| Expertise Retrieval K Balog, Y Fang, M de Rijke, P Serdyukov, L Si Foundations and Trends in Information Retrieval, pp 127-256, 2012 | 339 | 2012 |
| Collaborative memory network for recommendation systems T Ebesu, B Shen, Y Fang The 41st international ACM SIGIR conference on research & development in …, 2018 | 306 | 2018 |
| Neural Citation Network for Context-Aware Citation Recommendation T Ebesu, Y Fang Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 155 | 2017 |
| Mining contrastive opinions on political texts using cross-perspective topic model Y Fang, L Si, N Somasundaram, Z Yu Proceedings of the fifth ACM international conference on Web search and data …, 2012 | 154 | 2012 |
| Matrix co-factorization for recommendation with rich side information and implicit feedback Y Fang, L Si Proceedings of the 2nd International Workshop on Information Heterogeneity …, 2011 | 118 | 2011 |
| Discriminative models of integrating document evidence and document-candidate associations for expert search Y Fang, L Si, AP Mathur Proceedings of the 33rd international ACM SIGIR conference on Research and …, 2010 | 99 | 2010 |
| Variational Deep Semantic Hashing for Text Documents S Chaidaroon, Y Fang Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 71 | 2017 |
| Tracking climate change opinions from twitter data X An, AR Ganguly, Y Fang, SB Scyphers, AM Hunter, JG Dy Workshop on data science for social good, 1-6, 2014 | 70 | 2014 |
| Where not to go? Detecting road hazards using Twitter A Kumar, M Jiang, Y Fang Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 61 | 2014 |
| Neural semantic personalized ranking for item cold-start recommendation T Ebesu, Y Fang Information Retrieval Journal 20, 109-131, 2017 | 52 | 2017 |
| A dual-perspective latent factor model for group-aware social event recommendation Y Jhamb, Y Fang Information Processing & Management 53 (3), 559-576, 2017 | 50 | 2017 |
| Entity retrieval by hierarchical relevance model, exploiting the structure of tables and learning homepage classifiers Y Fang Proceedings of the eighteenth Text REtrieval Conference (TREC 2009), 2010 | 50 | 2010 |
| Attentive contextual denoising autoencoder for recommendation Y Jhamb, T Ebesu, Y Fang Proceedings of the 2018 ACM SIGIR international conference on theory of …, 2018 | 49 | 2018 |
| Webformer: The web-page transformer for structure information extraction Q Wang, Y Fang, A Ravula, F Feng, X Quan, D Liu Proceedings of the ACM Web Conference 2022, 3124-3133, 2022 | 40 | 2022 |
| Robust probabilistic multivariate calibration model Y Fang, MK Jeong Technometrics, 2012 | 36* | 2012 |
| User click prediction for personalized job recommendation M Jiang, Y Fang, H Xie, J Chong, M Meng World Wide Web 22, 325-345, 2019 | 34 | 2019 |
| Product review summarization through question retrieval and diversification M Liu, Y Fang, AG Choulos, DH Park, X Hu Information Retrieval Journal, 1-31, 2017 | 30 | 2017 |
| Mobile app retrieval for social media users via inference of implicit intent in social media text DH Park, Y Fang, M Liu, CX Zhai Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 30 | 2016 |
| Deep semantic text hashing with weak supervision S Chaidaroon, T Ebesu, Y Fang The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 28 | 2018 |
| Discriminative probabilistic models for expert search in heterogeneous information sources Y Fang, L Si, AP Mathur Information Retrieval 14, 158-177, 2011 | 28 | 2011 |
