李秀华

职称：教授，博导       职务：智能软件与服务计算研究所，所长

研究方向：边缘计算与云计算，边缘智能，大模型与智能体，智能网联汽车等

Email: lixiuhua1988@gmail.com(Primary),lixiuhua@cqu.edu.cn

地址：重庆市沙坪坝区大学城南路55号信息技术楼B714室

 

李秀华是重庆大学大数据与软件学院教授、博士生导师, 智能软件与服务计算研究所所长，重庆英才·青年拔尖人才，重庆市学术技术带头人后备人选，入选美国斯坦福大学/Elsevier全球前2%顶尖科学家榜单，CCF YOCSEF重庆AC委员与学术秘书，CCF分布式计算与系统专委会委员，重庆计算机学会理事，国家/重庆市自然基金评审专家,IEEE/ACM/CAAI会员，CCF高级会员。于加拿大不列颠哥伦比亚大学（University of British Columbia, UBC）获电气与计算机工程系博士学位，于哈尔滨工业大学（哈工大）获得本科与硕士学位。目前总共发表100多篇论著,其中，IEEE/ACM国际期刊与会议论文70余篇。国际学会发表演讲10余次，同时是50余个国际会议/期刊的审稿人，也是20余个国际会议的TPC成员。

本人团队正在招青年教师、博士后、博士生（含本科直博生）、硕士生和本科实习生，鼓励出国交流与深造，并创造相关条件与平台；建有良好的算力平台，比如大模型训练与推理服务器1台（含8张英伟达A800），轻量级AI训练服务器1台。欢迎感兴趣的博士或学生发邮件或者来办公室（虎溪校区信息技术大楼B714室）咨询。

Google Scholar Citation:  https://scholar.google.com/citations?user=NNZ2sdgAAAAJ&hl=en

DBLP: https://dblp.uni-trier.de/pers/hd/l/Li:Xiuhua

 

主要研究方向

边缘计算与云计算，边缘智能，大模型与智能体，智能网联汽车等

教育经历

2014/01-2019/02，加拿大不列颠哥伦比亚大学 (UBC)，电气与计算机工程, 博士

2011/09-2013/07，哈尔滨工业大学（哈工大），信息与通信工程，硕士

2007/09-2011/07，哈尔滨工业大学（哈工大），通信工程，学士

工作经历

2019/10-至今，重庆大学，智能软件与服务计算研究所，所长

2025/03-至今，重庆大学，大数据与软件学院，教授，博导

2019/02-2025/02，重庆大学，百人计划，大数据与软件学院，研究员，博导

2019/02-2019/06, Internship，Dept. ECE, Houston University, Houston, TX, USA

获奖/荣誉

- 2024 Best Paper Runner-up（最佳论文奖亚军），IEEE TRANSACTIONS ON SERVICES COMPUTING（CCF-A期刊），2025

- 重庆市学术技术带头人后备人选，2024

- 中国安全生产协会“安全科学技术奖”科技进步奖，一等奖，2024

- 美国斯坦福大学/Elsevier全球前2%顶尖科学家榜单，2022-2024

- 中国商业联合会全国服务业科技创新奖，一等奖，2023

- ACM中国新星奖（重庆），2023

- 小米青年学者，2023

- 重庆大学“优秀共产党员”，2023

- 中国发明协会发明创业奖成果奖，二等奖，2022

- 重庆英才计划青年拔尖人才，2021

课程教学

- 本科生课程：《统计分析》《离散数学》

- 研究生课程：《边缘计算与网络优化》中英双语

实验室学生

- 博士生：程路熙（专博，2019/09--）,宋涛（专博，2020/09--）,郝金隆（专博，2022/09--），徐国增（学博，硕博连读，2023/09--），陈凌霄（学博，2023/09--），郭键锰（专博，2024/09--）,刘斌（专博，2024/09--），侯鑫（专博，2024/09--），朱彦吉（学博，直博，2025/09--），任伟（高研院专博，2025/09--），魏亚星（高研院专博，2025/09--）

