刘凯-卓越工程师学院

姓名：		刘凯
职称：		教授/博导
研究方向：		车联网，边缘计算，人工智能，大数据，智能交通系统
联系方式：		liukai0807@gmail.com

刘凯，重庆大学国家卓越工程师学院、重庆大学计算机学院教授，博士生导师。2011年8月获得香港城市大学计算机科学博士学位。曾为美国弗吉尼亚大学访问学者、香港城市大学高级研究助理及博士后、新加坡南洋理工大学博士后、以及香港浸会大学博士后。

主要研究方向包括车联网、边缘计算、智能计算、普适计算、智能交通系统等。共发表学术论文170余篇，包括期刊论文90余篇，会议论文70余篇，出版英文专著1部，编著章节著作 (Book Chapter) 2篇。根据科睿唯安 (原汤森路透) Journal Citation Reports（JCR）分区，65篇期刊文章为JCR一区（第一/通信作者43篇）。发表IEEE/ACM Transactions 52篇（第一/通信作者34篇），包括IEEE/ACM Trans. on Networking (ToN)、IEEE Trans. on Mobile Computing (TMC)、IEEE Trans. on Intelligent Transportation Systems (T-ITS)、IEEE Trans. on Vehicular Technology (TVT)、IEEE Trans. on Industrial Informatics (TII)、IEEE Communications Magazine (ComMag)、IEEE Internet of Things Journal (IoTJ)等。曾荣获ICA3PP’2015、IEEE ISPCE-CN’2018、NCAA’2022国际会议最佳论文奖，以及中国物联网学术会议（CWSN’2019）优秀论文奖。主持科研项目17项，包括国家自然科学基金面上项目3项、国际合作项目5项、省部级项目4项、以及多项中央高校及横向项目。

现为IEEE高级会员、CCF高级会员、ACM会员、CCF物联网专委会委员、CCF网络与数据通信专委会委员、中国通信学会车联网委员会委员。曾担任十余国际会议组织委员会与程序委员会委员，包括IEEE GLOBECOM’19~23, ICA3PP’2021，IEEE VNC’19, IEEE UIC’15~19, ACM SAC’17~21, IEEE RTCSA’14’15, IEEE HPCC’13等，并荣获RTCSA’16、UIC’19、及CWSN’19杰出服务奖；担任十余国际权威期刊评审，包括IEEE JSAC, IEEE TII, IEEE TVT, IEEE TITS, IEEE TC, IEEE TMC, IEEE TKDE, IEEE ToC, ACM TCPS等；曾担任IEEE TCE、IEEE IoT Journal、ACM/Springer MONET、Springer NCAA等期刊专刊客座编委。

曾荣获2021重庆市自然科学一等奖（排名第二）、2021重庆英才·青年拔尖人才、2020重庆市高校中青年骨干教师、2018重庆大学自然科学奖一等奖（排名第一）、2018 ACM（重庆）最佳导师奖、2018重庆大学唐立新奖教金、2018重庆大学优秀青年教师、2014重庆市高层次引进人才、2014重庆大学百人计划、2011香港城市大学周亦卿研究生院奖学金、2008/09及2009/10香港城市大学杰出学术成果奖等荣誉。

主持项目

1. 国际合作项目

[1] 韩国DGIST国际合作项目，Architecture Design and Analysis for 5G-Enabled Software-defined Vehicular Networks（基于5G的软件定义车联网架构设计与分析），H20180672，2018/07–2018/12。

[2] 韩国DGIST国际合作项目，Towards Large-scale and Real-time Information Collection and Dissemination in Vehicular Networks（面向车载网络中的大规模与实时信息收集与分发研究），1040112820170535，2017/07–2018/07。

[3] 韩国DGIST国际合作项目，Cross-layer Design for Data Services in Software-Defined Vehicular Ad-hoc Networks（面向软件定义车联网中数据服务的跨层设计），1040112820160666，2016/07–2017/07。

[4] 韩国DGIST国际合作项目，Towards Efficient Information Services via V2X Communications in Vehicular Cyber-Physical Systems（车载信息物理融合系统中基于V2X通信的高效信息服务研究），1040112820150601，2015/07–2016/07。

[5] 韩国DGIST国际合作项目，Towards Robust Infrastructure-based Data Dissemination by Exploiting Cooperative Inter-vehicle Communication（利用协作式车间通信的鲁棒基础设施数据分发研究），1042012920140662，2014/07–2015/07。

2. 国家级项目

[1] 国家自然科学基金面上项目，面向车载信息物理系统的端边云协同调度与感算联合优化，62472055，2025/01–2028/12。

[2] 国家自然科学基金面上项目，面向车联网边缘智能的计算模型部署与协同跨域优化，62172064，2022/01–2025/12。

[3] 国家自然科学基金面上项目，面向大规模数据服务的异构融合车联网架构与协议研究，61872049，2019/01–2022/12。

[4] 国家自然科学基金面上项目，面向车联网多信道I2V/V2V混合通信与时态信息服务研究，61572088，2016/01–2019/12。

3. 省部级项目

[1] 重庆英才计划项目，车联网感传算协同智能关键技术研究，cstc2022ycjh-bjzxm0039，2022/01–2024/12。

[2] 重庆市留学人员创业创新支持计划启动项目，车联网协同智能关键技术及应用研究，cx2021063，2021/11–2022/11。

[3] 重庆市留学人员创业创新支持计划优秀项目，基于SDN的异构融合车联网架构与协议关键技术研究，cx2018016，2018/10–2019/10。

[4] 重庆市自然科学基金面上项目，移动计算环境中基于按需广播信息服务的算法与理论研究，cstc2017jcyjAX0026， 2017/07–2020/06。

4. 校级项目

[1] 重庆大学中央高校基本科研业务费“平台与成果培育专项”，2020CDCGJ004，面向软件定义车联网的智能服务理论与方法研究，2020/01–2020/12。

[2] 重庆大学中央高校基本科研业务费“前沿交叉学科培育专项”，2018CDQYJSJ0034，面向雾计算的软件定义车联网架构与协议关键技术研究， 2018/01 –2019/12（优秀结题）。

[3] 重庆大学中央高校基本科研业务费重点项目，106112015CDJZR185518，车联网环境中实时车载通信与时态信息服务关键技术研究，2015/01–2016/12（优秀结题）。

5. 横向项目

[1] 华为合作项目，昇腾众智2022-MindX参考设计&MindStudio案例，H20221078，2022/08-2022.10。

[2] 华为合作项目，昇腾众智2022-CANN PyTorch模型，H20220384，2022/04-2022.11。

[3] 华为合作项目，昇腾处理器环境中基于MindX SDK/TensorFlow框架开发模型，H20211495，2021/10–2021/12。

[4] 华为合作项目，昇腾处理器环境中基于MindX SDK开发参考设计，H20211379，2021/07–2021/12。

[5] 国家电网项目（国网湖北省电力公司宜昌供电公司），基于大数据挖掘技术的对标数据分析应用，1042012920161043，2016/12 – 2017/12。

6. 教学教改项目

[1] 重庆大学产教融合型课程典型案例，车联网系统与应用，2024。

[2] 教育部学位与研究生教育发展中心工程案例，基于V2X的协同自动驾驶功能开发与测试验证，GC-241061102，2024。

[3] 重庆市高等教育教学改革研究项目（重大项目），基于产教融合的智能网联汽车跨学科人才培养体系构建，2024。

[4] 教育部产学合作协同育人项目，车联网边缘智能系统实践基地，220500284052126，2023。

论文列表

a) 排名及影响因子出处：科睿唯安(原汤森路透)Journal Citation Reports（JCR）“https://jcr.clarivate.com/JCRLandingPageAction.action“.

b) 通讯作者标注*.

1. 期刊论文

[1] Hualing Ren , Kai Liu*, Guozhi Yan , Chunhui Liu , Yantao Li , Chuzhao Li , and Weiwei Wu. Truthful Auction Mechanisms for Dependent Task Offloading in Vehicular Edge Computing, IEEE Transactions on Mobile Computing, to appear.

[2] Penglin Dai, Yangyang Chao, Xiao Wu, Kai Liu and Songtao Guo. Context-aware Offloading for Edge-assisted On-device Video Analytics Through Online Learning Approach, IEEE Transactions on Mobile Computing, to appear.

[3] Guozhi Yan, Kai Liu*, Chunhui Liu, Jie Zhang. Edge Intelligence for Internet of Vehicles: A Survey. IEEE Transactions on Consumer Electronics, to appear. 影响因子: 4.3 (2022), 3.9 (5-year)

[4] Fuqiang Gu, Jiarui Dou, Mingyan Li*, Xianlei Long*, Songtao Guo, Chao Chen, Kai Liu, Xianlong Jiao, and Ruiyuan Li. EventAugment: Learning Augmentation Policies from Asynchronous Event-based Data. IEEE Transactions on Cognitive and Developmental Systems, to appear. 影响因子: 5 (2022), 4.8 (5-year)

[5] Xincao Xu, Kai Liu*, Penglin Dai, Ruitao Xie, Jingjing Cao, and Jiangtao Luo. Cooperative Sensing and Heterogeneous Information Fusion in VCPS: A Multi-Agent Deep Reinforcement Learning Approachs. IEEE Transactions on Intelligent Transportation Systems, volume 25, issue 6, pp. 4876-4891, June 2024. 影响因子: 8.5 (2022), 9 (5-year) (JCR一区)

[6] Penglin Dai*, Biao Han, Huanlai Xing, Xiao Wu, Bingyi Liu and Kai Liu. Distributed Connvex Relaxation for Heterogeneous Task Replication in Mobile Edge Computing. IEEE Transactions on Mobile Computing, volume 23, issue 2, pp. 1230-1245, February 2024. [SCI] 影响因子: 7.9 (2022), 6.5 (5-year) (JCR一区)

[7] Kai Liu*, Xincao Xu, Penglin Dai, and Biwen Chen. Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC. IEEE Transactions on Consumer Electronics, volume 70, issue 1, pp. 3614-3625, February 2024. 影响因子: 4.3 (2022), 3.9 (5-year)

[8] Chunhui Liu and Kai Liu*. Toward Reliable DNN-based Task Partitioning and Offloading in Vehicular Edge Computing. IEEE Transactions on Consumer Electronics, volume 70, issue 1, pp. 3349-3360, February 2024. 影响因子: 4.3 (2022), 3.9 (5-year)

[9] Hualing Ren, Kai Liu*, Chunhui Liu, Guozhi Yan and Yantao Li. An Approximation Algorithm for Joint Data Uploading and Task Offloading in IoV. IEEE Transactions on Consumer Electronics, volume 70, issue 1, pp. 3018-3030, February 2024. 影响因子: 4.3 (2022), 3.9 (5-year)

[10] Feiyu Jin, Kai Liu*, Chunhui Liu, Tongtong Cheng, Hao Zhang, and Victor Lee. A Cooperative Vehicle Localization and Trajectory Prediction Framework based on Belief Propagation and Transformer Model. IEEE Transactions on Consumer Electronics, volume 70, issue 1, pp. 2746-2758, February 2024. 影响因子: 4.3 (2022), 3.9 (5-year)

[11] Penglin Dai,Yaorong Huang, Xiao Wu*, Ke Li, Huanlai Xing, and Kai Liu. Freshness and Security-aware Cache Update in Blockchain-based Vehicular Edge Networks. IEEE Transactions on Consumer Electronics, volume 70, issue 1, pp. 108-121, February 2024. 影响因子: 4.3 (2022), 3.9 (5-year)

[12] Kai Liu*, Chunhui Liu, Guozhi Yan, Victor Lee, Jiannong Cao. Accelerating DNN Inference with Reliability Guarantee in Vehicular Edge Computing. IEEE/ACM Transactions on Networking, volume 31, issue 6, pp. 3238-3256, December 2023. 影响因子: 3.7 (2022), 4 (5-year).(JCR一区)

[13] Kai Liu, Feiyu Jin, Junbo Hu, Ruitao Xie*, Fuqiang Gu, Songtao Guo, Jiangtao Luo. Towards Robust WiFi Fingerprint-based Vehicle Tracking in Dynamic Indoor Parking Environments: An Online Learning Framework. IEEE Transactions on Mobile Computing, volume 22, issue 12, pp. 6970-6984, December 2023. [SCI] 影响因子: 7.9 (2022), 6.5 (5-year) (JCR一区)

