| 2026 | AAAI | Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning. | Shenghong He, Chao Yu, Qian Lin, Yile Liang, Donghui Li, Xuetao Ding |
| 2025 | AAAI | Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization. | Zongkai Liu, Qian Lin, Chao Yu, Xiawei Wu, Yile Liang, Donghui Li, Xuetao Ding |
| 2024 | KDD | Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments. | Yile Liang, Jiuxia Zhao, Donghui Li, Jie Feng, Chen Zhang, Xuetao Ding, Jinghua Hao, Renqing He |
| 2023 | CIKM | Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions. | Yile Liang, Donghui Li, Jiuxia Zhao, Xuetao Ding, Huanjia Lian, Jinghua Hao, Renqing He |
| 2023 | ICDE | Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract. | Tieyun Qian, Yile Liang, Qing Li, Hui Xiong |
| 2023 | SIGIR | RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System. | Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan |
| 2022 | DASFAA | Enhancing Graph Convolution Network for Novel Recommendation. | Xuan Ma, Tieyun Qian, Yile Liang, Ke Sun, Hang Yun, Mi Zhang |
| 2022 | SIGIR | Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. | Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu |
| 2021 | SIGIR | Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. | Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin |
| 2020 | AAAI | Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. | Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2020 | DASFAA | Adversarial Generation of Target Review for Rating Prediction. | Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu |
| 2019 | DASFAA | Align Reviews with Topics in Attention Network for Rating Prediction. | Yile Liang, Tieyun Qian, Huilin Yu |