Event-triggered distributed receding horizon control of dynamically coupled linear systems. - Changxin Liu 001; Huiping Li (IECON, 2017)

Robust self-triggered min-max model predictive control for discrete-time nonlinear systems. - Changxin Liu 001; Huiping Li; Jian Gao 003; Demin Xu (Autom., 2018)

Aperiodic Robust Model Predictive Control for Constrained Continuous-Time Nonlinear Systems: An Event-Triggered Approach. - Changxin Liu 001; Jian Gao 003; Huiping Li; Demin Xu (IEEE Trans. Cybern., 2018)

Event-triggered Broadcasting for Distributed Smooth Optimization. - Changxin Liu 001; Huiping Li; Yang Shi 001; Demin Xu (CDC, 2019)

Distributed dual subgradient method with double averaging: Application to QoS optimization in wireless networks. - Changxin Liu 001; Huiping Li; Yang Shi 001 (ISIE, 2019)

Computationally Efficient Adaptive Model Predictive Control for Constrained Linear Systems with Parametric Uncertainties. - Kunwu Zhang; Changxin Liu 001; Yang Shi 001 (ISIE, 2019)

A unitary distributed subgradient method for multi-agent optimization with different coupling sources. - Changxin Liu 001; Huiping Li; Yang Shi 001 (Autom., 2020)

Distributed Event-Triggered Model Predictive Control of Coupled Nonlinear Systems. - Changxin Liu 001; Huiping Li; Yang Shi 001; Demin Xu (SIAM J. Control. Optim., 2020)

Codesign of Event Trigger and Feedback Policy in Robust Model Predictive Control. - Changxin Liu 001; Huiping Li; Yang Shi 001; Demin Xu (IEEE Trans. Autom. Control., 2020)

Distributed Event-Triggered Gradient Method for Constrained Convex Minimization. - Changxin Liu 001; Huiping Li; Yang Shi 001; Demin Xu (IEEE Trans. Autom. Control., 2020)

Towards Fair Federated Learning. - Zirui Zhou; Lingyang Chu; Changxin Liu 001; Lanjun Wang; Jian Pei 001; Yong Zhang 004 (KDD, 2021)

Stabilizing terminal constraint-free nonlinear MPC via sliding mode-based terminal cost. - Daxiong Ji; Jie Ren; Changxin Liu 001; Yang Shi 001 (Autom., 2021)

Achieving Model Fairness in Vertical Federated Learning. - Changxin Liu 001; Zirui Zhou; Yang Shi 001; Jian Pei 001; Lingyang Chu; Yong Zhang 004 (CoRR, 2021)

Improving Fairness for Data Valuation in Federated Learning. - Zhenan Fan; Huang Fang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Changxin Liu 001; Yong Zhang 004 (CoRR, 2021)

Resource-Aware Exact Decentralized Optimization Using Event-Triggered Broadcasting. - Changxin Liu 001; Huiping Li; Yang Shi 001 (IEEE Trans. Autom. Control., 2021)

Robust Risk-Aware Model Predictive Control of Linear Systems with Bounded Disturbances. - Yulong Gao; Changxin Liu 001; Karl Henrik Johansson (CDC, 2022)

Improving Fairness for Data Valuation in Horizontal Federated Learning. - Zhenan Fan; Huang Fang; Zirui Zhou; Jian Pei 001; Michael P. Friedlander; Changxin Liu 001; Yong Zhang 004 (ICDE, 2022)

Self-triggered adaptive model predictive control of constrained nonlinear systems: A min-max approach. - Kunwu Zhang; Changxin Liu 001; Yang Shi 001 (Autom., 2022)

A Robust Distributed Model Predictive Control Framework for Consensus of Multi-Agent Systems with Input Constraints and Varying Delays. - Henglai Wei; Changxin Liu 001; Yang Shi 001 (CoRR, 2022)