[14] Chunhui Liu, Kai Liu*, Hualing Ren, Xincao Xu, Ruitao Xie and Jingjing Cao. RtDS: Real-time Distributed Strategy for Multi-period Task Offloading in Vehicular Edge Computing Environment. Neural Computing and Applications, volume 25, pp. 12373-12387, June, 2023. [SCI] 影响因子: 6.0(2022), 5.6 (5-year) (JCR一区)

[15] Guangli Dai, Weiwei Wu*, Kai Liu*, Feng Shan, Jianping Wang, Xueyong Xu and Junzhou Luo. Joint Sleep and Rate Scheduling with Booting Costs for Energy Harvesting Communication Systems. IEEE Transactions on Mobile Computing, volume 22, issue 6, pp. 3391-3406, June, 2023. [SCI] 影响因子: 7.9 (2022), 6.5 (5-year) (JCR一区)

[16] Penglin Dai, Feng Song, Kai Liu*, Yueyue Dai, Pan Zhou and Songtao Guo. Edge Intelligence for Adaptive Multimedia Streaming in Heterogeneous Internet of Vehicles. IEEE Transactions on Mobile Computing, volume 22, issue 3, pp. 1464- 1478, March, 2023. [SCI] 影响因子: 7.9 (2022), 6.5 (5-year) (JCR一区)

[17] Junxia Wang, Jiangtao Luo*, Yongyi Ran, Junchao Yang, Kai Liu, and Song Guo. Towards Predictive Forwarding Strategy in Vehicular Named Data Networking. IEEE Transactions on Vehicular Technology, volume 72, issue 3, pp. 3751- 3763, March, 2023. [SCI] 影响因子: 6.8 (2022), 6.5 (5-year) (JCR一区)

[18] Hualing Ren, Kai Liu*, Guozhi Yan, Yantao Li, Choujun Zhan and Songtao Guo. A Memetic Algorithm for Cooperative Complex Task Offloading in Heterogeneous Vehicular Networks. IEEE Transactions on Network Science and Engineering, volume 10, issue 1, pp.189-204, January, 2023. [SCI] 影响因子: 6.6 (2022), 6.0 (5-year) (JCR一区)

[19] Xincao Xu, Kai Liu*, Penglin Dai, Feiyu Jin, Hualing Ren, Choujun Zhan, and Songtao Guo. Joint Task Offloading and Resource Optimization in NOMA-Based Vehicular Edge Computing: A Game-Theoretic DRL Approach. Journal of Systems Architecture, volume 134, pp. 102780, January, 2023. [SCI] 影响因子: 4.5 (2022), 4.0 (5-year) (JCR一区)

[20] Ruitao Xie, Junhong Fang, Junmei Yao, Kai Liu*, Xiaohua Jia, and Kaishun Wu. QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing. IEEE Transactions on Parallel and Distributed Systems, volume 33, issue 12, pp.3816-3832, December, 2022. [SCI] 影响因子: 3.757 (2021), 3.389 (5-year) (JCR一区)

[21] Zhou Wu, Junjun Wu, Yuguang Chen, Kai Liu, and Liang Feng. Network Rebalance and Operational Efficiency of Sharing Transportation System: Multi-objective Optimization and Predictive Control Approaches. IEEE Transactions on Intelligent Transportation Systems, volume 23, issue 10, pp. 17119-17129, October, 2022. [SCI] 影响因子: 9.551 (2021), 9.502 (5-year) (JCR一区)

[22] Jialai Liu, Kai Liu*, Feiyu Jin, and Liangyi Gong. Towards Robust and Adaptive Pedestrian Monitoring using CSI: Design, Implementation, and Evaluation. Neural Computing and Applications, volume 34, issue 14, pp. 12063-12075, July, 2022. [SCI] 影响因子: 5.102(2021), 5.13 (5-year) (JCR一区)

[23] Xianlong Jiao*, Wei Lou, Songtao Guo, Ning Wang, Chao Chen and Kai Liu. Hypergraph-based Active Minimum Delay Data Aggregation Scheduling in Wireless Powered IoT. IEEE Internet of Things Journal, volume 9, issue 11, pp. 8786-8799, June, 2022. [SCI] 影响因子: 10.238 (2021), 11.043 (5-year) (JCR一区)

[24] Yichen Liu, Pan Zhou*, Lei Yang, Yulei Wu, Zichuan Xu, Kai Liu and Xiumin Wang. Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach. IEEE Transactions on Emerging Topics in Computational Intelligence, volume 6, issue 3, pp. 462-478, June 2022, [SCI] 影响因子: 4.851 (2021), 5.844 (5-year)

[25] Yuhang Xu , Wanyuan Wang , Guangwei Xiong*, Xiang Liu*, Weiwei Wu and Kai Liu. Network-Flow-Based Efficient Vehicle Dispatch for City-Scale Ride-Hailing Systems. IEEE Transactions on Intelligent Transportation Systems, volume 23, issue 6, pp. 5526-5538, June, 2022. [SCI] 影响因子: 9.551 (2021), 9.502 (5-year) (JCR一区)

[26] Jiadi Liu, Songtao Guo*, Kai Liu and Liang Feng. Resource Provision and Allocation Based on Microeconomic Theory in Mobile Edge Computing. IEEE Transactions on Services Computing, volume 15, issue 3, pp. 1512-1525, June 2022. [SCI] 影响因子: 11.019 (2021), 8.174 (5-year) (JCR一区)

[27] Xiumin Wang*, Qi Jing, Pan Zhou, Kai Liu and Weiwei Wu. Minimizing the Age of Multi-Source Information with Budget Constraint in Internet of Things. IEEE Internet of Things Journal, volume 9, issue 8, pp. 6173-6183, April, 2022 [SCI] 影响因子: 10.238 (2021), 11.043 (5-year) (JCR一区)

[28] Chenxin Dai, Xiumin Wang*, Kai Liu, Deyu Qi, Weiwei Lin and Pan Zhou. Stable Task Assignment for Mobile Crowdsensing with Budget Constraint. IEEE Transactions on Mobile Computing, volume 20, issue 12, pp.3439-3452, December, 2021. [SCI] 影响因子: 6.075 (2021), 5.03 (5-year) (JCR一区)

[29] Kai Liu*, Ke Xiao, Penglin Dai, Victor Lee, Songtao Guo and Jiannong Cao. Fog Computing Empowered Data Dissemination in Software Defined Heterogeneous VANETs. IEEE Transactions on Mobile Computing, volume 20, issue 11, pp.3181-3193, November, 2021. [SCI] 影响因子: 6.075 (2021), 5.03 (5-year) (JCR一区)

[30] Liangjie Zhang, Yuling Xie, Jianjun Chen, Liang Feng*, Chao Chen and Kai Liu. A Study on Multiform Multi-objective Evolutionary Optimization, Memetic Computing, volume 13, issue 3, pp. 307-318, September, 2021. [SCI] 影响因子: 5.9 (2020), 4.368 (5-year) (JCR一区)

[31] Zhou Wu*, Junjun Wu, Mingbo Zhao, Liang Feng and Kai Liu. Two-layered Ant Colony System to Improve Engraving Robot′s Efficiency based on a Large-scale TSP Model. Neural Computing and Applications, volume 33, issue 12, pp. 6939-6949, June, 2021. [SCI] 影响因子: 5.606 (2020), 5.573 (5-year) (JCR一区)

[32] Lei Zhou, Liang Feng*, Kay-Chen Tan*, Jinghui Zhong, Zexuan Zhu, Kai Liu and Chao Chen. Towards Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation. IEEE Transactions on Cybernetics, volume 51, issue 5, pp. 2563-2576, May, 2021. [SCI] 影响因子: 11.448 (2020), 11.507 (5-year) (JCR一区)

[33] Ke Xiao, Kai Liu*, Xincao Xu, Liang Feng, Zhou Wu and Qiangwei Zhao. Cooperative Coding and Caching Scheduling via Binary Particle Swarm Optimization in Software Defined Vehicular Networks. Neural Computing and Applications, volume 33, issue 5, pp. 1467-1478, May, 2021. [SCI] 影响因子: 5.606 (2020), 5.573 (5-year) (JCR一区)

[34] Songtao Guo*, Menggang Chen, Kai Liu, Xiaofeng Liao and Bin Xiao. Robust Computation Offloading and Resource Scheduling in Cloudlet-based Mobile Cloud Computing. IEEE Transactions on Mobile Computing, volume 20, issue 5, pp. 2025-2040, May, 2021. [SCI] 影响因子: 5.577 (2020), 4.725 (5-year) (JCR一区)

[35] Byungjin Ko, Kai Liu*, Sang Son and Kyung-Joon Park. RSU-assisted Adaptive Scheduling for Vehicle-to-Vehicle Data Sharing in Bidirectional Road Scenarios. IEEE Transactions on Intelligent Transportation Systems, volume 22, issue 2, pp.977-989, February 2021. [SCI] 影响因子: 6.492 (2020), 7.253 (5-year) (JCR一区)

[36] Ke Xiao, Kai Liu*, Xincao Xu, Yi Zhou and Liang Feng. Efficient Fog-assisted Heterogeneous Data Services in Software Defined VANETs. Journal of Ambient Intelligence and Humanized Computing, volume 12, issue 1, pp.261-273, January 2021. [SCI] 影响因子: 7.104 (2020), 6.163 (5-year) (JCR一区)

[37] Ting Wu, Kai Liu*, Chunhua Xiao, Bingyi Liu, Qingfeng Zhuge and Edwin Sha. Multi-Granularity Space Management Scheme for Accelerating the Write Performance of In-Memory File Systems. IEEE Systems Journal, volume 14, issue 4, pp.5429-5440, December, 2020. [SCI] 影响因子: 3.987 (2019), 4.261 (5-year) (JCR一区)

[38] Xincao Xu, Kai Liu*, Ke Xiao, Liang Feng, Zhou Wu and Songtao Guo. Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration. Mobile Networks and Applications, volume 25, issue 6, pp. 2482-2494, December, 2020. [SCI] 影响因子: 2.602 (2019), 2.76 (5-year)

[39] Haijun Zhang*, Donghai Li, Yuzhu Ji, Haibin Zhou, Weiwei Wu and Kai Liu. Towards New Retail: A Benchmark Dataset for Smart Unmanned Vending Machines. IEEE Transactions on Industrial Informatics, volume 16, issue 12, pp.7722-7731, December 2020. [SCI] 影响因子: 9.112(2019), 9.008 (5-year) (JCR一区)

[40] Qian Li, Zhou Wu*, Rui Ling, Liang Feng and Kai Liu. Multi-reservoir Echo State Computing for Solar Irradiance Prediction: a Fast yet Efficient Deep Learning Approach. Applied Soft Computing, volume 95, article number 106481, October 2020.[SCI] 影响因子: 5.472 (2019), 5.39 (5-year) (JCR一区)

[41] Congming Gao, Liang Shi*, Qiao Li, Kai Liu, Chun Jason Xue, Jun Yang and Youtao Zhang. Aging Capacitor Supported Cache Management Scheme for Solid State Drives. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, volume 39, issue 10, pp. ‏ 2230-2239, October 2020. [SCI] 影响因子: 2.618(2019), 2.236 (5-year)

[42] Chunhui Liu, Kai Liu*, Songtao Guo, Ruitao Xie, Victor Lee and Sang Son. Adaptive Offloading for Time-critical Tasks in Heterogeneous Internet of Vehicles. IEEE Internet of Things Journal, volume 7, issue 9, pp.7999-8011, September 2020. [SCI] 影响因子: 9.936(2019), 11.705 (5-year) (JCR一区)

[43] Shanjing Chen, Chaocan Xiang*, Qing Kang, Wei Zhong, Yanlin Zhou and Kai Liu. Accurate Landslide Detection Leveraging UAV- based Aerial Remote Sensing. IET Communications, volume 15, issue 15, pp. 2434-2441, September 2020. [SCI] 影响因子: 1.664(2019), 1.408 (5-year)

[44] Tong Wu, Pan Zhou*, Kai Liu, Yali Yuan, Xiumin Wang, Huawei Huang and Dapeng Oliver Wu. Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks. IEEE Transactions on Vehicular Technology, volume 69, issue 8, pp. 8243-8256, August 2020. [SCI] 影响因子: 5.379(2019), 5.119 (5-year) (JCR一区)

