About
Yi Fang is Associate Professor in the
Department of Computer Science and Engineering,
Santa Clara University.
I received Ph.D. from the Department of Computer Science,
Purdue University, West Lafayette.
My Ph.D. thesis advisor was Professor Luo Si.
Research
My major research interests include Information Retrieval and Machine Learning.
Selected Publications. [Complete List]
-
Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao. An Empirical Study of Selection Bias in Pinterest Ads Retrieval. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023.
-
Zhiyuan Peng, Vachik Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala. Entity-aware Multi-task Learning for Query Understanding at Walmart. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023.
-
Xiaoxiao Shang, Ye Chen, Yi Fang, Yuhong Liu, Subramaniam Vincent. AMICA: Alleviating Misinformation for Chinese Americans. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023.
-
Yi Fang, Hongfu Liu, Zhiqiang Tao, Mikhail Yurochkin. Fairness of Machine Learning in Search Engines. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2022. (Tutorial Slides)
-
Nagaarchana Godavarthy, Yuan Wang, Travis Ebesu, Un Suthee, Min Xie, Yi Fang. Learning user preferences through online conversations via personalized memory transfer. In Information Retrieval Journal, 2022.
-
Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang and Subramaniam Vincent. Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation. In Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR), 2022.
-
Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang and Subramaniam Vincent. DIANES: A DEI Audit Toolkit for News Sources. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022.
-
Yuan Wang, Zhiqiang Tao, Yi Fang. A Meta-learning Approach to Fair Ranking. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022.
- Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, and Yi Fang. A Multi-task Learning Framework for Product Ranking with BERT. In Proceedings of the Web Conference (WWW), 2022.
- Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, and Dongfang Liu. WebFormer: The Web-page Transformer for Structure Information Extraction. In Proceedings of the Web Conference (WWW), 2022.
- Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu. Deep Partial Multiplex Network Embedding. In Companion Proceedings of the Web Conference 2022 (Workshop on Graph Learning), 2022.
- Zhiyuan Peng, Behnoush Abdollahi, Min Xie, Yi Fang. Multi-label Classification of Short Texts with Label Correlated Recurrent Neural Networks. In Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR), 2021.
- Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang. Karaoke Key Recommendation Via Personalized Competence-Based Rating Prediction. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
- Yuan Wang, Chenwei Wang, Yinan Ling, Keita Yokoyama, Hsin-Tai Wu, Yi Fang. Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services. In IEEE International Conference on Big Data, 2020.
- Boli Fang, Miao Jiang, Pei-Yi Cheng, Jerry Shen, Yi Fang. Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems. In the 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020.
- Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang. node2hash: Graph aware Deep Semantic Text Hashing. In Information Processing & Management (IPM), 2019.
-
Suthee Chaidaroon, Yi Fang, Min Xie, Alessandro Magnani. Neural Compatibility Ranking for Text-based Fashion Matching. In Proceedings of the 42th 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 41th 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.
-
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.
Selected Services
Steering Committee, ACM ICTIR, 2020 - present; Chair, 2022 - present
Organizing Committee
- Program Co-Chair, ACM ICTIR 2021, virtual
- General Co-Chair, ACM ICTIR 2019, Santa Clara
- Tutorial Chair, IEEE BigData, 2016
- Local Chair, CIKM, 2013.
- Local Chair, ICME, 2013.
Program Committee
- Senior Program Committee: SIGIR, 2020-present; CIKM, 2016.
- SIGIR, CIKM, ECIR, AAAI, IJCAI, WSDM, ICDM, SDM, etc.
Teaching
I am passionate about teaching. I have created and taught the following courses at SCU:
- 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
In addition, I taught
- COEN 11: Advanced Programming
- COEN 162: Web Infrastructure
Awards
- Teacher of the Year, School of Engineering, 2017
- Reseacher of the Year, School of Engineering, 2017
- Outstanding Service Award, ACM CIKM, 2013
- Outstanding Service Award, IEEE ICME, 2013
- PhD dissertation nominated for the Outstanding Dissertation Award of Purdue University
- Meritorious Award (First Prize), International Annual Mathematical Contest in Modeling (MCM)