Fang, Yi

Yi Fang

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Yi Fang is a Professor in the Department of Computer Science and Engineering, Santa Clara University. I received a Ph.D. from the Department of Computer Science, Purdue University, West Lafayette. My Ph.D. thesis advisor was Professor Luo Si.

• COEN 272: Web Search and Information Retrieval
• COEN 240: Machine Learning
• COEN 140: Machine Learning and Data Mining
• COEN 169: Web Information Management
• COEN 60: Introduction to Web Technologies

• Suthee Chaidaroon, Yi Fang, Min Xie, Alessandro Magnani. Neural Compatibility Ranking for Text-based Fashion Matching. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019.
• Travis Ebesu, Bin Shen, Yi Fang. Collaborative Memory Network for Recommendation Systems. In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018.
• Suthee Chaidaroon, Travis Ebesu, Yi Fang. Deep Semantic Text Hashing with Weak Supervision. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018.
• Yogesh Jhamb, Travis Ebesu, Yi Fang. Attentive Contextual Denoising Autoencoder for Recommendation. In Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2018.
• Miao Jiang, Yi Fang, Huangming Xie, Jike Chong, Meng Meng. User click prediction for personalized job recommendation. In World Wide Web Journal, Springer, 2018.
• Haibing Lu, Wendong Zhu, Manoochehr Ghiassi, Yi Fang, Hong Yuan, Xiaoyun He. Fault-Tolerant Tile Mining. In Expert Systems With Applications, Elsevier, 2018.
• Suthee Chaidaroon, Yi Fang. Variational Deep Semantic Hashing for Text Documents. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017.
• Travis Ebesu, Yi Fang. Neural Citation Network for Context-Aware Citation Recommendation. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017. (Short Paper)
• Travis Ebesu, Yi Fang. Neural Semantic Personalized Ranking for Item Cold-Start Recommendation. In Information Retrieval Journal (IRJ), Springer, 2017.
• Mengwen Liu, Yi Fang, Alex G. Choulos, Dae Hoon Park, and Xiaohua Hu. Product Review Summarization through Question Retrieval and Diversification. In Information Retrieval Journal (IRJ), Springer, 2017.
• Zhongchen Miao, Kai Chen, Yi Fang, Jianhua He, Yi Zhou, Wenjun Zhang, Hongyuan Zha. Cost-effective Online Trending Topic Detection and Popularity Prediction in Microblogging. In ACM Transactions on Information Systems (TOIS), Volume 35, Issue 3, 2017.
• Yogesh Jhamb, Yi Fang A Dual-Perspective Latent Factor Model for Group-Aware Social Event Recommendation. In Information Processing and Management (IPM), Elsevier, 2017.
• Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu. Which Used Product is More Sellable? A Time-Aware Approach. In Information Retrieval Journal (IRJ), Springer, 2017.
• Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu. Retrieving Non-Redundant Questions to Summarize a Product Review. In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2016.
• Dae Hoon Park, Yi Fang, Mengwen Liu, and Chengxiang Zhai. Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text. In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM), 2016.
• Hui Wu, Yi Fang, Huming Wu, and Shenhong Zhu. Diversifying Trending Topic Discovery via Semidefinite Programming. In IEEE International Conference on Big Data, 2016.
• Yi Fang, Mengwen Liu. A Unified Energy-based Framework for Learning to Rank. In Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2016.
• Yi Fang, Archana Godavarthy, Haibing Lu. A Utility Maximization Framework for Privacy Preservation of User Generated Content. In Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2016.
• Archana Godavarthy, Yi Fang. Cross-Language Microblog Retrieval using Latent Semantic Modeling. In Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2016. (Short paper)
