-Li Li, See-Kiong Ng, Jason T. L. Wang (Eds.) (2013), "Biological Data Mining and its Applications in Healthcare", World Scientific, 2014.

  12. Xiao-Li Li and See-Kiong Ng(Eds.) (2012), "Computational Knowledge Discovery for Bioinformatics Research", IGI Global, USA, 2012.

  13. Xiao-Li Li and See-Kiong Ng(Eds.) (2008), "Biological Data Mining in Protein Interaction Networks", IGI Global, USA, 2009.

    14. PAPERS (Journals and Conferences)

  14. Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen, "Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data", AAAI 2024. [PDF].

  15. Guanghan Duan, Hongwu Lv, Huiqiang Wang, Guangsheng Feng, Xiaoli Li "Practical Cyber Attack Detection with Continuous Temporal Graph in Dynamic Network System", IEEE Transactions on Information Forensics and Security, 2024. [PDF].

  16. Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen, "Graph Contextual Contrasting for Multivariate Time Series Classification", AAAI 2024. [PDF].

  17. Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen, "Reinforced knowledge distillation for time series regression", IEEE Transactions on Artificial Intelligence (TAI) 2024. [PDF].

  18. Anushiya Arunan, Yan Qin, Chau Yuen, and Xiaoli Li, "A Change Point Detection Integrated Remaining Useful Life Estimation Model under Variable Operating Conditions", Control Engineering Practice 2024. [PDF].

  19. Wei Cui, Keyu Wu, Min Wu, Xiaoli Li, Zhenghua Chen, "WiCAU: Comprehensive Partial Adaptation with Uncertainty-aware for WiFi-based Cross-environment Activity Recognition ", IEEE Transactions on Instrumentation & Measurement 2024. [PDF].

  20. Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, J Senthilnath, "Interpretable Policy Extraction With Neuro-Symbolic Reinforcement Learning", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024. [PDF].

  21. Bangze Pan, Yang Li, Suge Wang, Xiaoli Li, Deyu Li, Jian Liao and Jianxing Zheng, "Document-Level Event Extraction via Information Interaction Based on Event Relation and Argument Correlation", The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (Coling) 2024. [PDF].

  22. Xiaoqi Han, Ru Li, Xiaoli Li, Jeff Z. Pan, "A divide and conquer framework for Knowledge Editing", Knowledge-based systems 2023. [PDF].

  23. Yucheng Wang, Yuecong Xu, Zhenghua Chen, Min Wu, Xiaoli Li, "SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation", AAAI 2023. [PDF].

  24. Qing Xu, Min Wu, Xiao-Li Li, Kezhi Mao, Zhenghua Chen, "Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data", IJCAI 2023. [PDF].

  25. Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Wai Leong Tam, Xiaoli Li, "SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein Protein Interaction Prediction", IJCAI 2023. [PDF].

  26. Wang Jing, Aixin Sun, Hao Zhang and Xiaoli Li, "MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction", ACL 2023. [PDF].

  27. Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, and Zhenghua Chen, "Source-Free Domain Adaptation with Temporal Imputation for Time Series Data", KDD 2023. [PDF].

  28. Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin, "Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks", ICCV 2023. [PDF].

  29. Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li, "Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptations", ICCV 2023. [PDF].

  30. Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong, "A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges", IEEE Computational Intelligence Magazine 2023. [PDF].

  31. Wang Yucheng, Wu Min, Li Xiaoli, Xie Lihua, Chen Zhenghua, "Multivariate Time Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network", IEEE Transactions on Artificial Intelligence 2023. [PDF].

  32. Zhang Yu, Tanaya Chaudhuri, Liu Pan, Wang Lu, Wu Min, Li Xiaoli, "DPC-IINK: A Framework for Drift Prediction and Compensation with Inter and Intra Node Knowledge Transfer", IEEE Sensors Journal 2023. [PDF].

  33. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, "Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation", IEEE in Transactions on Neural Systems & Rehabilitation Engineering 2023. [PDF].

  34. Yujie Fu, Suge Wang, Xiaoli Li, Deyu Li, Yang Li, Jian Liao, Jianxing Zheng, "Hierarchical Neural Network: Integrate Divide-and-Conquer and Unified Approach for Argument Unit Recognition and Classification", Information Sciences 2023. [PDF].

  35. Amer Al-Radaideh, Robert Selje, Daniel Coraspe, Efe Camci, Rajdeep Dutta, Liang Sun, Senthilnath Jayavelu, Xiaoli Li, "Tethered Multicopter Trajectory Tracking in GPS Denied Enviroments Through Deep Reinforcement Learning", AIAA SciTech 2023. [PDF].

  36. Kuicai Dong, Aixin Sun, Jung-jae Kim, Xiaoli Li, "Open Information Extraction via Chunks", EMNLP main conference 2023. [PDF].

  37. Truong Giang Do, Le Huy Khiem, TrungTin Nguyen, Quang Pham, Binh T. Nguyen, Thanh-Nam Doan, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven HOI, "HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts", EMNLP main conference 2023. [PDF].

  38. Kuicai Dong, Aixin Sun, Jung-jae Kim, Xiaoli Li, "From Speculation Detection to Trustworthy Relational Tuples in Information Extraction", EMNLP Findings 2023. [PDF].

  39. Nuo Chen, Qiushi Sun, Jianing Wang, Xiaoli Li, Xiang Li, Ming Gao, "Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation", EMNLP Findings 2023. [PDF].

  40. Yao Xiao, Lu Xu, Jiaxi Li, Wei Lu, Xiaoli Li, "Decomposed Prompt Tuning via Low-Rank Reparameterization", EMNLP Findings 2023. [PDF].

  41. Yujie Fu, Suge Wang, Xiaoli Li, Yang Li, Deyu Li, Jian Liao, JianXing Zheng, "Hierarchical Enhancement Framework for Aspect-based Argument Mining", EMNLP Findings 2023. [PDF].

  42. Qing Xu , Min Wu , Xiaoli Li , Kezhi Mao , Zhenghua Chen, "Contrastive Distillation with Regularized Knowledge for Deep Model Compression on Sensor-based Human Activity Recognition", IEEE Transactions on Industrial Cyber-Physical Systems 2023. [PDF].

  43. Xiaojun Ning , Jing Wang , Youfang Lin , Xiyang Cai , Haobin Chen , Haijun Gou , Xiaoli Li , Ziyu Jia, "MetaEmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network with Meta-learning for EEG Emotion Recognition", IEEE Transactions on Instrumentation and Measurement 2024. [PDF].

  44. Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen, "Local-Global Correlation Fusion based Graph Neural Network for Remaining Useful Life Predictionn", IEEE Transactions on Neural Networks and Learning Systems. [PDF].

  45. Ziyang Wang, Wei Wei, Ding Zou, Yifan Liu, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, "Exploring Global Information for Session-based Recommendation", Pattern Recognition, accepted. [PDF].

  46. Mohamed Ragab Mohamed Adam, Emadeldeen Eldele, Wee Ling Tan, Foo Chuan Sheng, Chen Zhenghua, Wu Min, Kwoh Chee-Keong, Xiaoli Li, " ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data", ACM Transactions on Knowledge Discovery from Data (TKDD), 2023. [PDF].

  47. Anushiya Arunan, Yan Qin, Chau Yuen, and Xiaoli Li. "A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction", IEEE Transactions on Automation Science and Engineering, 2023. [PDF].

  48. Xuefeng Su, Ru Li, Xiaoli Li, Baobao Chang, Zhiwei Hu, Xiaoqi Han, Zhichao Yan, " A Span-based Target-aware Relation Model for Frame-Semantic Parsing", ACM Transactions on Asian and Low-Resource Language Information Processing, 2023. [PDF].

  49. Jin Ruibing, Zhou Duo, Wu Min, Xiaoli Li, Chen Zhenghua, "An adaptive and dynamical neural network for machine remaining useful life prediction", IEEE Transactions on Industrial Informatics, 2023. [PDF].

  50. Youlin Zhan, Jiahan Liu, Min Wu, Chris Soon Heng Tan, Xiaoli Li, Le Ou-Yang, "A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks", Computers in Biology and Medicine, 2023. [PDF].

  51. Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Shaohua Tian, Chee-Keong Kwoh, Xiaoli Li, Xuefeng Chen, "A universal transfer network for machinery fault diagnosis", Computers in Industry 2023. [PDF].

  52. Xin Chen, Suge Wang, Xiaoli Li, Zhen Hai, Yang Li, Deyu Li and Jianghui Cai, "Identifying Implicit Emotions via Hierarchical Structure and Rhetorical Correlation", International Journal of Machine Learning and Cybernetics, 2023. [PDF].

  53. Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, Xulei Yang, "Coco-Teach: A CONTRASTIVE CO-TEACHING NETWORK FOR INCREMENTAL 3D OBJECT DETECTION,", ICIP, 2023. [PDF].

  54. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, "Contrastive Domain Adaptation for Time-Series via Temporal Mixup,", IEEE Transactions on Artificial Intelligence 2023. [PDF].

  55. Bingxue Du, Long Yahui, Li Xiaoli, Wu Min, Shi Jianyu, "CMMS-GCL: Cross-Modality Metabolic Stability Prediction with Graph Contrastive Learning", Bioinformatics, 2023. [PDF].

