| 2026 | AAAI | Pre-Trained Video Generative Models as World Simulators. | Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan |
| 2025 | AAAI | Flow Factorization for Efficient Generative Flow Networks. | Jiashun Liu, Chunhui Li, Cheng-Hao Liu, Dianbo Liu, Qingpeng Cai, Ling Pan |
| 2025 | AAAI | Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets. | Ling Pan |
| 2025 | CVPR | Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation. | Taeyoung Yun, Dinghuai Zhang, Jinkyoo Park, Ling Pan |
| 2025 | ICCV | Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering. | Kaixuan Jiang, Yang Liu, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin |
| 2025 | ICLR | Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets. | Haoran He, Can Chang, Huazhe Xu, Ling Pan |
| 2025 | ICLR | Neuroplastic Expansion in Deep Reinforcement Learning. | Jiashun Liu, Johan S. Obando-Ceron, Aaron C. Courville, Ling Pan |
| 2025 | ICML | Random Policy Evaluation Uncovers Policies of Generative Flow Networks. | Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan |
| 2025 | ICML | The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning. | Jiashun Liu, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Ling Pan |
| 2025 | SIGIR | AgentIR: 2nd Workshop on Agent-based Information Retrieval. | Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2024 | CoRL | Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective. | Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang |
| 2024 | ICLR | Pre-Training and Fine-Tuning Generative Flow Networks. | Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio |
| 2024 | ICML | Learning to Scale Logits for Temperature-Conditional GFlowNets. | Minsu Kim, Joohwan Ko, Taeyoung Yun, Dinghuai Zhang, Ling Pan, Woochang Kim, Jinkyoo Park, Emmanuel Bengio, Yoshua Bengio |
| 2024 | SIGIR | AgentIR: 1st Workshop on Agent-based Information Retrieval. | Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2023 | ICLR | Generative Augmented Flow Networks. | Ling Pan, Dinghuai Zhang, Aaron C. Courville, Longbo Huang, Yoshua Bengio |
| 2023 | ICLR | RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch. | Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang |
| 2023 | ICML | Better Training of GFlowNets with Local Credit and Incomplete Trajectories. | Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio |
| 2023 | UAI | Stochastic Generative Flow Networks. | Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio |
| 2022 | ICML | Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification. | Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu |
| 2022 | MOBIHOC | Effective multi-user delay-constrained scheduling with deep recurrent reinforcement learning. | Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang |
| 2020 | AAAI | Deterministic Value-Policy Gradients. | Qingpeng Cai, Ling Pan, Pingzhong Tang |
| 2020 | IJCAI | Reinforcement Learning with Dynamic Boltzmann Softmax Updates. | Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang |
| 2019 | AAAI | A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. | Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang |