Weike Pan

(Weike can be pronounced as [weik])

Biography

Mr. Pan joined HKUST in August 2007 and is currently a PhD candidate at the CSE department. He is co-supervised by Prof. Qiang Yang and Prof. Vincent Shen, and is particularly interested in transfer learning, recommender systems, statistical machine learning, etc.

Publications

1. Weike Pan, Evan W. Xiang and Qiang Yang.
   Transfer Learning in Collaborative Filtering with Uncertain Ratings. [pdf]
   In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI-12). Toronto, Ontario, Canada. July 22-26, 2012.
2. Weike Pan, Erheng Zhong and Qiang Yang.
   Transfer Learning for Text Mining.
   Book chapter of Mining Text Data edited by Charu C. Aggarwal and Chengxiang Zhai. [link]
3. Weike Pan, Nathan N. Liu, Evan W. Xiang and Qiang Yang.
   Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks. [pdf]
   In Proceedings of the 22rd International Joint Conference on Artificial Intelligence (IJCAI-11). Barcelona, Catalonia, Spain, July 16-22, 2011.
4. Evan W. Xiang, Sinno Jialin Pan, Weike Pan, Jian Su and Qiang Yang. [pdf]
   Source-Selection-Free Transfer Learning.
   In Proceedings of the 22rd International Joint Conference on Artificial Intelligence (IJCAI-11). Barcelona, Catalonia, Spain, July 16-22, 2011.
5. Weike Pan and James T. Kwok.
   Structured Clustering with Automatic Kernel Adaptation. [pdf]
   International Joint Conference on Neural Networks (IJCNN-11). San Jose, California, USA, July 31-August 5, 2011.
6. Weike Pan, Evan W. Xiang, Nathan N. Liu and Qiang Yang.
   Transfer Learning in Collaborative Filtering for Sparsity Reduction. [pdf]
   In Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI-10). Atlanta, Georgia, USA. July 11-15, 2010.
7. Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang.
   Incorporating the Loss Function into Discriminative Clustering of Structured Outputs. [pdf]
   IEEE Transactions on Neural Networks (TNN), 21(10):1564-1575, October 2010.
8. Chonghai Hu, James T. Kwok, Weike Pan.
   Accelerated Gradient Methods for Stochastic Optimization and Online Learning. [pdf]
   Neural Information Processing Systems (NIPS-09), Vancouver, Canada, December 2009.
9. Xi Chen, Weike Pan, James T. Kwok, Jaime Carbonell.
   Accelerated Gradient Method for Multi-Task Sparse Learning Problem. [pdf]
   International Conference on Data Mining (ICDM-09), Miami, Florida, USA, December 2009.
10. Weike Pan, Congfu Xu.
    BioASLM: an Efficient Biology-Inspired Acoustic Source Localization Model in Indoor Sensor Networks.
    Chinese Journal of Electronics (CJE), 2007, 16(3): 406-410.
11. Shijian Li, Congfu Xu, Weike Pan, Yunhe Pan.
    Sensor Deployment Optimization for Detecting Maneuvering Targets.
    The 8th International Conference on Information Fusion (Fusion-05), Philadelphia, PA, USA, July 2005.

Services and Internship

• Information Officer: ACM SIGART (Chinese Introduction). 2010.09 - present.
• Information Officer: ACM TIST (Introduction, Submissions, ACM Digital Library, DBLP). 2009.10 - present.
• Intern: Data Mining Group, Tencent. 2011.06 - 2011.12. (2011.06 - 2011.08: full time; 2011.09 - 2011.12: part time)
• Intern: NLP Group, Baidu. 2010.05 - 2010.08.
• Intern: Speech Group, Microsoft Research Asia. 2006.02 - 2006.06.
• Oversea Scholarship Student: Institute of Medical Informedics, Luebeck University. 2005.04 - 2005.06.