[45] Penglin Dai, Zihua Hang, Kai Liu*, Xiao Wu, Huanlai Xing, Zhaofei Yu and Victor Chung Sing Lee. Multi-armed Bandit Learning for Computation-intensive Services in MEC-empowered Vehicular Networks. IEEE Transactions on Vehicular Technology, volume 69, issue 7, pp. 7821-7834, July 2020. [SCI] 影响因子: 5.379(2019), 5.119 (5-year) (JCR一区)

[46] Ting Wu, Xianzhang Chen, Kai Liu*, Chunhua Xiao, Zhixiang Liu, Qingfeng Zhuge and Edwin H.-M. Sha. HydraFS: An Efficient NUMA-aware In-memory File System. Cluster Computing, volume 23, issue 2, pp. 705-724, June 2020.[SCI] 影响因子: 3.458 (2019), 2.763 (5-year) (JCR一区)

[47] Junhua Wang, Kai Liu*, Bin Li, Tingting Liu, Ruoguang Li and Zhu Han. Delay-sensitive Multi-period Computation Offloading with Reliability Guarantees in Fog Networks. IEEE Transactions on Mobile Computing, volume 19, issue 9, pp. 2062-2075, May 2020. [SCI] 影响因子:5.112 (2019), 4.549 (5-year) (JCR一区)

[48] Hao Zhang, Kai Liu*, Feiyu Jin, Liang Feng, Victor Lee and Joseph Ng. A Scalable Indoor Localization Algorithm based on Distance Fitting and Fingerprint Mapping in Wi-Fi Environments. Neural Computing and Applications, volume 32, issue 9, pp. 5131-5145, May 2020. [SCI] 影响因子: 4.774(2019), 4.627 (5-year) (JCR一区)

[49] Congming Gao, Liang Shi*, Kai Liu, Chun Jason Xue, Jun Yang and Youtao Zhang. Boosting the Performance of SSDs via Fully Exploiting the Plane Level Parallelism. IEEE Transactions on Parallel and Distributed Systems, volume 31, issue 9, pp. 2185-2200, April 2020. [SCI] 影响因子: 2.6 (2019), 3.747 (5-year) (JCR一区)

[50] Feiyu Jin, Kai Liu*, Hao Zhang, Joseph K.Y. Ng, Songtao Guo, Victor C.S. Lee and Sang H. Son. Towards Scalable and Robust Indoor Tracking: Design, Implementation and Evaluation. IEEE Internet of Things Journal, volume 7, issue 2, pp. 1192-1204, February 2020. [SCI] 影响因子: 9.936 (2019), 11.705 (5-year) (JCR一区)

[51] Yan Lyu, Xu Liu, Hanyi Chen, Arpan Mangal, Kai Liu, Chao Chen and Brian Lim*. OD Morphing: Balancing Simplicity with Faithfulness for OD Bundling. IEEE Transactions on Visualization and Computer Graphics,volume 26, no. 1, pp. 811-821, January 2020. [SCI] 影响因子: 4.558 (2019), 4.317 (5-year) (JCR一区)

[52] Yan Lyu, Victor C. S. Lee, Joseph K. Y. Ng, Brian Y. Lim, Kai Liu* and Chao Chen. Flexi-Sharing: A Flexible and Personalized Taxi-Sharing System. IEEE Transactions on Vehicular Technology, volume 68, issue 10, pp. 9399-9413, October 2019. [SCI] 影响因子: 5.339 (2018), 4.864 (5-year) (JCR一区)

[53] Wendi Nie, Kai Liu*, Victor C.S. Lee, Yaoxin Duan and Sarana Nutanong. Vehdoop: a Scalable Analytical Processing Framework for Vehicular Sensor Networks. IEEE Transactions on Intelligent Transportation Systems, volume 20, issue 8, pp. 3104-3114, August 2019. [SCI] 影响因子: 5.744 (2018), 6.064 (5-year) (JCR一区)

[54] Yaoxin Duan, Kam-Yiu Lam, Victor C.S. Lee, Wendi Nie, Kai Liu, Hao Li and Chun Jason Xue. Data Rate Fingerprinting: a WLAN-based Indoor Positioning Technique for Passive Localization. IEEE Sensors Journal, volume 19, issue 15, pp. 6517-6529, August 2019. [SCI] 影响因子: 3.076 (2018), 3.115 (5-year)

[55] Yaoxing Duan, Victor C. S. Lee, Kam-Yiu Lam, Wendi Nie and Kai Liu*. A Cross-Layer Design for Data Dissemination in Vehicular Ad-hoc Networks. Neural Computing and Applications, volume 31, issue 7, pp. 2869-2887, July 2019. [SCI] 影响因子: 4.664 (2018), 3.570 (5-year) (JCR一区)

[56] Kai Liu*, Xincao Xu, Mengliang Chen, Bingyi Liu, Libing Wu and Victor Lee. A Hierarchical Architecture for the Future Internet of Vehicles. IEEE Communications Magazine, volume 57, issue 7, pp. 41-47, July 2019. [SCI] 影响因子: 10.356 (2018), 12.091 (5-year) (JCR一区)

[57] Junhua Wang, Kai Liu*, Ke Xiao, Xiumin Wang, Qingwen Han and Victor Lee. Delay-constrained Routing via Heterogeneous Vehicular Communications in Software Defined BusNet. IEEE Transactions on Vehicular Technology, volume 68, issue 6, pp. 5957-5970, June 2019. [SCI] 影响因子: 5.339 (2018), 4.864 (5-year) (JCR一区)

[58] G. G. Md. Nawaz Ali, Kai Liu*, Victor C.S. Lee, Peter H.J. Chong, Yong Liang Guan and Jun Chen.Towards Efficient and Scalable Implementation for Coding-based On-demand Data Broadcast. Computer Networks, volume 154, pp. 88-104, May 2019. [SCI] 影响因子: 3.030 (2018), 2.989 (5-year)

[59] Penglin Dai, Kai Liu*, Xiao Wu, Zhaofei Yu, Huanlai Xing and Victor C.S. Lee. Cooperative Temporal Data Dissemination in SDN-based Heterogeneous Vehicular Networks. IEEE Internet of Things Journal, volume 6, issue 1, pp. 72-83, February 2019. [SCI] 影响因子: 9.515 (2018), 11.216 (5-year) (JCR一区)

[60] Penglin Dai, Kai Liu*, Liang Feng, Haijun Zhang, Victor Lee, Sang Son and Xiao Wu. Temporal Information Services in Large-Scale Vehicular Networks through Evolutionary Multi-objective Optimization. IEEE Transactions on Intelligent Transportation Systems, volume 20, issue 1, pp. 218-231, January 2019. [SCI] 影响因子: 5.744 (2018), 6.064 (5-year) (JCR一区)

[61] Kai Liu*, Liang Feng, Penglin Dai, Victor Lee, Sang Son and Jiannong Cao. Coding-assisted Broadcast Scheduling via Memetic Computing in SDN-based Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, volume 19, issue 8, pp. 2420-2431, August 2018. [SCI] 影响因子: 4.051 (2018), 4.713 (5-year) (JCR一区)

[62] Xuanfan Shen, Yong Liao, Xuewu Dai, Ming Zhao, Kai Liu and Dan Wang. Joint Channel Estimation and Decoding Design for 5G-enabled V2V Channel. China Communications, volume 15, issue 7, pp. 39-46, July 2018. [SCI] 影响因子: 1.514 (2017), 1.103 (5-year)

[63] Penglin Dai, Kai Liu*, Xiao Wu, Yong Liao, Victor C.S. Lee and Sang H. Son. Bandwidth Efficiency and Service Adaptiveness Oriented Data Dissemination in Heterogeneous Vehicular Networks. IEEE Transactions on Vehicular Technology, volume 67, issue 7, pp. 6585-6598, July 2018. [SCI] 影响因子: 4.432 (2017), 4.275 (5-year) (JCR一区)

[64] Wendi Nie, Victor C.S. Lee, Dusit Niyato, Yaoxin Duan, Kai Liu* and Sarana Nutanong. A Quality-oriented Data Collection Scheme in Vehicular Sensor Networks. IEEE Transactions on Vehicular Technology, volume 67, issue 7, pp. 5570-5584, July 2018. [SCI] 影响因子: 4.432 (2017), 4.275 (5-year) (JCR一区)

[65] Junhua Wang, Kai Liu*, Ke Xiao, Chao Chen, Weiwei Wu, Victor Lee and Sang Son. Dynamic Clustering and Cooperative Scheduling for Vehicle-to-Vehicle Communication in Bidirectional Road Scenarios. IEEE Transactions on Intelligent Transportation Systems, volume 19, issue 6, pp. 1913-1924, June 2018. [SCI] 影响因子: 4.051 (2017), 4.713 (5-year) (JCR一区)

[66] Kai Liu*, Hao Zhang, Joseph Ng, Yusheng Xia, Liang Feng, Victor Lee and Sang Son. Towards Low Overhead Fingerprint-based Indoor Localization via Transfer Learning: Design, Implementation and Evaluation. IEEE Transactions on Industrial Informatics, volume 14, issue 3, pp. 898-908, March 2018. [SCI] 影响因子: 6.764 (2016), 7.538 (5-year) (JCR一区)

[67] Houling Ji, Victor Lee, Chi-Yin Chow, Kai Liu* and Guoqing Wu. Coding-based Cooperative Caching in On-demand Data Broadcast Environments. Information Sciences, volume 385, pp.138-156, 2017. [SCI] 影响因子: 4.832 (2016), 4.732(5-year) (JCR一区)

[68] Chao Chen*, Xia Chen, Leye Wang, Xiaojuan Ma, Zhu Wang, Kai Liu, Bin Guo and Zhen Zhou. MA-SSR: A Memetic Algorithm for Skyline Scenic Routes Planning Leveraging Heterogeneous User-generated Digital Footprints. IEEE Transactions on Vehicular Technology, volume 66,issue 7, pp. 5723-5736, July 2017. [SCI] 影响因子: 4.066 (2016), 4.057 (5-year) (JCR一区)

[69] Jun Chen, Victor Lee, Kai Liu* and Jianjun Li. Efficient Cache Management for Network Coding Assisted Data Broadcast. IEEE Transactions on Vehicular Technology, volume 66, issue 4, pp. 3361-3375, April 2017. [SCI] 影响因子: 4.066 (2016), 4.057 (5-year) (JCR一区)

[70] Weiwei Wu*, Jianping Wang, Minming Li, Kai Liu, Shan Feng, and Junzhou Luo. Energy-efficient Transmission with Data Sharing in Participatory Sensing Systems. IEEE Journal on Selected Areas in Communications, volume 34, no. 12, pp. 4048–4062, December 2016. [SCI] 影响因子: 8.085 (2016), 7.620 (5-year) (JCR一区)

[71] Penglin Dai, Kai Liu*, Liang Feng, Qingfeng Zhuge, Victor Lee and Sang Son. Adaptive Scheduling for Real-time and Temporal Information Services in Vehicular Networks. Transportation Research Part C: Emerging Technologies, volume 71, pp.313-332, October 2016. [SCI] 影响因子: 3.805 (2016), 4.334 (5-year) (JCR一区)

[72] Penglin Dai, Kai Liu*, Qingfeng Zhuge, Edwin Sha, Victor Lee and Sang Son. Quality of Experience Oriented Autonomous Intersection Control in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, volume 17, issue 7, pp.1956-1967, July 2016. [SCI] 影响因子: 3.724 (2016), 4.467 (5-year) (JCR一区)

[73] Kai Liu*, Joseph Ng, Junhua Wang, Victor Lee, Weiwei Wu and Sang Son. Network Coding Assisted Data Dissemination via Cooperative Vehicle-to-Vehicle/-Infrastructure Communications. IEEE Transactions on Intelligent Transportation Systems, volume 17, issue 6, pp.1509-1520, June 2016. [SCI] 影响因子: 3.724 (2016), 4.467 (5-year) (JCR一区)

[74] Kai Liu*, Joseph Ng, Victor Lee, Sang Son and Ivan Stojmenovic. Cooperative Data Scheduling in Hybrid Vehicular Networks: VANET as a Software Defined Network. IEEE/ACM Transactions on Networking, volume 24, issue 3, pp. 1759-1773, June 2016. [SCI] 影响因子: 3.376 (2016), 4.011 (5-year) (JCR一区)

[75] G. G. Md. Nawaz Ali, Victor Lee, Edward Chan, Minming Li, Kai Liu*, Jingsong Lv and Jun Chen. Admission Control based Multi-channel Data Broadcasting for Real-time Multi-item Queries. IEEE Transactions on Broadcasting, volume 60, no 4, pp. 589-605, December 2014. [SCI] 影响因子: 2.625 (2013), 2.178 (5-year) (JCR一区)

