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ORCIDWei Huo 0002
Person information
- affiliation: Hong Kong University of Science and Technology, Hong Kong, SAR, China
Other persons with the same name
- Wei Huo — disambiguation page
- Wei Huo 0001
![[0000-0002-6562-6018]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-6562-6018")
— Inner Mongolia Normal University, Hohhot, Inner Mongolia, China - Wei Huo 0003 — Beihang University, Beijing, China
- Wei Huo 0004 — Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, China
- Wei Huo 0005 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China
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2020 – today
- 2026
[j8]Wei Huo, Changxin Liu, Kemi Ding, Karl Henrik Johansson, Ling Shi:
Federated Cubic Regularized Newton Learning with sparsification-amplified differential privacy. Autom. 183: 112531 (2026)- 2025
- [j7]Wei Huo, Xiaomeng Chen, Lingying Huang, Karl Henrik Johansson, Ling Shi:
Differentially private dual gradient tracking for distributed resource allocation. Autom. 182: 112521 (2025) - [j6]Jiuzhou Zhang, Wei Huo, Xiaomeng Chen, Daniel E. Quevedo, Ling Shi:
Remote State Estimation With Discounted Multi-Armed Bandits for Non-Stationary Channel Selection. IEEE Control. Syst. Lett. 9: 787-792 (2025) - [j5]Xiaomeng Chen, Wei Huo, Yuchi Wu, Subhrakanti Dey, Ling Shi:
An Efficient Distributed Nash Equilibrium Seeking With Compressed and Event-Triggered Communication. IEEE Trans. Autom. Control. 70(3): 2035-2042 (2025) - [i10]Wei Huo, Changxin Liu, Kemi Ding, Karl Henrik Johansson, Ling Shi:
Decentralized Optimization with Amplified Privacy via Efficient Communication. CoRR abs/2506.07102 (2025) - 2024
- [j4]Wei Huo, Kam Fai Elvis Tsang, Yamin Yan, Karl Henrik Johansson, Ling Shi:
Distributed Nash equilibrium seeking with stochastic event-triggered mechanism. Autom. 162: 111486 (2024) - [j3]Wei Huo, Xiaomeng Chen, Kemi Ding, Subhrakanti Dey, Ling Shi:
Compression-Based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games. IEEE Control. Syst. Lett. 8: 886-891 (2024) - [j2]Xiaomeng Chen, Wei Huo, Kemi Ding, Subhrakanti Dey, Ling Shi:
Communication-Efficient and Differentially-Private Distributed Nash Equilibrium Seeking With Linear Convergence. IEEE Control. Syst. Lett. 8: 1787-1792 (2024) - [j1]Wei Huo, Lingying Huang, Subhrakanti Dey, Ling Shi:
Neural-Network-Based Distributed Generalized Nash Equilibrium Seeking for Uncertain Nonlinear Multiagent Systems. IEEE Trans. Control. Netw. Syst. 11(3): 1323-1334 (2024) - [i9]Wei Huo, Xiaomeng Chen, Lingying Huang, Karl Henrik Johansson, Ling Shi:
Differentially Private Dual Gradient Tracking for Distributed Resource Allocation. CoRR abs/2403.18275 (2024) - [i8]Wei Huo, Xiaomeng Chen, Kemi Ding, Subhrakanti Dey, Ling Shi:
Compression-based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games. CoRR abs/2405.03106 (2024) - [i7]Xiaomeng Chen, Wei Huo, Kemi Ding, Subhrakanti Dey, Ling Shi:
Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence. CoRR abs/2405.04757 (2024) - [i6]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) - [i5]Changxin Liu, Nicola Bastianello, Wei Huo, Yang Shi, Karl Henrik Johansson:
A survey on secure decentralized optimization and learning. CoRR abs/2408.08628 (2024) - 2023
- [i4]Wei Huo, Kam Fai Elvis Tsang, Yamin Yan, Karl Henrik Johansson, Ling Shi:
Distributed Nash Equilibrium Seeking with Stochastic Event-Triggered Mechanism. CoRR abs/2304.10338 (2023) - [i3]Xiaomeng Chen, Wei Huo, Yuchi Wu, Subhrakanti Dey, Ling Shi:
An Efficient Distributed Nash Equilibrium Seeking with Compressed and Event-triggered Communication. CoRR abs/2311.13994 (2023) - 2022
- [c1]Lingying Huang, Xiaomeng Chen, Wei Huo, Jiazheng Wang, Fan Zhang, Bo Bai, Ling Shi:
Improving Primal Heuristics for Mixed Integer Programming Problems based on Problem Reduction: A Learning-based Approach. ICARCV 2022: 181-186 - [i2]Lingying Huang, Xiaomeng Chen, Wei Huo, Jiazheng Wang, Fan Zhang, Bo Bai, Ling Shi:
Improving Primal Heuristics for Mixed Integer Programming Problems based on Problem Reduction: A Learning-based Approach. CoRR abs/2209.13217 (2022) - 2021
- [i1]Lingying Huang, Xiaomeng Chen, Wei Huo, Jiazheng Wang, Fan Zhang, Bo Bai, Ling Shi:
Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends. CoRR abs/2111.06257 (2021)
Coauthor Index
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