贺超，工学博士，硕导，毕业于重庆邮电大学，专业为信息与通信工程，从事现代智能通信技术在车联网、泛在电力物联网、社会治安、智慧农业等领域的基础和应用研究。主持重庆市科技局、重庆市教委和重庆市教育科学规划院等4项，发表学术论文13篇，申请专利授权、软件著作权4项。
申请人主持的科研项目有：
[1] 重庆市教育委员会科学技术研究重点项目《端边协同的车联网低时延高能效任务卸载策略研究》(项目编号：KJZD-K202201203；起讫时间:2022.10.01-2025.09.30，主持)。
[2] 重庆市教育委员会科学技术研究青年项目《面向电力物联网的光无线接入驱动的能量与信息融合策略研究》(项目编号：KJQN202301258；起讫时间:2023.10.01-2026.09.30，主持)。
[3] 重庆市教育科学规划院青年课题《数字化背景下新工科电子信息工程专业能力结构优化研究》(项目编号：K24YY2120036；起讫时间:2024.09-2027.10，主持)。
[4] 重庆市科技局自然科学基金面上项目《面向低空感知的车联网通信计算一体化研究》(项目编号：CSTB2025NSCQ-GPX0246；起讫时间:2025.07-2028.06，主持)。
申请人主要学术成果有：
[1] 贺 超, 王汝言, 谭泽富. 光纤无线融合网络(FiWi)能效改善综述[J]. 电讯技术, 2021, 61 (6):650-658. (中文核心)
[2] He Chao, Wang Ruyan, Wu Dapeng, et al. Energy-Aware Virtual Network Migration for Internet of Things Over Fiber Wireless Broadband Access Network[J]. IEEE Internet of Things, 2022, 9(23):24492-24505. (SCI 1区Top期刊)
[3] He Chao, Wang Ruyan, Wu Dapeng, et al. QoS-aware hybrid cloudlet placement over joint fiber and wireless backhaul access network[J]. Optical Switching and Networking, 2022,45:100678. (SCI3区)
[4] He Chao, Wang Dalin, Tan Zefu, et al. Cross-Modal Discrimination Hashing Retrieval Using Variable Length[J]. Security and Communication Networks, 2022:9638683. (SCI4区)
[5] He Chao, Peng Junwen, Jiang Wenhui, et al. V2G Charging and Discharging Strategies of Integrated Supply-Demand Mechanism and User behavior: A Recurrent Proximal Policy Optimization Approach[J]. World Electric Vehicle Journal, 2024, 15(11):514. (EI)
[6] He Chao, Wang Chaofan, Peng Junwen, et al. SVD-LSTM-based rainfall threshold prediction for rainfall-induced landslides in Chongqing[J]. Geomatics, Natural Hazards and Risk, 2024, 15(1): 2424423. (SCI2区)
[7] 贺 超, 汪超凡, 张思睿, 等. 电力物联网自适应任务卸载策略[J]. 重庆邮电大学学报(自然科学版), 2025, 37(4): 507-515. (中文核心)
[8] He Chao, Jiang Wenhui, Wang Xing, et al. Generative AI-Enhanced Task Offloading Strategy for the IoV: An RSU-RSU Load-Balancing Perspective[J]. IEEE Networking Letters, 2025, 7(3):161-165. (EI)
[9] Wang Xing, He Chao*, Jiang Wenhui, et al. Generative AI-Based Dependency-Aware Task
Offloading and Resource Allocation for UAV-Assisted IoV[J]. IEEE Open Journal of the Communications Society, 2025, 6: 3932-3949. (EI)
[10] He Chao, Peng Junwen, Jiang Wenhui, et al. Coordinated scheduling mechanism of electric vehicle V2G and DR in integrated energy systems via deep reinforcement learning[J]. Sustainable Energy, Grids and Networks, 2026, 45:102086. (SCI2区)
[11] He Chao, Wang Chaofan, Jiang Wenhui, et al. Dual-timeslot optimization and UAV collaboration: A novel task offloading strategy for low-altitude power internet of things[J]. Future Generation Computer Systems, 2026, 181: 108432. (SCI2区)
[12] Wang Xing, He Chao*, Jiang Wenhui, et al. UAV-Assisted Task Offloading and Resource Allocation in Internet of Vehicles: An Integration of Digital Twin and Generative AI[J]. IEEE Transactions on Network Science and Engineering, 2026, 13: 5038-5055. (SCI2区)
[13] He Chao, Jiang Wenhui, Wang Xing, et al. GenAI-5GS Fusion Approach: A New Path for Enhancing Computation Offloading Efficiency of Complex Tasks in Internet of Vehicles[J]. IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2026.3660468. (SCI2区, Early Access)
电子邮件：hechao@sanxiau.edu.cn
