Conference Publications

  1. "AD-Link: An Adaptive Approach for User Identity Linkage", by Xin Mu, Wei Xie, Roy Ka-Wei LEE, Feida Zhu, and Ee-Peng Lim, 11/2019, IEEE International Conference on Big Knowledge (ICBK'19), Beijing, [PDF]
  2. "Topic Enhanced Word Embedding for Toxic Content Detection in Q&A Sites", by Do Yeon Kim, Xiaohang Li, Sheng Wang, Yunying Zhuo, and Roy Ka-Wei LEE, 08/2019, 9th Workshop on Social Network Analysis in Applications (SNAA'19), Vancouver, Canada, [PDF] [Codes][Slides]
  3. "Linky: Visualizing User Profile Linkage Results For Multiple Online Social Networks (Demo)", by Roy Ka-Wei LEE, Ming Shan Hee, Philips Kokoh Prasetyo, and Ee-Peng Lim, 11/2018, IEEE International Conference on Data Mining (ICDM'18), Singapore, [PDF] [Demo]
  4. "Unsupervised User Identity Linkage via Factoid Embedding (Short Paper)", by Wei Xie, Xin Mu, Roy Ka-Wei LEE, Feida Zhu, and Ee-Peng Lim, 11/2018, IEEE International Conference on Data Mining (ICDM'18), Singapore, [PDF] [Codes]
  5. “Wisdom in Sum of Parts: Multi-Platform Activity Prediction in Social Collaborative Sites”, by Roy Ka-Wei LEE and David LO, 05/2018, 10th ACM Conference on Web Science (WEBSCI'18), Amsterdam, Netherlands. [PDF] [Slides]
  6. “Discovering Hidden Topical Hubs and Authorities in Online Social Networks”, by Roy Ka-Wei LEE, Tuan-Anh HOANG and Ee-Peng LIM, 04/2018, SIAM International Conference on Data Mining (SDM'18), San Diego California, USA. [PDF] [Slides] [Codes]
  7. “GitHub and Stack Overflow: Analyzing Developer Interests Across Multiple Social Collaborative Platforms”, by Roy Ka-Wei LEE and David LO, 09/2017, 9th International Conference on Social Informatics (SOCINFO'17), Oxford, United Kingdom. [PDF] [Slides]
  8. “On Analyzing User Topic-Specific Platform Preferences Across Multiple Social Media Sites”, by Roy Ka-Wei LEE, Tuan-Anh HOANG and Ee-Peng LIM, 04/2017, 26th International World Wide Web Conference (WWW'17), Perth, Australia. [PDF] [Slides][Codes]
  9. “Friendship Maintenance and Prediction in Multiple Social Networks”, by Roy Ka-Wei LEE and Ee-Peng LIM, 07/2016, 27th ACM Conference on Hypertext and Social Media (HT'16), Halifax, Canada. [PDF] [Slides]
  10. “Measuring User Influence, Susceptibility and Cynicalness in Sentiment Diffusion”, by Roy Ka-Wei LEE and Ee-Peng LIM, 03/2015, 37th European Conference on Information Retrieval (ECIR'15), Vienna, Austria. [PDF] [Slides]
  11. “DelayFlow Centrality for Identifying Critical Nodes in Transportation Networks (Short Paper)”, by Yew-Yih CHENG, Roy Ka-Wei LEE, Ee-Peng LIM and Feida ZHU, 08/2013, 5th International Conference on Advances in Social Networks Analysis and Mining (ASONAM'13), Niagara Falls, Canada. [PDF]

Journal Publications

  1. “Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks”, by Roy Ka-Wei LEE, Tuan-Anh HOANG and Ee-Peng LIM, 2019, IEEE Transactions on Knowledge and Data Engineering (TKDE). [PDF]
  2. “Time-Series Data Mining in Transportation: A Case Study on Singapore Public Train Commuter Travel Patterns”, by Roy Ka-Wei LEE and Tin Seong KAM, 2014, 6, 5, IACSIT International Journal of Engineering and Technology. [PDF]

Chapters in Books

  1. "Measuring Centralities for Transportation Networks Beyond Structures", by Yew-Yih CHENG, Roy Ka-Wei LEE, Ee-Peng LIM and Feida ZHU, in Applications of Social Media and Social Network Analysis, edited by Przemysław Kazienko, Nitesh Chawla, Springer, 2014 [PDF]