Jianda Chen

According to our database, Jianda Chen authored at least 24 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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 W. Tsang, Haiyan Yin

CoRR, May, 2025

Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners.

Wen Zheng Terence Ng, Jianda Chen, Yuan Xu, Tianwei Zhang

CoRR, March, 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, March, 2025

Position: Standard Benchmarks Fail - LLM Agents Present Overlooked Risks for Financial Applications.

Zichen Chen, Jiaao Chen, Jianda Chen, Misha Sra

CoRR, February, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Large Language Models Know What Makes Exemplary Contexts.

Quanyu Long, Jianda Chen, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

State Chrono Representation for Enhancing Generalization in Reinforcement Learning.

Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Off-dynamics Conditional Diffusion Planners.

Wen Zheng Terence Ng, Jianda Chen, Tianwei Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Dual Action Policy for Robust Sim-to-Real Reinforcement Learning.

Wen Zheng Terence Ng, Jianda Chen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs.

Zichen Chen, Jianda Chen, Ambuj K. Singh, Misha Sra

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making.

Zichen Chen, Jianda Chen, Mitali Gaidhani, Ambuj K. Singh, Misha Sra

CoRR, 2023

2022

Advanced topics in deep reinforcement learning and its applications

Jianda Chen

PhD thesis, 2022

Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning.

Jianda Chen, Sinno Jialin Pan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities.

Jianda Chen, Sinno Jialin Pan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Sequential Generative Exploration Model for Partially Observable Reinforcement Learning.

Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Full Density Stereo Matching System Based on the Combination of CNNs and Slanted-Planes.

Long Chen, Lei Fan, Jianda Chen, Dongpu Cao, Feiyue Wang

IEEE Trans. Syst. Man Cybern. Syst., 2020

Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning.

Jianda Chen, Shangyu Chen, Sinno Jialin Pan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Accelerate Learning of Deep Hashing With Gradient Attention.

Long-Kai Huang, Jianda Chen, Sinno Jialin Pan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning.

Haiyan Yin, Jianda Chen, Sinno Jialin Pan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Transforming a 3-D LiDAR Point Cloud Into a 2-D Dense Depth Map Through a Parameter Self-Adaptive Framework.

Long Chen, Yuhang He, Jianda Chen, Qingquan Li, Qin Zou

IEEE Trans. Intell. Transp. Syst., 2017

Multi-View Feature Combination for Ancient Paintings Chronological Classification.

Long Chen, Jianda Chen, Qin Zou, Kai Huang, Qingquan Li

ACM Journal on Computing and Cultural Heritage, 2017

2016

Multi-task Relative Attribute Prediction by Incorporating Local Context and Global Style Information.

Yuhang He, Long Chen, Jianda Chen

Proceedings of the British Machine Vision Conference 2016, 2016

2015

A novel way to organize 3D LiDAR point cloud as 2D depth map height map and surface normal map.

Yuhang He, Long Chen, Jianda Chen, Ming Li

Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015