- 硕士生：曾胡爽（2023/09--），黄河澎（2023/09--），程露露（2023/09--）,陈思欣（卓越，2023/09--）,范馨阳（卓越，2023/09--），刘根琦（卓越，联合，2023/09--），赵宗凯（2024/09--），张雨甜（2024/09--），陈武（2024/09--），樊枭睿（2025/09--），范钰轩（2025/09--），赖力笙（2025/09--），魏川程（嘉陵江实验室，2025/09--），龚平（高研院，2025/09--），王忠胤（高研院，2025/09--），王雪涵（高研院，2025/09--）

-本科生：何文轩（2022级）,周金龙（2022级）

- 毕业生

孙川（学博），2019/09--2023/12，新加坡南洋理工大学（Nanyang Technological University），博后

李辉（学博，硕博连读），2019/09--2025/07，重庆警察学院

程诗桐（本科），2017/09-2021/07，美国达特茅斯学院（Dartmouth College,美国八大藤校之一），全奖读硕

2019级硕士：徐峥辉（华为，成都），明钊（芬兰奥卢大学，全奖读博），乐雯娇（英特尔，上海），袁传奇（阿里巴巴，北京）

2020级硕士：吴凡凡（埃科光电，合肥），韩苏宁（用友网络，北京）

2021级硕士：邓宇轩（百度，北京），李君楠（选调公务员，重庆）

2022级硕士：唐雅馨（腾讯，深圳），张祯（引望，北京），王刚（重庆地震局，重庆），陈远（浪潮，西安），唐健（泸州老窖，泸州）

科研项目（节选）：

[24] 重庆市技术创新与应用发展专项重大项目：电力系统智能运维服务平台关键技术研发及应用，2024/11-2027/10，课题负责人

[23]中电九天企业横向合作项目：泛半导体行业工业设备知识问答大模型及应用，2024/07-2025-01，项目负责人

[22]中央高校基本科研业务费国防专项：移动集群高可靠数据管理关键技术研究，2024/05-2025/04，项目负责人

[21] 四川省区域创新合作项目：边云协同下大规模AI任务的智能计算方法研究，2024/01--2025/12，课题负责人

[20] 重庆市技术创新与应用发展专项重大项目：支持海量异构设备接入的自动驾驶数据闭环核心工具链开发，2023/12/10-2026/12/09，课题负责人

[19] 重庆邮电大学大数据智能计算重点实验室开放基金项目：面向智能网联汽车的边云协同智能计算机制，2023/08-2025/08，项目负责人

[18] 国家自然基金项目（面上）：基于联邦强化学习的云边端协同计算机制研究，2024/01-2027/12，项目负责人

[17] 重庆市留学人员回国创新支持计划项目（优秀资助）：智能汽车AI模型一体化训练与集成关键技术研究，2023/09-2025/08，结题，项目负责人

[16] 成都市区域科技创新合作项目：面向大规模AI任务的边云协同智能计算机制研究，2023/01--2024/12，课题负责人

[15] 四川省区域创新合作项目：基于人工智能的物联网自进化防御机制研究，2023/01--2024/12，结题，课题负责人

[14] 重庆英才计划包干制项目：边云协同智能计算机制研究，2021/11--2024/10，结题，项目负责人

[13] 重庆市技术创新及应用发展专项重点项目（定向委托）：智能汽车AI模型一体化训练与集成关键技术研究，2021/11--2024/10，课题负责人

[12] 重庆市工业和信息化领域“揭榜挂帅”项目（工业软件方向第一批）：汽车整车软件平台开发，2021/10--2023/12，结题，课题负责人

[11] 重庆工业大数据创新中心联合科研项目：工业大数据边缘计算关键技术研究，2020/07--2020/11，结题，项目负责人

[10] 中央高校基本科研业务费“基础研究与前沿交叉学科方向”重点项目：移动边缘缓存机制与优化研究，2020/01--2021/12，结题，项目负责人

[9] 重庆市留学人员回国创新支持计划项目（优秀资助）：移动边缘计算网络中终端与基站协作缓存机制与优化研究，2019/11-2021/10，结题，项目负责人

[8] 国家自然基金项目（青年）：移动边缘计算网络中终端与基站协作缓存机制与优化研究，2020/01-2022/12，结题，项目负责人

[7] 重庆市自然基金项目（面上）：异构移动网络中边缘协作缓存的优化研究，2019/07-2022/07，结题，项目负责人

[6] 国家重点研发计划“物联网与智慧城市关键技术及示范”重点专项：物联网智能感知终端平台系统与应用验证，2019/05-2022/05，参与

