Xiaoli Li's Selected Publications


    BOOKS

  1. 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 (PAKDD 2015 Workshops) ”, Springer, 2015.
  2. Xiao-Li Li, See-Kiong Ng, Jason T. L. Wang (Eds.) (2013), "Biological Data Mining and its Applications in Healthcare”, World Scientific, 2014.
  3. Xiao-Li Li and See-Kiong Ng(Eds.) (2012), "Computational Knowledge Discovery for Bioinformatics Research”, IGI Global, USA, 2012.
  4. Xiao-Li Li and See-Kiong Ng(Eds.) (2008), "Biological Data Mining in Protein Interaction Networks”, IGI Global, USA, 2009.

  5. PAPERS (Journals and Conferences)

  6. 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 115 2017, [PDF].

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

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

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

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

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

  12. Ali Ezzat, Min Wu, Xiao-Li Li and Chee-Keong Kwoh, "Drug-Target Interaction Prediction using Ensemble Learning and Dimensionality Reduction", Methods, Accepted [PDF].

  13. SEZIN ATA KIRCALI, Yuan Fang, Min Wu, Xiao-Li Li and Xiaokui Xiao, "Disease Gene Classification with Metagraph Representations Article", Methods, Accepted [PDF].

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

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

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

  17. 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].

  18. 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].

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

  20. 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].

  21. 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].

  22. Xin Liu, Yong Liu, Xiao-Li Li, "Exploring the Context of Locations for Personalized Location Recommendations", IJCAI 2016, [PDF].

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

  24. 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, [PDF]. (BEST PAPER AWARD)

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

  26. 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].

  27. 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].

  28. 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].

  29. 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].

  30. 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].

  31. 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].

  32. 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].

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

  34. 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].

  35. 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].

  36. 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].

  37. 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].

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

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

  40. 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].

  41. 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].

  42. 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].

  43. 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].

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

  45. 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].

  46. 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].

  47. 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].

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

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

  50. 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].

  51. 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].

  52. 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].

  53. 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].

  54. 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].

  55. 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].

  56. 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.

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

  58. 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].

  59. 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.

  60. 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] .

  61. 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] .

  62. 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].

  63. 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].

  64. 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].

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

  66. 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].

  67. 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].

  68. Jian-Ping Mei, Chee-Keong Kwoh, Peng Yang, Xiao-Li Li, " Classification and its application to drug-target prediction", World Scientific, 2014, [PDF].

  69. 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].

  70. 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].

  71. 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].

  72. 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]

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

  74. 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]

  75. 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].

  76. 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].

  77. 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].

  78. 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].

  79. 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] .

  80. 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] .

  81. 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).

  82. 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] .

  83. 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] .

  84. 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] .

  85. 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]

  86. 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] .

  87. 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] .

  88. 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]

  89. 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]

  90. 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.

  91. 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]

  92. 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]

  93. 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]

  94. 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]

  95. 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]

  96. 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]

  97. 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.

  98. 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]

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

  100. 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.

  101. 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]

  102. 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]

  103. 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

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

  105. 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 100 citations according to Google Scholar).

  106. 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]

  107. 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 100 citations according to Google Scholar).

  108. 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.

  109. 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]

  110. 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]

  111. 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.

  112. 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]

  113. 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]

  114. 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.
  115. 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

  116. 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

  117. 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).

  118. 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]

  119. 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]

  120. 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]

  121. 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]

  122. 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]

  123. 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]

  124. 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]

  125. 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]

  126. 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.

  127. 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)

  128. 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]

  129. 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]

  130. 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]

  131. 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 100 citations according to Google Scholar).

  132. 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]

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

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

  135. 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]

  136. 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] (~400 citations according to Google Scholar).

  137. 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 300 citations according to Google Scholar).

  138. 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 200 citations according to Google Scholar).

  139. 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]

  140. 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]

  141. 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 300 citations according to Google Scholar ).

  142. 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]

  143. 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]

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

  145. 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).

  146. 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.

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

  148. 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).

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

  150. 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

  151. 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.

  152. 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).

  153. 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.

  154. 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.

  155. 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.

  156. 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.

  157. 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.

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

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

  160. 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.

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

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

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