A Modified DAG-SVM Algorithm for the Fault Diagnosis in Satellite Communication System. - Xiubo Sun; Hongbo Zhao 001; Changbiao Lei; Haoqiang Liu; Guangxuan Zhu (WOCC, 2019)

A Policy Gradient Based Offloading Scheme with Dependency Guarantees for Vehicular Networks. - Haoqiang Liu; Hongbo Zhao 001; Liwei Geng; Wenquan Feng (GLOBECOM (Workshops), 2020)

ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost. - Haoqiang Liu; Qiang-Sheng Hua; Hai Jin 001; Long Zheng 003 (IEEE Access, 2020)

Deep Reinforcement Learning-based Computation Offloading in Vehicular Networks. - Liwei Geng; Hongbo Zhao 001; Haoqiang Liu; Yujie Wang; Wenquan Feng; Lu Bai 008 (CSCloud/EdgeCom, 2021)

A Distributed Dependency-Aware Offloading Scheme for Vehicular Edge Computing Based on Policy Gradient. - Haoqiang Liu; Hongbo Zhao 001; Liwei Geng; Yujie Wang; Wenquan Feng (CSCloud/EdgeCom, 2021)

A Distributed Vehicle-assisted Computation Offloading Scheme based on DRL in Vehicular Networks. - Jiayue Wang; Hongbo Zhao 001; Haoqiang Liu; Liwei Geng; Zebin Sun (CCGRID, 2022)

LSTM-GAN-AE: A Promising Approach for Fault Diagnosis in Machine Health Monitoring. - Haoqiang Liu; Hongbo Zhao 001; Jiayue Wang; Shuai Yuan 010; Wenquan Feng (IEEE Trans. Instrum. Meas., 2022)

Demo: Scalable Digital Twin System for Mobile Networks with Generative AI. - Jiahui Gong; Qiaohong Yu; Tong Li 013; Haoqiang Liu; Jun Zhang 087; Hangyu Fan; Depeng Jin; Yong Li 008 (MobiSys, 2023)

NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning. - Haoqiang Liu; Zefang Zong; Yong Li 008; Depeng Jin (Appl. Soft Comput., 2023)

Millimeter-Wave Radar for Short-Term Heart Rate Measurement Using Intelligent Singular Value Decomposition Noise Reduction Algorithm. - Wenjie Lv; Chang Liu 103; Haoqiang Liu; Shan Zhong; Hao Yang 016; Shaohan Feng (IEEE Trans. Instrum. Meas., 2024)

Towards Efficient Task Offloading With Dependency Guarantees in Vehicular Edge Networks Through Distributed Deep Reinforcement Learning. - Haoqiang Liu; Wenzhen Huang; Dong In Kim; Sumei Sun; Yonghong Zeng; Shaohan Feng (IEEE Trans. Veh. Technol., 2024)

Coverage Optimization for Large-Scale Mobile Networks With Digital Twin and Multi-Agent Reinforcement Learning. - Haoqiang Liu; Tong Li 013; Fenyu Jiang; Weikang Su; Zhaocheng Wang 001 (IEEE Trans. Wirel. Commun., 2024)

Voltage Regulation Service Pricing in Cyber-Physical Distribution Networks With Multi-Dimensional Meteorological Uncertainties. - Zhaobin Wei; Zhenyu Huang 006; Zhiyuan Tang; Huiming Chen; Xianwang Zuo; Haotang Li; Haoqiang Liu; Jichun Liu; Alberto Borghetti (IEEE Trans. Netw. Sci. Eng., 2025)

Digital Twin Enhanced Multi-Agent Reinforcement Learning for Large-Scale Mobile Network Coverage Optimization. - Haoqiang Liu; Weikang Su; Tong Li 013; Wenzhen Huang; Yong Li 008 (ACM Trans. Knowl. Discov. Data, 2025)

Efficient Multi-User Resource Allocation for Urban Vehicular Edge Computing: A Hybrid Architecture Matching Approach. - Hongyang Xie; Haoqiang Liu; Huiming Chen; Shaohan Feng; Zhaobin Wei; Yonghong Zeng (IEEE Trans. Veh. Technol., 2025)

Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications. - Tong Li 013; Qingyue Long; Haoye Chai; Shiyuan Zhang; Fenyu Jiang; Haoqiang Liu; Wenzhen Huang; Depeng Jin; Yong Li 008 (ACM Comput. Surv., 2025)