[5] 加拿大自然科学与工程研究理事会（NSERC）Discovery项目：SIRAN-基于深度学习的软件自定义的智能5G移动网络服务项目, 2018/10-2022/10, 600,000$，参与（协助申请）

[4] 加拿大自然科学与工程研究理事会（NSERC）Discovery项目：SIRAS-基于软件自定义的智能5G移动网络构架项目, 2014/03-2018/03, 525,000$,结题,参与（协助申请）

[3] 加拿大华为与UBC合作项目：智能5G移动网络构架技术项目，2014/01-2017/01，500,000$,结题，参与

[2] 哈工大与中电集团合作项目：SC-FDE系统中自适应传输策略研究，2010/05-2013/05, 结题，参与

[1] 国家自然基金项目（面上）：认知无线电中频谱分配算法研究，2010/01-2012/12, 结题，参与

 

教改项目（节选）：

[4] 重庆市研究生教育教学改革研究项目（一般项目）：产教融合背景下软件工程学术硕士科研能力培养模式的探索与实践，2023/07-2025/06，1.5万元，项目负责人

[3] 教育部产学合作协同育人项目：《人工智能导论》协同育人课程建设，2021/01-2021/12，5万元，项目负责人

[2] 教育部产学合作协同育人项目：新工科背景下基于VR的人工智能关键技术及应用研究，2021/01-2021/12，10万元，参与

[1] 教育部产学合作协同育人项目：《大数据工程实训》协同育人课程建设，2021/01-2021/12，5万元，参与

学术论著与专利（*通讯作者，#共同第一作者）

- 专著/章节

[5] Xiuhua Li, Victor C.M. Leung, and Xiaofei Wang (Eds.), 6GN for Wireless Networks, Springer, 2024.

[4] 李秀华，孙川，文俊浩，《云边端协同计算：基于强化学习》，机械工业出版社，2024.

[3] Kai Peng, Yiwen Zhang, Xiaofei Wang, Xiaolong Xu,Xiuhua Li*, and Victor C.M. Leung, ``Computation Offloading in Mobile Edge Computing'', Chapter in Encyclopedia of Wireless Networks, Springer, 2019.

[2] Xiuhua Li, Xiaofei Wang and Victor C.M. Leung, ``Mobile Edge Caching in HetNets'',Chapter in Encyclopedia of Wireless Networks, Springer, March 2018.

[1] Xiuhua Li*, and Victor C.M. Leung, ``Optimizing Power Allocation in Wireless Networks: Are the Implicit Constraints Really Redundant?'', Ch. 12 in Ad Hoc Networks, Y. Zhou and T. Kunz, ed., LNICST, vol. 184, pp. 143-154, December 2016.

 

- 期刊论文（节选）

[63] Guozeng Xu, Xiuhua Li*, Hui Li, Penghua Li, Xiaofei Wang, and Victor C. M. Leung,“Energy-Efficient Adaptive Batching for Federated Learning via Gradient Noise Scale Measurement in Mobile Edge Computing Networks”, IEEE Transactions on Mobile Computing (TMC), 2025. (JCR-1,CCF-A,IF=7.7)

[62] Hui Li, Xiuhua Li*, Qilin Fan, Qiang He, Xiaofei Wang, and Victor C. M. Leung,“Adaptive Model Partitioning and Pruning for Collaborative DNN Inference in Mobile Edge-Cloud Computing Networks”, IEEE Transactions on Mobile Computing (TMC), 2025. (JCR-1,CCF-A,IF=7.7)

