Hongzhe Liu

26 papers Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Novel Pattern Learning Framework With Enhanced Scalability for Continuous Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Jian Qin, Yuanqiu Mo, Hongzhe Liu, Zhi-Hui Zhan, Wenwu Yu
2026 J jnl
An Easy-to-Hard Curriculum Learning Framework for Fast Production Cost Minimization Simulation.
IEEE Trans. Smart Grid
Zishan Guo, Chong Qu, Tao Qian, Qinran Hu, Renjie Hu, Yifei Wang, Hongzhe Liu, Wenwu Yu, Mohannad Alhazmi
2026 J jnl
Multiagent Distributional Reinforcement Learning With Dynamic Hyper Policy Network for Residential Microgrid Load Scheduling.
IEEE Trans. Ind. Informatics
Wanmin Wang, Hongzhe Liu, Wenying Xu, Wenwu Yu
2025 J jnl
Adversarial Scenario Generation Integrated Distributionally Robust Deep Reinforcement Learning for Survival of Critical Loads.
IEEE Trans. Smart Grid
Ran Zhu, Hongzhe Liu, Mingyu Kang, Wenwu Yu, Jin Zhao
2025 J jnl
Cooperative Resource Allocation for NOMA-MEC Multi-Cell Network.
IEEE Trans. Veh. Technol.
Yujin Cai, Zaichen Zhang, Yongming Huang, Wenwu Yu, Xiaokai Nie, Hongzhe Liu
2025 J jnl
Distributed Algorithm Over Time-Varying Unbalanced Graphs for Optimization Problem Subject to Multiple Local Constraints.
IEEE Trans. Control. Netw. Syst.
Hongzhe Liu, Wenwu Yu, Guanghui Wen, Wei Xing Zheng
2025 — conf
Distributed Nash Equilibrium Seeking for Multi-Cluster Aggregative Games over Time-Varying Unbalanced Graphs
CDC
Tian Lu, Jingzhao Zhao, Hongzhe Liu, Wenying Xu, Wenwu Yu
2025 J jnl
Exploring a Favorable Tradeoff for Finding Every Efficient Path in Large-Scale Networks.
IEEE Trans. Cybern.
Jian Qin, Wenwu Yu, Yuanqiu Mo, Hongzhe Liu, Xia Zhu, Wenjia Wei, Zhen Yao
2025 J jnl
Rare Event Probability Estimation in Probabilistic Integrated Heat and Power Energy Flow: Sensitivity, Quantification, and Mitigation.
IEEE Trans. Ind. Informatics
Yibo Li, Yijun Xu, Wei Gu, Shixing Ding, Mert Korkali, Lamine Mili, Zhixiong Hu, Shuai Lu, Hongzhe Liu, Wenwu Yu
2024 J jnl
A distributed decomposition algorithm for solving large-scale mixed integer programming problem.
Sci. China Inf. Sci.
Fangzheng Tian, Hongzhe Liu, Wenwu Yu
2024 J jnl
Compressed Gradient Tracking Algorithm for Distributed Aggregative Optimization.
IEEE Trans. Autom. Control.
Liyuan Chen, Guanghui Wen, Hongzhe Liu, Wenwu Yu, Jinde Cao
2024 J jnl
Distributed Discrete-Time Convex Optimization With Closed Convex Set Constraints: Linearly Convergent Algorithm Design.
IEEE Trans. Cybern.
Meng Luan, Guanghui Wen, Hongzhe Liu, Tingwen Huang, Guanrong Chen, Wenwu Yu
2024 J jnl
Distributed Weakly Convex Optimization Under Random Time-Delay Interference.
IEEE Trans. Netw. Sci. Eng.
Mengli Wei, Wenwu Yu, Hongzhe Liu, Qian Xu
2024 J jnl
Distributed constrained optimization algorithms with linear convergence rate over time-varying unbalanced graphs.
Autom.
Hongzhe Liu, Wenwu Yu, Wei Xing Zheng, Angelia Nedic, Yanan Zhu
2024 J jnl
Resilience-Oriented Operation of Integrated Electricity-Natural Gas Systems Using Hydrogen Enriched Compressed Natural Gas.
IEEE Syst. J.
Ran Zhu, Hongzhe Liu, Wenwu Yu, Wei Gu, Li Sun
2024 J jnl
Robust Dynamic Economic Dispatch in Smart Grids Using an Intelligent Learning Technology.
IEEE Trans. Netw. Sci. Eng.
Jian Qin, Hongzhe Liu, Haofei Meng, Wei Gu, Qian Xu, Wenwu Yu
2024 J jnl
Systems science in the new era: intelligent systems and big data.
Sci. China Inf. Sci.
Wenwu Yu, Duxin Chen, Hongzhe Liu, He Wang, Jinde Cao, Zengru Di, Xiaojun Duan, Bin Jia, Xiaodong Ding, Yiguang Hong
2023 J jnl
Cooperative Distributed Resource Allocation in Heterogeneous Networks With D2D Communication.
IEEE Trans. Veh. Technol.
Yujin Cai, Shi Jin, Wenwu Yu, Xiaokai Nie, Le Liang, Hongzhe Liu
2023 J jnl
Distributed Neural Learning Algorithms for Multiagent Reinforcement Learning.
IEEE Internet Things J.
Pengcheng Dai, Hongzhe Liu, Wenwu Yu, He Wang
2023 J jnl
Online Energy Consumption Optimization in WPCNs With Time-Varying Energy Storage Efficiency.
IEEE Trans. Commun.
Guang-Ju Li, Shi Jin, Wenwu Yu, Le Liang, Xiaokai Nie, Hongzhe Liu
2022 J jnl
Continuous-Time Algorithm Based on Finite-Time Consensus for Distributed Constrained Convex Optimization.
IEEE Trans. Autom. Control.
Hongzhe Liu, Wei Xing Zheng, Wenwu Yu
2022 J jnl
Discrete-Time Algorithms for Distributed Constrained Convex Optimization With Linear Convergence Rates.
IEEE Trans. Cybern.
Hongzhe Liu, Wenwu Yu, Guanrong Chen
2021 J jnl
Discrete-Time Algorithm for Distributed Unconstrained Optimization Problem With Finite-Time Computations.
IEEE Trans. Circuits Syst. II Express Briefs
Hongzhe Liu, Wenwu Yu
2021 J jnl
Distributed Discrete-Time Algorithms for Convex Optimization With General Local Constraints on Weight-Unbalanced Digraph.
IEEE Trans. Control. Netw. Syst.
Hongzhe Liu, Wei-Xing Zheng, Wenwu Yu
2021 J jnl
Distributed discrete-time convex optimization with nonidentical local constraints over time-varying unbalanced directed graphs.
Autom.
Wenwu Yu, Hongzhe Liu, Wei Xing Zheng, Yanan Zhu
2020 — conf
Distributed Continuous-Time Algorithm Resorting to Finite-Time Consensus Protocol for Convex Optimization Problem with Inequality Constraint and Closed Convex Set Constraint.
ICCA
Hongzhe Liu, Wenwu Yu