[76] Kai Liu, Victor Lee, Joseph Ng, Jun Chen* and Sang Son. Temporal Data Dissemination in Vehicular Cyber-Physical Systems. IEEE Transactions on Intelligent Transportation Systems, volume 15, no 6, pp. 2419-2431, December 2014. [SCI] 影响因子: 3.064 (2012), 3.263 (5-year) (JCR一区)

[77] Kai Liu, Victor Lee, Joseph Ng, Sang Son and Edwin Sha*. Scheduling Temporal Data with Dynamic Snapshot Consistency Requirement in Vehicular Cyber-Physical Systems. ACM Transactions on Embedded Computing Systems, volume 13, no. 5s, article 163, September 2014. [SCI] 影响因子: 0.680 (2013), 0.967 (5-year)

[78] Kai Liu*, Hock Beng Lim, Emilio Frazzoli, Houling Ji and Victor Lee. Improving Positioning Accuracy Using GPS Pseudorange Measurements for Cooperative Vehicular Localization. IEEE Transactions on Vehicular Technology, volume 63, no. 6, pp. 2544-2556, July 2014. [SCI] 影响因子: 2.642 (2013), 2.667 (5-year) (JCR一区)

[79] Jun Chen*, Victor Lee, Kai Liu, G. G. Md. Nawaz Ali and Edward Chan. Efficient Processing of Requests with Network Coding in On-demand Data Broadcast Environments. Information Sciences, volume 232, pp. 27-43, May 2013. [SCI] 影响因子: 3.893 (2013), 3.969 (5-year) (JCR一区)

[80] Kai Liu*, Edward Chan, Victor Lee, Krasimira Kapitanova and Sang Son. Design and Evaluation of Token-based Reservation for a Roadway System. Transportation Research Part C: Emerging Technologies, volume 26, pp. 184-202, January 2013. [SCI] 影响因子: 2.820 (2013), 3.118 (5-year) (JCR一区)

[81] Kai Liu* and Victor Lee. Adaptive Data Dissemination for Time-constrained Messages in Dynamic Vehicular Networks. Transportation Research Part C: Emerging Technologies, volume 21, issue 1, pp. 214-229, April 2012. [SCI] 影响因子: 2.006 (2012), 2.433 (5-year) (JCR一区)

[82] Kai Liu and Victor Lee*. On-demand Broadcast for Multi-item Requests in a Multiple Channel Mobile Environment. Information Sciences, volume 180, issue 22, pp. 4336-4352, November 2010. [SCI] 影响因子:3.291 (2009), 3.089 (5-year) (JCR一区)

[83] Victor Lee* and Kai Liu. Scheduling Time-Critical Requests for Multiple Data Objects in On-Demand Broadcast. Concurrency and Computation: Practice and Experience, volume 22, issue 15, pp. 2124-2143, October 2010. [SCI] 影响因子: 1.791 (2008), 1.322 (5-year)

[84] Jun Chen, Victor Lee* and Kai Liu. On the Performance of Real-time Multi-item Request Scheduling in Data Broadcast Environments. Journal of Systems and Software, volume 83, issue 8, pp. 1337-1345, August 2010. [SCI] 影响因子:1.293 (2010), 1.293 (5-year)

[85] Kai Liu and Victor Lee*. Performance Analysis of Data Scheduling Algorithms for Multi-item Requests in Multi-channel Broadcast Environments. International Journal of Communication Systems, volume 23, issue 4, pp. 529-542, April 2010. [SCI] 影响因子: 0.394 (2008), 0.421 (5-year)

[86] Kai Liu and Victor Lee*. A Conflict Avoidance Data Allocation Algorithm in a Multi-channel Broadcast Environment. Journal of Networks, volume 5, no.3, pp. 343-350, March 2010.

[87] Kai Liu and Victor Lee*. Simulation Studies on Scheduling Requests for Multiple Data Items in On-demand Broadcast Environments. Performance Evaluation, volume 66, issue 7, pp. 368-379, July 2009. [SCI] 影响因子:1.524 (2008), 1.564 (5-year)

2. 会议论文

[1] Leida Zhang, Zhengda Lu, Kai Liu, and Yiqun Wang. SDFReg: Learning Signed Distance Functions for Point Cloud Registration. The 7th Chinese Conference on Pattern Recognition and Computer Vision (PRCV'24). Urumqi, China, July 18-20, 2024.

[2] Nan Gong, Guozhi Yan, Hao Zhang, Ke Xiao, Zuoxiu Yang, Chuzhao Li, and Kai Liu. Towards Efficient Federated Learning via Vehicle Selection and Resource Optimization in IoV. International Conference on Neural Computing for Advanced Applications (NCAA’24). Guilin, China, July 5-7, 2024.

[3] Sheng Yi, Hao Zhang, Feiyu Jin, Yiyang Hu, Rongzhen Li and Kai Liu. V2ICooper: Toward Vehicle-to-Infrastructure Cooperative Perception with Spatiotemporal Asynchronous Fusion. International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA’24). Qingdao, China, June 21-23, 2024.

[4] Minxuan Huang, Hualing Ren, Chuzhao Li, Yixin Xiong, Zhibo Qiu, Qiaoling Xiong, and Kai Liu. Toward Low Overhead and Real-time Multi-vehicle Collaborative Perception via V2V Communication. International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA’24). Qingdao, China, June 21-23, 2024.

[5] Fei Wang, Penglin Dai, Chuzhao Li, Zhangjie Meng and Kai Liu. Towards Communication-Efficient Collaborative Perception: Harnessing Channel-Spatial Attention and Knowledge Distillation. International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA’24). Qingdao, China, June 21-23, 2024.

[6] Luyao Jiang, Kai Liu, Chunhui Liu, Hualing Ren, Guozhi Yan, Feiyu Jin and Songtao Guo. LiDAR based Cooperative Sensing in Vehicular Edge Computing. IEEE International Conference on Mobility, Sensing and Networking (IEEE MSN’23). Nanjing, China, December 14-16, 2023.

[7] Fangming Guo, Xianlei Long, Kai Liu, Chao Chen, Haiyong Luo, Jianga Shang and Fuqiang Gu. Efficient and Accurate Indoor/Outdoor Detection with Deep spiking neural networks. IEEE Global Communications Conference: Selected Areas in Communications (IEEE GLOBECOM'23), Kuala Lumpur, Malaysia, December 4-8, 2023.

[8] Junyuan Wu, Xincao Xu, Chuzhao Li, Hao Zhang, Ke Xiao and Kai Liu. Quality-Cost Trade-off on Constructing Logical Views for Vehicular Cyber-Physical Systems: A Deep Reinforcement Learning Approach. IEEE International Symposium on Product Compliance Engineering-Asia (IEEE ISPCE-AS'23), Shanghai, China, November 3-5, 2023.

[9] Chengliang Zhong, Luyao Jiang, Guozhi Yan, Hualin Ren, Ke Xiao and Kai Liu. UAV Trajectory Planning for Data Collection in Internet of Vehicles: A Reinforcement Learning Approach. IEEE International Symposium on Product Compliance Engineering-Asia (IEEE ISPCE-AS'23), Shanghai, China, November 3-5, 2023.

[10] Hualing Ren, Kai Liu, Yantao Li, Penglin Dai, Ke Xiao. Cooperative Data Uploading and Task Offloading via Mar kov-Approximation in Heterogeneous Vehicular Networks. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC’23), Bilbao, Bizkaia, Spain, September 24-28, 2023.

[11] Guozhi Yan, Kai Liu, Junbo Hu, Feiyu Jin, Hao Zhang. A Fine-grained Vehicle Behavior Recognition Framework: Struct Segment Temporal Convolutional Network. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC’23), Bilbao, Bizkaia, Spain, September 24-28, 2023.

[12] Guozhi Yan, Chunhui Liu, Kai Liu. ASPM: Reliability-oriented DNN Inference Partition and Offloading in Vehicular Edge Computing. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC’23), Bilbao, Bizkaia, Spain, September 24-28, 2023.

[13] Yangkai Zhou, Hualing Ren, Ke Xiao and Kai Liu. Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks. International Conference on Neural Computing and Applications (NCAA’23), Hefei, China, July 7-9, 2023.

[14] Hao Jiang, Penglin Dai, Kai Liu, Feiyu Jin, Hualing Ren, Songtao Guo. Traffic Event Augmentation via Vehicular Edge Computing: A Vehicle ReID based Solution. IEEE International Conference on Mobility, Sensing and Networking (IEEE MSN’22). Guangzhou, China. December 14-16, 2022.

[15] Sheng Yi, Hao Zhang, LuyaoJiang, Yangkai Zhou, Ke Xiao and Kai Liu.Towards Efficient and Robust Night-time Vehicle Flow Monitoring via Lidar-based Detection. IEEE International Symposium on Product Compliance Engineering-Asia (IEEE ISPCE-AS'22), Guangzhou, China, November 4-6, 2022.

[16] Junbo Hu, Kai Liu, Feiyu Jin, Guozhi Yan, Hao Zhang, Songtao Guo and Min Hu. Effective Vehicle Lane-Change Sensing using Onboard Smartphone based on Temporal Convolutional Network. Proc. of the 22nd International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP'22), Copenhagen, Denmark, October 10-12, 2022.

[17] Xincao Xu, Kai Liu, Qisen Zhang, Hao Jiang, Ke Xiao, Jiangtao Luo. Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems. IEEE 25th International Conference on Intelligent Transportation Systems (ITSC'22), Macau, China, October 8-12, 2022.

[18] Hualing Ren, Kai Liu, Feiyu Jin, Chunhui Liu, Yantao Li, Penglin Dai. Dependency-aware Task Offloading via End-Edge-Cloud Cooperation in Heterogeneous Vehicular Networks. IEEE 25th International Conference on Intelligent Transportation Systems (ITSC'22), Macau, China, October 8-12, 2022.

[19] Feiyu Jin, Kai Liu, Junbo Hu, Fuqiang Gu, Victor C.S. Lee, Joseph Kee-Yin Ng. Effective Vehicle Tracking in Dynamic Indoor Parking Area based on Hidden Markov Model and Online Learning. IEEE 25th International Conference on Intelligent Transportation Systems (ITSC'22), Macau, China, October 8-12, 2022.

[20] Qisen Zhang, Kai Liu, Luyao Jiang, Chengliang Zhong, Liang Feng, Hao Zhang and Ke Xiao. UAV-assisted Blind Area Pedestrian Detection via Terminal-Edge-Cloud Cooperation in VANETs. International Conference on Neural Computing and Applications (NCAA'22), Jinan, China, July 8-10, 2022. (最佳论文奖)

[21] Xuhui Wang, Xin Deng, Hao Zhang, Kai Liu and Penglin Dai. LCSW: A Novel Indoor Localization System based on CNN-SVM Model with WKNN in Wi-Fi Environments. International Conference on Neural Computing and Applications (NCAA'22), Jinan, China, July 8-10, 2022.

[22] Dong Wang, Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Songtao Guo. Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing. IEEE Global Communications Conference: Mobile and Wireless Networks (IEEE Globecom'21), Madrid, Spain, December 7-11, 2021.

[23] Jialai Liu, Kai Liu, Feiyu Jin, Dong Wang, Guozhi Yan and Ke Xiao. An Efficient CSI-based Pedestrian Monitoring Approach via Single Pair of WiFi Transceivers. International Conference on Neural Computing for Advanced Applications (NCAA'21), Guangzhou, China, August 27-30, 2021.

[24] Dong Li, Kai Liu, Feiyu Jin, Weiwei Wu, Xianlong Jiao, and Songtao Guo. Adaptive Uplink/Downlink Bandwidth Allocation for Dual Deadline Information Services in Vehicular Networks. The 16th International Conference on Wireless Algorithms, Systems, and Applications (WASA'21), Nanjing, China, June 25-27, 2021.

[25] Chunhui Liu, Kai Liu, Xincao Xu, Hualing Ren, Feiyu Jin and Songtao Guo. Real-time Task Offloading for Data and Computation Intensive Services in Vehicular Fog Computing Environments. IEEE International Conference on Mobility, Sensing and Networking (IEEE MSN'20), Tokyo, Japan, December 17-19, 2020.

