Changxin Liu - RankMe

46 papers A* 3C 1Journal 36Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Achieving violation-free distributed optimization under coupling constraints. Autom. Changxin Liu, Xiao Tan, Xuyang Wu, Dimos V. Dimarogonas, Karl Henrik Johansson
2026	J	`jnl`	Asynchronous Distributed Optimization With Delay-free Parameters. IEEE Trans. Autom. Control. Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
2026	J	`jnl`	Federated Cubic Regularized Newton Learning with sparsification-amplified differential privacy. Autom. Wei Huo, Changxin Liu, Kemi Ding, Karl Henrik Johansson, Ling Shi
2025	J	`jnl`	A Continuous-Time Violation-Free Multiagent Optimization Algorithm and Its Applications to Safe Distributed Control. IEEE Trans. Autom. Control. Xiao Tan, Changxin Liu, Karl Henrik Johansson, Dimos V. Dimarogonas
2025	J	`jnl`	Constrained Optimization With Decision-Dependent Distributions. IEEE Trans. Autom. Control. Zifan Wang, Changxin Liu, Thomas Parisini, Michael M. Zavlanos, Karl Henrik Johansson
2025	J	`jnl`	Decentralized Optimization with Amplified Privacy via Efficient Communication. CoRR Wei Huo, Changxin Liu, Kemi Ding, Karl Henrik Johansson, Ling Shi
2025	J	`jnl`	Distributed model predictive control without terminal cost under inexact distributed optimization. CoRR Xiaoyu Liu, Dimos V. Dimarogonas, Changxin Liu, Azita Dabiri, Bart De Schutter
2025	J	`jnl`	Privacy-Preserving Set-Based Estimation Using Differential Privacy and Zonotopes. IEEE Internet Things J. Mohammed M. Dawoud, Changxin Liu, Karl Henrik Johansson, Amr Al-Anwar
2025	J	`jnl`	Private Distributed Resource Allocation Without Constraint Violations. IEEE Trans. Control. Netw. Syst. Changxin Liu, Rui Huang, Eric Shi, Wenli Du
2024	J	`jnl`	A Robust Distributed MPC Framework for Multiagent Consensus With Communication Delays. IEEE Trans. Autom. Control. Henglai Wei, Changxin Liu, Yang Shi
2024	J	`jnl`	A continuous-time violation-free multi-agent optimization algorithm and its applications to safe distributed control. CoRR Xiao Tan, Changxin Liu, Karl Henrik Johansson, Dimos V. Dimarogonas
2024	J	`jnl`	A survey on secure decentralized optimization and learning. CoRR Changxin Liu, Nicola Bastianello, Wei Huo, Yang Shi, Karl Henrik Johansson
2024	J	`jnl`	Achieving violation-free distributed optimization under coupling constraints. CoRR Changxin Liu, Xiao Tan, Xuyang Wu, Dimos V. Dimarogonas, Karl Henrik Johansson
2024	J	`jnl`	Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering. CoRR Changxin Liu, Yanghao Li, Yuhao Yi, Karl Henrik Johansson
2024	J	`jnl`	Distributed empirical risk minimization with differential privacy. Autom. Changxin Liu, Karl Henrik Johansson, Yang Shi
2024	J	`jnl`	Enhancing Privacy in Federated Learning through Local Training. CoRR Nicola Bastianello, Changxin Liu, Karl Henrik Johansson
2024	J	`jnl`	Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy. CoRR Wei Huo, Changxin Liu, Kemi Ding, Karl Henrik Johansson, Ling Shi
2024	J	`jnl`	Privacy-Preserving Set-Based Estimation Using Differential Privacy and Zonotopes. CoRR Mohammed M. Dawoud, Changxin Liu, Karl Henrik Johansson, Amr Alanwar
2023	J	`jnl`	Accelerated Dual Averaging Methods for Decentralized Constrained Optimization. IEEE Trans. Autom. Control. Changxin Liu, Yang Shi, Huiping Li, Wenli Du
2023	J	`jnl`	Asynchronous Distributed Optimization with Delay-free Parameters. CoRR Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
2023	J	`jnl`	Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. IEEE Trans. Autom. Control. Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi
2023	—	`conf`	Delay-Agnostic Asynchronous Distributed Optimization. CDC Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
