1997 - 2001 B.S., Department of Information Engineering and
Computer Science, Feng-Chia University.
Experience
Research
Oct. 2009 - present
Research Fellow, National University of Singapore
Advisor: Prof. NG Hwee Tou
Participated group: Computational Linguistics Lab
Participated project: Machine Translation for Resource-Poor Languages
Oct. 2005 - Sep. 2006
Student Intern, Microsoft Research Asia
Mentors: Wei-Ying Ma and Tie-Yan Liu
Participated group: Web Search & Mining Group
Participated projects: Learning to Rank and Anti Spam
Teaching
Feb. 2009 - Jul. 2009
Teaching Assistant, Information Retrieval
Ming-Feng Tsai, Hsin-Hsi Chen, and Yu-Ting Wang. Learning a Merge
Model for Multilingual Information Retrieval. Information
Processing and Management. (Accepted)
Ming-Feng Tsai. Learning to Rank for Information Retrieval. PhD Thesis, 2009.
Ming-Feng Tsai, Yu-Ting Wang, and Hsin-Hsi Chen. A Study of
Learning a Merge Model for Multilingual Information
Retrieval. Proceedings of the 31th annual
international ACM SIGIR conference on Research and development
in information retrieval (SIGIR'08),
pages 195-202, 2008. (17% acceptance)
Ming-Hung Hsu, Ming-Feng Tsai, and Hsin-Hsi Chen. Combining
WordNet and ConceptNet for Automatic Query Expansion: A
Learning Approach . Proceedings of the Fourth
Asia Information Retrieval Symposium
(AIRS'08), Lecture Notes in Computer Science, 4993: 213-224, 2008. (27%
acceptance)
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng Wang, Tie-Yan Liu, and
Hang Li. Query-level Loss Functions for Information
Retrieval. Information Processing and
Management, 44(2): 838-855, 2008.
Ming-Feng Tsai, Tie-Yan Liu, Tao Qin, Hsin-Hsi Chen, and Wei-Ying Ma.
FRank: a ranking method with fidelity loss.
Proceedings of the 30th annual international ACM SIGIR conference
on Research and development in information retrieval
(SIGIR'07), pages 383-390, 2007. (17%
acceptance)
Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li.
Learning to Rank: From Pairwise Approach to Listwise
Approach. Proceedings of the 24th international
conference on Machine learning (ICML'07),
pages 129-136, 2007. (29% acceptance)
Ming-Hung Hsu, Ming-Feng Tsai, and Hsin-Hsi Chen. Query
Expansion with ConceptNet and WordNet: An Intrinsic
Comparison. Proceedings of the Third Asia
Information Retrieval Symposium
(AIRS'06), Lecture Notes in Computer Science,
4182: 1-13, 2006. (23% acceptance)
Ming-Hung Hsu, Ming-Feng Tsai, and Hsin-Hsi Chen. Multilingual
Relevant Sentence Detection Using Reference Corpus.
Proceedings of the First Asia Information Retrieval Symposium
(AIRS'04), Lecture Notes in Computer Science,
3411: 165-177, 2004. (30% acceptance)
Hsin-Hsi Chen, Ming-Feng Tsai, and Ming-Hung Hsu.
Identification of Relevant and Novel Sentences Using Reference
Corpus. Proceedings of the 26th European
Conference on Information Retrieval
(ECIR'04), Lecture Notes in Computer Science,
2997: 85-98, 2004. (32% acceptance)
Ming-Feng Tsai. A Study of Sentence Relevance and Novelty
Detection. Master Thesis, 2003.
Ming-Feng Tsai, Ming-Hung Hsu, and Hsin-Hsi Chen. Approach of
information retrieval with reference corpus to novelty
detection. Proceedings of the Twelfth Text
REtrieval Conference. Gaithersburg, NIST Special Publication:
SP 500-255, pages 474–479, 2003.
Ming-Feng Tsai and Hsin-Hsi Chen. Some Similarity Computation
Methods in Novelty Detection. Proceedings of the
Eleventh Text REtrieval Conference. Gaithersburg, NIST Special
Publication: SP 500-251, 2002.
Patents
Learning a Document Ranking Function Using Fidelity-Based
Error Measurements, US Patent 41826.8341, Pending 2006.
Journal Reviewer
ACM Transactions on Asian Language Information Processing (TALIP), IEEE
MultiMedia (MM), Journal of Natural Language Engineering (JNLE), Journal of
Information Science and Engineering (JISE)
Here is a brief excerpt:
One of the interns sent by Professor Chen was awarded by MSRA "Best Intern of the Year."
The award offered the Ph.D. student, Ming-Feng Tsai, a trip to Bill Gate's home for a BBQ
in the summer of 2006; and the successful story caught great media attention in Taiwan.
Master Thesis Award of ACLCLP, Taiwan, 2003
中華民國計算語言學學會『碩士論文獎』, 2003