| 2023 | SIGIR | Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control. | Yi Ren, Hongyan Tang, Jiangpeng Rong, Siwen Zhu |
| 2022 | CIKM | Unbiased Learning to Rank with Biased Continuous Feedback. | Yi Ren, Hongyan Tang, Siwen Zhu |
| 2020 | RecSys | Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations. | Hongyan Tang, Junning Liu, Ming Zhao, Xudong Gong |
| 2017 | COMPSAC | Predicting Misconfiguration-Induced Unsuccessful Executions of Jobs in Big Data System. | Hongyan Tang, Ying Li, Long Wang, Jing Gu, Zhonghai Wu |
| 2016 | APWEB | An Approach for Cross-Community Content Recommendation: A Case Study on Docker. | Yong Yang, Ying Li, Hongyan Tang, Tong Jia, Wenlong Shao |
| 2016 | BigData | Can We Use Programmer's Knowledge? Fixing Parameter Configuration Errors in Hadoop through Analyzing Q&A Sites. | Tong Jia, Ying Li, Hongyan Tang, Zhonghai Wu |
| 2016 | DSN | Hunting Killer Tasks for Cloud System through Behavior Pattern Learning. | Hongyan Tang, Ying Li, Tong Jia, Zhonghai Wu |
| 2016 | QRS | Hunting Killer Tasks for Cloud System through Machine Learning: A Google Cluster Case Study. | Hongyan Tang, Ying Li, Tong Jia, Zhonghai Wu |
| 2016 | TrustCom | Evaluating Performance of Rescheduling Strategies in Cloud System. | Hongyan Tang, Ying Li, Tong Jia, Zhonghai Wu |