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
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.
Discovering Leaders from Social Network by Action Cascade
Ming-Feng Tsai, Chih-Wei Tzeng, Zhe-Li Lin, and Arbee L.P. Chen
Published in Social Network Analysis and Mining, 4(1): 165, 2014.
Improving Ranking Performance with Cost-sensitive Ordinal Classification via Regression
Yu-Xun Ruan, Hsuan-Tien Lin, and Ming-Feng Tsai
Published in Information Retrieval, 17(1): 1-20, 2014
Mining Subtopics from Different Aspects for Diversifying Search Results
Chieh-Jen Wang, Yung-Wei Lin, Ming-Feng Tsai, and Hsin-Hsi Chen
Published in Information Retrieval, 16(4): 452-483, 2013
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