Jingxiao Chen

timemachine _at_ sjtu.edu.cn

I am a fourth-year Ph.D. student at Shanghai Jiao Tong University, advised by Prof. Yong Yu. I hold a bachelor’s degree from the ACM Honors Class at Shanghai Jiao Tong University.

My research interests primarily lie in machine learning, with a focus on deep reinforcement learning in multi-agent systems. I am also deeply intrigued by the application of machine learning in the development of intelligent robotics, particularly in the area of human-robot interaction.

news

Jun 2026	Our paper RHINO has been accepted to IROS 2026! 🎉
Nov 2025	Our paper Offline Fictitious Self-Play for Competitive Games has been accepted to AAAI 2026 as an Oral Presentation! 🎉

selected publications

IROS

RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations

Jingxiao Chen^*, Xinyao Li^*, Jiahang Cao^*, and 7 more authors

arXiv preprint arXiv:2502.13134, 2025

arXiv Bib Video Website

@article{chen2025rhino,
  title = {RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations},
  author = {Chen, Jingxiao and Li, Xinyao and Cao, Jiahang and Zhu, Zhengbang and Dong, Wentao and Liu, Minghuan and Wen, Ying and Yu, Yong and Zhang, Liqing and Zhang, Weinan},
  journal = {arXiv preprint arXiv:2502.13134},
  year = {2025},
}

CVPR

Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation

Haotong Lin, Sida Peng, Jingxiao Chen, and 7 more authors

arXiv preprint arXiv:2412.14015, 2024

arXiv Bib Website

@article{lin2024prompting,
  title = {Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation},
  author = {Lin, Haotong and Peng, Sida and Chen, Jingxiao and Peng, Songyou and Sun, Jiaming and Liu, Minghuan and Bao, Hujun and Feng, Jiashi and Zhou, Xiaowei and Kang, Bingyi},
  journal = {arXiv preprint arXiv:2412.14015},
  year = {2024},
}

NeurIPS

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning

Hua Wei^*, Jingxiao Chen^*, Xiyang Ji^*, and 11 more authors

In Advances in Neural Information Processing Systems, 2022

arXiv Bib PDF Website

@inproceedings{NEURIPS2022_4dbb61cb,
  author = {Wei, Hua and Chen, Jingxiao and Ji, Xiyang and Qin, Hongyang and Deng, Minwen and Li, Siqin and Wang, Liang and Zhang, Weinan and Yu, Yong and Linc, Liu and Huang, Lanxiao and Ye, Deheng and Fu, Qiang and Yang, Wei},
  booktitle = {Advances in Neural Information Processing Systems},
  editor = {Koyejo, S. and Mohamed, S. and Agarwal, A. and Belgrave, D. and Cho, K. and Oh, A.},
  pages = {11881--11892},
  publisher = {Curran Associates, Inc.},
  title = {Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning},
  url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/4dbb61cb68671edc4ca3712d70083b9f-Paper-Datasets_and_Benchmarks.pdf},
  volume = {35},
  year = {2022},
}

ACL

Improving Dialog Systems for Negotiation with Personality Modeling

Runzhe Yang^*, Jingxiao Chen^*, and Karthik Narasimhan

In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021

arXiv Bib

@inproceedings{yang2021improving,
  title = {Improving Dialog Systems for Negotiation with Personality Modeling},
  author = {Yang, Runzhe and Chen, Jingxiao and Narasimhan, Karthik},
  booktitle = {Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  pages = {681--693},
  year = {2021},
}