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Publications

Journal Papers

Privacy-Preserving Distributed Optimization

  • X. Chen, L. Huang, K. Ding, S. Dey, and L. Shi, Privacy-Preserving Push-sum Average Consensus via State Decomposition, IEEE Transactions on Automatic Control, 2023.

  • X. Chen, L. Huang, L. He, S. Dey, and L. Shi, A Differentially Private Method for Distributed Optimization in Directed Networks via State Decomposition, IEEE Transactions on Control of Network Systems, 2023.

  • X. Chen, W. Jiang, T. Charalambous, and L. Shi, A Privacy-Preserving Finite-Time Push-Sum based Gradient Method for Distributed Optimization over Digraphs, IEEE Control Systems Letters, 2023.

  • W. Huo, X. Chen (corresponding author), L. Huang, K. H. Johansson, and L. Shi, Differentially Private Dual Gradient Tracking for Distributed Resource Allocation, Automatica, 2025.

  • X. Chen, W. Huo, K. Ding, S. Dey, and L. Shi, Communication-Efficient and Differentially Private Distributed Nash Equilibrium Seeking with Linear Convergence, IEEE Control Systems Letters, 2024.

  • W. Huo, X. Chen, K. Ding, S. Dey, and L. Shi, Compression-based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games, IEEE Control Systems Letters, 2024.

Efficient Algorithms for Multi-Agent Systems

  • X. Chen, K. Ding, S. Dey, and L. Shi, A Linearly Convergent Distributed Heavy-Ball GNE Seeking Algorithm for Aggregative Games over Weight-Unbalanced Digraphs via Finite-Time Consensus, Automatica, 2026.

  • X. Chen, Y. Wu, X. Yi, M. Huang, and L. Shi, Linear Convergent Distributed Nash Equilibrium Seeking with Compression, IEEE Transactions on Automatic Control, 2025.

  • X. Chen, W. Huo, Y. Wu, S. Dey, and L. Shi, An Efficient Distributed Nash Equilibrium Seeking with Compressed and Event-triggered Communication, IEEE Transactions on Automatic Control, 2025.

  • X. Chen, H. Yang, S. Dey, and L. Shi, Non-Coherent Over-the-Air Decentralized Method for Non-cooperative Games in Multi-Agent Systems, IEEE Transactions on Signal Processing, 2025.

  • H. Yang, X. Chen, L. Huang, S. Dey, and L. Shi, Distributed Average Consensus via Noisy and Noncoherent Over-the-Air Aggregation, IEEE Transactions on Control of Network Systems, 2025.

  • J. Zhang, W. Huo, X. Chen (corresponding author), D. Quevedo, and L. Shi, Remote State Estimation with Discounted Multi-Armed Bandits for Non-Stationary Channel Selection, IEEE Control Systems Letters, 2025.

Mixed Integer Programming

  • M. Y. Huang, L. Y. Huang, Y. X. Zhong, H. W. Yang, X. M. Chen (co-first), W. Huo, J. Z. Wang, F. Zhang, B. Bai, and L. Shi, MILP Acceleration: A Survey from Perspectives of Simplex Initialization and Learning-Based Branch and Bound, Journal of the Operations Research Society of China, 2025.

Conference Papers

  • X. Chen, W. Huo, K. Ding, S. Dey, and L. Shi, Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence, IEEE CDC 2024.

  • X. Chen, W. Jiang, T. Charalambous, and L. Shi, A Privacy-Preserving Finite-Time Push-Sum based Gradient Method for Distributed Optimization over Digraphs, IEEE CDC 2023.

  • L. Huang, X. Chen (co-first), W. Huo, J. Wang, F. Zhang, B. Bai, and L. Shi, Improving Primal Heuristics for Mixed Integer Programming Problems based on Problem Reduction: A Learning-based Approach, ICARCV 2022.

  • X. Yang, Y. Ni, X. Chen, S. Chen, F. Liu, Optimal denial-of-service attack scheduling for remote state estimation via sequential observations, CCC, 2024.