• Bin Shen, Baodi Liu, Qifan Wang, Yi Fang and Jan Allebach. SP-SVM: Large Margin Classifier for Data on Multiple Manifolds. In Proceedings of The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015.
• Yi Fang and Luo Si. Related entity finding by unified probabilistic models. In World Wide Web, 2015.
• Yi Fang, Ziad A. Bawab, and Jean-Francois Crespo. Collaborative language models for localized query prediction. In ACM Transactions on Interactive Intelligent Systems (TiiS), 2014.
• Yi Fang and Archana Godavarthy. Modeling the dynamics of personal expertise. In Proceedings of the Annual ACM SIGIR Conference on Research and Development in Information Retrieval, 2014.
• Avinash Kumar, Miao Jiang, Yi Fang. Where not to go? Detecting road hazards using twitter. In Proceedings of the Annual ACM SIGIR Conference on Research and Development in Information Retrieval, 2014.
• Xiaoran An, Auroop R. Ganguly, Yi Fang, Steven B. Scyphers, Ann M. Hunter, Jennifer G. Dy. Tracking Climate Change Opinions from Twitter Data. In ACM SIGKDD Workshop on Data Science for Social Good, 2014.
• Haibing Lu, Yuan Hong, Yanjiang Yang, Yi Fang, and Lian Duan. Dynamic Workflow Adjustment with Security Constraints, In Proceedings of the 28th Annual IFIP WG 11.3 Working Conference on Data and Application Security (DBSEC), 2014.
• Vishnu Pendyala, Yi Fang, JoAnne Holliday, and Ali Zalzala. A Text Mining Approach to Automated Healthcare for the Masses. In Proceedings of IEEE Global Humanitarian Technology Conference, 2014.
• Hung Nguyen, Yi Fang, Sandhya Gade, Vijay Mysore, Juan Hu, Sabita Pandit, Aparna Srinivasan, and Miao Jiang. A pattern-matching approach to streaming slot filling. In Proceedings of Text REtrieval Conference (TREC), 2014.
• Juan Hu, Yi Fang, and Archana Godavarthy. Topical authority propagation on microblogs. In Proceedings of the 22nd ACM International Conference on Information and Knowledge management (CIKM), 2013.
• Krisztian Balog, Yi Fang, Maarten de Rijke, Pavel Serdyukov, and Luo Si. Expertise retrieval. In Foundations and Trends in Information Retrieval, 6(2-3):127-256, 2012. (A survey monograph)
• Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu. Mining contrastive opinions on political texts using cross-perspective topic model. In Proceedings of the 5th ACM International Conference on Web Search and Data Mining (WSDM), Seattle, USA, 2012.
• Yi Fang, Luo Si. A Latent Pairwise Preference Learning Approach for Recommendation from Implicit Feedback. In Proceedings of The 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012.
• Ying Zhang, Yi Fang, Xiaojun Quan, Lin Dai, Luo Si, Xiaojie Yuan. Emotion Tagging for Comments of Online News by Meta Classification with Heterogeneous Information Sources. In Proceedings of the 35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, 2012.
• Yi Fang, Jong Park, Youngseon Jeong, Myongkee Jeong, Seung Baek, and Hyun Woo Cho. Enhanced predictions of wood properties using hybrid models of PCR and PLS with high-dimensional NIR spectral data. In Annals of Operations Research, 190: pp. 3-15, Springer, 2011.
• Yi Fang, Luo Si, and Aditya Mathur. Discriminative probabilistic models for expert search in heterogeneous information sources. In Information Retrieval, 14: pp. 158-177, Springer, 2011.
• Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu and Yantuan Xian. Purdue at TREC 2010 Entity Track: a probabilistic framework for. matching types between candidate and target entities. In Proceedings of the 19th Text REtrieval Conference (TREC), Gaithersburg, USA, 2011.
• Yi Fang, Naveen Somasundaram, Luo Si, Jeongwoo Ko, Aditya P. Mathur. Analysis of an expert search query log. In Proceedings of the 34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1189-1190, Beijing, China, 2011.