2023	A*	`conf`	Delay-agnostic Asynchronous Coordinate Update Algorithm. ICML Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson
2023	—	`conf`	Differentially Private Set-Based Estimation Using Zonotopes. ECC Mohammed M. Dawoud, Changxin Liu, Amr Alanwar, Karl Henrik Johansson
2023	J	`jnl`	Differentially Private Set-Based Estimation Using Zonotopes. CoRR Mohammed M. Dawoud, Changxin Liu, Amr Alanwar, Karl Henrik Johansson
2022	J	`jnl`	A Robust Distributed Model Predictive Control Framework for Consensus of Multi-Agent Systems with Input Constraints and Varying Delays. CoRR Henglai Wei, Changxin Liu, Yang Shi
2022	A*	`conf`	Improving Fairness for Data Valuation in Horizontal Federated Learning. ICDE Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2022	—	`conf`	Robust Risk-Aware Model Predictive Control of Linear Systems with Bounded Disturbances. CDC Yulong Gao, Changxin Liu, Karl Henrik Johansson
2022	J	`jnl`	Secure State Estimation against Sparse Attacks on a Time-varying Set of Sensors. CoRR Zishuo Li, Muhammad Umar B. Niazi, Changxin Liu, Yilin Mo, Karl Henrik Johansson
2022	J	`jnl`	Self-triggered adaptive model predictive control of constrained nonlinear systems: A min-max approach. Autom. Kunwu Zhang, Changxin Liu, Yang Shi
2021	J	`jnl`	Achieving Model Fairness in Vertical Federated Learning. CoRR Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang
2021	J	`jnl`	Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence. CoRR Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi
2021	J	`jnl`	Improving Fairness for Data Valuation in Federated Learning. CoRR Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2021	J	`jnl`	Resource-Aware Exact Decentralized Optimization Using Event-Triggered Broadcasting. IEEE Trans. Autom. Control. Changxin Liu, Huiping Li, Yang Shi
2021	J	`jnl`	Stabilizing terminal constraint-free nonlinear MPC via sliding mode-based terminal cost. Autom. Daxiong Ji, Jie Ren, Changxin Liu, Yang Shi
2021	A*	`conf`	Towards Fair Federated Learning. KDD Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang
2020	J	`jnl`	A unitary distributed subgradient method for multi-agent optimization with different coupling sources. Autom. Changxin Liu, Huiping Li, Yang Shi
2020	J	`jnl`	Codesign of Event Trigger and Feedback Policy in Robust Model Predictive Control. IEEE Trans. Autom. Control. Changxin Liu, Huiping Li, Yang Shi, Demin Xu
2020	J	`jnl`	Distributed Event-Triggered Gradient Method for Constrained Convex Minimization. IEEE Trans. Autom. Control. Changxin Liu, Huiping Li, Yang Shi, Demin Xu
2020	J	`jnl`	Distributed Event-Triggered Model Predictive Control of Coupled Nonlinear Systems. SIAM J. Control. Optim. Changxin Liu, Huiping Li, Yang Shi, Demin Xu
2019	—	`conf`	Computationally Efficient Adaptive Model Predictive Control for Constrained Linear Systems with Parametric Uncertainties. ISIE Kunwu Zhang, Changxin Liu, Yang Shi
2019	—	`conf`	Distributed dual subgradient method with double averaging: Application to QoS optimization in wireless networks. ISIE Changxin Liu, Huiping Li, Yang Shi
2019	—	`conf`	Event-triggered Broadcasting for Distributed Smooth Optimization. CDC Changxin Liu, Huiping Li, Yang Shi, Demin Xu
2018	J	`jnl`	Aperiodic Robust Model Predictive Control for Constrained Continuous-Time Nonlinear Systems: An Event-Triggered Approach. IEEE Trans. Cybern. Changxin Liu, Jian Gao, Huiping Li, Demin Xu
2018	J	`jnl`	Robust self-triggered min-max model predictive control for discrete-time nonlinear systems. Autom. Changxin Liu, Huiping Li, Jian Gao, Demin Xu
2017	C	`conf`	Event-triggered distributed receding horizon control of dynamically coupled linear systems. IECON Changxin Liu, Huiping Li