[61] Fei Wang, Qilin Fan*, Tianfu Wang, Xu Zhang, Xiuhua Li, and Hao Yin,“IKENGA: Infeasibility Knowledge-Enhanced Genetic Algorithm for Virtual Network Embedding”, IEEE Transactions on Green Communications and Networking (TGCN), 2025. (JCR-1,IF=5.3)

[60] Tao Song, Xiuhua Li*, Yanxia Wang*, Hui Li, and Luxi Cheng, “Cooperative ecological truck platooning optimization with vehicle-to-vehicle communication in freight hub”, Journal of Intelligent Transportation Systems, 2025. (JCR-3,IF=2.8)

[59] Jian Tang, Xiuhua Li*, Guozeng Xu, Penghua Li, Xiaofei Wang, and Victor C. M. Leung,“Group-based Federated Learning with Cost-efficient Sampling Mechanism in Mobile Edge Computing Networks”, IEEE Transactions on Mobile Computing (TMC), 2025. (JCR-1,CCF-A,IF=7.7)

[58] 郝金隆，张祯，李秀华*，曾胡爽，黄河澎，蔡春茂,“基于YOLOv8的边缘端轻量级多尺度目标检测方法”,计算机工程, 2025. (CCF-C中文)

[57] Xiuhua Li, Hui Li*, Chuan Sun, Qilin Fan, Zhu Han, and Victor C.M. Leung, "Edge-Enhanced Intelligence: A Comprehensive Survey of Large Language Models and Edge-Cloud Computing Synergy", IEEE Communications Surveys & Tutorials (COMST), 2025. (JCR-1, IF=46.7)

[56] Qifeng Liu, Qilin Fan*, Xu Zhang, Xiuhua Li, Kai Wang, Qingyu Xiong, "DRL-Based Time-Varying Workload Scheduling with Priority and Resource Awareness", IEEE Transactions on Network and Service Management (TNSM), 2025. (JCR-1, CCF-C, IF=4.7)

[55] Xiaofei Wang, Yunfeng Zhao, Chao Qiu*, Fei Gao, Zebo Zhao, Haipeng Yao, and Xiuhua Li, “Energy-Friendly Federated Neural Architecture Search for Industrial Cyber-Physical Systems”, IEEE Journal on Selected Areas in Communications (JSAC), 2025. (JCR-1, CCF-A, IF=9.302)

[54] Jian Tang, Xiuhua Li*, Hui Li, Penghua Li, Xiaofei Wang, and Victor C. M. Leung,“Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks”, IEEE Transactions on Mobile Computing (TMC), 2025. (JCR-1,CCF-A,IF=6.075)

[53] Chenyang Wang, Hao Yu*, Xiuhua Li, Xiaofei Wang, Tarik Taleb, and, and Victor C. M. Leung,“Dependency-Aware Microservice Deployment for Edge Computing: A Deep Reinforcement Learning Approach with Network Representation”, IEEE Transactions on Mobile Computing (TMC), 2024, 23(12): 14737-14753. (JCR-1,CCF-A,IF=6.075)

[52] Hui Li,Xiuhua Li*, Qilin Fan, Qiang He, Xiaofei Wang, and Victor C. M. Leung,“Distributed DNN Inference with Fine-grained Model Partitioning in Mobile Edge Computing Networks”, IEEE Transactions on Mobile Computing (TMC), 2024, 23(10): 9060-9074. (JCR-1,CCF-A,IF=6.075)

[51] Chuan Sun,Xiuhua Li*, Chenyang Wang, Qiang He, Xiaofei Wang, and Victor C. M. Leung,“Hierarchical Deep Reinforcement Learning for Joint Service Caching and Computation Offloading in Mobile Edge-Cloud Computing”, IEEE Transactions on Services Computing (TSC), 2024, 17(4): 1548-1564. (JCR-1,CCF-A,IF=8.1,Best Paper Runner-up 最佳论文奖亚军)

[50] 范琪琳，牛岳，尹浩，王天富，李秀华*，郝金隆,“GAT-IL：一种基于图注意力网络与模仿学习的服务功能链部署方法”,电子学报, 2024. (CCF-A中文)