  56. Dian Wang, Suge Wang, Yang Li, Xiaoli Li, Xin Chen, Shuqi Li, Jian Liao, Deyu Li, "Integrating Curriculum Learning with Meta-learning for General Rhetoric Identification", International Journal of Machine Learning and Cybernetics, 2023. [PDF].

  57. Xuefeng Su, Ru Li, Xiaoli Li, Baobao Chang, Zhiwei Hu, Xiaoqi Han, Zhichao Yan "A Span-based Target-aware Relation Model for Frame-Semantic Parsing", ACM Transactions on Asian and Low-Resource Language Information Processing, 2023. [PDF].

  58. Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li, "DO-GAN: A double oracle framework for generative adversarial networks", CVPR 2022. [PDF].

  59. Keyu Wu, Wu Min, Chen Zhenghua, Xu Yuecong and Xiao-Li Li, "Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation", AAAI 2022. [PDF].

  60. Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiao-Li Li, and Suge Wang, "HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance", SIGIR 2022. [PDF].

  61. Zhiwei Hu, Victor Gutierrez Basulto, Zhiliang Xiang, Xiao-Li Li, Ru Li, Jeff Z. Pan, "TEMP: Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs", IJCAI 2022. [PDF].

  62. Jiachen Shi, Gao Cong, and Xiaoli Li, "Learned Index Benefits: Machine Learning Based Index Performance Estimation", PVLDB 2022. [PDF].

  63. Kuicai Dong, Zhao Yilin, Aixin Sun, Jung-Jae Kim and Xiao-Li Li, "Syntactic Multi-view Learning for Open Information Extraction", EMNLP 2022. [PDF].

  64. Keyu Wu, Zhenghua Chen, Min Wu, Shili Xiang, Ruibing Jin, Le Zhang, Xiao-Li Li, "Multi-task Self-Supervised Adaptation for Reinforcement Learning", The 18th IEEE Conference on Industrial Electronics and Applications (ICIEA 2022). [PDF] (BEST PAPER AWARD).

  65. Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh and Xiao-Li Li, "Self-supervised Autoregressive Domain Adaptation for Time Series Data", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [PDF].

  66. Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, and Xiao-Li Li, "A hybrid accuracy- and energy-aware human activity recognition model in IoT environment", IEEE Transactions on Sustainable Computing, 2022. [PDF].

  67. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiao-Li Li, Cuntai Guan "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training", IEEE Transactions on Emerging Topics in Computational Intelligence, 2022. [PDF].

  68. Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiao-Li Li and Jiawen Kang, "Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization", IEEE Transactions on Vehicular Technology, 2022. [PDF].

  69. Rajdeep Dutta, Harikumar Kandath, J. Senthilnath, Xiaoli Li, Suresh Sundaram, Daniel Pack, "A Decentralized Learning Strategy to Restore Connectivity during Multi-agent Formation Control", Neurocomputing, 2022. [PDF].

  70. Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li, "Reinforced Adaptation Network for Partial Domain Adaptation ", IEEE Transactions on Circuits and Systems for Video Technology, 2022. [PDF].

  71. Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, and Xiao-Li Li, "A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life", IEEE/CAA Journal of Automatica Sinica (JAS), 2022. [PDF].

  72. Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee-Keong Kwoh, Jinmiao Chen, Jiawei Luo and Xiaoli Li, "Pre-training Graph Neural Networks for Link Prediction in Biomedical Networks", Bioinformatics 2022. [PDF].

  73. Xulei Yang, Peisheng Qian, Li Wang, Shenghao Zhao, Cen Chen, Xiaoli Li, Zeng Zeng, "Iterative Contrastive Learning for Single Image Raindrop Removal", ICIP 2022. [PDF].

  74. Deeksha Aggarwal, J Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Ferdaus Md Meftahul, Xiaoli Li "SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification ", IEEE International Conference on Data Mining (ICDM) 2022. [PDF].

  75. HarikumarKandath, Deeksha Aggarwal, Ferdaus Md Meftahul, Ng ZhenWei, Zhou Bangjian, Suresh Sundaram, Xiaoli Li, J Senthilnath, "PASE: An autonomous sequential framework for the state estimation of dynamical systems ", Expert Systems with Applications, 2022. [PDF].

  76. Robert A. Selje, Amer Al-Radaideh, Rajdeep Dutta, Senthilnath Jayavelu, Xiao-Li Li and Liang Sun, "GPS-Denied Three Dimensional Leader-Follower Formation Control Using Deep Reinforcement Learning", AIAA 2022. [PDF].

  77. Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiao-Li Li, and Suge Wang, "Hyperbolic Deep Keyphrase Generation", ECML/PKDD 2022. [PDF].

  78. Mohamed Ragab, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee-Keong Kwoh, Xiaoli Li, "Conditional Contrastive Domain Generalization for Fault Diagnosis", IEEE Transactions on Instrumentation & Measurement 2022. [PDF].

  79. Zexi Yao, Chao Jin, Mohamed Ragab, Khin Mi Mi Aung and Xiaoli Li. "DiagNet: Machine Fault Diagnosis Using Federated Transfer Learning Under Low Data Sample Conditions", International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 [PDF].

  80. Yan Qin, Chau Yuen, Yimin Shao, Bo Qin, and Xiaoli Li. "Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation", IEEE Transactions on Cybernetics, 2022. [PDF].

  81. Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan, "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction", IEEE Transactions on Instrumentation and Measurement, 2022. [PDF].

  82. Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen,Xiaoli Li, "Position Encoding based Convolutional Neural Networks for Machine Remaining Useful Life Prediction", IEEE/CAA Journal of Automatica Sinica, 2022. [PDF].

  83. F.Md. Meftahul, Bangjian Zhou, JiWei Yoon, KL Low, J Pan, J Ghosh, Min Wu, Xiaoli Li, AVY Thean, J Senthilnath, "Significance of Activation Functions in Developing an Online Classifier for Semiconductor Defect Detection", IEEE Journal of Biomedical and Health Informatics, 2022. [PDF].

  84. Chenyang Li, Chee Keong Kwoh, Xiaoli Li, Lingfei Mo, Ruqiang Yan, "Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network", The 17th International Conference on Control, Automation, Robotics and Vision (ICARCV 2022). [PDF].

  85. Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu and Xiaoli Li, "Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks", Generalization with Deep Learning, World Scientific 2022. [PDF].

  86. Zeng Zeng, yangfan Li, Ziyuan Zhao, Kaixin Xu, Cen Chen, Yulan Wang, Wei Wei, Pierce KH Chow, Xiaoli Li, Zou Xiaofeng, "CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data", Knowledge-Based Systems, 2022. [PDF].

  87. Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, and Xiao-Li Li, "Deep Reinforcement Learning Boosted Partial Domain Adaptation", IJCAI 2021. [PDF].

  88. Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiao-Li Li and Cuntai Guan, "Time-Series Representation Learning via Temporal and Contextual Contrasting", IJCAI 2021. [PDF].

  89. Emadeldeen Eldele, Zhenghua Chen, Chengyu Liu, Min Wu, Chee Keong Kwoh, Xiao-Li Li and Cuntai Guan, "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG", IEEE Transactions on Neural Systems & Rehabilitation Engineering (TNSRE), 2021. [PDF].

  90. Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty and Xiao-Li Li, "A Conditional Splitting Framework for Efficient Constituency Parsing", ACL, 2021. [PDF].

  91. Xuefeng Su, Ru Li, Xiao-Li Li, Jeff Z. Pan, Hu Zhang, Qinghua Chai and Xiaoqi Han, "A Knowledge-Guided Framework for Frame Identification", ACL, 2021. [PDF].

  92. Kuicai Dong, Zhao Yilin, Aixin Sun, Jung-Jae Kim and Xiao-Li Li, "DocOIE: A Document-level Context-Aware Dataset for OpenIE", ACL (Findings), 2021. [PDF].

  93. Hongye Tan, xiaoyue Wang, Yu Ji, Ru Li, Xiao-Li Li, Zhiwei Hu, Yunxiao Zhao and Xiaoqi Han, "GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation", ACL (Findings), 2021. [PDF].

  94. Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li and Hu Zhang, "Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization", EMNLP, 2021. [PDF].

  95. Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li and Hongye Tan, "Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization", EMNLP, 2021. [PDF].

  96. Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, and Xiao-Li Li, "KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction", IEEE Transactions on Industrial Electronics, 2021. [PDF].

  97. Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu and Xiao-Li Li, "Contrastive Adversarial Knowledge Distillation for Deep Model Compression in Time-Series Regression Tasks", Neurocomputing, 2021. [PDF].

  98. Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An, "Planning Sequential Interventions to tackle Depression in Large Uncertain Social Networks using Deep Reinforcement Learning", Neurocomputing, 2021. [PDF].

  99. Yong Guan, Shaoru Guo, Ru Li, Xiao-Li Li, and Hu Zhang, "Frame Semantics Guided Network for Abstractive Sentence Summarization", Knowledge-Based Systems, 2021. [PDF].

  100. Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee-Keong Kwoh, Jiawei Luo and Xiao-Li Li*, "Graph Contextualized Attention Networks for Predicting Synthetic Lethality in Human Cancers", Bioinformatics, 2021. [PDF]. * Corresponding author

  101. Thanh-Tung Nguyeny, Xuan-Phi Nguyeny, Shafiq Joty, and Xiao-Li Li, "RST Parsing from Scratch", NAACL-HLT 2021. [PDF].

