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Changxin Liu – Publications

A more recent list of my publications can be found at Google Scholar.

Preprints

  1. Asynchronous Distributed Optimization with Delay-Free Parameters
    Xuyang Wu, Changxin Liu, Sindri Magnusson and Mikael Johansson.

  2. Constrained Optimization with Decision-Dependent Distributions
    Zifan Wang, Changxin Liu, Thomas Parisini, Michael M. Zavlanos and Karl H. Johansson.

  3. A Robust Distributed MPC Framework for Multi-Agent Consensus with Communication Delays
    Henglai Wei, Changxin Liu and Yang Shi.

Journals and Machine Learning Conference Papers

  1. Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers
    Yuhao Yi, Ronghui You, Hong Liu, Changxin Liu, Yuan Wang and Jiancheng Lv. Accepted to Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.

  2. Distributed Empirical Risk Minimization with Differential Privacy
    Changxin Liu, Karl H. Johansson and Yang Shi. Accepted to Automatica, 2023.

  3. Delay-Agnostic Asynchronous Coordinate Update Algorithm
    Xuyang Wu, Changxin Liu, Sindri Magnusson and Mikael Johansson. In Proceedings of the 40th International Conference on Machine Learning (ICML), 2023.

  4. Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence
    Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang and Yang Shi. IEEE Transactions on Automatic Control (IEEE TAC), 2022.

  5. Self-Triggered Adaptive Model Predictive Control of Constrained Nonlinear Systems: A Min-Max Approach
    Kunwu Zhang, Changxin Liu and Yang Shi. Automatica, 142, 110424, 2022.

  6. Accelerated Dual Averaging Methods for Decentralized Constrained Optimization
    Changxin Liu, Yang Shi, Huiping Li and Wenli Du. IEEE Transactions on Automatic Control (IEEE TAC), 2022.

  7. Stabilizing Terminal Constraint-Free Nonlinear MPC via Sliding Mode-Based Terminal Cost
    Daxiong Ji, Jie Ren, Changxin Liu and Yang Shi. Automatica, 134, 109898, 2021.

  8. Resource-Aware Exact Decentralized Optimization Using Event-Triggered Broadcasting
    Changxin Liu, Huiping Li and Yang Shi. IEEE Transactions on Automatic Control (IEEE TAC), 66(7): 2961-2974, 2021.

  9. A Unitary Distributed Subgradient Method for Multi-Agent Optimization with Different Coupling Sources
    Changxin Liu, Huiping Li and Yang Shi. Automatica, 114, 108834, 2020.

  10. Distributed Event-Triggered Model Predictive Control of Coupled Nonlinear Systems
    Changxin Liu, Huiping Li, Yang Shi and Demin Xu. SIAM Journal on Control and Optimization (SICON), 58(2): 714-734, 2020.

  11. Distributed Event-Triggered Gradient Method for Constrained Convex Minimization
    Changxin Liu, Huiping Li, Yang Shi and Demin Xu. IEEE Transactions on Automatic Control (IEEE TAC), 65(2): 778-785, 2020.

  12. Co-Design of Event Trigger and Feedback Policy in Robust Model Predictive Control
    Changxin Liu, Huiping Li, Yang Shi and Demin Xu. IEEE Transactions on Automatic Control (IEEE TAC), 65(1): 302-309, 2020.

  13. Robust Self-Triggered Min-Max Model Predictive Control for Discrete-Time Nonlinear Systems
    Changxin Liu, Huiping Li, Jian Gao and Demin Xu. Automatica, 89: 333-339, 2018.

  14. Aperiodic Robust Model Predictive Control for Constrained Continuous-Time Nonlinear Systems: An Event-Triggered Approach
    Changxin Liu, Jian Gao, Huiping Li and Demin Xu. IEEE Transactions on Cybernetics (IEEE TCYB), 48(5): 1397-1405, 2018.

  15. Lyapunov-Based Model Predictive Control for Tracking of Nonholonomic Mobile Robots Under Input Constraints
    Changxin Liu, Jian Gao and Demin Xu. International Journal of Control, Automation and Systems (IJCAS), 15(5): 2313-2319, 2017.

