A novel way to organize 3D LiDAR point cloud as 2D depth map height map and surface normal map. - Yuhang He; Long Chen 005; Jianda Chen; Ming Li (ROBIO, 2015)

Multi-task Relative Attribute Prediction by Incorporating Local Context and Global Style Information. - Yuhang He; Long Chen 005; Jianda Chen (BMVC, 2016)

Multi-View Feature Combination for Ancient Paintings Chronological Classification. - Long Chen 005; Jianda Chen; Qin Zou 001; Kai Huang 001; Qingquan Li (ACM Journal on Computing and Cultural Heritage, 2017)

Transforming a 3-D LiDAR Point Cloud Into a 2-D Dense Depth Map Through a Parameter Self-Adaptive Framework. - Long Chen 005; Yuhang He; Jianda Chen; Qingquan Li; Qin Zou 001 (IEEE Trans. Intell. Transp. Syst., 2017)

Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. - Haiyan Yin; Jianda Chen; Sinno Jialin Pan (IJCAI, 2018)

Accelerate Learning of Deep Hashing With Gradient Attention. - Long-Kai Huang; Jianda Chen; Sinno Jialin Pan (ICCV, 2019)

Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning. - Jianda Chen; Shangyu Chen; Sinno Jialin Pan (NeurIPS, 2020)

A Full Density Stereo Matching System Based on the Combination of CNNs and Slanted-Planes. - Long Chen 005; Lei Fan 005; Jianda Chen; Dongpu Cao; Feiyue Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. - Haiyan Yin; Jianda Chen; Sinno Jialin Pan; Sebastian Tschiatschek (AAAI, 2021)

Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities. - Jianda Chen; Sinno Jialin Pan (ICLR, 2022)

Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning. - Jianda Chen; Sinno Jialin Pan (NeurIPS, 2022)

Advanced topics in deep reinforcement learning and its applications - Jianda Chen (2022)

XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making. - Zichen Chen; Jianda Chen; Mitali Gaidhani; Ambuj K. Singh; Misha Sra (CoRR, 2023)

XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs. - Zichen Chen; Jianda Chen; Ambuj K. Singh; Misha Sra (EMNLP, 2024)

Dual Action Policy for Robust Sim-to-Real Reinforcement Learning. - Wen Zheng Terence Ng; Jianda Chen (ICANN (4), 2024)

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 004 (ICRA, 2024)

Off-dynamics Conditional Diffusion Planners. - Wen Zheng Terence Ng; Jianda Chen; Tianwei Zhang 004 (IROS, 2024)

State Chrono Representation for Enhancing Generalization in Reinforcement Learning. - Jianda Chen; Wen Zheng Terence Ng; Zichen Chen; Sinno Jialin Pan; Tianwei Zhang 004 (NeurIPS, 2024)

Large Language Models Know What Makes Exemplary Contexts. - Quanyu Long; Jianda Chen; Wenya Wang 001; Sinno Jialin Pan (CoRR, 2024)

Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts. - Quanyu Long; Jianda Chen; Zhengyuan Liu; Nancy F. Chen; Wenya Wang 001; Sinno Jialin Pan (ACL (Findings), 2025)

Position: Standard Benchmarks Fail - LLM Agents Present Overlooked Risks for Financial Applications. - Zichen Chen; Jiaao Chen; Jianda Chen; Misha Sra (CoRR, 2025)

Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration. - Chengqi Zheng; Haiyan Yin; Jianda Chen; Terence Ng; Yew-Soon Ong; Ivor W. Tsang (CoRR, 2025)

Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners. - Wen Zheng Terence Ng; Jianda Chen; Yuan Xu; Tianwei Zhang 004 (CoRR, 2025)

MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming. - Chengqi Zheng; Jianda Chen; Yueming Lyu; Wen Zheng Terence Ng; Haopeng Zhang 005; Yew-Soon Ong; Ivor W. Tsang; Haiyan Yin (CoRR, 2025)