  102. Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee-Keong Kwoh and Xiao-Li Li, "Multi-view Collaborative Network Embedding", ACM Transactions on Knowledge Discovery from Data (TKDD), 2021. [PDF].

  103. Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan and Xiao-Li Li "Attention-Based Sequence to Sequence Model for Machine Remaining Useful Life Prediction ", Neurocomputing, 2021. [PDF].

  104. Jiyan Wu, Min Wu, Zhenghua Chen, Xiao-Li Li and Ruqiang Yan, "Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder", IEEE Transactions on Instrumentation and Measurement (TIM), 2021. [PDF].

  105. Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiao-Li Li, Liqiang Nie, "HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification", ACM Transactions on Information Systems, 2021. [PDF]. (More than 100 citations according to Google Scholar).

  106. Yahui Long, YuZhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li, "Heterogeneous graph attention networks for drug virus association prediction", Methods, 2021. [PDF].

  107. Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, Hongye Tan, "Frame-based Multi-level Semantics Representation for Text Matching", Knowledge-Based Systems, 2021. [PDF].

  108. Qian Peisheng, Chen Cong, Zhao Ziyuan, Zeng Zeng, Xiao-Li Li, "Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading", EMBC, 2021. [PDF].

  109. Xiao-Li Li, Peilin Zhao, Min Wu, Zhenghua Chen, and Le Zhang, "Deep learning for human activity recognition", Neurocomputing, 2021. [PDF].

  110. Jiyan Wu, Min Wu, Zhenghua Chen, Ruqiang Yan and Xiao-Li Li, "A Joint Classification-Regression Method for Multi-Stage Remaining Useful Life Prediction", Journal of Manufacturing Systems, 2021. [PDF].

  111. Shaoru Guo, Yong Guan, Hongye Tan, Ru Li, Land Xiao-Li Li, "Frame-based Neural Network for Machine Reading Comprehension", Knowledge-Based Systems, 2021. [PDF].

  112. Yujie Fu, Jian Liao, Yang Li, Suge Wang, Deyu Li, and Xiao-Li Li, "Multiple Perspective Attention Based on Double BiLSTM for Aspect and Sentiment Pair Extract", Neurocomputing, 2021. [PDF].

  113. Hao Zhifeng, Wu Di, Yuan Fang, Wu Min, Wu Min, Cai Ruichu, and Xiao-Li Li, "Prediction of Synthetic Lethal Interactions in Human Cancers using Multi-view Graph Auto-Encoder", IEEE Journal of Biomedical and Health Informatics (JBHI), 2021. [PDF].

  114. Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, and Xiao-Li Li, "Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-term Memory Networks", Edited book of Generalization With Deep Learning: For Improvement On Sensing Capability", World Scientific, 2021.
    115. [PDF].

  115. Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong and Xiao-Li Li, "HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems", WSDM 2020. [PDF].(Best Paper Award Runner-Up)

  116. Tanaya Chaudhuri, Min Wu, Yu Zhang, Pan Liu and Xiao-Li Li, "An Attention based deep sequential GRU model for sensor drift compensation", IEEE Sensors Journal, 2020. [PDF].

  117. Linmei Hu, Shuqi Yu, Bin Wu, Chao Shao, Xiaoli Li, "A neural model for joint event detection and prediction", Neurocomputing 407: 376-384, 2020. [PDF].

  118. Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Chee-Keong Kwoh, Ruqiang Yan and Xiao-Li Li, "Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction", IEEE Transactions on Industrial Informatics. [PDF].

  119. Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li*, "Recent Advances in Network-based Methods for Disease Gene Prediction", Briefings in Bioinformatics, 2021 [PDF]. * Corresponding author

  120. Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqian Yan, Xiaoli Li, "Adversarial Multiple-Target Domain Adaptation for Fault Classification", IEEE Transactions on Instrumentation and Measurement, 2020. [PDF].

  121. Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty, Xiaoli Li, "Differentiable Window for Dynamic Local Attention", ACL 2020. [PDF].

  122. Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty, Xiaoli Li, "Efficient Constituency Parsing by Pointing", ACL 2020. [PDF].

  123. Shaoru Guo, Ru Li, Hongye Tan, Xiaoli Li, Yong Guan and Hongyan Zhao, "A Frame-based Sentence Representation for Machine Reading Comprehension", ACL 2020. [PDF].

  124. Wenyue Zhang, Xiaoli Li, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng, "Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder", EMNLP 2020. [PDF].

  125. Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, Hongye Tan, "Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension", COLING 2020. [PDF].

  126. Hongyan Zhao, Ru Li, Xiaoli Li, Hongye Tan, "CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction", Knowledge-Based Systems 2020. [PDF].

  127. Zichao Zhang, Xiaofei Zhang, Min Wu, Le Ou-Yang, Xingming Zhao and Xiao-Li Li, "A Graph Regularized Generalized Matrix Factorization Model for Predicting Links in Biomedical Bipartite Networks", Bioinformatics, 2020. [PDF].

  128. Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, and Xiaoli Li, "Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks", BIBM 2020. [PDF].

  129. Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, "Global Context Enhanced Graph Neural Networks for Session-based Recommendation", SIGIR 2020. [PDF].(More than 100 citations according to Google Scholar).

  130. Zhenghua Chen, Min Wu, Rui Zhao, Feri Guretno, Ruqiang Yan and Xiao-Li Li, "Machine Remaining Useful Life Prediction via an Attention based Deep Learning Approach", IEEE Transactions on Industrial Electronics (TIE) 2020. [PDF].(More than 100 citations according to Google Scholar).

  131. Yahui Long, Min Wu, Yong Liu, Chee-Keong Kwoh, Jiawei Luo and Xiao-Li Li*, "Ensembling Graph Attention Networks for Human Microbe-Drug Association Prediction", 19th European Conference on Computational Biology (ECCB 2020), Bioinformatics special issue. [PDF]. * Corresponding author

  132. Yahui Long, Min Wu, Chee-Keong Kwoh, Jiawei Luo* and Xiao-Li Li*, "Predicting Human Microbe-Drug Associations via Graph Convolutional Network with Conditional Random Field", Bioinformatics, 2020. [PDF]. * Corresponding authors

  133. Zhenghua Chen, Min Wu, Wei Cui, Chengyu Liu and Xiao-Li Li, "An Attention Based CNN-LSTM Approach for Sleep-Wake Detection with Heterogeneous Sensors", IEEE Journal of Biomedical and Health Informatics (J-BHI), 2020. [PDF].

  134. Chuan Shi, Jiayu Ding, Xiaohuan Cao, Linmei Hu, Bin Wu and Xiaoli Li, "Entity set expansion in knowledge graph: a heterogeneous information network perspective", Frontiers of Computer Science, 2021.

  135. Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiao-Li Li and Raed Shubair, "Mahalanobis Distance based Adversarial Network for Anomaly Detection", 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). [PDF].

  136. Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng and Xiao-Li Li, "A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration", IEEE Transactions On Emerging Topics In Computational Intelligence, 2020. [PDF].

  137. Ziyuan Zhao, Kartik Chopra, Zeng Zeng , Xiaoli Li, "Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading", ICIP, 2020. [PDF].

  138. Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiao-Li Li, "We Mind YourWell-being: Preventing Depression in Uncertain Social Networks by Sequential Interventions", 30th International Conference on Automated Planning and Scheduling (ICAPS 2020). [PDF].

  139. Xuefeng Su, Ru Li, Xiao-Li Li, "Multi-domain Transfer Learning for Text Classification", Lecture Notes in Computer Science, NLPCC 2020.

  140. Zhuojia Wu, Yang Li, Jian Liao, Deyu Li, Xiao-Li Li, Suge Wang, "Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification", IEEE Access, 2020.

  141. Zhenghua Chen, Chaoyang Jiang, Mustafa K. Masood, Yeng Chai Soh, Min Wu, Xiaoli Li, "Deep Learning for Building Occupancy Estimation Using Environmental Sensors", in book "Deep Learning: Algorithms and Applications", Springer 2020.

  142. Yuxiang Zhang, Huan Liu, Bei Shi, Xiaoli Li, Suge Wang, "WEKE: Learning Word Embeddings for Keyphrase Extraction", APWeb-WAIM 2020.

  143. Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu and Xiao-Li Li, "Deep Learning with Long Short-Term Memory Networks for Classification of Dementia Related Travel Patterns", 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020).

  144. Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiao-Li Li, "Adversarial Transfer Learning for Machine Remaining Useful Life Prediction", IEEE International Conference on Prognostics and Health Management (ICPHM 2020). [PDF]. (Finalist Academic Paper Award)

  145. Zhenghua Chen, Le Zhang, Min Wu, Xiaoli Li, "Deep Learning based Human Activity Recognition for Healthcare Services", in book "Deep Learning for Biomedical Data Analysis: Techniques, Approaches and Applications", Springer 2020.

  146. Fang Yuan, Lin Wenqing, Zheng Vincent, Wu Min, Shi Jiaqi, Chang Kevin, Xiao-Li Li, "Metagraph-based Learning on Heterogeneous Graphs", IEEE Transactions on Knowledge and Data Engineering, June 2019. [PDF].

  147. Zhang Peng, Wang Suge, Li Deyu, Xiao-Li Li, Xu Zhikang, "Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model", IEEE Transactions on Knowledge and Data Engineering, June 2019. [PDF].

  148. Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji and Xiao-Li Li, "Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification", EMNLP 2019. [PDF].

