I am a PhD student in the Information Hub Internet of Things Thrust at The Hong Kong University of Science and Technology (Guangzhou) under the supervision of Prof. Jiadong Yu and Prof. Hui Xiong. My research interests lie in multi-agent reinforcement learning, diffusion models. I obtained my master’s degree in Information and Communication Engineering in Jun. 2024 at the University of Science and Technology of China, where my advisor was Prof. Zhengyuan Xu.

Education

• B.E. in Chongqing University (CQU), top 2%, 2017-2021
• M.E. in University of Science and Technology of China (USTC), top 15%, 2021–2024
• Exchange student in National Taiwan University (NTU), Feb. 2019 – June. 2019
• PhD student in the Hong Kong University of Science and Technology (Guangzhou) (HKUSTGZ), 2025 - present

Skills

• Programming: Python, MATLAB, C/C++.
• Language Proficiency
  • English (IELTS 6.5 (6) points, GRE 325 (V:155; Q: 170; AW:3.5)).
  • Chinese.

Honors & Awards

• China Computer Federation (CCF) Computational Economics Competition, Top 5, 2023
• Excellent Oral Presentation on 2023 the 15th International Conference on Communication Software and Networks, China, 2023
• Outstanding Student Scholarship, First Prize, USTC, 2021 - 2022
• Outstanding Graduates Awards, CQU, 2021
• Chongqing University Comprehensive Scholarship, CQU, 2017-2021
• National English Competition for College Students, Second Prize, China, 2020
• Chongqing University Scholarship for Exchange Study Abroad, CQU, 2019
• Outstanding Volunteer of the International Companions for Learning (ICL) program, NTU, 2019
• “Higher Education Cup” National Mathematical Model Competition, First Prize, Chongqing, 2019
• Merit Students Awards, CQU, 2018
• Mathematical Competition for National College Students, First Prize, Chongqing, 2018

Publications

Backscattering Interference Channel Characteristics in Full-Duplex Underwater Optical Wireless Communication
Xinren Zhang, Weijie Liu, Nuo Huang and Zhengyuan Xu
ICCSN, Jul. 2023. [Paper]
Orthogonal Waveform-Based Backscattering Interference Suppression Technique for Underwater Optical Wireless Communication
Xinren Zhang, Weijie Liu, Nuo Huang and Zhengyuan Xu
Journal of the Optical Society of America A, Jun. 2024. [Paper]
Rethinking the Reward Design for DRL in Mobile Communication Systems with Generative Diffusion Models
Xinren Zhang, Chen Shang and Jiadong Yu
IEEE International Conference on Communications Workshops (ICC Workshops), Jun. 2025. [Paper]
Improve the Training Efficiency of DRL for Wireless Communication Resource Allocation: The Role of Generative Diffusion Models
Xinren Zhang and Jiadong Yu.
IEEE Transactions on Wireless Communications, Feb. 2026. [Paper]
Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL
Xinren Zhang, Zixin Zhong and Jiadong Yu
Reinforcement Learning Conference, Aug. 2026. [Paper]
Network Topology and Information Efficiency of Multi-Agent Systems: Study based on MARL
Xinren Zhang, Sixi Cheng, Zixin Zhong and Jiadong Yu.
Preprint. [arXiv]
Learning Efficient Communication Protocols for Multi-Agent Reinforcement Learning
Xinren Zhang, Jiadong Yu, and Zixin Zhong.
IEEE Transactions on Machine Learning in Communications and Networking, Jul, 2026. [Paper]

Patent

An Asynchronous Superposition Based Backscattering Suppression Method for Underwater Optical Wireless Communication
Weijie Liu, Xinren Zhang, Nuo Huang, Chen Gong, Shangbin Li and Zhengyuan Xu, Invention patent, CN, authorized, 202410763676.X.