Chongkai Gao

Chongkai Gao 高崇凯

PhD Student

School of Computing

National University of Singapore

Email: heegergao@gmail.com

CV • Google Scholar • GitHub • Twitter • Zhihu

I am an incoming PhD student at School of Computing, NUS, advised by Prof. Lin Shao. Previously, I obtained my Master's Degree in 2023 and my Bachelor's degree in 2020 from Department of Automation, Tsinghua University under the supervision of Prof. Feng Chen. I also work closely with Prof. Huazhe Xu.

My research interest lies in robot learning: endowing robots with the most dexterous manipulation skills based on the simplest mechanical structures.

News

[Oct, 2023] My research is funded by the President’s Graduate Fellowship (PGF). Thanks, NUS!
[Sep, 2023] LIBERO gets accepted by NeurIPS 2023 Track Datasets and Benchmarks!
[June, 2023] I start to work with Prof. Huazhe Xu as a research assistant!

Publications

	LIBERO: Benchmarking Knowledge Transfer in Lifelong Robot Learning Bo Liu∗, Yifeng Zhu∗, Chongkai Gao∗, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone * indicates equal contribution. NeurIPS 2023 Track Datasets and Benchmarks, 2023. ICRA Workshop on Effective Representations, Abstractions, and Priors for Robot Learning, 2023. Oral Presentation CoRL Workshop on Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition, 2023. Oral Presentation Paper \| Website \| Video \| Code \| Twitter
	Iterative Interactive Modeling for Knotting Plastic Bags Chongkai Gao, Zekun Li, Haichuan Gao, Feng Chen CoRL, 2022. Best Systems Paper Nomination Paper \| Zhihu \| website
	Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao, Yizhou Jiang, Feng Chen CoRL, 2022. Paper \| Code \| Zhihu
	Subjective Learning for Conflicting Data Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Chongkai Gao, Feng Chen ICLR Workshop on Agent Learning in Open-Endedness, 2022. Paper \| Zhihu
	CRIL: Continual Robot Imitation Learning via Generative and Prediction Model Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen IROS, 2021. Paper \| Code \| Zhihu

Talks

Honors and Awards

Excellent Intern, Mech-mind Robotics, 2023.
Xuancheng Talents Scholarship, Tsinghua University, 2022.
Haining Talents Scholarship, Tsinghua University, 2021.
Excellent Graduates, Tsinghua University, 2020.
Comprehensive Excellence Award, Tsinghua University, 2019.
Philobiblion Scholarship, Tsinghua University, 2019.
Scientific and Technological Innovation Award, Tsinghua University, 2019.
Third Place Award, Southern California Software Pioneer Hackathon, 2019.
Best Team Culture Award, International Aerial Robotics Competition (Asia-Pacific Venue), 2019.
Social Practice Award, Tsinghua University, 2017.

Teaching Experience

Teaching Assistant, Matrix Analysis and Application, Tsinghua University, Spring 2021 & Fall 2022.

Chongkai Gao Last updated: Oct., 2023

	LIBERO: Benchmarking Knowledge Transfer in Lifelong Robot Learning Bo Liu∗, Yifeng Zhu∗, Chongkai Gao∗, Yihao Feng, Qiang Liu, Yuke Zhu, Peter Stone * indicates equal contribution. NeurIPS 2023 Track Datasets and Benchmarks, 2023. ICRA Workshop on Effective Representations, Abstractions, and Priors for Robot Learning, 2023. Oral Presentation CoRL Workshop on Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition, 2023. Oral Presentation Paper \| Website \| Video \| Code \| Twitter
	Iterative Interactive Modeling for Knotting Plastic Bags Chongkai Gao, Zekun Li, Haichuan Gao, Feng Chen CoRL, 2022. Best Systems Paper Nomination Paper \| Zhihu \| website
	Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao, Yizhou Jiang, Feng Chen CoRL, 2022. Paper \| Code \| Zhihu
	Subjective Learning for Conflicting Data Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Chongkai Gao, Feng Chen ICLR Workshop on Agent Learning in Open-Endedness, 2022. Paper \| Zhihu
	CRIL: Continual Robot Imitation Learning via Generative and Prediction Model Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen IROS, 2021. Paper \| Code \| Zhihu