Secure State Estimation against Sparse Attacks on a Time-varying Set of Sensors. - Zishuo Li; Muhammad Umar B. Niazi; Changxin Liu 001; Yilin Mo; Karl Henrik Johansson (CoRR, 2022)

Delay-Agnostic Asynchronous Distributed Optimization. - Xuyang Wu 001; Changxin Liu 001; Sindri Magnússon; Mikael Johansson 001 (CDC, 2023)

Differentially Private Set-Based Estimation Using Zonotopes. - Mohammed M. Dawoud; Changxin Liu 001; Amr Alanwar 001; Karl Henrik Johansson (ECC, 2023)

Delay-agnostic Asynchronous Coordinate Update Algorithm. - Xuyang Wu 001; Changxin Liu 001; Sindri Magnússon; Mikael Johansson 001 (ICML, 2023)

Asynchronous Distributed Optimization with Delay-free Parameters. - Xuyang Wu 001; Changxin Liu 001; Sindri Magnússon; Mikael Johansson 001 (CoRR, 2023)

Accelerated Dual Averaging Methods for Decentralized Constrained Optimization. - Changxin Liu 001; Yang Shi 001; Huiping Li; Wenli Du (IEEE Trans. Autom. Control., 2023)

Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. - Changxin Liu 001; Zirui Zhou; Jian Pei 001; Yong Zhang 004; Yang Shi 001 (IEEE Trans. Autom. Control., 2023)

Distributed empirical risk minimization with differential privacy. - Changxin Liu 001; Karl Henrik Johansson; Yang Shi 001 (Autom., 2024)

Enhancing Privacy in Federated Learning through Local Training. - Nicola Bastianello; Changxin Liu 001; Karl Henrik Johansson (CoRR, 2024)

A continuous-time violation-free multi-agent optimization algorithm and its applications to safe distributed control. - Xiao Tan 002; Changxin Liu 001; Karl Henrik Johansson; Dimos V. Dimarogonas (CoRR, 2024)

Achieving violation-free distributed optimization under coupling constraints. - Changxin Liu 001; Xiao Tan 002; Xuyang Wu 001; Dimos V. Dimarogonas; Karl Henrik Johansson (CoRR, 2024)

Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy. - Wei Huo; Changxin Liu 001; Kemi Ding; Karl Henrik Johansson; Ling Shi 001 (CoRR, 2024)

A survey on secure decentralized optimization and learning. - Changxin Liu 001; Nicola Bastianello; Wei Huo; Yang Shi 001; Karl Henrik Johansson (CoRR, 2024)

Privacy-Preserving Set-Based Estimation Using Differential Privacy and Zonotopes. - Mohammed M. Dawoud; Changxin Liu 001; Karl Henrik Johansson; Amr Alanwar 001 (CoRR, 2024)

Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering. - Changxin Liu 001; Yanghao Li; Yuhao Yi; Karl Henrik Johansson (CoRR, 2024)

A Robust Distributed MPC Framework for Multiagent Consensus With Communication Delays. - Henglai Wei; Changxin Liu 001; Yang Shi 001 (IEEE Trans. Autom. Control., 2024)

Distributed model predictive control without terminal cost under inexact distributed optimization. - Xiaoyu Liu; Dimos V. Dimarogonas; Changxin Liu 001; Azita Dabiri; Bart De Schutter (CoRR, 2025)

Decentralized Optimization with Amplified Privacy via Efficient Communication. - Wei Huo; Changxin Liu 001; Kemi Ding; Karl Henrik Johansson; Ling Shi 001 (CoRR, 2025)

A Continuous-Time Violation-Free Multiagent Optimization Algorithm and Its Applications to Safe Distributed Control. - Xiao Tan 002; Changxin Liu 001; Karl Henrik Johansson; Dimos V. Dimarogonas (IEEE Trans. Autom. Control., 2025)

Constrained Optimization With Decision-Dependent Distributions. - Zifan Wang 002; Changxin Liu 001; Thomas Parisini; Michael M. Zavlanos; Karl Henrik Johansson (IEEE Trans. Autom. Control., 2025)