[26] Lang Zhang, Hao Zhang, Chunhui Liu and Kai Liu. A Secure Data Request and Sharing Model Based on Consortium Blockchain in Vehicular Edge Computing Environment. IEEE International Symposium on Product Compliance Engineering-Asia (IEEE ISPCE-CN'20), Chongqing, China, November 6-8, 2020.

[27] Lingyu Huang, Liang Feng, Handing Wang, Yaqing Hou, Kai Liu and Chao Chen. A Preliminary Study of Improving Evolutionary Multiobjective Optimization via Knowledge Transfer from Singleobjective Problems. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC'20), Toronto, Canada, October 11-14, 2020.

[28] Hualing Ren, Kai Liu, Penglin Dai, Yantao Li, Ruitao Xie and Songtao Guo. Adaptive Task Scheduling via End-Edge-Cloud Cooperation in Vehicular Networks. The 15th International Conference on Wireless Algorithms, Systems, and Applications (WASA'20), Qingdao, China, September 13-15, 2020.

[29] Huilin Jie, Kai Liu, Hao Zhang, Ruitao Xie, Weiwei Wu and Songtao Guo. AODC: Automatic Offline Database Construction for Indoor Localization in a Hybrid UWB/Wi-Fi Environment. IEEE/CIC International Conference on Communications in China (IEEE/CIC ICCC'20), Chongqing, China, August 9-11, 2020.

[30] Song Xie, Jingjing Cao, Zhou Wu, Kai Liu, Xiaohui Tao, Haoran Xie. Sentiment Analysis of Chinese E-Commerce Reviews based on Bert. IEEE International Conference on Industrial Informatics (IEEE INDIN'20), Warwick, United Kingdom, July 20-23, 2020.

[31] Yi Zhou, Kai Liu, Xincao Xu, Chunhui Liu, Liang Feng and Chao Chen. Multi-period Distributed Delay-sensitive Tasks Offloading in a Two-layer Vehicular Fog Computing Architecture. International Conference on Neural Computing and Applications (NCAA'20), Shenzhen, China, July 3-6, 2020.

[32] Wei Zhou, Liang Feng, Zexuan Zhu, Kai Liu, Chao Chen and Zhou Wu. Tracking Moving Optima of Dynamic Multi-objective Problem via Prediction in Objective Space. IEEE Congress on Evolutionary Computation (IEEE WCCI-CEC'20), Glasgow, UK, July 19-24, 2020.

[33] Yi Zhou, Kai Liu, Xincao Xu, Songtao Guo, Zhou Wu, Victor Lee and Sang Son. Distributed Scheduling for Time-Critical Tasks in a Two-layer Vehicular Fog Computing Architecture. IEEE Consumer Communications and Networking Conference (IEEE CCNC'20), Las Vegas, USA, January 11-14, 2020.

[34] Chunhui Liu, Kai Liu, Hualing Ren, Yi Zhou, Liang Feng, Songtao Guo and Victor Lee. Enabling Safety-Critical and Computation-Intensive IoV Applications via Vehicular Fog Computing. The 1st International Workshop on Edge Computing and Artificial Intelligence based Sensor-Cloud System (ECAISS'19), Hong Kong, December 11-13, 2019.

[35] Penlin Dai, Kai Liu, Xiao Wu, Huanlai Xing, Jing Xu and Victor Lee. Joint Resource Optimization for Adaptive Multimedia Services in MEC-based Vehicular Networks. IEEE Global Communications Conference: Mobile and Wireless Networks (IEEE Globecom'19), Waikoloa, HI, USA, December, 9-13, 2019.

[36] Hao Zhang, Kai Liu, Qingxia Shang, Liang Feng, Chao Chen, Zhou Wu and Songtao Guo. Dual-band Wi-Fi based Indoor Localization via Stacked Denosing Autoencoder. IEEE Global Communications Conference: Mobile and Wireless Networks (IEEE Globecom'19), Waikoloa, HI, USA, December, 9-13, 2019.

[37] Huilin Jie, Hao Zhang, Kai Liu, Feiyu Jin, Chao Chen and Chaocan Xiang. A Fast Offline Database Construction Mechanism for Wi-Fi Fingerprint Based Localization Using Ultra-Wideband Technology. China Wireless Sensor Networks (CWSN'19), Chongqing, China, October 12-14, 2019.

[38] Wendi Nie, Yaoxin Duan, Victor C. S. Lee and Kai Liu. Supporting Data Stream Analytical Processing in Vehicular Sensor Networks. The 22nd IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC'19), Auckland, New Zealand, October 27-30, 2019.

[39] Qiaolin Pu, Joseph Ng and Kai Liu. Projection-induced Access Point Deployment for Fingerprint-based Indoor Positioning. The 16th IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC'19), Leicester, UK, August 19-23, 2019.

[40] Hao Li, Joseph Ng and Kai Liu. Handling Fingerprint Sparsity for Wi-Fi based Indoor Localization in Complex Environments. The 16th IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC'19), Leicester, UK, August 19-23, 2019.

[41] Lei Zhou, Liang Feng, Kai Liu and Chao Chen, Shaojiang Deng and Tao Xiang. Towards Effective Mutation for Knowledge Transfer in Multifactorial Differential Evolution. IEEE Congress on Evolutionary Computation (IEEE CEC'19), Wellington, New Zealand, June 10-13, 2019.

[42] Penglin Dai, Kai Liu, Xiao Wu, Huailai Xing, Zhaofei Yu and Victor Lee. A Learning Algorithm for Real-time Service in Vehicular Networks with Mobile-Edge Computing. IEEE International Conference on Communications (IEEE ICC'19), Shanghai, China, May 20-24, 2019.

[43] Feiyu Jin, Kai Liu, Hao Zhang, Weiwei Wu, Jingjing Cao and Xiangping Zhai. A Zero Site-Survey Overhead Indoor Tracking System using Particle Filter. IEEE International Conference on Communications (IEEE ICC'19), Shanghai, China, May 20-24, 2019.

[44] Penglin Dai, Kai Liu, Xiao Wu, Huailai Xing and Victor Lee. Multi-objective Optimization for Network Resource Management in Heterogeneous Vehicular Networks. IEEE Wireless Communications and Networking Conference (IEEE WCNC'19), Marrakech, Morocco, April 15-18, 2019.

[45] Ke Xiao, Kai Liu, Junhua Wang, Yanning Yang, Liang Feng, Jingjing Cao and Victor Lee. A Fog Computing Paradigm for Efficient Information Services in VANET.IEEE Wireless Communications and Networking Conference (IEEE WCNC'19), Marrakech, Morocco, April 15-18, 2019.

[46] Junhua Wang, Tingting Liu, Kai Liu, BaekGyu Kimz, Jiang Xie and Zhu Han. Computation Offloading over Fog and Cloud using Multi-Dimensional Multiple Knapsack Problem. IEEE Global Communications Conference: Wireless Communications (IEEE Globecom'18), Abu Dhabi, UAE, December 9-13, 2018.

[47] Xinchao Xu, Kai Liu, Ke Xiao, Hualing Ren, Liang Feng and Chao Chen. Design and Implementation of a Fog Computing Based Collision Warning System in VANETs. IEEE International Symposium on Productet Compliance Engineering-Asia (IEEE ISPCE-CN'18), Hong Kong/Shengzhen, December 5-7, 2018. (最佳论文奖)

[48] Penglin Dai, Kai Liu, Ke Xiao, Junhua Wang, Zhaofei Yu and Huanlai Xing. An Adaptive Task Assignment Scheme for Data Service in Heterogeneous Vehicular Networks. The 13th IEEE International Conference on Networking, Architecture, and Storage (IEEE NAS'18), Chongqing, China, October 11-14, 2018.

[49] Hao Zhang, Kai Liu, Feiyu Jin, Liang Feng, Chao Chen, Chen Zhan and Jianjun Li. An Annulus Local Search based Localization(ALSL) Algorithm in Indoor Wi-Fi Environments. The 15th IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC'18), Guangzhou, China, October 8-12, 2018.

[50] Hao Zhang, Yusheng Xia, Kai Liu, Feiyu Jin, Chao Chen and Yong Liao. A Kalman Filter based Indoor Tracking System via Joint Wi-Fi/PDR Localization. The 2018 International Workshop on Evolutionary Computation and Its Applications (ECIA'18), Guangzhou, China, October 8-12, 2018.

[51] Xuanfan Shen, Yong Liao, Xuewu Dai, Daotong Li and Kai Liu. BEM-based EKF-RTSS Channel Estimation for Non-stationary Doubly-selective Channel. The 7th IEEE/CIC International Conference on Communications in China (IEEE/CIC ICCC'18), Beijing, China, August 16-18, 2018.

[52] Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu and Kai Liu. A Preliminary Study of Adaptive Indicator based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding.IEEE Congress on Evolutionary Computation (IEEE WCCI-CEC'18), Rio de Janeiro, Brazil, July 8-13, 2018.

[53] Ruoting Ma, Lei Zhou, Kai Liu, Chao Chen and Xuefeng Xie. A Preliminary Study of Autoencoding Evolutionary Search with Selection of Problem Domains. IEEE Congress on Evolutionary Computation (IEEE WCCI–CEC'18), Rio de Janeiro, Brazil, July 8-13, 2018.

[54] Yan Ding, Chao Chen, Xuefeng Xie, Kai Liu and Liang Feng. An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles. Proc. of the 15th Annual IEEE International Conference on Sensing, Communication and Networking (IEEE SECON'18-Demo), Hong Kong, June 11-13, 2018.

[55] Feiyu Jin, Kai Liu, Hao Zhang, Liang Feng, Chao Chen and Weiwei Wu. Towards Scalable Indoor Localization with Particle Filter and Wi-Fi Fingerprint. Proc. of the 15th Annual IEEE International Conference on Sensing, Communication and Networking (IEEE SECON'18-Demo), Hong Kong, June 11-13, 2018.

[56] Yong Liao, Xuanfan Shen, Xuewu Dai, Ming Zhao, Kai Liu, Daotong Li and Xin Zhou. EKF-Based Joint Channel Estimation and Decoding Design for Non-stationary OFDM Channel. IEEE Global Communications Conference: Wireless Communications (IEEE Globecom'17), Singapore, December 4-8, 2017.

[57] Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Victor Lee and Sang Son. A Memetic Algorithm for Cache-aided Data Broadcast with Network Coding in Vehicular Networks. IEEE Global Communications Conference: Mobile and Wireless Networks (IEEE Globecom'17), Singapore, December 4-8, 2017.

[58] L. Zhou,L. Feng, A. Gupta, Y.-S. Ong, Kai Liu, C. Chen, E. Sha, B. Yang and B. W. Yan. Solving Dynamic Vehicle Routing Problem via Evolutionary Search with Learning Capability.IEEE Congress on Evolutionary Computation (IEEE CEC'17), San Sebastian, Spain, June 5-8, 2017.

[59] Junhua Wang, Kai Liu, Penglin Dai, Edwin Sha, Liang Feng, Chao Chen and Chunhua Xiao. Cooperative Information Services Based on Predictable Trajectories in Bus-VANETs.Proc. of the 18th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC'16), Sydney, Australia, December 12-14, 2016.

[60] Penglin Dai, Kai Liu, Liang Feng, Qingfeng Zhuge, Victor Lee and Sang Son. Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization.Proc. of the 41st IEEE Conference on Local Computer Networks (IEEE LCN'16), Dubai, UAE, November 7-10, 2016.

[61] Penglin Dai, Kai Liu, Qingfeng Zhuge, Edwin Sha, Victor Lee and Sang Son. A Convex Optimization Based Autonomous Intersection Control Strategy in Vehicular Cyber-Physical System.Proc. of the 13th IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC'16), Toulouse, France, July 18-21, 2016.

[62] Byungjin Ko, Kai Liu and Sang Son. Towards Efficient Data Services in Vehicular Networks via Cooperative Infrastructure-to-Vehicle and Vehicle-to-Vehicle Communications. Proc. of the 13th IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC'16), Toulouse, France, July 18-21, 2016.

[63] Zhengbin Ye, Liang Feng, Yew-Soon Ong, Kai Liu, Chao Chen, Edwin Sha and Chit Lin Su. A Preliminary Study on Distance Selection in Probabilistic Memetic Framework for Capacitated Arc Routing Problem.Proc. of the 2016 IEEE World Congress on Computational Intelligence (IEEE WCCI-CEC'16), Vancouver, Canada, July 25-29, 2016.