[49] Chuan Sun, Xiongwei Wu,Xiuhua Li*, Qilin Fan, Junhao Wen, and Victor C. M. Leung,“Cooperative Computation Offloading for Multi-Access Edge Computing in 6G Mobile Networks via Soft Actor Critic”, IEEE Transactions on Network Science and Engineering (TNSE), 2024, 11(6): 5601-5614. (JCR-1, IF=5.213)

[48] 刘斌, 李轶群, 史博, 任延凯, 洪俊, 李秀华*,“无信号交叉路口基于模糊调度策略的车辆控制研究”,计算机工程, 2024. (CCF-C中文)

[47] Hui Li,Xiuhua Li*, Chuan Sun, Fang Fang, Qilin Fan, Xiaofei Wang, and Victor C. M. Leung,“Intelligent Content Caching and User Association in Mobile Edge Computing Networks for Smart Cities”, IEEE Transactions on Network Science and Engineering (TNSE), 2024, 11(1): 994-1007. (JCR-1, IF=5.213)

[46] Ruohan Shi, Qilin Fan*, Shu Fu, Xu Zhang, Xiuhua Li, Meng Chen,“COCAM: a cooperative video edge caching and multicasting approach based on multi-agent deep reinforcement learning in multi-clouds environment”, Journal of Cloud Computing (JCC),2023. (JCR-2, IF=3.222)

[45] Hui Li, Xiuhua Li*, Qilin Fan, Qingyu Xiong, Xiaofei Wang, and Victor C. M. Leung,“Transfer Learning for Real-Time Surface Defect Detection with Multi-Access Edge-Cloud Computing Networks”, IEEE Transactions on Network and Service Management (TNSM), 2023, 21(1): 310-323. (JCR-1, CCF-C, IF=3.878)

[44] Tao Song, Xiuhua Li*, Yingheng Yu, Yaping Cui, Kai Chen, Luxi Cheng, Jinlong Hao, and Chunmao Cai, “Low-power secure caching strategy for Internet of vehicles”,Wireless Networks (WINE),2023. (JCR-2, CCF-C, IF=2.701)

[43] Junnan Li, Zhengyi Yang*, Kai Chen, Zhao Ming, Xiuhua Li, Qilin Fan, Jinlong Hao, and Luxi Cheng, “Dependency-aware task offloading based on deep reinforcement learning in mobile edge computing networks”, Wireless Networks (WINE),2023. (JCR-2, CCF-C, IF=2.701)

[42] Shuting Qiu, Qilin Fan*, Xiuhua Li, Xu Zhang, Geyong Min, and Yongqiang Lyu, “OA-Cache: Oracle Approximation based Cache Replacement at the Network Edge”, IEEE Transactions on Network and Service Management (TNSM),2023, 20(3): 3177-3189. (JCR-1, CCF-C, IF=4.195)

[41] Chuan Sun, Xiuhua Li*, Junhao Wen, Xiaofei Wang, Zhu Han, and Victor C.M. Leung, “Federated Deep Reinforcement Learning for Recommendation-enabled Edge Caching in Mobile Edge-Cloud Computing Networks”, IEEE Journal on Selected Areas in Communications (JSAC), 2023, 41(3): 690-705. (JCR-1, CCF-A, IF=9.302)

[40] Xiuhua Li, Zhenghui Xu, Fang Fang, Qilin Fan*, Xiaofei Wang, and Victor C. M. Leung,“Task Offloading for Deep Learning Empowered Automatic Speech Analysis in Mobile Edge-Cloud Computing Networks”, IEEE Transactions on Cloud Computing (TCC),2023, 11(2): 1985-1998. (JCR-1, CCF-C, IF=5.938)

[39] Ziheng Duan, Yueyang Wang, Weihao Ye, Qilin Fan, Xiuhua Li,“Connecting latent relationships over heterogeneous attributed network for recommendation”, Applied Intelligence, 2022, 52(14): 16214-16232. (JCR-2, CCF-C)

