| 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 | 23 | 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 | 7 | 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 | 5 | 2023 |
| Distributed Nash equilibrium seeking with stochastic event-triggered mechanism W Huo, KFE Tsang, Y Yan, KH Johansson, L Shi Automatica 162, 111486, 2024 | 2 | 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 …, 2022 | 2 | 2022 |
| 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 | | 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 | | 2023 |
| 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 | | 2023 |
Ling ShiHong Kong University of Science and TechnologyVerified email at ust.hk
