Jinghan Ke

According to our database, Jinghan Ke authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning.

Qinsi Wang, Hancheng Ye, Jinhee Kim, Jinghan Ke, Yifei Wang, Martin Kuo, Zishan Shao, Dongting Li, Yueqian Lin, Ting Jiang, Chiyue Wei, Qi Qian, Wei Wen, Helen Li, Yiran Chen

CoRR, March, 2026

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

CoRR, June, 2025

Can Large Language Models Become Policy Refinement Partners? Evidence from China's Social Security Studies.

Jinghan Ke, Zheng Zhou, Yuxuan Zhao

CoRR, April, 2025

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives.

Qinsi Wang, Jinghan Ke, Masayoshi Tomizuka, Yiran Chen, Kurt Keutzer, Chenfeng Xu

CoRR, February, 2025

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives.

Qinsi Wang, Jinghan Ke, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features.

Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

MathNAS: If Blocks Have a Role in Mathematical Architecture Design.

Qinsi Wang, Jinghan Ke, Zhi Liang, Sihai Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Conference on Robot Learning, 2023