[64] Houling Ji, Victor Lee, Chi-Yin Chow, Kai Liu and Guoqing Wu. Coding-based Cooperative Caching in Data Broadcast Environments.Proc. of the 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP'15), Zhangjiajie, China, November 18-20, 2015. (最佳论文奖）

[65] Junhua Wang, Kai Liu, Edwin Sha, Victor Lee and Sang Son. An Efficient Cluster-based Data Sharing Algorithm for Bidirectional Road Scenario in Vehicular Ad-hoc Networks. Proc. of the 15th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP'15), Zhangjiajie, China, November 18-20, 2015.

[66] Penglin Dai, Kai Liu, Qingfeng Zhuge, Edwin Sha, Victor Lee and Sang H. Son. Vehicle Assisted Data Update for Temporal Information Service in Vehicular Networks.Proc. of the 18th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC'15), Canary Islands, Spain, September 15-18, 2015.

[67] Weiwei Wu, Jianping Wang, Minming Li, Kai Liu and Junzhou Luo. Energy-efficient Transmission with Data Sharing.Proc. of the 34th Annual IEEE International Conference on Computer Communications (IEEE INFOCOM'15), Hong Kong, 26 April – 1 May, 2015.

[68] Yaoxing Duan, Wendi Nie, Kai Liu Qingfeng Zhuge, Edwin Sha and Victor Lee. Joint Convergecast and Power Allocation in Wireless Sensor Networks.Proc. of the 15th International Conference on Parallel and Distributed Computing, Applications and Technologies (IEEE PDCAT'14), Hong Kong, December 9-11, 2014.

[69] Kai Liu, Victor Lee, Joseph Ng, Weiwei Wu and Sang Son. Towards Scalable, Fair and Robust Data Dissemination via Cooperative Vehicular Communications.Proc. of the 20th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (IEEE RTCSA'14), Chongqing, China, August 20-22, 2014.

[70] G. G. Md. Nawaz Ali, Yuxuan Meng, Victor Lee, Kai Liu and Edward Chan. Performance Improvement in Applying Network Coding to On-demand Scheduling Algorithms for Broadcasts in Wireless Networks.Proc. of the 9th International Multi-Conference on Computing in the Global Information Technology (ICCGI'14), Seville, Spain, June 22-26, 2014.

[71] Kai Liu, Victor Lee, Joseph Ng and Sang Son. Scheduling Temporal Data for Real-time Requests in Roadside-to-Vehicle Communication.Proc. of the 19th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (IEEE RTCSA'13), Taipei, Taiwan, August 19-21, 2013.

[72] Hock Beng Lim, Ken Lip Ong, Jithendrian Sundaravaradan, Fei Xue, Kai Liu and Wenqiang Wang. Scaling Smart Spaces: Concept and Exploration.Proc. of the 10th Annual IEEE Consumer Communications and Networking Conference (IEEE CCNC'13-Demo), Las Vegas, Nevada, USA, January 11-14, 2013.

[73] Kai Liu and Hock Beng Lim. Positioning Accuracy Improvement via Distributed Location Estimate in Cooperative Vehicular Networks.Proc. of the 15th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC'12), Anchorage, AK, USA, September 16-19, 2012.

[74] Daiqin Yang, Fang Zhao, Kai Liu, Hock Beng Lim, Emilio Frazzoli and Daniela Rus. A GPS Pseudorange Based Cooperative Vehicular Distance Measurement Technique.Proc. of the 75th IEEE Vehicular Technology Conference (IEEE VTC'12-Spring), Yokohama, Japan, May 6-9, 2012.

[75] Kai Liu, Sang Son, Victor Lee and Krasimira Kapitanova. A Token-based Admission Control and Request Scheduling in Lane Reservation Systems.Proc. of the 14th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC'11), Washington DC, USA, October 5-7, 2011.

[76] Kai Liu and Victor Lee. RSU-based Real-time Data Access in Dynamic Vehicular Networks.Proc. of the 13th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC'10), Madeira Island, Portugal, September 19-22, 2010.

[77] Jun Chen, Kai Liu and Victor C. S. Lee. Analysis of Data Scheduling Algorithms in Supporting Real–time Multi-item Requests in On-demand Broadcast Environments.Proc. of the 8th International Workshop on Performance Modeling, Evaluation, and Optimization of Ubiquitous Computing and Networked Systems (IEEE PMEO-UCNS'09), Rome, Italy, May 25-29, 2009.

[78] Kai Liu and Victor Lee. COS: Client Oriented Scheduling for Multi-channel On-demand Broadcast. Proc. of the 3rd International Conference on Ubiquitous Information Management and Communication (ACM ICUIMC'09), SKKU, Suwon, Korea, January 15-16, 2009.

[79] Kai Liu, Victor Lee and Karl Leung. Data Scheduling for Multi-item Requests in Multi–channel On-demand Broadcast Environments.Proc. of the 7th ACM International Workshop on Data Engineering for Wireless and Mobile Access (ACM MobiDE'08), Vancouver, Canada, June 8-13, 2008.

3. 中文论文

[1] 钟成亮, 刘凯. 面向车联网高效数据收集的无人机轨迹规划策略研究. 第十七届中国物联网学术会议(CWSN’23), 中国大连, 2023/11/13-11/15.

[2] 王旭辉,张浩,刘凯,戴朋林. 基于卷积神经网络和K自适应邻点搜寻的室内实时定位系统. 第十六届中国物联网学术会议(CWSN’22), 中国广州, 2022/11/04-11/07.

[3] 高聪明*, 石亮, 刘凯, 薛春, &舒继武 . 闪存固态硬盘结构与技术研究[J]. 计算机研究与发展, 2021, 58(7), 1518-1532.

[4] 许新操, 刘凯*, 刘春晖, 蒋豪, 郭松涛, & 吴巍炜. 基于势博弈的车载边缘计算信道分配方法[J]. 电子学报, 2021, 49(5), 851-860.

[5] 陈善静, 向朝参*, 康青, 吴韬, 刘凯, 冯亮, & 邓涛. 基于多源遥感时空谱特征融合的滑坡灾害检测方法[J]. 计算机研究与发展, 2020, 57(9), 1877-1887.

[6] 许新操, 周易, 刘凯, 向朝参, 李艳涛, &郭松涛. 车载雾计算环境中基于势博弈的分布式信道分配[C].第十四届中国物联网学术会议(CWSN’20), 中国敦煌, 2020/9/18-9/21. (最佳论文候选)

[7] 刘春晖, 刘凯, 陈梦良, 冯亮, 伍洲, & 郭松涛. 基于雾计算的交通异常检测预警系统[C]. 第十三届中国物联网学术会议(CWSN’19), 中国重庆, 2019/10/12-10/14. (优秀论文)

[8] 夏宇声, 刘凯*, 张浩, 金飞宇, & 郑林江. 基于多边限定的室内定位方法设计与系统实现[J]. 计算机工程与应用, 2019, 55(11), 250-256.

[9] 沈轩帆, 廖勇*, 代学武, 刘凯, & 王丹. 基于 BEM 的非平稳双选信道估计方法[J]. 电子学报, 2018, 47(1), 204-210.

[10] 陈霞, 陈超*, & 刘凯. 多源异构众包数据风景旅行路线规划[J]. 浙江大学学报: 工学版, 2016, 50(6), 1183-1188.

[11] 刘丹*, 刘伟, 左朝树, & 刘凯. SEC-Tree 的安全 WSNS 路由协议[J]. 电子科技大学学报, 2008, 37(6), 913-916.

4．专著

[1] Kai Liu, Penglin Dai, Victor C. S. Lee, Joseph Kee-Yin Ng and Sang Hyuk Son. Toward Connected, Cooperative and Intelligent IoV——Frontier Technologies and Applications, Springer Nature, 327 pages, ISBN 978-981-99-9646-9, March, 2024.

5.著作章节

[1] Kai Liu, Victor C.S. Lee, Sang Son, Joseph K.Y. Ng, Jiannong Cao and Hongwei Zhang. Chapter 3: Cooperative Data Scheduling via V2V/V2I Communications in Software Defined Vehicular Networks. Vehicle-to-Vehicle and Vehicle-to-Infrastructure Communications: A Technical Approach, Taylor & Francis LLC, CRC Press, LCCN 2017044927 | ISBN 9781138706835, 346 Pages, March, 2018.

[2] Xiao Zhang, Enrique Onieva, Victor C.S. Lee and Kai Liu. Chapter 10: Congestion Prediction by means of Fuzzy Logic and Genetic Algorithms. Intelligent Transport Systems: Technologies and Applications, Wiley，ISBN: 978-1-118-89478-1, 368 pages, Nov. 2015.

授权专利

[1] 刘凯，夏宇声，张浩，冯亮，石欣。一种室内定位系统快速搭建方法。发明专利（ZL201611118893.5），2020.02.21.

[2] 刘凯，金飞宇，张浩，夏宇声，王磊。一种移动终端的室内定位方法。发明专利（ZL201810087210.7），2020.05.12.

[3] 刘家莱，刘凯。行人进出监测方法、装置、设备及计算机存储介质。发明专利（ZL202110267009.9），2021.05.25.

[4] 任华玲，刘凯，陈梦良，周易，许新操。一种基于雾计算的信息采集、计算、传输架构。发明专利（ZL201910146357.3），2021.06. 18.

[5] 刘凯，张浪，许新操，任华玲，周易。一种基于边缘计算的盲区车辆碰撞预警方法。发明专利（ZL201910418745.2），2021.08.03.

[6] 刘凯，张浪，盛伟。一种基于区块链技术的交通事故协同认证处理及溯源系统。发明专利（ZL201911255706.1），2022.04.15.

[7] 许新操，刘凯，李东。一种针对软件定义车联网的控制平面视图构建方法。发明专利（ZL202110591822.1），2022.10.11.

[8] 郭松涛，蒋秋岑，刘凯，冯亮，刘德芳。一种可充电移动边缘计算中能量-延迟平衡的动态任务分配方法。发明专利 (ZL201910598524.8) ，2022.11.22

专业服务

1. Associate Editor

[1] 2024.06-至今：IEEE Open Journal of the Computer Society, IF 5.9 (2022)

[2] 2024.07-至今：IEEE Transactions on Consumer Electronics, IF 4.3 (2022)

2. Guest Editor

[1] IEEE Transactions on Consumer Electronics, Special Issue on Edge Intelligence and Its Applications to Consumer Electronics, 2024

[2] Journal of Computer Research and Development, Special Issue on Cutting-edge Technologies for Intelligent Internet of Vehicles, 2023

[3] Sensors, Special Issue on Vehicle-to-Everything (V2X) Communication for Intelligent Transportation, 2022

[4] Neural Computing and Applications, Special Issue on Neural Computing for Advanced Applications, 2021

[5] ACM/Springer Mobile Networks &Applications (MONET) Special Issue on Machine Learning and Intelligent Communications, 2020

[6] IEEE Internet of Things Journal Special Issue on RRCPS: Reliable and Resilient Cyber-Physical Systems, 2019

3. Organizing Committee

[1] 2023 IEEE International Symposium on Product Compliance Engineering-Asia (TPC Co-Chair)

[2] 2023 International Conference on Neural Computing for Advanced Applications (TPC Co-Chair)

[3] 2022 IEEE International Symposium on Product Compliance Engineering-Asia (TPC Co-Chair)

[4] 2022 International Conference on Neural Computing for Advanced Applications (Publication Co-Chair)

[5] 2021 International Conference on Neural Computing for Advanced Applications (TPC Co-Chair)

[6] 2020 IEEE International Symposium on Product Compliance Engineering-Asia (TPC Co-Chair)

[7] 2020 International Conference on Neural Computing for Advanced Applications (Track Co-Chair)

[8] 2019 China Wireless Sensor Network Conference (Technical Program Co-Chair)

[9] 2019 IEEE International Conference on Ubiquitous Intelligence and Computing (Track Co-Chair)

[10] 2019 EAI International Conference on Machine Learning and Intelligent Communications (Web Chair)

[11] 2018 IEEE International Symposium on Product Compliance Engineering (TCP-Co-Chair)

[12] 2017 International Conference on Industrial Informatics, SS on Big Data Analysis and Diagnosis for Industrial Applications (Co-Organizer)

[13] 2016 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (Publication Chair)

[14] 2015 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (Publicity Co-Chair)

4. Program Committee Member

[1] CCF Annual Conference on Distributed and Parallel Computing Systems (CCFSys-DPCS’23).

