Tai-You Chen 陈泰佑
Ph.D. in Computer Science, South China University of Technology (2026)

I work on decentralized multi-agent cooperation and consensus for black-box and non-convex optimization. My research designs distributed algorithms in which agents — from wireless sensors and electric vehicles to (increasingly) LLM-based agents — coordinate through limited local communication to solve problems that no single agent can see or solve alone. I am currently looking for postdoctoral opportunities in Europe.

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Research Thread

One macro question drives my work: how should many agents that can only talk to their neighbors jointly optimize a problem they cannot even see in full? Under this thread, I develop theory, algorithms, and applications — each branch feeding the others.

Decentralized Multi-Agent Cooperation & Consensus
for black-box, non-convex, network-structured optimization

① Core Theory & Algorithms

First theoretical proof of consensus convergence for distributed evolutionary algorithms; scalable gradient-free multi-agent optimization.

MASOIE TEVC 2024  CCSA-DES TEVC 2025  MACE-PBO TSMC-S 2024

② Wireless Sensing & Multi-Target Tracking

Distributed localization and data association from bearing-only, bandwidth-limited measurements — coordination under severe communication constraints.

INFOCOM 2025  JAS 2025

③ Energy Systems

Decentralized energy management of EV fleets, explicitly modeling charging/discharging game behaviors to stabilize the grid.

GECCO 2025

④ Methodology Bridge

A systematic survey of the confluence of evolutionary computation and multi-agent systems — where the field stands and where it can go.

JAS 2025 (Survey)

⑤ Ongoing: Multi-Agent LLM × Edge–Cloud

Extending the same coordination theory to multi-agent LLM systems on the edge–cloud continuum — communication cost, convergence, and reliability at the LLM layer.

In progress

Publications

* denotes equal/lead authorship. First-author series shown by branch; co-authored work listed below.

Core Theory & Algorithms

Multi-Agent Swarm Optimization With Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization
Tai-You Chen, Wei-Neng Chen*, Fang-Fang Wei, Xiao-Min Hu, Jun Zhang
IEEE Transactions on Evolutionary Computation (TEVC), 2024 JCR Q1, IF 11.7  [code]
Multi-Agent Evolution Strategy With Cooperative and Cumulative Step Adaptation for Black-Box Distributed Optimization
Tai-You Chen, Wei-Neng Chen*, Jin-Kao Hao, Y. Wang, Jun Zhang
IEEE Transactions on Evolutionary Computation (TEVC), 2025 JCR Q1, IF 11.7  [code]
A Multiagent Co-Evolutionary Algorithm With Penalty-Based Objective for Network-Based Distributed Optimization
Tai-You Chen, Wei-Neng Chen*, Xiao-Qi Guo, Yue-Jiao Gong, Jun Zhang
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 JCR Q1, IF 8.6  [code]

Wireless Sensing & Multi-Target Tracking

Multi-Agent Swarm Optimization with Contribution-Based Cooperation for Distributed Multi-Target Localization and Data Association
Tai-You Chen, Xiao-Min Hu, Qi Lin, Wei-Neng Chen*
IEEE/CAA Journal of Automatica Sinica, 2025 JCR Q1, IF 19.2
Decentralized Evolutionary Optimization for Multi-Target Tracking and Data Association with Bearing-only Measurements
Tai-You Chen, Wei-Neng Chen*, et al.
IEEE INFOCOM 2025 Oral

Energy Systems

Multi-Agent Swarm Optimization for Decentralized Energy Management Considering Game Behaviors of Electric Vehicles
Tai-You Chen, Fang-Fang Wei, Wei-Neng Chen*
GECCO 2025 Oral

Methodology Bridge

The Confluence of Evolutionary Computation and Multi-Agent Systems: A Survey
Tai-You Chen, Wei-Neng Chen*, et al.
IEEE/CAA Journal of Automatica Sinica, 2025 JCR Q1, IF 19.2

Co-authored

Differential Privacy-Preserving Multi-Agent Swarm Optimization for Consensus-Based Distributed Optimization
J.-Y. Huang, F.-F. Wei, Tai-You Chen, W.-N. Chen
ICONIP 2025
A Nash-Based Evolutionary Algorithm for Dynamic Optimization in Multi-target UAV Tracking
R. Zhu, Tai-You Chen, W.-N. Chen
IEEE SMC 2023
A Constrained Sampling Assisted Differential Evolution for Expensive Optimization
F.-F. Wei, Tai-You Chen, X.-L. Shi, W.-N. Chen*
ICACI 2023
EARL-light: An Evolutionary Algorithm-Assisted Reinforcement Learning for Traffic Signal Control
J.-Y. Chen, F.-F. Wei, Tai-You Chen, X.-M. Hu, S.-W. Jeon, Y. Wang, W.-N. Chen*
IEEE SMC 2024
An Improved Evolutionary Reinforcement Learning Algorithm for UAV Online Target Tracking
B.-J. Yu, F.-F. Wei, Tai-You Chen, W.-N. Chen*
GECCO Companion 2024
A Distributed RBF-Assisted Differential Evolution for Distributed Expensive Constrained Optimization
F.-F. Wei, X.-Q. Guo, W.-J. Qiu, Tai-You Chen, W.-N. Chen*
DAI 2022

Textbook: W.-N. Chen, F.-F. Wei, W.-J. Qiu, M.-C. Geng, T.-Y. Chen, X.-L. Shi, Y.-T. Liu, G. Y., Parallel & Distributed Evolutionary Computation, China Machine Press, 2025 (ISBN 978-7-111-78430-2).

Patent: W.-N. Chen, T.-Y. Chen, Y.-J. Gong, “A distributed sensor target positioning method, device and storage medium,” CN115955656B, 2025.

In Progress

This site will grow with my work. Coming next: multi-agent LLM systems for the edge–cloud continuum — bringing consensus-based coordination theory to distributed LLM agents. I will also share code, datasets, talks, and open tools here as they become available.

Contact

Email: taiyouchen22@gmail.com

Google Scholar: profile

GitHub: @iamrice