Wei Huo
Cited by
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Branch and bound in mixed integer linear programming problems: A survey of techniques and trends
L Huang, X Chen, W Huo, J Wang, F Zhang, B Bai, L Shi
arXiv preprint arXiv:2111.06257, 2021
Dynamical network size estimation from local observations
X Tang, W Huo, Y Yuan, X Li, L Shi, H Ding, J Kurths
New Journal of Physics 22 (9), 093031, 2020
MILP Acceleration: A Survey from Perspectives of Simplex Initialization and Learning-Based Branch and Bound
MY Huang, LY Huang, YX Zhong, HW Yang, XM Chen, W Huo, JZ Wang, ...
Journal of the operations research society of china, 1-55, 2023
Distributed Nash equilibrium seeking with stochastic event-triggered mechanism
W Huo, KFE Tsang, Y Yan, KH Johansson, L Shi
Automatica 162, 111486, 2024
Improving primal heuristics for mixed integer programming problems based on problem reduction: A learning-based approach
L Huang, X Chen, W Huo, J Wang, F Zhang, B Bai, L Shi
2022 17th International Conference on Control, Automation, Robotics and íK, 2022
An Efficient Distributed Nash Equilibrium Seeking with Compressed and Event-triggered Communication
X Chen, W Huo, Y Wu, S Dey, L Shi
arXiv preprint arXiv:2311.13994, 2023
Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence
X Chen, W Huo, K Ding, S Dey, L Shi
arXiv preprint arXiv:2405.04757, 2024
Compression-based Privacy Preservation for Distributed Nash Equilibrium Seeking in Aggregative Games
W Huo, X Chen, K Ding, S Dey, L Shi
arXiv preprint arXiv:2405.03106, 2024
Differentially Private Dual Gradient Tracking for Distributed Resource Allocation
W Huo, X Chen, L Huang, KH Johansson, L Shi
arXiv preprint arXiv:2403.18275, 2024
Neural Network-based Distributed Generalized Nash Equilibrium Seeking for Uncertain Nonlinear Multi-agent Systems
W Huo, L Huang, S Dey, L Shi
IEEE Transactions on Control of Network Systems, 2023
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