• Yi Fang, and Luo Si. Matrix co-factorization for recommendation with rich side information and implicit feedback. In Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, Chicago, USA, 2011.
• Yi Fang, Luo Si, and Aditya Mathur. Discriminative models of integrating document evidence and document-candidate associations for expert search. In Proceedings of the 33rd Annual ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 683-690, Geneva, Switzerland, 2010.
• Suleyman Cetintas, Monica Rogati, Luo Si, and Yi Fang. Identifying Similar People in Professional Social Networks with Discriminative Probabilistic Models. In Proceedings of the 34th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1209-1210, Beijing, China, 2011.
• Yi Fang, Luo Si, and Aditya Mathur. Discriminative graphical models for faculty homepage discovery. In Information Retrieval, 13: pp. 618-635, Springer, 2010.
• Yi Fang, Olufemi A. Omitaomu, Auroop R. Ganguly. Incremental anomaly detection approach for characterizing unusual profiles. In Knowledge Discovery from Sensor Data, 5840: pp. 190-202, Springer, 2010.
• Yi Fang. Entity information management in complex networks. In SIGIR Doctoral Consortium, Geneva, Switzerland, 2010.
• Yi Fang, Luo Si, Zhengtao Yu, Yantuan Xian, and Yangbo Xu. Entity retrieval by hierarchical relevance model, exploiting the structure of tables and learning homepage classifiers. In Proceedings of the 18th Text REtrieval Conference (TREC), Gaithersburg, USA, 2010.
• Yi Fang, Luo Si, and Aditya Mathur. Ranking experts with discriminative probabilistic models. In SIGIR Workshop on Learning to Rank for Information Retrieval (LR4IR), Boston, USA, 2009.
• Luo Si, Danni Yu, Daisuke Kihara, and Yi Fang. Combining gene sequence similarity and textual information for gene function annotation in the literature. In Information Retrieval, 11(5): pp. 283-404, Springer, 2008.
• Yi Fang and Myongkee Jeong. Robust probabilistic multivariate calibration. In Technometrics, 50: pp. 305-316, 2008. (Invited for the panel discussion in the Joint Statistical Meeting (JSM) conference), 2008.
• Olufemi A. Omitaomu, Yi Fang, and Auroop R. Ganguly. Anomaly detection from sensor data for real-time decisions. In The Second SIGKDD workshop on Knowledge Discovery from Sensor Data (SensorKDD), Las Vegas, USA, 2008.
• Yi Fang and Auroop Ganguly. Mixtures of probabilistic component analyzers for anomaly detection. In The First SIGKDD workshop on Knowledge Discovery from Sensor Data (SensorKDD), Sanjose, USA, 2007.
• Yi Fang, Hyunwoo Cho, and Myong K. Jeong. Health monitoring of a shaft transmission system via hybrid models of PCR and PLS. In Proceedings of the Sixth SIAM Conference on Data Mining (SDM), Washington D.C., USA, 2006.
• Yi Fang, Auroop Ganguly, Nagendra Singh, Veeraraghavan Vijayaraj, Neal Feierabend, and David Potere. Online change detection: Monitoring land cover from remotely sensed data. In Proceedings of the Sixth IEEE Conference on Data Mining-Workshops, Hong Kong, China, 2006.

Book Chapters

• Juan Hu, Yi Fang, Nam Ling, and Li Song. Topic Modeling for Large-scale Multimedia Analysis and Retrieval. In Big Data: Algorithms, Analytics, and Applications, Chapman and Hall/CRC, 2014.
• Auroop Ganguly, Olufemi A. Omitaomu, Yi Fang, Shiraj Khan, and Budhendra L. Bhaduri. Knowledge Discovery from Sensor Data For Scientific Applications. In Learning from Data Streams: Processing Techniques in Sensor Networks, pp. 205-229, Springer, 2007.

Technical Reports

Yi Fang, Luo Si, and Aditya Mathur. FacFinder: Search for expertise in academic institutions. In Technical Report: SERC-TR-294, Purdue University, 2008.