[38] Xiuhua Li, Chuan Sun, Junhao Wen, Xiaofei Wang, Mohsen Guizani, and Victor C. M. Leung,“Multi-user QoE Enhancement: Federated Multi-agent Reinforcement Learning for Cooperative Edge Intelligence”, IEEE Network, 2022, 36(5): 144-151. (JCR-1, IF=8.808)

[37] Guanzhong Liang, Chuan Sun, Jianing Zhou, Fengji Luo, Junhao Wen, Xiuhua Li,“A General Matrix Factorization Framework for Recommender Systems in Multi-access Edge Computing Network”, Mobile Networks and Applications (MONET), 2022, 27(4): 1629-1641. (JCR-2, CCF-C)

[36] Qilin Fan, Pan Pan, Xiuhua Li, Sen Wang*, Jian Li, Junhao Wen, “DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning”, IEEE Transactions on Network and Service Management (TNSM),2022, 19(4): 4531-4545. (JCR-1, CCF-C, IF=4.195)

[35] Zhao Ming, Xiuhua Li*, Chuan Sun, Qilin Fan, Xiaofei Wang, and Victor C. M. Leung,“Sleeping Cell Detection for Resiliency Enhancements in 5G/B5G Mobile Edge-Cloud Computing Networks”, ACM Transactions on Sensor Networks(TOSN),2022, 18(3)(42): 1-30. (JCR-1, CCF-B, IF=3.52)

[34] Jie Liao, Wei Zhou, Fegnji Luo, Junhao Wen, Xiuhua Li, Jun Zeng,“SocialLGN: Light graph convolution network for social recommendation”, Information Sciences,2022, 589: 595-607. (JCR-1, CCF-B, IF=7.89)

[33] Huan Zhou, Kai Jiang, Xuxun Liu, Xiuhua Li, and Victor C. M. Leung, “Deep Reinforcement Learning for Energy-Efficient Computation Offloading in Mobile-Edge Computing”, IEEE Internet of Things Journal (IoT J), 2022, 9(2): 1517-1530. (JCR-1, IF=9.515)

[32]宋涛，李秀华*，李辉，文俊浩，熊庆宇，陈杰,“大数据时代下车联网安全加密认证技术研究”, 计算机科学, 2022, 49(4): 340-353. (CCF-B中文)

[31] Yunfeng Zhao, Zhicheng Liu, Chao Qiu, Xiuhua Li, Xiaofei Wang, and Qinghua Hu*,“Socialized Learning for Smart Cities: Cognitive Paradigm, Methodology, and Solution”, IEEE Wireless Communications, 2021, 28(5): 200-208. (JCR-1, IF=11.979)

[30] Kai Jiang, Chuan Sun, Huan Zhou*, Xiuhua Li, Mianxiong Dong, and Victor C. M. Leung,“Intelligence-Empowered Mobile Edge Computing: Framework, Issues, Implementation, and Outlook”, IEEE Network, 2021, 35(5): 74-82. (JCR-1, IF=8.808)

[29] 李辉，李秀华，熊庆宇，文俊浩，程路熙*，邢镔,“边缘计算助力工业互联网：架构、应用与挑战”, 计算机科学, 2021, 48(1): 1-10. (CCF-B中文)

[28] Suning Han, Xiuhua Li*, Chuan Sun, Xiaofei Wang, and Victor C. M. Leung,“RecCac: Recommendation-Empowered Cooperative Edge Caching for Internet of Things”, ZTE Communications, 2021, 19(2): 2-10. 

[27] Xiongwei Wu, Xiuhua Li, Jun Li, P. C. Ching, Victor C.M. Leung, and Vincent Poor, “Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic”, IEEE Transactions on Communications (TCOM), 2021, 69(9): 5886-5901. (JCR-1, CCF-B, IF=5.69)

[26] Xiuhua Li, Luxi Cheng, Chuan Sun, Kwok-Yan Lam, Xiaofei Wang, and Feng Li*,“Federated Learning Empowered Collaborative Data Sharing for Vehicular Edge Networks”, IEEE Network, 2021, 35(3): 116-124. (JCR-1, IF=8.808)