  149. Zhenghua Chen, Chaoyang Jiang, Shili Xiang, Jie Ding, Min Wu, and Xiao-Li Li, "Smartphone Sensor Based Human Activity Recognition Using Feature Fusion and Maximum Full A Posteriori", IEEE Transactions on Instrumentation and Measurement, 2019. [PDF].

  150. Zhenghua Chen, Chaoyang Jiang, Mustafa K. Masood, Yeng Chai Soh, Min Wu, Xiaoli Li, "Deep Learning for Building Occupancy Estimation Using Environmental Sensors", Deep Learning: Algorithms and Applications , Springer, edited by Witold Pedrycz, Shyi-Ming Chen. [PDF].

  151. Vincent Zheng, Hongyun Cai, Thanh Tung Nguyen, Yan Li, Binbin Chen, Gao Cong and Xiao-Li Li, "Modeling Marked Temporal Point Process Using Multi-relation Structure RNN", Cognitive Computation. [PDF].

  152. Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Tay Yi, Yiding Liu, Cong Gao, Xiao-Li Li, "Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation,", 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2019. [PDF].

  153. Shudong Liu, Xiao-Li Li, Shili Xiang, and Min Wu, "Mobile Robot Routing with Energy Consumption Optimization", ICRAI 2019. [PDF].

  154. Liu Yong, Wu Min, Liu Chenghao, Xiao-Li Li, Zheng Jie, "SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization", IEEE/ACM Transactions on Computational Biology and Bioinformatics. [PDF].

  155. Chen Zhenghua, Wu Min, Wu Jiyan, Ding Jie, Zeng Zeng, Xiao-Li Li, Karl Surmacz, "A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data", IEEE International Conference on Biomedical and Health Informatics (BHI'19) [PDF].

  156. Yang Li, Ying Lv, Suge Wang, Jiye Liang, Juanzi Li, and Xiao-Li Li, "Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification", Symmetry 2019, 11(2), 133. [PDF].

  157. Ali Ezzat, Min Wu, Xiao-Li Li, and Chee-Keong Kwoh, "Computational Prediction of Drug-Target Interactions via Ensemble Learning", Computational Methods for Drug Repurposing (part of the Methods in Molecular Biology book series), Edited by Quentin Vanhaelen, 2019.

  158. Bo Zhang, Wei Li, Xiao-li Li, See-Kiong Ng "Intelligent fault diagnosis under varying working conditions based on domain adaptive convolutional neural networks", IEEE Access 2018. [PDF].

  159. Ali Ezzat, Min Wu, Xiao-Li Li*, and Chee-Keong Kwoh, "Computational prediction of drug target interactions using chemogenomic approaches: an empirical survey", Briefings in Bioinformatics, 2018, 1 21 [PDF]. * Corresponding author (More than 100 citations according to Google Scholar).

  160. Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin, "Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback", IJCAI 2018. [PDF].

  161. Ali Zonoozi, Kim Jung Jae, Xiao-Li Li, Cong Gao, "Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns", IJCAI 2018. [PDF].(More than 100 citations according to Google Scholar).

  162. Xiaohuan Cao, Chuan Shi, Yuyan Zheng, Jiayu Ding, Xiao-Li Li, Bin Wu, "A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph", PAKDD 2018 [PDF].

  163. Jiangtao Zhang, Juanzi Li, Shuai Wang, Yan Zhang, Yixin Cao, Lei Hou, Xiao-Li Li, "Category Multi-Representation: A Unified Solution for Named Entity Recognition in Clinical Texts", PAKDD 2018 [PDF].

  164. Jiangtao Zhang, Juanzi Li, Xiao-Li Li, LiYixin Cao, Lei Hou, Shuai Wang, " Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition", DASFAA 2018.

  165. Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiao-Li Li, and Bin Wu, "A Meta Path based Method for Entity Set Expansion in Knowledge Graph", IEEE Transactions on Big Data. [PDF].

  166. Sezin Kircali Ata, Le Ou-Yang, Yuan Fang, Chee-Keong Kwoh, Min Wu and Xiao-Li Li, "Integrating Node Embeddings and Biological Annotations for Genes to Predict Disease-Gene Associations", BMC Systems Biology, 2018. [PDF].

  167. Sujatha Das Gollapalli, and Xiao-Li Li, " Using page rank for characterizing topic quality in LDA", ICTIR Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018.

  168. Shudong Liu, Xiaoli Li, Shili Xiang " Vehicle Scheduling with Multiple Trips and Time Windows and Long Planning Horizon", IEEE International Conference on Intelligent Rail Transportation (ICIRT), 2018

  169. Shili Xiang, Dong Huang, Xiao-Li Li, LiYixin Cao, Lei Hou, Shuai Wang, " A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs", TENCON 2018.

  170. Sezin Kircali Ata, Yuan Fang, Min Wu, Xiao-Li Li, Xiao-Li Li, Xiaokui Xiao, "Disease Gene Classification with Metagraph Representations ", Edited by Mamitsuka, Hiroshi, Springer Protocols, Humana Press, 2018. Data Mining for Systems Biology. [Link].

  171. Sezin Kircali Ata, Le Ou-Yang, Yuan Fang, Chee-Keong Kwoh, Min Wu and Xiao-Li Li, "Integrating Node Embeddings and Biological Annotations for Genes to Predict Disease-Gene Associations ", BMC Systems Biology , 2018. [PDF].

  172. Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jie Zhang, Jun Liu, Andreas Rauber, Xiao-Li Li, Jun Wang, Hongyuan Zha, "Low-rank Decomposition Meets Kernel Learning: A Generalized Nystrom Method", Artificial Intelligence, Vol 250, Pg 1 15 2017, [PDF].

  173. Yuxiang Zhang, Yaocheng Chang, Xiaoqing Liu, Sujatha Das Gollapalli, Xiao-Li Li, Chunjing Xiao, "MIKE: Keyphrase Extraction by Integrating Multidimensional Information, CIKM 2017. [PDF].

  174. Wang Yangtao, Chen Lihui, Xiao-Li Li, "Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization", IJCAI 2017. [PDF].

  175. Liu Yong, Zhao Peilin, Liu Xin, Wu Min, Duan Lixin, Xiao-Li Li, "Learning User Dependency for Recommendation", IJCAI 2017. [PDF].

  176. Lei Hou, Juanzi Li, Xiao-Li Li, Jie Tang, Xiaofei Guo, "Learning to Align Comments to News Topic", ACM Transactions on Information Systems [PDF].

  177. Le Ou-Yang, Xiao-Fei Zhang,Min Wu, Xiao-Li Li, "Node-based Learning of Differential Networks from Multi-platform Gene Expression Data", Methods, 2017, Volume129, p41-49. [PDF].

  178. Ali Ezzat, Min Wu, Xiao-Li Li and Chee-Keong Kwoh, "Drug-Target Interaction Prediction using Ensemble Learning and Dimensionality Reduction", Methods, Volume129, p81-88, 2017 [PDF].

  179. Jian Liao, Suge Wang, Deyu Li, Xiao-Li Li, "FREERL: Fusion relation embedded representation learning framework for aspect extraction", Knowledge-Based Systems 135 (2017) 9 17. [PDF].

  180. Sezin Ata Kircali, Yuan Fang, Min Wu, Xiao-Li Li and Xiaokui Xiao, "Disease Gene Classification with Metagraph Representations Article", Methods, Volume 131, P83-92, 2017. [PDF].

  181. Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiao-Li Li, Bin Wu, "Entity Set Expansion with Meta Path in Knowledge Graph", PAKDD 2017, [PDF].

  182. Sujatha Das Gollapalli, Xiao-Li Li, Peng Yang, "Incorporating Expert Knowledge into Keyphrase Extraction", AAAI 2017, [PDF].

  183. Linmei Hu, Juanzi Li, Liqiang Nie, Xiao-Li Li, Chao Shao, "What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM", AAAI 2017, [PDF].

  184. Phyo Phyo San, Pravin Kakar, Xiao-Li Li, Priyadarsini Krishnaswamy Shonali Jian-Bo Yang, Minh Nhut Nguyen, "Deep learning for human activity recognition", Big Data Analytics for Sensor-Network Collected Intelligenc, 2017, [PDF].

  185. Fei Wang, Xiao-Li Li, Jason T. L. Wang, See-Kiong Ng " Guest editorial: Special section on biological data mining and its applications in healthcare", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017.

  186. Yong Liu, Min Wu, Peilin Zhao,Xiao-Li Li, "Matrix Factorization for Drug-Target Interaction Prediction", High Performance Computing for Big Data: Methodologies and Applications, Edited by Chao Wang, ISBN: 978-1498783996, CRC Press, October 2017. [link].

  187. Fei Wang,Xiao-Li Li, Jason T. L. Wang, and See-Kiong Ng, "Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare", IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol 14, No. 3, 2017, [PDF].

  188. Shili Xiang, Lu Li, Si Min Lo, Xiao-Li Li, People-Centric Mobile Crowdsensing Platform for Urban Design. ADMA 2017.

  189. Shudong Liu, Huayu Wu, Shili Xiang, Xiao-Li Li, Mobile Robot Scheduling with Multiple Trips and Time Windows. ADMA 2017.

  190. Xu Zhiqiang Zhao Peilin, Cao Jianneng, Xiao-Li Li, "Matrix Eigendecomposition via Doubly Stochastic Riemannian Optimization", ICML 2016, [PDF].