  16. Nonlinear Model Predictive Dynamic Positioning Control of an Underwater Vehicle with an Onboard USBL System
    Jian Gao, Changxin Liu and Alison Proctor. Journal of Marine Science and Technology (JMST), 21(1): 57-69, 2016.

Other Conference Papers

  1. Delay-Agnostic Asynchronous Distributed Optimization
    Xuyang Wu, Changxin Liu, Sindri Magnusson and Mikael Johansson. Accepted to Proceedings of the IEEE Conference on Decision and Control (CDC’23), 2023.

  2. Differentially Private Set-Based Estimation Using Zonotopes
    Mohammed M. Dawoud, Changxin Liu, Amr Alanwar and Karl H. Johansson. In Proceedings of the 2023 European Control Conference (ECC’23), Bucharest, Romania, June 13-16, 2023.

  3. Resilient Distributed Optimization Under Mobile Malicious Attacks
    Yuan Wang, Changxin Liu, Hideaki Ishii and Karl H. Johansson. In Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, July 9-14, 2023.

  4. Secure State Estimation Against Sparse Attacks on a Time-Varying Set of Sensors
    Zishuo Li, M. Umar B. Niazi, Changxin Liu, Yilin Mo and Karl H. Johansson. In Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, July 9-14, 2023.

  5. Rate Analysis of Dual Averaging for Nonconvex Distributed Optimization
    Changxin Liu, Xuyang Wu, Xinlei Yi, Yang Shi and Karl H. Johansson. In Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, July 9-14, 2023.

  6. Robust Risk-Aware Model Predictive Control of Linear Systems with Bounded Disturbances
    Yulong Gao, Changxin Liu and Karl H. Johansson. In Proceedings of the IEEE Conference on Decision and Control (CDC’22), Cancún, Mexico, December 6-9, 2022.

  7. Private Stochastic Dual Averaging for Decentralized Empirical Risk Minimization
    Changxin Liu, Karl H. Johansson and Yang Shi. In Proceedings of the IFAC Conference on Networked Systems (NecSys’22), Zurich, Switzerland, July 5-7, 2022.

  8. Improving Fairness for Data Valuation in Horizontal Federated Learning
    Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu and Yong Zhang. In Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE’22), Kuala Lumpur, Malaysia, May 9-12, 2022. (CCF-A)

  9. Towards an O(1/t) Convergence Rate for Distributed Dual Averaging
    Changxin Liu, Huiping Li and Yang Shi. In Proceedings of the 21st IFAC World Congress, Berlin, Germany, July 12-17, 2020.

  10. Event-Triggered Broadcasting for Distributed Smooth Optimization
    Changxin Liu, Huiping Li and Yang Shi. In Proceedings of the 58th IEEE Conference on Decision and Control, Nice, France, December 11-13, 2019.

  11. Computationally Efficient Adaptive Model Predictive Control for Constrained Linear Systems with Parametric Uncertainties
    Kunwu Zhang, Changxin Liu and Yang Shi. In Proceedings of the 28th IEEE International Symposium on Industrial Electronics, Vancouver, Canada, June 12-14, 2019.

  12. Distributed Dual Subgradient Method with Double Averaging: Applications to QoS Optimization in Wireless Networks
    Changxin Liu, Huiping Li and Yang Shi. In Proceedings of the 28th IEEE International Symposium on Industrial Electronics, Vancouver, Canada, June 12-14, 2019.

  13. Event-Triggered Distributed Receding Horizon Control of Dynamically Coupled Linear Systems
    Changxin Liu and Huiping Li. In Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29-November 1, 2017.

  14. Backstepping Adaptive Docking Control for a Full-Actuated Autonomous Underwater Vehicle with Onboard USBL System
    Jian Gao, Changxin Liu and Yingxiang Wang. In Proceedings of the 2014 Oceans - St. John's, St. John's, Canada, September 14-19, 2014.

Patents

  1. Servers, Methods and Systems for Fair and Secure Vertical Federated Learning
    Zirui Zhou, Changxin Liu and Yong Zhang. US Patent US20230084507A1, March 16, 2023.