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 002 (CoRL, 2023)

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

Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features. - Chengkai Hou; Zhengrong Xue; Bingyang Zhou; Jinghan Ke; Lin Shao 002; Huazhe Xu (NeurIPS, 2024)

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

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives. - Qinsi Wang; Jinghan Ke; Masayoshi Tomizuka; Yiran Chen 001; Kurt Keutzer; Chenfeng Xu (CoRR, 2025)

Can Large Language Models Become Policy Refinement Partners? Evidence from China's Social Security Studies. - Jinghan Ke; Zheng Zhou; Yuxuan Zhao (CoRR, 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 001 (CoRR, 2025)