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Changxin Liu
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Journal Articles
- 2024
- [j26]Jing Wang, Shunce Mei, Changxin Liu, Hu Peng, Zhijian Wu:
A decomposition-based multi-objective evolutionary algorithm using infinitesimal method. Appl. Soft Comput. 167: 112272 (2024) - [j25]Changxin Liu, Karl Henrik Johansson, Yang Shi:
Distributed empirical risk minimization with differential privacy. Autom. 162: 111514 (2024) - [j24]Rui Zhang, Yichuan Liu, Delan Zhu, Pute Wu, Ke Xin, Xiaomin Zhang, Nazarov Khudayberdi, Changxin Liu:
Simulating droplet distribution characteristics in sprinkler irrigation using a modified ballistic model under multifactor coupling. Comput. Electron. Agric. 225: 109352 (2024) - [j23]Kesheng Zhang, Quan Xu, Changxin Liu, Tianyou Chai:
Intelligent decision-making system for mineral processing production indices based on digital twin interactive visualization. J. Vis. 27(3): 421-436 (2024) - [j22]Jinyu Shi, Shanshan Yu, Huanan Li, Xiuguo Zhang, Changxin Liu:
Underwater image enhancement based on adaptive color correction and multi-scale fusion. Multim. Tools Appl. 83(5): 12535-12559 (2024) - [j21]Henglai Wei, Changxin Liu, Yang Shi:
A Robust Distributed MPC Framework for Multiagent Consensus With Communication Delays. IEEE Trans. Autom. Control. 69(11): 7418-7432 (2024) - [j20]Ling Yi, Jinliang Ding, Changxin Liu, Tianyou Chai:
Fast Sensitivity-Analysis-Based Online Self-Organizing Broad Learning System. IEEE Trans. Ind. Informatics 20(5): 7585-7597 (2024) - 2023
- [j19]Rui Zhang, Yichuan Liu, Delan Zhu, Pute Wu, Changjuan Zheng, Xiaomin Zhang, Nazarov Khudayberdi, Changxin Liu:
Simulating droplet distribution characteristics for sprinkler irrigation with a modified ballistic model. Comput. Electron. Agric. 215: 108437 (2023) - [j18]Changxin Liu, Nanxi Chen, Guangyi Xing, Runhe Chen, Tong Shao, Baichuan Shan, Yilin Pan, Minyi Xu:
A Novel Thermal Tactile Sensor Based on Micro Thermoelectric Generator for Underwater Flow Direction Perception. Sensors 23(12): 5375 (2023) - [j17]Changxin Liu, Yang Shi, Huiping Li, Wenli Du:
Accelerated Dual Averaging Methods for Decentralized Constrained Optimization. IEEE Trans. Autom. Control. 68(4): 2125-2139 (2023) - [j16]Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi:
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. IEEE Trans. Autom. Control. 68(8): 4650-4665 (2023) - [j15]Ling Yi, Jinliang Ding, Changxin Liu, Tianyou Chai:
High-Dimensional Data Global Sensitivity Analysis Based on Deep Soft Sensor Model. IEEE Trans. Cybern. 53(9): 5741-5754 (2023) - 2022
- [j14]Kunwu Zhang, Changxin Liu, Yang Shi:
Self-triggered adaptive model predictive control of constrained nonlinear systems: A min-max approach. Autom. 142: 110424 (2022) - [j13]Jun Lu, Jinliang Ding, Changxin Liu, Tianyou Chai:
Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3560-3571 (2022) - 2021
- [j12]Daxiong Ji, Jie Ren, Changxin Liu, Yang Shi:
Stabilizing terminal constraint-free nonlinear MPC via sliding mode-based terminal cost. Autom. 134: 109898 (2021) - [j11]Changxin Liu, Huiping Li, Yang Shi:
Resource-Aware Exact Decentralized Optimization Using Event-Triggered Broadcasting. IEEE Trans. Autom. Control. 66(7): 2961-2974 (2021) - 2020
- [j10]Changxin Liu, Huiping Li, Yang Shi:
A unitary distributed subgradient method for multi-agent optimization with different coupling sources. Autom. 114: 108834 (2020) - [j9]Yongbin Zhu, Yajuan Shi, Changxin Liu, Bing Lyu, Zhenbo Wang:
Reinspecting the Climate-Crop Yields Relationship at a Finer Scale and the Climate Damage Evaluation: Evidence from China. Complex. 2020: 9424327:1-9424327:8 (2020) - [j8]Hongyu Cui, Changxin Liu, Boyu Si, Jie Wu, Dajun Sun:
