Publications

You can also find my articles on my Google Scholar profile.

Conference Papers

[ACL'25] 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
The 63rd Annual Meeting of the Association for Computational Linguistics

[ICRA'25] Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners
Wen Zheng Terence Ng, Jianda Chen, Yuan Xu, Tianwei Zhang
IEEE International Conference on Robotics and Automation

[NeurIPS'24] State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang
Advances in Neural Information Processing Systems

[EMNLP'24] XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
Zichen Chen, Jianda Chen, Ambuj Singh, Misha Sra
The 2024 Conference on Empirical Methods in Natural Language Processing

[IROS'24] Off-dynamics Conditional Diffusion Planners
Wen Zheng Terence Ng, Jianda Chen, Tianwei Zhang
International Conference on Intelligent Robots and Systems

[ICRA'24] 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
IEEE International Conference on Robotics and Automation

[NeurIPS'22] Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
Jianda Chen, and Sinno Jialin Pan
Advances in Neural Information Processing Systems

[ICLR'22] Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities
Jianda Chen, and Sinno Jialin Pan
International Conference on Learning Representations

[AAAI'21] Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
Haiyan Yin, Jianda Chen, Sinno Jialin Pan, and Sebastian Tschiatschek
AAAI Conference on Artificial Intelligence

[NeurIPS'20] Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning
Jianda Chen, Shangyu Chen, and Sinno Jialin Pan
Advances in Neural Information Processing Systems

[ICCV'19] Accelerate Learning of Deep Hashing With Gradient Attention
Long-Kai Huang, Jianda Chen, and Sinno Jialin Pan
International Conference on Computer Vision

[IJCAI'18] Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
Haiyan Yin, Jianda Chen, and Sinno Jialin Pan
27th International Joint Conference on Artificial Intelligence

Preprints

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming
Chengqi Zheng, Jianda Chen, Yueming Lyu, Wen Zheng Terence Ng, Haopeng Zhang, Yew-Soon Ong, Ivor Tsang, Haiyan Yin

Standard Benchmarks Fail -- Auditing LLM Agents in Finance Must Prioritize Risk
Zichen Chen, Jiaao Chen, Jianda Chen, Misha Sra

Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration
Chengqi Zheng, Haiyan Yin, Jianda Chen, Wen Zheng Terence Ng, Yew-Soon Ong, Ivor Tsang

LMExplainer: Grounding Knowledge and Explaining Language Models
Zichen Chen, Jianda Chen, Yuanyuan Chen, Han Yu, Ambuj Singh, Misha Sra