  191. Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiao-Li Li, and Guangxia Li, "Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data", EMNLP 2016, [PDF].

  192. Yang Peng, Peilin Zhao, Hai Zhen, Wei Liu , Steven C.H. Hoi, Xiao-Li Li, "An Efficient Selective Sampling Algorithm for Multi-class Classification on Graphs", UAI 2016, [PDF].

  193. Xin Liu, Yong Liu, Xiao-Li Li, "Exploring the Context of Locations for Personalized Location Recommendations", IJCAI 2016, [PDF]. (More than 100 citations according to Google Scholar).

  194. Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiao-Li Li, "Network Motif Discovery: A GPU Approach", IEEE Transactions on Knowledge and Data Engineering (TKDE), [PDF]. (Special Issue on the Best Papers of ICDE 2015 )

  195. Ali Ezzat, Min Wu,Xiao-Li Li, and Chee Keong Kwoh, "Drug-target interaction prediction via class imbalance-aware ensemble learning", InCoB (BMC Bioinformatics) 2016, [Link]. (BEST PAPER AWARD)(More than 100 citations according to Google Scholar).

  196. Lei Hou, Juanzi Li, Xiao-Li Li, Jianbin Jin, "Detecting Public Influence on News Using Topic-aware Dynamic Granger Test, ", ECML/PKDD 2016. [PDF].

  197. Min Wu, Ou-Yang Le, Xiao-Li Li, "Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-complex Affinity Scores", IEEE IEEE/ACM Transactions on Computational Biology and Bioinformatics 2016, [PDF].

  198. Ali Ezzat, Zhao Peilin, Wu Min, Xiao-Li Li, Kwoh Chee Keong, "Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization", IEEE IEEE/ACM Transactions on Computational Biology and Bioinformatics 2016, [PDF]. More than 200 citations according to Google Scholar )

  199. Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiao-Li Li, Hong Yan, "A Two-Layer Integration Framework for Protein Complex Detection", BMC Bioinformatics. [PDF].

  200. Eran Shaham, Honghai Yu and Xiao-Li Li, "On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach", SDM 2016, [PDF].

  201. Peng Yang, Peilin Zhao, Guangxia Li, Xiao-Li Li, and Sujatha Das Gollapalli, "Learning Correlative and Personalized Structure for Online Multi-Task Classication", SDM 2016, [PDF].

  202. Yuan Fang, Wenqing Lin, Vincent Zheng, Min Wu, Kevin Chang, and Xiao-Li Li, "Semantic Proximity Search on Graphs with Metagraph-based Learning", ICDE 2016, [PDF].

  203. Sateesh Babu Giduthuri, Peilin Zhao and Xiao-Li Li,"Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life", DASFAA, 2016 [PDF]. (More than 500 citations according to Google Scholar).

  204. Jiangtao Zhang, Juanzi Li, Xiao-Li Li, Yao Shi and Junpeng Li,"Domain-Specific Entity Linking via Fake Named Entity Detection", DASFAA, 2016 [PDF].

  205. Sateesh Babu Giduthuri, Xiao-Li Li, and Suresh Sundaram, "Meta-cognitive Regression Neural Network for Function Approximation: Application to Remaining Useful Life Estimation", IJCNN, 2016 [PDF].

  206. Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiao-Li Li, "Neighborhood Regularized Logistic Matrix Factorization for Drug-target Interaction Prediction", PLOS Computational Biology, 2016, [PDF]. (More than 200 citations according to Google Scholar )

  207. Yuxiang Zhang, Lulu wang, Xiao-Li Li, and Chunjing Xiao, "Social Identity Link across Incomplete Social Information Sources Using Anchor Link Expansion", PAKDD 2016, [PDF].

  208. Peilin Zhao, Zhuang Furen, Wu Min, Xiao-Li Li and Steven C. H. Hoi, "Data Stream Cost-Sensitive Classification with Adaptive Regularization and Its Applications", ICDM 2015, [PDF].

  209. Peng Yang, Peilin Zhao, Vincent Zheng, Xiao-Li Li, "An Aggressive Graph-based Selective Sampling Algorithm for Classification", ICDM 2015, [PDF].

  210. Sujatha Das Gollapalli and Xiao-Li Li, "EMNLP versus ACL: Analyzing NLP research over time", EMNLP 2015, [PDF].

  211. Linmei Hu, Juanzi Li, Xiao-Li Li, Chao Shao, and Xuzhong Wang, "TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering", EMNLP 2015, [PDF].

  212. Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juanzi Li and Xiao-Li Li, Chao Shao, Jie Tang, Yongbin Liu, "Learning Topic Hierarchies for Wikipeida Categories", ACL 2015, [PDF].

  213. Jian-Bo Yang, Minh Nhut Nguyen, Phyo Phyo San, Xiao-Li Li, Priyadarsini Krishnaswamy Shonali, "Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition", IJCAI 2015, [PDF]. (More than 1000 citations according to Google Scholar)

  214. Li Xutao, Gao Cong, Xiao-Li Li, Tuan-Anh Nguyen Pham, Shonali Krishnaswamy, "Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation", SIGIR 2015, [PDF]. (More than 300 citations according to Google Scholar).

  215. Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiao-Li Li, "Network Motif Discovery: A GPU Approach", ICDE 2015, [PDF].

  216. Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Shonali Priyadarsini Krishnaswamy, Wei Wu, Joao Bartolo Gomes, Amy Shi-Nash, Xiao-Li Li, "CDR-To-MoVis: Developing A Mobility Visualization System From CDR Data", ICDE 2015. [PDF].

  217. Xutao Li, Pham Nguyen Tuan Anh, Gao Cong, Quan Yuan, Xiao-Li Li and Shonali Priyadarsini Krishnaswamy, "Where you Instagram? Associate your Instagram photos with Points of Interest", CIKM 2015, [PDF].

  218. Huang Dong, Shuguo Han, Xiao-Li Li, Philip S. Yu, "Orthogonal mechanism for answering batch queries with differential privacy", International Conference on Scientific and Statistical Database Management, SSDBM 2015, [PDF].

  219. Shukai Li, Xiao-Li Li, Whye Loon Tung, and Kelvin Sim, "Behaviors and Profit based Sales Campaign Design", ICTAI 2015. [PDF].

  220. Girish Kumar, Jian Min Sim, Eng Yeow Cheu and Xiao-Li Li, "Stochastic Least Squares Learning for Deep Architectures", IJCNN 2015, [PDF].

  221. Lei Liao, Xiao-Li Li, Andy W. H. Khong, and Xin Liu, "Analysis of the Noise Robustness Problem and a New Blind-channel Identification Algorithm", IEEE International Conference on Digital Signal Processing (DSP 2015), [PDF].

  222. Huang Dong, Han Shuguo, Xiao-Li Li, "Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy", Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015), [PDF].

  223. Zhipeng Xie, Liyang Jiang, Tengju Ye, Xiao-Li Li, " A Synthetic Minority Oversampling Method based on Local Densities in Low-Dimensional Space for Imbalanced Learning ", DASFAA 2015, [PDF].

  224. Lei Hou, Juanzi Li, Xiao-Li Li, Yu Su, "Measuring the Influence from User-Generated Content to News via Cross-dependency Topic Modeling ", DASFAA 2015, [PDF].

  225. Chee Keong Kwoh, Xiao-Li Li, Jie Zheng, Sung-Bae Cho, " A special section on computational systems for medical and health informatics, ", Journal of Medical Imaging and Health Informatics, American Scientific Publishers, 2015

  226. Fan Zhang, Min Wu, Xuejuan Li, Xiao-Li Li, Chee Keong Kwoh and Jie Zheng, "Predicting Essential Genes and Synthetic Lethality via Influence Propagation in Signaling Pathways of Cancer Cell Fates", Journal of Bioinformatics and Computational Biology (JBCB), Vol. 13, No. 3, 2015, [PDF].

  227. Xiao-Li Li, and Jie Zheng "Introduction to the CSBio2014 special issue", Journal of Bioinformatics and Computational Biology (JBCB), Vol. 13, No. 3, 2015, [PDF].

  228. Lei Liao, Fei Xue, Miao Lin, Xiao-Li Li and Shonali Priyadarsini Krishnaswamy, "Human Activity Classification in People Centric Sensing Exploiting Sparseness Measurement", ICICS 2015.

  229. Hong Cao, Chunyu Bao, Xiao-Li Li, Yew-Kwong Woon, "Class Augmented Active Learning", SDM 2014, [PDF].

  230. Min Wu, Xuejuan Li, Fan Zhang, Xiao-Li Li, Chee-Keong Kwoh and Jie Zheng, "In Silico Prediction of Synthetic Lethality by Meta-Analysis of Genetic Interactions, Functions, and Pathways in Yeast and Human Cancer", Cancer Informatics, 2014:13(S3) P71-80, [PDF].

  231. Le Ou-Yang, Dao-Qing Dai*, Xiao-Li Li*, Min Wu, Xiao-Fei Zhang, Peng Yan, " Detecting temporal protein complexes from dynamic protein-protein interaction networks ", BMC Bioinformatics, 15(1):335, 2014, [PDF] , * Corresponding author.

  232. Min Wu, Chee-Keong Kwoh, Xiao-Li Li, and Jie Zheng "Finding Trans-Regulatory Genes and Protein Complexes Modulating Meiotic Recombination Hotspots of Human, Mouse and Yeast", BMC Systems Biology 8:107, 2014, [PDF] .

  233. Peng Yang, Xiaoquan Su, Le Ouyang, Hon-Nian Chua, Xiao-Li Li, " Kang Ning, Microbial community pattern detection in human body habitats via ensemble clustering framework, BMC Systems Biology 2014, 8(Suppl 4):S7, [PDF] .

  234. Wei Wu, Yue Wang, Joao Bartolo Gomes, Dang The Anh, James Decraene, Spiros Antonatos, Mingqiang Xue, Peng Yang, Ghim-Eng Yap, Xiao-Li Li, Shonali Krishnaswamy and Amy Shi-Nash, "Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling", MDM 2014 , [PDF].

  235. Sujatha Das Gollapalli, Cornelia Caragea, Xiao-Li Li, and C. Lee Giles, " Tutorial on "Document Analysis and Retrieval Tasks in Scientific Digital Libraries." In: Proceedings of the the 8th Russian Summer School in Information Retrieval (RuSSIR 2014), Nizhny Novgorod, Russia, 2014, [PDF].

  236. Vijay Chandrasekhar, Wu Min, Xiao-Li Li, Cheston Tan, Liyuan Li, Joo-Hwee Lim, "Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data", ICPR 2014, [PDF].

  237. Heidar Davoudi, Xiao-Li Li, Nguyen Minh Nhut and Shonali Priyadarsini Krishnaswamy, "Activity Recognition Using a Few Label Samples", PAKDD 2014, [PDF].

  238. Xiao-Li Li , See-Kiong Ng, Jason T L Wang, Fei Wang, "Preface: Fifth workshop on biological data mining and its applications in healthcare", IEEE ICDM BioDM Workshop 2014.

  239. Vijay Chandrasekhar, Wu Min, Xiao-Li Li, Cheston Tan, Bappaditya Mandal, Liyuan Li, Joo-Hwee Lim, " Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation",IEEE International Conference on Computer Vision and Pattern Recognition (CVPR Workshop on Egocentric Vision), 2014 [PDF].

  240. Manoranjan Dash, Gim Guan Chua, Hai-Long Nguyen, Ghim-Eng Yap, Cao Hong, Xiao-Li Li, Shonali Krishnaswamy, James Decraene and Amy Shi-Nash,"An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data, MDM (DEMO) 2014, [PDF].

  241. Jian-Ping Mei, Chee-Keong Kwoh, Peng Yang, Xiao-Li Li, " Classification and its application to drug-target prediction", World Scientific, 2014, [PDF].(More than 100 citations according to Google Scholar)

  242. Peng Yang, Xiao-Li Li*, Hon Nian Chua, Chee-Keong Kwoh and See-Kiong Ng, "Ensemble Positive Unlabeled Learning for Disease Gene Identification, PLoS ONE 9(5) 2014, * Corresponding author , [PDF].

  243. Manoranjan Dash, Hai-Long Nguyen, Hong Cao, Ghim-Eng Yap, Minh Nhut Nguyen, Xiao-Li Li, Shonali Krishnaswamy, James Decraene, Spiros Antonatos, Yue Wang, Dang The Anh and Amy Shi-Nash,"Home and Work Place Prediction for Urban Planning Using Mobile Network Data, HuMoComp 2014, [PDF].

  244. Hong Cao, Xiao-Li Li, Yew-Kwong Woon and See-Kiong Ng, "Integrated Oversampling for Imbalanced Time Series Classification", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2013, [PDF]. (More than 100 citations according to Google Scholar).

  245. Lei Hou, Juanzi Li, Xiao-Li Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang, " What Users Care about: a Framework for Social Content Alignment", IJCAI 2013, [PDF]

  246. Xiao-Li Li, Bing Liu, " Rule-based Classificationt", Charu Aggarwal (Eds.) Data Classification: Algorithms and Applications (2013), CRC Press, [PDF]

  247. Xiao-Li Li , See-Kiong Ng, Jason T L Wang, Andrea Bertotti, Alessandro Fiori, "Preface: Fourth workshop on biological data mining and its applications in healthcare", IEEE ICDM BioDM Workshop 2013.
  248. Daniel Lin-Kit Wong*, Xiao-Li Li*, Min Wu, Jie Zheng and See-Kiong Ng, " PLW: Probabilistic Local Walks for Detecting Protein Complexes from Protein Interaction Networks", BMC Genomics (InCob 2013), * Corresponding author. [PDF]

  249. Henry Han, Xiao-Li Li, and See-Kiong Ng, " Multi-Resolution-Test for Consistent Phenotype Discrimination and Biomarker Discovery in Translational Bioinformatics", JBCB (GIW 2013) [PDF].

  250. Min Wu, Zhipeng Xie, Xiao-Li Li, Chee-Keong Kwoh, Jie Zheng, "Identifying Protein Complexes From Heterogeneous Biological Data", PROTEINS: Structure, Function, and Bioinformatics, [PDF].

  251. Min Wu, Xuejuan Li, Fan Zhang, Xiao-Li Li, Chee-Keong Kwoh and Jie Zheng, "Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer, ", ACM BCB, [PDF].

  252. Wei Wu, Eng Yeow Cheu, Yuzhang Feng, Duy Ngan Le, Ghim Eng Yap, Xiao-Li Li, " Studying Intercity Travels and Traffic Using Cellular Network Data", NetMob 2013 [PDF].

  253. Min Wu, Qi Yu, Xiao-Li Li, Jie Zheng, Jing-Fei Huang, Chee-Keong Kwoh, "Benchmarking Human Protein Complexes to Investigate Drug-Related Systems and Evaluate Predicted Protein Complexes", PLOS ONE, 2013, [PDF] .

  254. Jian-Ping Mei, Chee-Keong Kwoh, Peng Yang, Xiao-Li Li, and Zhengjie, "Drug-Target Interaction Prediction by Learning From Local Information and Neighbors", Bioinformatics (2013) 29(2): 238-245 . [PDF] .(More than 300 citations according to Google Scholar).

  255. Zhiqiang Toh, Wenting Wang, Man Lan, and Xiaoli Li, "An NER-based Product Identification and Lucene-based Product Linking Approach to CPROD1 Challenge", CPROD1: Workshop on the ICDM 2012 Contest on Consumer PRODuct Mention Recognition and Linking (Ranked top 5 in the ICDM 2012 Challenge).

  256. Peng Yang, Xiao-Li Li*, Jian-Ping Mei, Chee-Keong Kwoh and See-Kiong Ng, "Positive-Unlabeled Learning for Disease Gene Identification", Bioinformatics, Vol 28(20), 2012, * Corresponding author. [PDF] .(More than 100 citations according to Google Scholar )

  257. Hong Cao, Minh Nhut Nguyen, Clifton Chun Wei Phua, Shonali Priyadarsini Krishnaswamy, and Xiao-Li Li, "An Integrated Framework for Human Activity Classification", ACM International Conference on Ubiquitous Computing (2012). [PDF] .

  258. Min Wu, Chee Keong Kwoh, Xiao-Li Li and Jie Zheng, "NetPipe: A Network-based Pipeline for Discovery of Genes and Protein Complexes Regulating Meiotic Recombination Hotspots, ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB). Orlando, FL, 2012. [PDF] .

  259. Jian-Ping Mei, Chee-Keong Kwoh, Peng Yang, Xiao-Li Li and Jie Zheng , "Globalized Bipartite Local Learning Model for Drug-Target Interaction Prediction, The 11th International Workshop on Data Mining in Bioinformatics (BIO-KDD'12) , [PDF]

  260. Xiao-Li Li , See-Kiong Ng, Jason T L Wang, "Preface: Third workshop on biological data mining and its applications in healthcare", IEEE ICDM BioDM Workshop 2012.

  261. Hong Cao, Minh Nhut Nguyen, Clifton Chun Wei Phua, Shonali Priyadarsini Krishnaswamy, and Xiao-Li Li, "An Integrated Framework for Human Activity Recognition", ACM International Conference on Ubiquitous Computing (2012), [Poster PDF] .

  262. Minh Nhut Nguyen, Chunyu Bao, Kar Leong Tew, Sintiani Dewi Teddy, and Xiao-Li Li, "Ensemble based Real-time Adaptive Classification System for Intelligent Sensing Machine Diagnostics", IEEE Transactions on Reliability, VOL. 61, NO. 2, JUNE 2012, [PDF] .

  263. Minh Nhut Nguyen, Xiao-Li Li, See-Kiong Ng, "Ensemble Based Positive Unlabeled Learning for Time Series Classification", Lecture Notes in Computer Science, 2012, Volume 7238, Database Systems for Advanced Applications, Pages 243-257 (International Conference on Database Systems for Advanced Applications, DASFAA 2012). [PDF]

  264. Ghim Eng Yap, Xiao-Li Li, Philip S. Yu, "Effective Next-Items Recommendation via Personalized Sequential Pattern Mining", Lecture Notes in Computer Science, 2012, Volume 7239, Database Systems for Advanced Applications, Pages 48-64 (International Conference on Database Systems for Advanced Applications, DASFAA 2012). [PDF]

  265. Ching Chuen Teck, Xiang Li, Junhong Zhou, Xiao-Li Li, Hong Cao, Yew-Kwong Wong, "Hybrid Rebalancing Approach to Handle Imbalanced Dataset for Fault Diagnosis in Manufacturing Systems", IEEE Conference on Industrial Electronics and Applications (ICIEA), 2012.