Iterative receiver for the triple differential PSK modulation in the time-varying underwater acoustic communications. IET Commun. 14(16): 2813-2819 (2020) - [j7]Changxin Liu, Huiping Li, Yang Shi, Demin Xu:
Distributed Event-Triggered Model Predictive Control of Coupled Nonlinear Systems. SIAM J. Control. Optim. 58(2): 714-734 (2020) - [j6]Changxin Liu, Huiping Li, Yang Shi, Demin Xu:
Codesign of Event Trigger and Feedback Policy in Robust Model Predictive Control. IEEE Trans. Autom. Control. 65(1): 302-309 (2020) - [j5]Changxin Liu, Huiping Li, Yang Shi, Demin Xu:
Distributed Event-Triggered Gradient Method for Constrained Convex Minimization. IEEE Trans. Autom. Control. 65(2): 778-785 (2020) - 2018
- [j4]Changxin Liu, Huiping Li, Jian Gao, Demin Xu:
Robust self-triggered min-max model predictive control for discrete-time nonlinear systems. Autom. 89: 333-339 (2018) - [j3]Changxin Liu, Jian Gao, Huiping Li, Demin Xu:
Aperiodic Robust Model Predictive Control for Constrained Continuous-Time Nonlinear Systems: An Event-Triggered Approach. IEEE Trans. Cybern. 48(5): 1397-1405 (2018) - 2014
- [j2]Jinliang Ding, Liang Zhao, Changxin Liu, Tianyou Chai:
GA-based principal component selection for production performance estimation in mineral processing. Comput. Electr. Eng. 40(5): 1447-1459 (2014) - [j1]Changxin Liu, Jinliang Ding, Anthony J. Toprac, Tianyou Chai:
Data-based adaptive online prediction model for plant-wide production indices. Knowl. Inf. Syst. 41(2): 401-421 (2014)
Conference and Workshop Papers
- 2024
- [c21]Yuhao Yi, Ronghui You, Hong Liu, Changxin Liu, Yuan Wang, Jiancheng Lv:
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers. AAAI 2024: 16469-16477 - 2023
- [c20]Changxin Liu, Eric Shi:
Event-Triggered Distributed Nonconvex Optimization with Progress-Based Threshold. CDC 2023: 309-314 - [c19]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Delay-Agnostic Asynchronous Distributed Optimization. CDC 2023: 1082-1087 - [c18]Mohammed M. Dawoud, Changxin Liu, Amr Alanwar, Karl Henrik Johansson:
Differentially Private Set-Based Estimation Using Zonotopes. ECC 2023: 1-8 - [c17]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Delay-agnostic Asynchronous Coordinate Update Algorithm. ICML 2023: 37582-37606 - 2022
- [c16]Yulong Gao, Changxin Liu, Karl Henrik Johansson:
Robust Risk-Aware Model Predictive Control of Linear Systems with Bounded Disturbances. CDC 2022: 1148-1155 - [c15]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Horizontal Federated Learning. ICDE 2022: 2440-2453 - 2021
- [c14]Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang:
Towards Fair Federated Learning. KDD 2021: 4100-4101 - [c13]Jianhao Liu, Changxin Liu, Cong Zhao, Huaan Li, Guanghao Qu, Zhuofan Mao, Zhenghui Zhou:
Design of Self-powered Environment Monitoring Sensor Based on TEG and TENG. NEMS 2021: 749-753 - [c12]Siyuan Wang, Peng Xu, Xinyu Wang, Hao Wang, Changxin Liu, Liguo Song, Guangming Xie, Minyi Xu:
Bionic Tactile Sensor based on Triboelectric Nanogenerator for Motion Perception. NEMS 2021: 1853-1857 - 2020
- [c11]Hongyu Cui, Changxin Liu, Xiaoping Hong, Jie Wu, Dajun Sun:
An Improved BICM-ID Receiver for the Time-Varying Underwater Acoustic Communications with DDPSK Modulation. ICSPCC 2020: 1-4 - 2019
- [c10]Ling Yi, Jinliang Ding, Changxin Liu:
NMR principle analysis based object detection for intelligent measurement of crude oil moisture content. ASCC 2019: 456-461 - [c9]Changxin Liu, Huiping Li, Yang Shi, Demin Xu:
Event-triggered Broadcasting for Distributed Smooth Optimization. CDC 2019: 716-721 - [c8]Chun Li, Jinliang Ding, Changxin Liu, Frank L. Lewis:
A Novel On-line VI-ADP for Nonlinear Discrete-time Systems. ICCA 2019: 1314-1319 - [c7]Changxin Liu, Huiping Li, Yang Shi:
Distributed dual subgradient method with double averaging: Application to QoS optimization in wireless networks. ISIE 2019: 1239-1244 - [c6]Kunwu Zhang, Changxin Liu, Yang Shi:
