Haichuan Gao

According to our database, Haichuan Gao authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

Chain-of-Detection: Enhancing Cross-Granularity Robotic Perception for Object Manipulation.

Tianrun Xu, Haichuan Gao, Changlin Chen, Yuxuan Li, Shiyuan Xu, Shangqi Guo, Feng Chen

IEEE Trans. Neural Networks Learn. Syst., April, 2026

2025

DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning.

Tianrun Xu, Haoda Jing, Ye Li, Yuquan Wei, Jun Feng, Guanyu Chen, Haichuan Gao, Tianren Zhang, Feng Chen

CoRR, September, 2025

Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer.

Junyi Wang, Xi Zhu, Yikun Guo, Zixi Wang, Haichuan Gao, Le Zhang, Fan Zhang

CoRR, August, 2025

Causal dreamer for partially observable model-based reinforcement learning.

Haichuan Gao, Tianrun Xu, Tianren Zhang, Yuqing Guo, Chujie Zhao, Jinsheng Ren, Yizhou Jiang, Shangqi Guo, Feng Chen

Neurocomputing, 2025

OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding.

Tianrun Xu, Guanyu Chen, Ye Li, Yuxin Xi, Zeyu Mu, Ruichen Wang, Tianren Zhang, Haichuan Gao, Feng Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers.

Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Partial Consistency for Stabilizing Undiscounted Reinforcement Learning.

Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Down-Sized Initialization for Optimization-Based Unstructured Trajectory Planning by Only Optimizing Critical Variables.

Yuqing Guo, Danya Yao, Bai Li, Haichuan Gao, Li Li

IEEE Trans. Intell. Veh., January, 2023

Fast Counterfactual Inference for History-Based Reinforcement Learning.

Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Trajectory Planning for an Autonomous Vehicle in Spatially Constrained Environments.

Yuqing Guo, Danya Yao, Bai Li, Zimin He, Haichuan Gao, Li Li

IEEE Trans. Intell. Transp. Syst., 2022

Learning Invariable Semantical Representation from Language for Extensible Policy Generalization.

Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen

CoRR, 2022

Iterative Interactive Modeling for Knotting Plastic Bags.

Chongkai Gao, Zekun Li, Haichuan Gao, Feng Chen

Proceedings of the Conference on Robot Learning, 2022

2021

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model.

Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning.

Haichuan Gao, Zhile Yang, Xin Su, Tian Tan, Feng Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020