[25] Qilin Fan, Xiuhua Li*, Jian Li, Qiang He, Kai Wang, and Junhao Wen,“PA-Cache: Evolving Learning-Based Popularity-Aware Content Caching in Edge Networks”, IEEE Transactions on Network and Service Management (TNSM), 2021,18(2): 1746-1757. (JCR-1, CCF-C, IF=3.878)

[24] Xiaofei Wang, Ruibin Li, Chenyang Wang, Xiuhua Li*, Tarik Taleb, and Victor C.M. Leung, “Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching”, IEEE Journal on Selected Areas in Communications (JSAC), 2021, 39(1): 154-169. (JCR-1, CCF-A, IF=9.302)

[23] Xiaofei Wang, Chenyang Wang, Xiuhua Li*, Victor C. M. Leung, and Tarik Taleb, “Federated Deep Reinforcement Learning for Internet of Things with Decentralized Cooperative Edge Caching”, IEEE Internet of Things Journal (IoT J), 2020, 7(10): 9441-9455. (JCR-1, IF=9.515，热点论文，ESI top 1/1000)

  [22] Xiaofei Wang, Xiuhua Li*, Sangheon Pack, Zhu Han, and Victor C.M. Leung, “STCS: Spatial-Tempor al Collaborative Sampling in Flow-aware Software Defined Networks”, IEEE Journal on Selected Areas in Communications (JSAC), 2020, 38(6): 999-1013. (JCR-1, CCF-A, IF=9.302)

[21] Xiongwei Wu, Qiang Li, Xiuhua Li, Victor C.M. Leung, and P. C. Ching, “Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks”, IEEE Transactions on Communications (TCOM), 2020, 68(5): 3173-3186. (JCR-1, CCF-B, IF=5.69)

[20] Chuan Sun, Hui Li, Xiuhua Li*, Junhao Wen, Qingyu Xiong, and Wei Zhou, “Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey”, IEEE Access, 2020, 8(1): 47118-47132.(JCR-1, IF=4.098)

[19] Feng Li, Kwokyan Lam, Xiuhua Li*, Zhengguo Sheng, and Li Wang, “Advances and Emerging Challenges in Cognitive Internet of Things”, IEEE Transactions on Industrial Informatics (TII), 2020, 16(8): 5489-5496. (JCR-1, IF=5.43)

[18] Feng Li, Kwok-Yan Lam, Min Jia, Kanglian Zhao, Xiuhua Li, and Li Wang, “Spectrum Optimization for Satellite Communication Systems with Heterogeneous User Preferences”, IEEE Systems Journal, 2020, 14(2): 2187-2191. (JCR-1, IF=4.463)

[17] Huan Zhou*, Hui Wang, Ning Wang, Dawei Li, Yue Cao, Xiuhua Li*, and Jie Wu, “Exploiting Mobile Social Networks from Temporal Perspective: A Survey”, IEEE Access, 2019, 7(1): 180818-180834. (JCR-1, IF=4.098)

[16] Qilin Fan,Xiuhua Li, Sen Wang, Shu Fu, and Yueyang Wang, “NA-Caching: An Adaptive Content Management Approach Based on Deep Reinforcement Learning”, IEEE Access, 2019, 7(1): 152014-152022. (JCR-1, IF=4.098)

[15] Xiuhua Li, Xiaofei Wang, Peng-Jun Wan, Zhu Han, and Victor C.M. Leung, “Hierarchical Edge Caching in Device-to-Device Aided Mobile Networks: Modeling, Optimization, and Design”, IEEE Journal on Selected Areas in Communications (JSAC), 2018, 36(8): 1768-1785. (JCR-1, CCF-A, IF=8.085，IEEE官方主页封面文章)

[14] Huan Zhou, Hui Wang,Xiuhua Li*, and Victor C.M. Leung, “A Survey of Mobile Data Offloading Techniques”, IEEE Access, 2018, 6: 5101-5111. (JCR-1, IF=3.244,ESI高被引)

[13] Huan Zhou, Hui Wang, Xin Chen,Xiuhua Li*, and Shouzhi Xu, “Data Offloading Techniques through Vehicular Ad Hoc Networks: A Survey”, IEEE Access, 2018, 6: 65250-65259. (JCR-1, IF=3.244,ESI高被引)