[2] The 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom’23)

[3] IEEE Global Communications Conference (GLOBECOM’23)

[4] IEEE Global Communications Conference (GLOBECOM’22)

[5] The 21st International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP’21)

[6] The 2021 IEEE Global Communications Conference (GLOBECOM’21)

[7] The 36th ACM Symposium on Applied Computing — Cyber-Physical Systems Track (SAC’21 – CPS Track)

[8] The 2020 IEEE Global Communications Conference (GLOBECOM’20)

[9] The 35th ACM Symposium on Applied Computing — Cyber-Physical Systems Track (SAC’20 – CPS Track)

[10] The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom’20)

[11] The 5th International Symposium on Sensor-Cloud Systems (CSC’19)

[12] The 2019 IEEE Vehicular Networking Conference (VNC’19)

[13] The 2019 IEEE Global Communications Conference (GLOBECOM’19)

[14] The 17th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA’19)

[15] The 34th ACM Symposium on Applied Computing — Cyber-Physical Systems Track (SAC’19 – CPS Track)

[16] The 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC’18)

[17] The 33rd ACM Symposium on Applied Computing — Cyber-Physical Systems Track (SAC’18 – CPS Track)

[18] The 3rd International Symposium on Sensor-Cloud Systems (CSC’17)

[19] The 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC’17)

[20] The 32nd ACM Symposium on Applied Computing — Cyber-Physical Systems Track (SAC’17 – CPS Track)

[21] The 8th iCatse Conference on Information Science and Applications (ICISA’17)

[22] The 13th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC’16)

[23] The 12th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC’15)

[24] The 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP’15)

[25] The 21th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA’15)

[26] The 20th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA’14)

[27] The 2nd International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA’14)

[28] International Workshop on Embedded Multi-core Systems and Applications (IWMSA’14)

[29] The 15th IEEE International Conference on High Performance Computing and Communications (HPCC’13)

5. Journal Review

[1] IEEE Transactions on Intelligent Transportation Systems (TITS)

[2] IEEE Transactions on Vehicular Technology (TVT)

[3] IEEE Transactions on Green Communications and Networking (TGCN)

[4] IEEE Journal on Selected Areas in Communications (JSAC)

[5] IEEE Transactions on Industrial Informatics (TII)

[6] IEEE Transactions on Knowledge and Data Engineering (TKDE)

[7] IEEE Transactions on Communications (ToC)

[8] IEEE Transactions on Mobile Computing (TMC)

[9] IEEE Transactions on Computers (TC)

[10] ACM Transactions on Cyber Physical Systems (TCPS)

[11] ACM Transactions on Embedded Computing Systems (TECS)

[12] IEEE Transactions on Cybernetics

[13] IEEE Access

[14] Ad Hoc & Sensor Wireless Networks

[15] Pervasive and Mobile Computing

[16] Neural Computing and Applications

[17] EURASIP Journal on Wireless Communications and Networking

[18] International Journal of Distributed Sensor Networks

[19] Journal of Information Science and Engineering

[20] Journal of Convergence Information Technology

[21] International Journal on Advances in Information Sciences and Service Sciences

6. 标准

[1] 中国汽车标准化研究院、上海交通大学、清华大学、中汽研汽车检验中心（天津）、中国汽车工程研究院、重庆大学、中国软件评测中心、中汽智联，《汽车行业人工智能技术标准化发展倡议书》，全国汽车标准化技术委员会/国家技术标注创新基地（汽车），2024.07。

[2] 大湾区智慧城市群发展政策倡议专家小组成员、‘信息基础设施标准化’专家小组顾问团成员，2024。

7. 学会服务

[1] 2023-至今，中国通信学会（CIC）车联网委员会委员

[2] 2023-至今，亚太认知智能学会会员

[3] 2021-至今，中国计算机学会（CCF）高级会员

[4] 2020-至今，中国计算机学会（CCF）物联网专业委员会执行委员

[5] 2020-至今，中国计算机学会（CCF）网络与数据通信专业委员会执行委员

[6] 2019-至今，国际电气与电子工程师学会（IEEE）高级会员

[7] 2021，中国计算机大会（2021 China National Computer Congress, CNCC’21），AI时代的车联网技术及安全会议论坛，共同主席

学生培养

1. 指导学生获奖

[1] 2024中国高校计算机大赛-网络技术挑战赛西南赛区三等奖（易盛/黄敏轩/王飞/吴峻源，2022级硕士，熊巧灵，2024级硕士）

[2] 2024中国高校计算机大赛-网络技术挑战赛西南赛区三等奖（卓钊/胡奕扬/张涛/欧沛鑫，2023级硕士，易盛，2022级硕士）

[3] 2024开放原子开源大赛——面向RISC-V架构的AI开发框架构建与优化决赛三等奖（欧沛鑫，2023级硕士）

[4] 2023第五届全球校园人工智能算法精英大赛全国总决赛三等奖（易盛/王飞/吴峻源，2022级硕士）

[5] 2023中国高校计算机大赛-网络技术挑战赛总决赛三等奖（易盛/王飞，2022级硕士，钟成亮/蒋璐遥/周杨凯，2021级硕士）

[6] 2023中国高校计算机大赛-网络技术挑战赛西南赛区三等奖（易盛/黄敏轩/龚楠，2022级硕士）

[7] 2023（第14届）中国大学生服务外包创新创业大赛总决赛三等奖（易盛/黄敏轩，2022级硕士）

[8] 2022第十届大学生数字媒体科技作品及创意竞赛全国总决赛一等奖（易盛/杨作秀，2022级硕士）

[9] 2022 NCAA国际会议最佳论文奖 (张棋森，2020级硕士)

[10] 2021 重庆市优秀博士学位论文 (高聪明，2014级博士)

[11] 2021 重庆大学优秀博士学位论文 (高聪明，2014级博士)

[12] 2021 华为昇腾众智金质量奖——MindX SDK参考设计（王东，2020级硕士）

[13] 2021 华为昇腾众智金质量奖——TensorFlow模型开发（宴国志，2021级博士）

[14] 2020 ACM (重庆)优秀博士论文奖 (王俊华，2014级博士)

[15] 2020 (第六届)3S杯全国大学生物联网技术与应用“三创”大赛二等奖 (金飞宇，2020级博士；揭会林，2018级硕士；刘家莱，2019级硕士；胡峻菠，2020级硕士)

[16] 2020 NCAA国际会议最佳论文奖提名 (周易，2017级硕士)

[17] 2020 硕士研究生国家奖学金 (刘春晖，2019级硕士)

[18] 2019 中国物联网学术会议 (CWSN) 优秀论文奖 (刘春晖，2019级硕士)

[19] 2019 博士研究生国家奖学金 (张浩，2016级博士)

[20] 2019 届重庆大学优秀本科毕业设计 (刘春晖，2015级本科)

[21] 2019 (第12届)中国大学生计算机设计大赛(国家级)二等奖 (刘春晖，2015级本科；江林丽，2016级本科)

[22] 2019 中国大学生计算机设计大赛(重庆市级)二等奖 (刘春晖，2015级本科；江林丽，2016级本科)

[23] 2018 IEEE ISPCE-CN国际会议最佳论文奖 (许新操 2017级硕士)

[24] 2018 ACM(重庆)优秀博士论文奖 (戴朋林，2013级博士)

[25] 2018 (第11届)中国大学生计算机设计大赛(国家级)三等奖 (蒋博文，吴慧蕾，2017级本科)

[26] 2018 中国大学生计算机设计大赛(重庆市级)二等奖 (蒋博文，吴慧蕾，2017级本科)

2. 学生访问交流

[1] 2023.12，易盛，王飞，河海大学，南京

[2] 2023.11，黄敏轩，长沙智能驾驶研究院，长沙

[3] 2023.05，易盛，黄敏轩，江南大学，无锡

[4] 2023.06-09，周杨凯，快手科技有限公司，北京

[5] 2021.07，刘家莱、周杨凯，中科智云交流访问，成都

[6] 2019.08，陈梦良，Summer Research Experience Programme夏令营，香港浸会大学

[7] 2019.05，肖颗、张浩、许新操、陈梦良、周易、揭会林、任华玲，ACM中国图灵大会，成都

[8] 2019.05，张浩、金飞宇，同济大学交流访问，上海

[9] 2018.06，肖颗、张浩，第三届CCF YOCSEF重庆学术前沿研讨会，重庆万州

[10] 2018.06，陈梦良、许新操，同济大学交流访问，上海

[11] 2017.10，张浩、夏宇声，香港浸会大学交流访问，香港

[12] 2017.04，肖颗、张浩，CCF物联网专委会高端论坛，厦门

[13] 2017-2018，王俊华，美国休斯敦大学联合培养，休斯敦

[14] 2016.12，肖颗，武汉国家电网项目交流，武汉

[15] 2015.01，戴朋林、王俊华，韩国DGIST交流访问，大邱

3. 学生项目

[1] 2024年重庆市研究生科研创新项目（博士研究生），基于车联网边缘智能的城市智慧交通系统，CYB240068，2024.09-2026.06. (晏国志刘春晖熊巧灵胡奕扬张涛)

[2] 2024年重庆市研究生科研创新项目（硕士研究生）智能化辅助光纤制造预言家，CYS240006，2024.09-2025.06. (王飞，易盛，黄敏轩，龚楠，吴峻源

[3] 2024年重庆市研究生科研创新项目（硕士研究生），基于激光雷达的协同感知系统，CYS240088，2024.09-2025.06. (欧沛鑫，易盛，张涛，熊巧灵)

[4] 2023年重庆市研究生科研创新项目（博士研究生），面向车联网边缘智能的融合感知与任务卸载关键技术研究，CYB23044，2023.09-2025.06. (刘春晖，任华玲，晏国志，蒋璐遥，钟成亮)

[5] 2023年重庆市研究生科研创新项目（硕士研究生），基于智能算法的光纤制备辅助决策系统，CYS23080，2023.09-2024.04 (易盛，黄敏轩，龚楠)

