Journal Papers

• Ming-Feng Tsai, Chuan-Ju Wang. On the Risk Prediction and Analysis of Soft Information in Finance Reports. European Journal of Operational Research, 257(1), 243-250, 2017.
• Ming-Feng Tsai, Chuan-Ju Wang, Po-Chuan Chien. Discovering Finance Keywords via Continuous Space Language Models. ACM Transactions on Management Information Systems, 7(3), 7:1-7:17, 2016. (Selected by ACM Computing Reviews as Notable Article of the 21st Annual Best of Computing )
• Ming-Feng Tsai, Chih-Wei Tzeng, Zhe-Li Lin, Arbee L.P. Chen. Discovering Leaders from Social Network by Action Cascade. Social Network Analysis and Mining, 4(1), 1-10, 2014.
• Yu-Xun Ruan, Hsuan-Tien Lin, Ming-Feng Tsai. Improving Ranking Performance with Cost-sensitive Ordinal Classification via Regression. Information Retrieval, 17(1), 1-20, 2014.
• Chieh-Jen Wang, Yung-Wei Lin, Ming-Feng Tsai, Hsin-Hsi Chen. Mining Subtopics from Different Aspects for Diversifying Search Results. Information Retrieval, 16(4), 452-483, 2013.
• Ming-Feng Tsai, Hsin-Hsi Chen, Yu-Ting Wang. Learning a Merge Model for Multilingual Information Retrieval. Information Processing and Management, 47(5), 635-646, 2011.
• Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng Wang, Tie-Yan Liu, Hang Li. Query-level Loss Functions for Information Retrieval. Information Processing and Management, 44(2), 838-855, 2008.