[12] Xiuhua Li, Xiaofei Wang, Zhengguo Sheng, Huan Zhou, and Victor C.M. Leung, “Resource Allocation for Cache-enabled Cloud-based Small Cell Networks”, Computer Communications (ComCom), 2018, 127: 20-29. (JCR-2, CCF-C, IF=3.338) 

[11] Xin Ge,Xiuhua Li, Hu Jin, Julian Cheng, and Victor C.M. Leung, “Joint User Association and User Scheduling for Load Balancing in Heterogeneous Networks”, IEEE Transactions on Wireless Communications (TWC), 2018, 17(5): 3211-3225. (JCR-1, CCF-B, IF=4.951)

[10] Feng Li, Kwok-Yan Lam,Xiuhua Li, Xin Liu, Li Wang, and Victor C. M. Leung, “Dynamic Spectrum Access Networks with Heterogeneous Users: How to Price the Spectrum?”, IEEE Transactions on Vehicular Technology (TVT), 2018, 67(6): 5203-5216. (JCR-1, IF=4.066)

[9] Chunqiang Hu, Hang Liu, Liran Ma, Yan Huo, Arwa Alrawais,Xiuhua Li, Hong Li, Qingyu Xiong, “A Secure and Scalable Data Communication Scheme in Smart Grids", Wireless Communications and Mobile Computing (WCMC), 2018: 1-17. (JCR-3, CCF-C, IF=1.899)

[8] Xiuhua Li, Xiaofei Wang, Keqiu Li, Zhu Han, and Victor C.M. Leung, “Collaborative Multi-tier Caching in Heterogeneous Networks: Modeling, Analysis, and Design”, IEEE Transactions on Wireless Communications (TWC), 2017, 16(10): 6926-6939. (JCR-1, CCF-B, IF=4.951)

[7] Xiuhua Li, Xiaofei Wang, and Victor C.M. Leung, “Optimizing Power Allocation in Wireless Networks: Are the Implicit Constraints Really Redundant?”, Computer Communications (ComCom), 2017, 111: 153-164. (JCR-2, CCF-C, IF=3.338)

[6] Xiuhua Li*, Xiaofei Wang, Keqiu Li, and Victor C.M. Leung, “CaaS: Caching as a Service for 5G networks”, IEEE Access, 2017, 5: 5982-5993. (JCR-1, IF=3.244)

[5] Chunsheng Zhu,Xiuhua Li, Victor C.M. Leung, Laurence T. Yang, Edith C.H. Ngai, and Lei Shu, “Towards Pricing for Sensor-Cloud”, IEEE Transactions on Cloud Computing (TCC), 2017, DOI: 10.1109/TCC.2017.2649525. (JCR-1, IF=7.928)

[4] Peiran Wu, and Xiuhua Li, “Robust Optimization of SC-FDE Based Multihop DF Relay Systems with Imperfect CSI”, IEEE Transactions on Vehicular Technology (TVT), 2017, 66(3): 2862-2867. (JCR-1, IF=4.066)

[3] Yuanfang Chi,Xiuhua Li, Xiaofei Wang, Victor C.M. Leung, and Abdallah Shami, “A Fairness-Aware Pricing Model for Infrastructure as a Service Cloud”, IEEE Systems Journal, 2017, 11(2): 1006-1017. (JCR-1, IF=3.882)

[2] Xiuhua Li, Xin Ge, Xiaofei Wang, Julian Cheng, and Victor C.M. Leung, “Energy Efficiency Optimization: Joint Antenna-Subcarrier-Power Allocation in OFDM-DASs”, IEEE Transactions on Wireless Communications (TWC), 2016, 15(11): 7470-7483. (JCR-1, CCF-B, IF=4.951)

[1] Xiaofei Wang,Xiuhua Li, Victor C.M. Leung, “Artificial Intelligence Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities and Challenges”, IEEE Access, 2015, 3: 1379-1391. (JCR-1, IF=3.244)