Computationally Efficient Adaptive Model Predictive Control for Constrained Linear Systems with Parametric Uncertainties. ISIE 2019: 2152-2157 - 2017
- [c5]Changxin Liu, Huiping Li:
Event-triggered distributed receding horizon control of dynamically coupled linear systems. IECON 2017: 6279-6284 - 2014
- [c4]Changxin Liu, Jinliang Ding, Tianyou Chai:
Robust prediction for quality of industrial processes. ICIA 2014: 1172-1175 - 2013
- [c3]Yuancan Huang, Jian Li, Qiang Huang, Changxin Liu:
Design and control of anthropomorphic BIT soft arms for TCM remedial massage. IROS 2013: 1960-1965 - 2008
- [c2]Jinliang Ding, Changxin Liu, Ming Wen, Tianyou Chai:
Case-Based Decision Making Model for Supervisory Control of Ore Roasting Process. ISNN (2) 2008: 148-157 - 2006
- [c1]Jinliang Ding, Ping Zhou, Changxin Liu, Tianyou Chai:
Hybrid Intelligent System for Supervisory Control of Mineral Grinding Process. ISDA (1) 2006: 979-984
Informal and Other Publications
- 2024
- [i15]Nicola Bastianello, Changxin Liu, Karl Henrik Johansson:
Enhancing Privacy in Federated Learning through Local Training. CoRR abs/2403.17572 (2024) - [i14]Xiao Tan, Changxin Liu, Karl Henrik Johansson, Dimos V. Dimarogonas:
A continuous-time violation-free multi-agent optimization algorithm and its applications to safe distributed control. CoRR abs/2404.07571 (2024) - [i13]Changxin Liu, Xiao Tan, Xuyang Wu, Dimos V. Dimarogonas, Karl Henrik Johansson:
Achieving violation-free distributed optimization under coupling constraints. CoRR abs/2404.07609 (2024) - [i12]Wei Huo, Changxin Liu, Kemi Ding, Karl Henrik Johansson, Ling Shi:
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy. CoRR abs/2408.04315 (2024) - [i11]Changxin Liu, Nicola Bastianello, Wei Huo, Yang Shi, Karl Henrik Johansson:
A survey on secure decentralized optimization and learning. CoRR abs/2408.08628 (2024) - [i10]Mohammed M. Dawoud, Changxin Liu, Karl Henrik Johansson, Amr Alanwar:
Privacy-Preserving Set-Based Estimation Using Differential Privacy and Zonotopes. CoRR abs/2408.17263 (2024) - [i9]Changxin Liu, Yanghao Li, Yuhao Yi, Karl Henrik Johansson:
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering. CoRR abs/2409.08640 (2024) - 2023
- [i8]Mohammed M. Dawoud, Changxin Liu, Amr Alanwar, Karl Henrik Johansson:
Differentially Private Set-Based Estimation Using Zonotopes. CoRR abs/2305.07407 (2023) - [i7]Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson:
Asynchronous Distributed Optimization with Delay-free Parameters. CoRR abs/2312.06508 (2023) - [i6]Yuhao Yi, Ronghui You, Hong Liu, Changxin Liu, Yuan Wang, Jiancheng Lv:
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers. CoRR abs/2312.12835 (2023) - 2022
- [i5]Henglai Wei, Changxin Liu, Yang Shi:
A Robust Distributed Model Predictive Control Framework for Consensus of Multi-Agent Systems with Input Constraints and Varying Delays. CoRR abs/2209.08785 (2022) - [i4]Zishuo Li, Muhammad Umar B. Niazi, Changxin Liu, Yilin Mo, Karl Henrik Johansson:
Secure State Estimation against Sparse Attacks on a Time-varying Set of Sensors. CoRR abs/2211.05566 (2022) - 2021
- [i3]Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi:
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence. CoRR abs/2106.14075 (2021) - [i2]Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang:
Achieving Model Fairness in Vertical Federated Learning. CoRR abs/2109.08344 (2021) - [i1]Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang:
Improving Fairness for Data Valuation in Federated Learning. CoRR abs/2109.09046 (2021)
Coauthor Index
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last updated on 2024-11-08 21:32 CET by the dblp team
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