I am a reinforcement learning research engineer at
Corpy.Co.
Previously, I obtained a Doctoral degree from Kyushu University, Japan, advised by
Prof. Jianjun Zhao.
My research focuses on
reinforcement learning (RL),
including improving RL algorithms' sample efficiency, reliability, security, privacy,
and corresponding applications.
I am looking forward to discussions and collaborations with researchers interested in these topics.
Awards: In Sep 2024, our paper was selected as the Spotlight Paper at
NeurIPS 2024.
In May 2023, our paper was selected as the Best Student Paper at
QSW 2023.
In Apr 2022, I was selected as a
JST K-Spring scholarship recipient.
In Jan 2022, our paper was selected as the Spotlight Paper at
ICLR 2023.
Experience: 2025.04-Now Research Engineer, Corpy.Co, Tokyo, Japan.
2023.12-2024.06 Research Assistant (Internship), Singapore Management University, Singapore.
2023.05-2023.09 AI/LLM Engineer (Internship), Byering Technology Co., China
2016.05-2019.03 Software Engineer at Isoftstone Network Technology Co., China.
2015.08-2016.04 Network Engineer, Jiangsu Post and Telecommunications Planning and Design Institute, China.
Education: 2022.04-2025.03 Ph.D., Kyushu University, Japan.
2020.04-2022.03 M.Eng., Kyushu University, Japan.
2019.04-2020.03 Research Student, Kyushu University, Japan.
2011.08-2015.07 B.Eng., Beijing University of Posts and Telecommunications, China.
2008.09-2011.06 High School, Ningxia Liupanshan High School, China.
Neural Episodic Control with State Abstraction Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao
The 11th International Conference on Learning Representations (ICLR 2023) Code/
Paper Spolight Paper (Top-25%)
Few-Shot Guided Mix for DNN Repairing Xuhong Ren, Bing Yu, Hua Qi, Felix Juefei-Xu,
Zhuo Li, Wanli Xue, Lei Ma and Jianjun Zhao
IEEE International Conference on Software Maintenance and Evolution (ICSME 2020). Paper