  266. Hong Cao, Xiao-Li Li, Yew-Kwong Woon, See-Kiong Ng, "SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification", IEEE International Conference on Data Mining (ICDM 2011). [PDF]

  267. Peng Yang, Xiao-Li Li, Min Wu, Chee-Keong Kwoh, See-Kiong Ng, "Inferring Gene-Phenotype Associations via Global Protein Complex Network Propagation", PLoS ONE 6(7), 2011. [PDF](More than 100 citations according to Google Scholar).

  268. Wei Wei, Gao Cong, Xiao-Li Li, See-Kiong Ng, Guohui Li, "Integrating Community Question and Answer Archives", Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-11), San Francisco, USA, August 7-11, 2011. [PDF]

  269. Zhipeng Xie, Chee-Keong Kwoh, Xiao-Li Li*, Min Wu, "Construction of Co-complex Score Matrix for Protein Complex Prediction from AP-MS Data ", Bioinformatics [ISMB/ECCB] 27(13): 159-166 (2011). * Corresponding author [PDF]

  270. Minh Nhut Nguyen, Xiao-Li Li, See-Kiong Ng, "Positive Unlabeled Learning for Time Series Classification", Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Spain, July 16-22, 2011. [PDF] (More than 100 citations according to Google Scholar).

  271. Xiao-Li Li, Aloysius Tan, Philip S. Yu, and See-Kiong Ng, "ECODE: Event-Based Community Detection from Social Networks", Proceedings of Database Systems for Advanced Applications(DASFAA, 2011), Hong Kong, April, 22-25, 2011. (BEST PAPER RUNNER-UP AWARD FOR DASFAA 2011) [PDF]

  272. Kar Leong Tew, Nguyen Minh Nhut, Sintiani Dewi Teddy, Xiao-Li Li, "Real-time Adaptive Classification System for Intelligent Sensing in Manufacturing Environment (A Feasibility Study)", IEEE International Conference on Granular Computing, Taiwan, 2011.

  273. Xiao-Li Li , See-Kiong Ng, Jason T L Wang, "Preface: Second workshop on biological data mining and its applications in healthcare", IEEE ICDM BioDM Workshop 2011.

  274. Min Wu, Xiao-Li Li*, Chee-Keong Kwoh, See-Kiong Ng, Limsoon Wong, "Discovery of Protein Complexes with Core-Attachment Structures from TAP Data ", Journal of Computational Biology, 18 (0), 2011. * Corresponding author [PDF]

  275. Xiaoxu Han, Xiao-Li Li, "Multi-resolution Independent Component Analysis for High-Performance Tumor Classification and Biomarker Discovery", APBC 2011, BMC Bioinformatics. [PDF]

  276. Kar Leong Tew, Sintiani D. T. , Watt P.Y., Xiao-Li Li, "A Systematic Approach towards Manufacturing Health Management", Proceedings of IEEE Conf Prognostics System Health Management, 2011.

  277. Tran To Chinh Su, Stephanus Daniel Handoko, Christian Schonbach, Xiao-Li Li, and Chee Keong Kwoh, "A Possible Mutation that Enables H1N1 Influenza A Virus to Escape Antibody Recognition ", IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2010), Hong Kong, Dec. 18-21, 2010. [PDF]

  278. Xiao-Li Li, Bing Liu and See-Kiong Ng, "Negative Training Data Can Be Harmful to Text Classification", Conference on Empirical Methods in Natural Language Processing (EMNLP 2010), Massachusetts, USA, October 9-11, 2010. [PDF]

  279. Min Wu, Xiao-Li Li *, Hon Nian Chua, Chee-Keong Kwoh and See-Kiong Ng, "Integrating Diverse Biological and Computational Sources for Reliable Protein-Protein Interactions", InCoB 2010, BMC Bioinformatics 2010, 11(Suppl 7):S8, [PDF] * Corresponding author

  280. Xiao-Li Li and See-Kiong Ng, "Preface: First workshop on biological data mining and its applications in healthcare", IEEE ICDM BioDM Workshop 2010.

  281. Xiao-Li Li, Lei Zhang, Bing Liu and See-Kiong Ng, "Distributional Similarity vs. PU Learning for Entity Set Expansion", ACL 2010. [PDF]

  282. Xiao-Li Li, Min Wu, Chee-Keong Kwoh and See-Kiong Ng, "Computational approaches for detecting protein complexes from protein interaction networks: a survey", BMC Genomics 2010, 11(Suppl 1):S3 [PDF] (More than 300 citations according to Google Scholar).

  283. Hon Nian Chua, Willy Hugo, Guimei Liu, Xiao-Li Li, Limsoon Wong and See-Kiong Ng, "A probabilistic graph-theoretic approach to integrate multiple predictions for the protein-protein subnetwork prediction challenge ", Annals of the New York Academy of Sciences, Vol 1158:224-33, 2009.[PDF]

  284. Min Wu, Xiao-Li Li *, Chee-Keong Kwoh and See-Kiong Ng, "A Core-Attachment based Method to Detect Protein Complexes in PPI Networks ", BMC Bioinformatics, Vol 10:169, 2009.[PDF] * Corresponding author (More than 300 citations according to Google Scholar).

  285. Kar Leong Tew and Xiao-Li Li (2009) “Discovering Lethal Proteins in Protein Interaction Network ”, in Biological Data Mining in Protein Interaction Networks, ", X.-L. Li and S.-K. Ng (Eds.), IGI Global, USA. 2009.

  286. Xiao-Li Li , Philip S. Yu, Bing Liu, See-Kiong Ng, "Positive Unlabeled Learning for Data Stream Classification", SIAM International Conference on Data Mining (SDM), 2009.[PDF] (More than 100 citations according to Google Scholar )

  287. Xiao-Li Li , Chuan-Sheng Foo, Kar Leong Tew, See-Kiong Ng, "Searching for Rising Stars in Bibliography Networks", Database Systems for Advanced Applications(DASFAA), 2009.[PDF]

  288. Xiao-Li Li(2009) “Partially Supervised Text Categorization ”, Handbook of Research on Text and Web Mining Technologies, Min Song, Yi-Fang Brook Wu (Ed.), IGI Global, USA. 2009.

  289. Hon Nian Chua, Kar Leong Tew, Xiao-Li Li, Seekiong Ng, "A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks",Proceedings of 20th IEEE Int'l Conference on Tools with Artificial Intelligence, Australia, Ohio, USA, November 3-5, 2008. [PDF]

  290. Min Wu, Xiao-Li Li, Chee-Keong Kwoh, "Algorithms for Detecting Protein Complexes in PPI Networks: An Evaluation Study", Proceedings of Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2008), Australia, Oct, 15-17, 2008. [PDF]

  291. Xiao-Li Li and See-Kiong Ng (2008) “Positive Unlabeled Learning for Document Classification”, in Encyclopedia of Data Warehousing and Mining (2nd Edition), J. Wang (Ed), IGI Global, USA, 2008.

  292. Xiao-Li Li, Jun-Xiang. Lee, B. Veeravalli, See-Kiong Ng, “Inferring Transcription Factor Interactions Using a Novel HV-SVM Classifier,” International Journal of Computational Biology and Drug Design, 2008. IJCBDD

  293. Min Wu Xiaoli Li, Chee-Keong Kwoh, "Semantic labeling to identify reliable interactions in the protein interaction network", Proceedings of The 2nd International Conference on Bioinformatics and Biomedical Engineering (ICBBE 2008), Shanghai,China. Paper in IEEE

  294. Xiao-Li Li, Seekiong Ng. " Mining for domain dependency sets from protein interactions", 12th Annual International Conference Research in Computational Molecular Biology ( POSTER, RECOMB 2008), Singapore, (BEST POSTER AWARD).

  295. Kar Leong Tew, Xiao-Li Li and Soon-Heng Tan. "Functional Centrality: Detecting lethality of proteins in protein interaction networks.", Proceedings of 18th International Conference on Genome Informatics (GIW2007). [PDF]

  296. Xiao-Li Li, Bing Liu, Seekiong Ng. " Learning to Classify Documents with Only a Small Positive Training Set", Proceedings of The 18th European Conference on Machine Learning (ECML/PKDD-2007), [PDF]

  297. Xiao-Li Li, Chuan-Sheng Foo, See-Kiong Ng, "Discovering Protein Complexes in Dense Reliable Neighborhoods of Protein Interaction Networks", LSS 6th Annual International Conference on Computational Systems Bioinformatics, CSB-2007, P157-168. [PDF] (More than 100 citations according to Google Scholar )

  298. Xiao-Li Li, Bing Liu, Seekiong Ng. "Learning to Identify Unexpected Instances in the Test Set .", Proceedings of Twentieth International Joint Conference on Artificial Intelligence, P2802-2807, India, 2007 (IJCAI-07)), [PDF]

  299. Xiao-Li Li, Jun-Xiang Lee, Bharadwaj Veeravalli, and See-Kiong Ng. "An HV-SVM Classifier to Infer TF-TF Interactions using Protein Domains and GO Annotations", Proceedings of the IEEE 7th International Symposium on Bioinformatics and Bioengineering (BIBE 2007) Boston, USA, October 14-17, 2007. [PDF]

  300. Xiao-Li Li, Yin-Chet Tan, and See-Kiong Ng, "Systematic Gene Function Prediction from Gene Expression Data by Using a Fuzzy Nearest-Cluster Method", BMC Bioinformatics, 7(Suppl 4): S23, 2006. [PDF]

  301. Xiao-Li Li, Soon-Heng Tan, and See-Kiong Ng, “Unraveling Multi-Domain Dependencies in protein-Protein Interactions", The First International Conference on Computational Systems Biology, Shanghai, China, July 20-23, 2006. [PDF]

  302. Xiao-Li Li, Soon-Heng Tan, and See-Kiong Ng. "Improving domain-based protein interaction prediction using biologically-significant negative dataset.", International Journal of Data Mining and Bioinformatics (IJDMB), Volume 1, Number 2, P138 - 149, 2006. [PDF]

  303. Xiao-Li Li, Yin-Chet Tan, and See-Kiong Ng, "Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data", in Proceedings of the Symposium of Computations in Bioinformatics and Bioscience", Vol. 1, P 171-178, Hangzhou, China, 20-24 June, 2006.

