| 2026 | ACL | From Tasks to Teams: A Risk-First Evaluation Framework for Multi-Agent LLM Systems in Finance. | Zichen Chen, Jianda Chen, Jiaao Chen, Misha Sra |
| 2025 | ACL | Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts. | Quanyu Long, Jianda Chen, Zhengyuan Liu, Nancy F. Chen, Wenya Wang, Sinno Jialin Pan |
| 2025 | ICRA | Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners. | Wen Zheng Terence Ng, Jianda Chen, Yuan Xu, Tianwei Zhang |
| 2024 | EMNLP | XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs. | Zichen Chen, Jianda Chen, Ambuj K. Singh, Misha Sra |
| 2024 | ICANN | Dual Action Policy for Robust Sim-to-Real Reinforcement Learning. | Wen Zheng Terence Ng, Jianda Chen |
| 2024 | ICRA | Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners. | Wen Zheng Terence Ng, Jianda Chen, Sinno Jialin Pan, Tianwei Zhang |
| 2024 | IROS | Off-dynamics Conditional Diffusion Planners. | Wen Zheng Terence Ng, Jianda Chen, Tianwei Zhang |
| 2022 | ICLR | Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. | Jianda Chen, Sinno Jialin Pan |
| 2021 | AAAI | Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. | Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek |
| 2019 | ICCV | Accelerate Learning of Deep Hashing With Gradient Attention. | Long-Kai Huang, Jianda Chen, Sinno Jialin Pan |
| 2018 | IJCAI | Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. | Haiyan Yin, Jianda Chen, Sinno Jialin Pan |
| 2016 | BMVC | Multi-task Relative Attribute Prediction by Incorporating Local Context and Global Style Information. | Yuhang He, Long Chen, Jianda Chen |