International Conference Papers

• Chih-Yu Chao, Yi-Fan Chu, Hsiu-Wei Yang, Chuan-Ju Wang, Ming-Feg Tsai. Text Embedding for Sub-Entity Ranking from User Reviews. Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM 2017). (short paper, 30% acceptance) [demo]
• Chuan-Ju Wang, Ting-Hsiang Wang, Hsiu-Wei Yang, Bo-Sin Chang, Ming-Feng Tsai. ICE: Item Concept Embedding via Textual Information. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017). (22% acceptance) [demo] [codes]
• Yu-Wen Liu, Liang-Chih Liu, Chuan-Ju Wang, Ming-Feng Tsai. FIN10K: A Web-based Information System for Financial Report Analysis and Visualization. Proceedings of the 25th ACM Conference on Information and Knowledge Management (CIKM 2016). (demo paper, 34.5% acceptance) [demo]
• Chih-Yu Chao, Yi-Fan Chu, Yi Ho, Chuan-Ju Wang, Ming-Feng Tsai. Dish Discovery via Word Embeddings on Restaurant Reviews. Poster Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016). (poster paper)
• Chih-Ming Chen, Chun-Yao Yang, Chih-Chun Hsia, Yian Chen, Ming-Feng Tsai. Music Playlist Recommendation via Preference Embedding. Poster Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016). (poster paper)
• Chih-Ming Chen, Ming-Feng Tsai, Yu-Ching Lin, Yi-Hsuan Yang. Query-based Music Recommendations via Preference Embedding. Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016). (short paper, 20% acceptance)
• Ming-Han Feng, Huan-Hou Chan, Huan-Yuan Chen, Ming-Feng Tsai, Mi-Yen Yeh, Shou-De Lin. An Efficient Solution to Reinforce Paper Ranking using Author/Venue/Citation Information - The Winner’s Solution for WSDM Cup 2016. Proceedings of the 9th ACM Conference on Web Search and Data Mining (WSDM Cup 2016 – Entity Ranking Challenge).
• 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. Time-Aware Weighted PageRank for Paper Ranking in Academic Graphs. Proceedings of the 9th ACM Conference on Web Search and Data Mining (WSDM Cup 2016 – Entity Ranking Challenge).
• 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 and Shou-De Lin. An Ensemble of Ranking Strategies for Static Rank Prediction in a Large Heterogeneous Graph. Proceedings of the 9th ACM Conference on Web Search and Data Mining (WSDM Cup 2016 – Entity Ranking Challenge).
• Ming-Feng Tsai, Chuan-Ju Wang, Zhe-Li Lin. Social Influencer Analysis with Factorization Machines. Proceedings of the 2015 ACM Web Science Conference (WebSci 2015). (poster paper)
• Chih-Ming Chen, Po-Chuan Chien, Yu-Ching Lin, Ming-Feng Tsai, Yi-Hsuan Yang. Exploiting Latent Social Listening Representations for Music Recommendations. Poster Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015). (poster paper)
• Shu-Hao Yeh, Chuan-Ju Wang, Ming-Feng Tsai. Deep Belief Networks for Predicting Corporate Defaults. Processings of the 24th Wireless and Optical Communication Conference (WOCC 2015).
• Chen-Yi Lai, Chuan-Ju Wang, Ming-Feng Tsai. On the Construction and Analysis of Financial Time-Series-Oriented Lexicons. Proceedings of the 35th International Symposium on Forecasting (ISF 2015).
• Ming-Feng Tsai, Chuan-Ju Wang. Financial Keyword Expansion via Continuous Word Vector Representations. Proceedings of the 2014 International Conference on Empirical Methods in Natural Language Processing (EMNLP 2014). (short paper, 28% acceptance)
• Chih-Ming Chen, Hsin-Ping Chen, Ming-Feng Tsai, Yi-Hsuan Yang. Leverage Item Popularity and Recommendation Quality via Cost-sensitive Factorization Machines. Proceedings of the 2014 IEEE International Conference on Data Mining (ICDM 2014). (PhD forum paper)
• Chih-Ming Chen, Ming-Feng Tsai, Jen-Yu Liu, Yi-Hsuan Yang. Music Recommendation Based on Multiple Contextual Similarity Information. Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT 2013).
• Chuan-Ju Wang, Ming-Feng Tsai, Tse Liu, Chin-Ting Chang. Financial Sentiment Analysis for Risk Prediction. Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP 2013). (short paper)
• Chih-Ming Chen, Ming-Feng Tsai, Jen-Yu Liu, Yi-Hsuan Yang. Using Emotional Context from Article for Contextual Music Recommendation. Proceedings of the 21th ACM international conference on Multimedia (MM 2013). (short paper, 30% acceptance) [video spotlight]
• Ming-Feng Tsai, Chuan-Ju Wang. Risk Ranking from Financial Reports. Proceedings of the 35th European Conference on Information Retrieval (ECIR 2013), Lecture Notes in Computer Science, 7814: 804-807. (short paper)
• Ming-Feng Tsai, Chuan-Ju Wang. Visualization on Financial Terms via Risk Ranking from Financial Reports. Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012). (demo paper) [demo]
• Ming-Feng Tsai, Chuan-Ju Wang. Post-Modern Portfolio Theory for Information Retrieval. Proceedings of the International Neural Network Society Winter Conference (INNS-WC 2012), Procedia Computer Science, 13: 143–148.
• Ming-Feng Tsai, Chih-Wei Tzeng, Arbee L.P. Chen. Discovering Leaders from Social Network by Action Cascade. Proceedings of the Fifth Workshop on Social Network Systems (SNS 2012). (short paper)
• Chieh-Jen Wang, Yung-Wei Lin, Ming-Feng Tsai, Hsin-Hsi Chen. NTU Approaches to Subtopic Mining and Document Ranking at NTCIR-9 Intent Task. Proceedings of the 9th NTCIR Workshop Meeting (NTCIR 2011).
• Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen. A Study of Learning a Merge Model for Multilingual Information Retrieval. Proceedings of the 31st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2008). (17% acceptance)
• Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen. Combining WordNet and ConceptNet for Automatic Query Expansion: A Learning Approach . Proceedings of the 4th Asia Information Retrieval Symposium (AIRS 2008), Lecture Notes in Computer Science, 4993: 213-224. (27% acceptance)
• Ming-Feng Tsai, Tie-Yan Liu, Tao Qin, Hsin-Hsi Chen, Wei-Ying Ma. FRank: a ranking method with fidelity loss. Proceedings of the 30th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 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 2007). (29% acceptance)
• Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen. Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison. Proceedings of the 3rd Asia Information Retrieval Symposium (AIRS 2006), Lecture Notes in Computer Science, 4182: 1-13. (23% acceptance)
• Ming-Hung Hsu, Ming-Feng Tsai, Hsin-Hsi Chen. Multilingual Relevant Sentence Detection Using Reference Corpus. Proceedings of the 1st Asia Information Retrieval Symposium (AIRS 2004), Lecture Notes in Computer Science, 3411: 165-177. (30% acceptance)
• Hsin-Hsi Chen, Ming-Feng Tsai, Ming-Hung Hsu. Identification of Relevant and Novel Sentences Using Reference Corpus. Proceedings of the 26th European Conference on Information Retrieval (ECIR 2004), Lecture Notes in Computer Science, 2997: 85-98. (32% acceptance)
• Ming-Feng Tsai, Ming-Hung Hsu, Hsin-Hsi Chen. Approach of information retrieval with reference corpus to novelty detection. Proceedings of the 12th Text REtrieval Conference (TREC 2003), NIST Special Publication, SP 500-255: 474–479.
• Ming-Feng Tsai, Hsin-Hsi Chen. Some Similarity Computation Methods in Novelty Detection. Proceedings of the 11th Text REtrieval Conference (TREC 2002), NIST Special Publication, SP 500-251.

Domestic Papers

• 薛化元、江子揚、蔡銘峰、劉吉軒。數位人文取徑下歷史研究的轉折與開展--以《 自由中國》為例。人文與社會科學簡訊，17︰2，頁129-135，2016。
• 甯格致、劉吉軒、薛化元、蔡銘峰。以概念場域相似度為基礎之論述輪廓與情感分析 – 以二二八事件臺灣本地新聞史料為例。第六屆數位典藏與數位人文國際研討會，2015。
• 江子揚、薛化元、劉吉軒、蔡銘峰、黃文全、甯格致。數位人文脈絡下的史學應用研究--『自由中國』內涵之檢證與詮釋。第五屆數位典藏與數位人文國際研討會，2014。
• 甯格致、劉吉軒、薛化元、蔡銘峰。關聯式文本探勘資訊探索實驗平台設計--以『二二八事件臺灣本地新聞史料彙編』為例。第五屆數位典藏與數位人文國際研討會，2014。
• 闕伯丞、宋邡熏、沈錳坤、蔡銘峰。由史料中探勘職官年表：以清康熙實錄為例。第四屆數位典藏與數位人文國際研討會，2012。

Technical Reports

• Ming-Feng Tsai, Preslav Nakov, Hwee Tou Ng. Morphological Analysis for Resource-Poor Machine Translation. National University of Singapore Department of Computer Science Technical Report TR22/10, December 2010.
• Ming-Feng Tsai, Shang-Tse Chen, Yao-Nan Chen, Chun-Sung Ferng, Chia-Hsuan Wang, Tszy-Yu Wen, Hsuan-Tien Lin. An Ensemble Ranking Solution to the Yahoo! LTR Challenge. National Taiwan University, Technical Report, September 2010. [slides]

Patents

• Learning a Document Ranking Function Using Fidelity-Based Error Measurements, US 7805438.11461404, 2010.

Theses

• Ming-Feng Tsai. Learning to Rank for Information Retrieval. National Taiwan University, PhD Thesis, 2009.
• Ming-Feng Tsai. A Study of Sentence Relevance and Novelty Detection. National Taiwan University, Master Thesis, 2003.