| 2026 | SIGIR | Large-Scale Online Learning for Generative List Recommendation in E-commerce: An Environment Policy Optimization Approach. | Yuan Wang, Zhiyu Li, Ang Gao, Changshuo Zhang, Xiao Zhang, Jun Xu, Quan Lin |
| 2025 | ICASSP | MQAD: A Large-Scale Question Answering Dataset for Training Music Large Language Models. | Zhihao Ouyang, Ju-Chiang Wang, Daiyu Zhang, Bin Chen, Shangjie Li, Quan Lin |
| 2024 | RecSys | Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce. | Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin |
| 2023 | KDD | Controllable Multi-Objective Re-ranking with Policy Hypernetworks. | Sirui Chen, Yuan Wang, Zijing Wen, Zhiyu Li, Changshuo Zhang, Xiao Zhang, Quan Lin, Cheng Zhu, Jun Xu |
| 2020 | WWW | Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. | Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani |
| 2020 | SIGIR | GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation. | Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang |
| 2020 | SIGIR | Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. | Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang |
| 2019 | AAAI | Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System. | Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang |
| 2019 | CIKM | SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. | Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng |
| 2010 | ADMA | TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support. | Yuhua Li, Quan Lin, Ruixuan Li, Dongsheng Duan |
| 2010 | KDD | Social action tracking via noise tolerant time-varying factor graphs. | Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang |