Jianda Chen

According to our database, Jianda Chen authored at least 13 papers between 2015 and 2023.

Collaborative distances:

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

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