I am currently with the Microarchitecture and Integrated Circuit Laboratory (MICL), in School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB).

I am part of the Swarm Intelligence and Collabrative Computing (SICC) Group, where our research centers on swarm learning, focusing on collaborative decision-making, robustness, and secure learning within distributed systems. Our work spans two primary domains: robotics and materials big-data.

In swarm robotics, we investigate how multi-agent systems can autonomously and cooperatively perform complex tasks in uncertain environments, leveraging wireless localization, reinforcement learning, and quantum machine learning. Meanwhile, in materials science, we explore collaborative computation and secure data handling for large-scale materials datasets.

The common thread between these domains is their foundation in multi-agent systems, which allows us to apply unified theoretical approaches across diverse applications. Part of our research aims to enhance robustness and security in swarm-based decision-making and distributed learning systems.

Keywords: Swarm Robotics, Multi-Agent System, Reinforcement Learning, Localization and Navigation, Quantum Machine Learning, Blockchain, Federated Learning, Distributed Security, Materials Big-data, and AI4Science.

Part of this page still needs to be completed ! I am working on this : )

This is a FULL list of my first/correspoding-author publications sorted by year.

My research mainly focuses on the topics of Swarm Robotics, Distributed Security, and Quantum Machine Learning. Featured articles could also be referred to the Research. Simply click on the above links to see the lists organized by topics.

You may click on the paper title to see a brief introduction or supplementary materials about each article.

This page is still under construction ! MatSwarm

Being an advisor to students is the best part of my job. Have a look at my research interests and recent publications. If any of those grab you, send me with a CV and a short text describing your background.

I am currently with the Microarchitecture and Integrated Circuit Laboratory (MICL), in School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB). I am part of the Swarm Intelligence and Collabrative Computing (SICC) Group, where our research centers on swarm learning, focusing on collaborative decision-making, robustness, and secure learning within distributed systems. Our work spans two primary domains: robotics and materials big-data. In swarm robotics, we investigate how multi-agent systems can autonomously and cooperatively perform complex tasks in uncertain environments, leveraging wireless localization, reinforcement learning, and quantum machine learning.

Wang R, Xu C*, Sun J, Duan S, Zhang X. Cooperative Localization for Multi-agents based on Reinforcement Learning Compensated Filter[J]. IEEE Journal on Selected Areas in Communications, 2024, 42(10): 2820–2831. PDF Wang R, Jing Sun Xu C*, Li R, Duan S, Zhang X. Reinforcement Learning Compensated Filter for Multi-agents Cooperative Localization[C]. 2024 lEEE International Conference on Acoustics, Speech and Signal Procesing (IEEE ICASSP 2024), Seoul, Korea, 14-19 April 2024.

Chen W, Wan J, Ye F, Wang R, Xu C*. QMARL: A Quantum Multi-Agent Reinforcement Learning Framework for Swarm Robots Navigation[C]. 2nd Workshop on Signal Processing for Autonomous Systems in 2024 lEEE International Conference on Acoustics, Speech and Signal Procesing (IEEE ICASSP 2024), Seoul, Korea, 14-19 April 2024. PDF Wan J, Xu C*, Chen W, Wang R, Zhang X*. Abrupt moving target tracking based on quantum enhanced particle filter[J]. ISA Transactions, 2023: S001905782300068X.

Wang R, Xu C*, Shuhao Zhang, Fangwen Ye, Yusen Tang, Sisui Tang, Hangning Zhang, Wendi Du, Zhang X*. MatSwarm: Trusted Swarm Transfer Learning Driven Materials Computation for Secure Big Data Sharing[J]. Nature Communications, 2024. Accepted Wang R, Xu C*, Zhang X*. Toward Materials Genome Big-Data: A Blockchain-based Secure Storage and Efficient Retrieval Method[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(9): 1630–1643. PDF Wang R, Xu C*, Ye F, Tang S, Zhang X*.