Ke, JingHan

5 publications

NeurIPS 2025 Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen

ICLR 2025 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives Wang Qinsi, Jinghan Ke, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

NeurIPS 2024 Key-Grid: Unsupervised 3D Keypoints Detection Using Grid Heatmap Features Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu

CoRL 2023 Diff-LfD: Contact-Aware Model-Based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-Based Simulation and Rendering Xinghao Zhu, JingHan Ke, Zhixuan Xu, Zhixin Sun, Bizhe Bai, Jun Lv, Qingtao Liu, Yuwei Zeng, Qi Ye, Cewu Lu, Masayoshi Tomizuka, Lin Shao

NeurIPS 2023 MathNAS: If Blocks Have a Role in Mathematical Architecture Design Qinsi Wang, Jinghan Ke, Zhi Liang, Sihai Zhang