Zhuo Li

I am a Ph.D. student at Kyushu University, Japan, advised by Prof.Jianjun Zhao. My research focuses on reinforcement learning (RL) and scales the RL algorithm's sample efficiency, reliability, security, privacy, and corresponding applications. I am glad to discuss and collaborate with researchers interested in the above topics.

Intelligent Software Engineering Laboratory
Graduate School and Faculty of Information Science and Electrical Engineering
Kyushu University
li.zhuo.786@s.kyushu-u.ac.jp

Scholar Github

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:
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.

Publications

PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques
Derui Zhu, Dingfan Chen, Xiongfei Wu, Jiahui Geng, Zhuo Li, Jens Grossklags, Lei Ma
The Thirty-eight Conference on Neural Information Processing Systems (NeurIPS 2024 Datasets and Benchmarks Track)
Paper
Spolight Paper (Top-25%)

Generative Model-Based Testing on Decision-Making Policies
Zhuo Li, Xiongfei Wu, Derui Zhu, Mingfei Cheng, Siyuan Chen, Fuyuan Zhang, Xiaofei Xie, Lei Ma, Jianjun Zhao
The 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023)
Code/ Paper

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%)

An Empirical Study of Bugs in Quantum Machine Learning Frameworks
Pengzhan Zhao, Xiongfei Wu, Junjie Luo, Zhuo Li, Jianjun Zhao
The IEEE International Conference on Quantum Software (QSW 2023)
Paper
The Best Student Paper Award

QChecker: Detecting Bugs in Quantum Programs via Static Analysis
Pengzhan Zhao, Xiongfei Wu, Zhuo Li, Jianjun Zhao
The 4th International Workshop on Quantum Software Engineering (Q-SE 2023)
Paper

GBGallery: A benchmark and framework for game testing
Zhuo Li, Yuechen Wu, Lei Ma, Xiaofei Xie, Yingfeng Chen, Changjie Fan
Empirical Software Engineering (Journal Paper).
Paper

A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding
Maryam Vahdat Pour, Zhuo Li, Lei Ma, Hadi Hemmati
IEEE International Conference on Software Testing, Verification and Validation (ICST 2021).
Paper

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