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Ming-Feng Tsai (蔡銘峰)

Assistant Professor

Laboratory of Computational Linguistics and Information Processing (CLIP Lab)

Department of Computer Science & Program in Digital Content and Technology

National Chengchi University

Premature optimization is the root of all evil.(過早的最佳化是所有罪惡的根源)
Donald Ervin Knuth

Latest News


  • Competition Achievement (2015.11)
    It is my great honor and privilege to work with Prof. Shou-de Lin, Prof. Mi-Yen Yeh and their lab members for winning the champion of WSDM Cup 2016.
  • Award Acquisition (2015.09)
    It is my great honor and privilege to acquire NCCU Teaching Award of the 2014 Academic Year.
  • Competition Achievement (2015.08)
    Congratulate Chih-Ming, Hsin-Ping, Pei-Wen, Sin-Ya on winning the 9th prize of KDD Cup 2015.
  • Paper Acceptance (2015.08)
    Congratulate Chih-Ming and Po-Chuan on their work, "Exploiting Latent Social Listening Representations for Music Recommendations," being accepted by ACM RecSys 2015 as a poster paper!!
  • Paper Acceptance (2015.05)
    Congratulate Zhe-Li on his work, "Social Influencer Analysis with Factorization Machines," being accepted by ACM WebSci 2015 as a poster paper!!

Ming-Feng Tsai is currently an Assistant Professor in the Department of Computer Science at National Chengchi University. In 2006, he was at Microsoft Research Asia as a visiting student with the Web Search & Mining Group, and was awarded by the research institution the "Best Intern of the Year." He received his Ph.D. degree from National Taiwan University in 2009. After receiving his Ph.D. degree, he worked at National University of Singapore as a Research Fellow, participating in a research project related to machine translation. In 2010, sponsored by Taiwan National Science Council, he joined University of Illinois at Urbana-Champaign as a visiting scientist, working on a project associated with advanced Web search and mining. His research interests span the areas of information retrieval, machine learning, web search and mining, social network analysis, and natural language processing.

Recent Work

An Efficient Solution to Reinforce Paper Ranking using Author/Venue/Citation Information - The Winner’s Solution for WSDM Cup 2016

Ming-Han Feng, Huan-Hou Chan, Huan-Yuan Chen, Ming-Feng Tsai, Mi-Yen Yeh, and Shou-De Lin

Presented at WSDM Cup 2016, San Francisco, 2016

See paper »

Time-Aware Weighted PageRank for Paper Ranking in Academic Graphs

Chin-Chi Hsu, Kuan-Hou Chan, Ming-Han Feng, Yueh-Hua Wu, Huan-Yuan Chen, Sz-Han Yu, Chun-Wei Chen, Ming-Feng Tsai, Mi-Yen Yeh, and Shou-De Lin

Presented at WSDM Cup 2016, San Francisco, 2016

See paper »

An Ensemble of Ranking Strategies for Static Rank Prediction in a Large Heterogeneous Graph

Shu-Kai Chang, Sui-Tsung Go, Yueh-Hua Wu, Yen-Ting Lee, Chien-Lin Lai, Sz-Han Yu, Chun-Wei Chen, Huan-Yuan Chen, Ming-Feng Tsai, Mi-Yen Yeh, Shou-De Lin

Presented at WSDM Cup 2016, San Francisco, 2016

See paper »

A Linear Ensemble of Classification Models with Novel Backward Cumulative Features for MOOC Dropout Prediction

Chih-Ming Chen, Man-Kwan Shan, Ming-Feng Tsai, Yi-Hsuan Yang, Hsin-Ping Chen, Pei-Wen Yeh, and Sin-Ya Peng

Presented at KDD Cup 2015, Sydney, 2015

See slides »

Exploiting Latent Social Listening Representations for Music Recommendations

Chih-Ming Chen, Po-Chuan Chien, Yu-Ching Lin, Ming-Feng Tsai, and Yi-Hsuan Yang

Presented at RecSys 2015, Vienna, 2015

See paper »

Social Influencer Analysis with Factorization Machines

Ming-Feng Tsai, Chuan-Ju Wang, and Zhe-Li Lin

Presented at WebSci 2015, Oxford, 2015

See poster »

Contact

Address: No. 64, Sec. 2, Zhinan Rd., Taipei 11605, Taiwan
Tel: +886-2-8237-7448
Fax: +886-2-2234-1494
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