  304. Xiao-Li Li, Soon-Heng Tan, Chuan-Sheng Foo and See-Kiong Ng. "Interaction Graph Mining for Protein Complexes Using Local Clique Merging." in Genome Informatics, Vol. 16, No.2. 2005. [PDF] (BEST PAPER AWARD) (More than 100 citations according to Google Scholar).

  305. Xiao-Li Li, Soon-Heng Tan, See-Kiong Ng. "Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset." ICCSA, 318-326. 2005. [PDF]

  306. Xiao-Li Li, Soon-Heng Tan, See-Kiong Ng. "Exploring Cross-Function Domain Interaction Map." in Proceedings of the 2005 International Joint Conference of InCoB, AASBi and KSBI (BIOINFO), Busan, Korea, P 431-436. 2005.[PDF]

  307. Xiao-Li Li, Bing Liu. "Learning from Positive and Unlabeled Examples with Different Data Distributions." in Proceedings European Conference on Machine Learning (ECML-05), [PDF] (More than 100 citations according to Google Scholar).

  308. Bing Liu, Xiao-Li Li, Wee Sun Lee and Philip S. Yu. "Text Classification by Labeling Words" in Proceedings of Nineteeth National Conference on Artificial Intellgience (AAAI-2004), San Jose, USA, July 2004. [PDF] (More than 200 citations according to Google Scholar).

  309. Xiao-Li Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong. "Classifying Biomedical Citations without Labeled Training Examples." Proceedings of the Third IEEE International Conference on Data Mining (ICDM'04), 455-458. 2004. [PDF]

  310. Xiao-Li Li, and Bing Liu. "Dealing with Different Distributions in Learning from Positive and Unlabeled Web Data." WWW-2004 poster paper. [PDF]

  311. Xiao-Li Li, Tze-Yun Leong. A Support Vector Machine Approach to Solving the Breast Cancer Diagnosis Problem, MEDINFO 2004.

  312. Rohit Joshi, Xiao-Li Li, Sreeram Ramachandaran, and Tze Yun Leong. "Automatic Model Structuring from Text using BioMedical Ontology." Proceedings of AAAI Workshop Adaptive Text Extraction and Mining , 74-79. 2004. [PDF]

  313. Lan Yi, Bing Liu, and Xiao-Li Li. "Eliminating Noisy Information in Web Pages for Data Mining." Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2003), Washington, DC, USA, August 24 - 27, 2003. [PDF] (More than 500 citations according to Google Scholar).

  314. Bing Liu, Yang Dai, Xiao-Li Li, Wee Sun Lee and and Philip Yu. "Building Text Classifiers Using Positive and Unlabeled Examples." in Proceedings of the Third IEEE International Conference on Data Mining (ICDM'03), Melbourne, Florida, November 19-22, 2003. [PDF] (More than 800 citations according to Google Scholar).

  315. Xiao-Li Li and Bing Liu. "Learning to classify text using positive and unlabeled data." Proceedings of Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), Aug 9-15, 2003, Acapulco, Mexico, [PDF]. (More than 500 citations according to Google Scholar).

  316. Xiao-Li Li, Bing Liu, Ton-Heng Phang, Minqing Hu, "Using Micro Information Unit for Internet Search," ACM CIKM-2002, McLean, VA, Nov 5-9, 2002. [PDF]

  317. Haoran Wu, Tong-Heng Pang, Bing Liu, Xiao-Li Li. "A Refinement Approach to Handling Model Misfit in Text Categorization," Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2002, full paper), Edmonton, Canada, July 23-26, 2002. [PDF]

  318. Bing Liu, Wee Sun Lee, Philip S Yu and Xiao-Li Li. Partially Supervised Classification of Text Documents. Proceedings of the Nineteenth International Conference on Machine Learning (ICML-2002), 8-12, July 2002, Sydney, Australia. [PostScript] [Full Paper] (More than 700 citations according to Google Scholar ).

  319. Xiao-Li Li, Bing Liu, Tong-Heng Phang, and Minqing Hu. "Web Search Based on Micro Information Units." WWW-2002 (poster), Honolulu, Hawaii, USA 7-11 May 2002. [PDF]

  320. Xiao-Li Li, Zhongzhi Shi. " Innovating web page classification through reducing noise.", Journal of Computer Science and Technology, Volume 17 , Issue 1, Pages: 9 - 17, 2002. [PDF]

  321. Xiao-Li Li, Zhongzhi Shi. "A method of providing individual service in search engine", Computer science, 2002.

  322. Xiao-Li Li, Liu Jimin, Shi Zhongzhi, A Chinese Web page Classifier Based on Support Vector Machine and Unsupervised Clustering, Chinese Journal of Computers, VOL24, NO1, P. 62-68, 2001. (In Chinese, More than 100 citations according to Google Scholar).

  323. Ye Shiren, You Xiangtao, Shi Zhongzhi, Xiao-Li Li, Efficient Similarity Computing Methods in High Dimentsional Data, Journal of Computer Research and Development, Vol, 37, No. 10, P. 1166-1172, 2001.

  324. Xiao-Li Li, Shi Zhongzhi, Dong Mingkai, Personalized service for search engine, the sixth national Artificial Intelligence conference, Beijing, 2001.

  325. Xiao-Li Li, Shi Zhongzhi, The Concept-Reasoning Network and its Application in Text Classification, Journal of Computer Research and Development, Vol. 37, No. 9, P. 1032-1038, 2000. (In Chinese, ~ 100 citations according to Google Scholar).

  326. Xiao-Li Li, Jimin Liu, Zhongzhi Shi. A Document Classifier Based on Word Semantic Association. PRICAI 2000,

  327. Xiao-Li Li, Liu Jimin, Shi Zhongzhi. Combine support vector machines with unsupervised clustering in text classification. Proceedings of Conference on Intelligent Information Processing 16th World Computer Congress, pp.398-405, Beijing, China, 2000

  328. Xiao-Li Li, Shi Zhongzhi, A data mining method to acquire part of speech rules in Chinese text, Journal of Computer Research and Development, Vol. 27, No. 12, P. 1409-1414, 2000.

  329. Lu Song, Xiao-Li Li, Bai Suo, Wangshi, An Improved Approach to Weighting Terms in Text, Jounral of Chinese Information Processing, 14(6): 8-13, 2000. (In Chinese, more than 100 citations according to Google Scholar).

  330. Zhongzhi Shi, Wei Li, Hu Cao and Xiaoli Li, Distributed Information Retrieval Agent JMAT, First Asia-Pacific Conference on Intelligent Agent Technology (IAT'99), Hongkong.

  331. Xiao-Li Li, Liang Yongquan and Shi Zhongzhi, A Dynamic User Interest Acquiring Algorithm in the Internet Information Retrieval, The Fifth International Conference for Young Computer Scientists, Nanjing, 1999.

  332. Xiao-Li Li, Liang Yongquan, Shi Zhongzhi, Capturing User Interest and High quality pages in Internet Information Retrieval, International Conference on Machine Translation & Computer Language Information Processing, Beijing, 1999.

  333. Liang Yongquan, Xiao-Li Li and Shi Zhongzhi, A Computer Go-Playing Model Based on Agent, The Fifth International Conference for Young Computer Scientists, 1999, Nanjing.

  334. Shi Zhongzhi, Ye Shiren, Xiao-Li Li, You Xiangtao, Gong Xiujun, Wu Bin, Liu Huan, Zucker, data mining, knowledge engineering and science symposium, Beijing, 1999.

  335. Xiao-Li Li, AI Techniques for Applications of Equipment Remaining Useful Life Prediction, Journal of Shanxi University, 2022 [PDF].

  336. Guo Binyan, Xiao-Li Li, Apply the EBL Model in Chinese Sentence Analysis, Pattern Recognition and Artificial Intelligence, Vol , 9, No. 2, 1996.

  337. Xiao-Li Li, Guo Binyan, Liu Futao, Improve the efficiency of EBL model, the sixth computer scientist symposium, Hangzhou, China, 1996.

  338. Xue Cuifang, Xiao-Li Li, Guo Binyan, Text structure analysis based on the statistic method, The advances and applications on Computational Linguistics, Tsinghua University Press, 1996.

  339. Xiao-Li Li, Guo Binyan, Automatically extract Chinese syntactic rules based on EBL method, Journal of National University of Defense Technology, 1995.

  340. Xiao-Li Li, Guo Binyan, A EBL model to analyse Chinese sentences, Journal of Shanxi University, 1995.

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