4. 学生会议报告

姓名	会议名称	报告题目	会议时间	会议地点
龚楠	NCAA’24	Towards Efficient Federated Learning via Vehicle Selection and Resource Optimization in IoV	2024.07	中国桂林
易盛	WASA’24	V2ICooper: Toward Vehicle-to-Infrastructure Cooperative Perception with Spatiotemporal Asynchronous Fusion	2024.06	中国青岛
黄敏轩	WASA’24	Toward Low Overhead and Real-time Multi-vehicle Collaborative Perception via V2V Communication	2024.06	中国青岛
王飞	WASA’24	Towards Communication-Efficient Collaborative Perception: Harnessing Channel-Spatial Attention and Knowledge Distillation	2024.06	中国青岛
蒋璐瑶	IEEE MSN’23	LiDAR based Cooperative Sensing in Vehicular Edge Computing	2023.12	中国南京
钟成亮	CWSN’22	面向车联网高效数据收集的无人机轨迹规划策略研究	2023.11	中国大连
吴峻源	IEEE ISPCE-AS’23	Quality-Cost Trade-off on Constructing Logical Views for Vehicular Cyber-Physical Systems: A Deep Reinforcement Learning Approach	2023.11	中国上海
任华玲	IEEE ITSC’ 23	Cooperative Data Uploading and Task Offloading via Markov-Approximation in Heterogeneous Vehicular Networks	2023.09	西班牙毕尔巴鄂
晏国志	IEEE ITSC’ 23	ASPM: Reliability-oriented DNN Inference Partition and Offloading in Vehicular Edge Computing	2023.09	西班牙毕尔巴鄂
周杨凯	NCAA'23	Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks	2023.07	中国合肥
蒋豪	IEEE MSN'22	Traffic Event Augmentation via Vehicular Edge Computing: A Vehicle ReID based Solution	2022.12	中国广州（在线）
易盛	IEEE ISPCE-AS'22	Towards Efficient and Robust Night-time Vehicle Flow Monitoring via Lidar-based Detection	2022.11	中国广州（在线）
胡峻菠	ICA3PP'22	Effective Vehicle Lane-Change Sensing using Onboard Smartphone based on Temporal Convolutional Network	2022.10	丹麦哥本哈根（在线）
金飞宇	IEEE ITSC'22	Effective Vehicle Tracking in Dynamic Indoor Parking Area based on Hidden Markov Model and Online Learning	2022.09	中国澳门（在线）
任华玲	IEEE ITSC'22	Dependency-aware Task Offloading via End-Edge-Cloud Cooperation in Heterogeneous Vehicular Networks	2022.09	中国澳门（在线）
许新操	IEEE ITSC'22	Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems	2022.09	中国澳门（在线）
张棋森	NCAA'22	UAV-assisted Blind Area Pedestrian Detection via Terminal-Edge-Cloud Cooperation in VANETs	2022.07	中国济南（在线）
王东	IEEE Globecom'21	Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing	2021.12	西班牙马德里（在线）
刘家莱	NCAA'21	An Efficient CSI-based Pedestrian Monitoring Approach via Single Pair of WiFi Transceivers	2021.08	中国广州（在线）
李东	WASA'21	Adaptive Uplink/Downlink Bandwidth Allocation for Dual Deadline Information Services in Vehicular Networks	2021.05	中国南京
刘春晖	IEEE MSN'20	Real-time Task Offloading for Data and Computation Intensive Services in Vehicular Fog Computing Environments	2020.12	日本东京（在线）
张浪	IEEE ISPCE-CN'20	A Secure Data Request and Sharing Model Based on Consortium Blockchain in Vehicular Edge Computing Environment	2020.11	中国重庆（在线）
许新操	CWSN'20	基于势博弈的车载边缘计算信道分配方法	2020.09	中国敦煌
任华玲	WASA'20	Adaptive Task Scheduling via End-Edge-Cloud Cooperation in Vehicular Networks	2020.09	中国青岛（在线）
揭会林	IEEE/CIC ICCC'20	AODC: Automatic Offline Database Construction for Indoor Localization in a Hybrid UWB/Wi-Fi Environment	2020.08	中国重庆（在线）
周易	NCAA'20	Multi-period Distributed Delay-sensitive Tasks Offloading in a Two-layer Vehicular Fog Computing Architecture	2020.07	中国深圳（在线）
周易	IEEE CCNC'20	Distributed Scheduling for Time-Critical Tasks in aTwo-layer Vehicular Fog Computing Architecture	2020.01	美国拉斯维加斯
张浩	IEEE Globecom'19	Dual-band Wi-Fi based Indoor Localization via Stacked Denosing Autoencoder	2019.12	美国夏威夷
刘春晖	IEEE MSN'19	Enabling Safety-Critical and Computation-Intensive IoV Applications via Vehicular Fog Computing	2019.12	中国深圳
揭会林	CWSN'19	A Fast Offline Database Construction Mechanism for Wi-Fi Fingerprint Based Localization Using Ultra-Wideband Technology	2019.10	中国重庆
刘春晖	CWSN'19	基于雾计算的交通异常检测预警系统	2019.10	中国重庆
金飞宇	IEEE ICC'19	A Zero Site-Survey Overhead Indoor Tracking System using Particle Filter	2019.05	中国上海
肖颗	WCNC'19	A Fog Computing Paradigm for Efficient Information Services in VANET	2019.04	摩洛哥马拉喀什
张浩	IEEE UIC'18	An Annulus Local Search based Localization (ALSL) Algorithm in Indoor Wi-Fi Environments	2018.10	中国广州
张浩	ECIA'18	A Kalman Filter based Indoor Tracking System via Joint Wi-Fi/PDR Localization.	2018.10	中国广州
金飞宇	IEEE SECON'18	Towards Scalable Indoor Localization with Particle Filter and WiFi Fingerprint	2018.06	中国香港
王俊华	IEEE HPCC'16	Cooperative Information Services Based on Predictable Trajectories in Bus-VANETs	2016.12	澳大利亚悉尼
戴朋林	IEEE LCN'16	Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization	2016.11	阿联酋迪拜
戴朋林	IEEE UIC'16	A Convex Optimization Based Autonomous Intersection Control Strategy in Vehicular Cyber-Physical System	2016.07	法国图卢兹
王俊华	ICA3PP'15	An Efficient Cluster-based Data Sharing Algorithm for Bidirectional Road Scenario in Vehicular Ad-hoc Networks	2015.11	中国张家界

5. 毕业学生

博士研究生
姓名	论文题目	毕业时间	就业情况
任华玲	《基于车载端边云协同的任务卸载与资源分配关键技术研究》 Research on Key Technologies for Task Offloading and Resource Allocation based on Vehicular End-Edge-Cloud Cooperation	博士（2024届）	重庆邮电大学（青年教师）
金飞宇	《基于多源数据融合的车辆定位与轨迹预测关键技术研究》 Research on Key Technologies of Vehicle Localization and Trajectory Prediction via Multi-Source Data Fusion	博士（2024届）	清华大学（博后）
许新操	《车载信息物理融合系统建模与优化关键技术研究》 Research on Key Techniques for Modeling and Optimization of Vehicular Cyber-Physical Systems	博士（2023届）	电子科技大学深圳高等研究院（博后）
肖颗	《面向软件定义车联网的数据分发关键技术研究》 Research on Key Technologies of Data Dissemination in Software Defined Vehicular Network	博士（2020届）	重庆师范大学（青年教师）
张浩	《面向可扩展低开销的室内定位关键技术研究》 Research on Key Techniques for Scalable and Low-overhead Indoor Localization	博士 (2020届)	重庆邮电大学（青年教师）
吴挺	《面向非易失性内存的文件系统优化与共享文件系统研究》 Research on File System Optimization and Shared File System for Non-Volatile Memory	博士（2020届）	重庆邮电大学（青年教师）
高聪明	《新型闪存固态硬盘存储系统优化研究》 Research on New Generation of Flash Memory based Solid-State Drives Storage System Optimization	博士（2020届）	清华大学（博后）
王俊华	《面向异构车联网的实时信息服务与任务迁移技术研究》 Research of Real-time Information Service and Task Offloading Technologies in Heterogenous VANETs	博士（2019届）	南京航空航天大学（青年教师）
戴朋林	《面向大规模异构车联网的信息服务策略与网络资源优化关键技术研究》 Research on Key Techniques for Information Service Strategy and Network Resource Optimization in Large-scale Heterogeneous Vehicular Networks	博士（2017届）	西南交通大学（青年教师）

硕士研究生
姓名	论文题目	毕业时间	就业情况
蒋璐遥	《车载边缘计算环境下协同感知关键技术研究与系统实现》 LiDAR-based Cooperative Sensing in Vehicular Edge Computing	硕士（2024届）	四川航天职业技术学院（广汉）
钟成亮	《基于无人机辅助的车联网数据收集与任务卸载研究》 Research on UAV-assisted Internet of VehiclesData Collection and Task Offloading	硕士（2024届）	赛力斯（重庆）
周扬凯	《车联网环境下进化多任务优化算法研究与实现》 Research and Implementation of Evolutionary Multi-task Optimization Algorithm in Vehicle Networking Environment	硕士（2024届）	华为技术有限公司（成都）
蒋豪	《基于车载边缘计算的信息增强关键技术研究》 Research on Key Technologies of Information Augmentation based on Vehicular Edge Computing	硕士 (2023届)	阿里巴巴（杭州）
胡峻菠	《基于融合感知的车辆行为识别模型研究与实现》 Vehicle Behavior Recognition Model based on Sensing Fusion: Research and Implementation	硕士 (2023届)	阿里巴巴（杭州）
张棋森	《基于无人机辅助的车载端边云协同任务卸载研究与应用》 UAV-assisted Vehicular End-Edge-Cloud Cooperative Task Offloading: Research and Application	硕士 (2023届)	华为技术有限公司（成都）
刘家莱	《基于WiFi-CSI无源感知的可扩展行人监控系统研究与实现》 A Scalable Pedestrian Monitoring System based on WiFi-CSI Passive Sensing: Research, Implementation	硕士（2022届）	华为技术有限公司（深圳）
王东	《面向车载边缘计算的进化多任务优化算法设计与性能分析》 Evolutionary Multi-task Optimization Algorithm Design and Performance Evaluation in Vehicular Edge Computing	硕士（2022届）	字节跳动科技（成都）有限公司
李东	《面向海量实时信息服务的带宽资源分配策略及应用研究》 Research on Bandwidth Allocation Strategy and Application for Massive and Real-time Information Service	硕士（2022届）	腾讯科技（北京）有限公司
揭会林	《基于UWB/WiFi融合的低开销可扩展室内定位技术研究》 Research on Low-overhead and Scalable Indoor Localization Technology based on the Fusion of UWB/WiFi	硕士（2021届）	湖北烟草公司（宜昌）
张浪	《面向可信消息传输的车辆碰撞预警系统研究与设计》 Towards Trusted Message Transmission for Vehicular Collision Warning System: Research and Design	硕士（2021届）	蚂蚁金服（重庆）
陈梦良	《基于移动边缘计算的车联网视频传输架构研究与应用》 Research and Application of Internet of Vehicles’ Video Transmission Architecture Based on Mobile Edge Computing	硕士（2020届）	字节跳动（深圳）
金飞宇	《面向鲁棒可扩展的室内轨迹追踪系统研究与实现》 Toward Robust and Scalable Indoor Trajectory Tracking System: Research and Implementation	硕士（2020届）	重庆大学（博士）
周易	《基于车载雾计算的分布式任务卸载与通信资源分配研究》 Research on Distributed Tasks Offloading and Communication Resource Allocation via Vehicular Fog Computing	硕士（2020届）	交通银行研发中心（深圳）
王磊	《基于Wi-Fi室内被动定位人流密度监控系统的设计与实现》 Design and Implementation of Passive Positioning Human Flow Density Monitoring System Based on Wi-Fi	硕士（2019届）	国电南京自动化（南京）
夏宇声	《基于Wi-Fi信号处理的室内定位系统设计与实现》 The Design and Implementation of Indoor Localization System Based on Wi-Fi Signal Processing	硕士（2018届）	中移物联网（成都）
陈霞	《基于多源异构众包数据的行车风景旅行路线规划》 Scenic Driving Travel Route Planning Leveraging Mutil-sourced and Heterogeneous Crowd-sourced Data	硕士（2018届）	中国煤科智慧院（重庆）
杨燕宁	《车联网中数据服务技术的性能优化研究》 Research on Performance Optimization of Data Service Technology in VANETs	硕士（2018届）	中电科三十八所（合肥）
段垚鑫	《无线传感器网络中节点的功率控制和数据的路由选择》 Joint Power Allocation and Data Routing in Wireless Sensor Networks	硕士（2015届）	香港城市大学（博士）
聂文迪	《基于多级不确定图的无线传感器网络的路由设计》 Routing Algorithm Based on Multi-level Uncertain Graph in Wireless Sensor Network	硕士（2015届）	香港城市大学（博士）

获奖及荣誉

1. 教学科研

[1] 2023 重庆市高校教师教学创新大赛产教融合赛道二等奖

[2] 2023 重庆市一流本科课程（负责人）

[3] 2022 全球科学影响力榜单（World’s Top 2% Scientists）

[4] 2021 重庆青年拔尖人才

[5] 2021 重庆市自然科学一等奖（排名第二）

[6] 2020 全球科学影响力榜单（World’s Top 2% Scientists）

[7] 2020 重庆市高校中青年骨干教师

[8] 2019 重庆大学自然科学一等奖 (排名第一)

[9] 2019 中国物联网学术会议 CWSN'19 杰出服务奖

[10] 2019 IEEE UIC'19 国际会议杰出服务奖

[11] 2018 ACM(重庆) 最佳导师奖

[12] 2018 重庆大学唐立新奖教金 (三等奖)

[13] 2018 重庆大学优秀青年教师

[14] 2016 IEEE RTCSA'16 国际会议杰出服务奖

[15] 2014 重庆市高层次引进人才

[16] 2014 重庆大学“百人计划”

[17] 2011 香港城市大学周亦卿研究生院奖学金

[18] 2008 – 2010 香港城市大学杰出学术成果奖

[19] 2008 – 2010 香港城市大学豁免学费奖学金

[20] 2007 – 2011 香港城市大学研究生奖学金

[21] 2006 电子科技大学优秀毕业生

[22] 2005 电子科技大学人民奖学金 (特等奖)

[23] 2003/2004/2006 电子科技大学人民奖学金 (一等奖)

2. 其他

[1] 2024-05：重庆大学教师教学能力提升研修班（第三期）结业

[2] 2023-10：上海交大教育集团干部培训班结业

[3] 2021：华为昇腾众智星光奖

[4] 2019-11：浙江大学-重庆大学2019青年干部培训班(第二期)结业

[5] 2019-08：乒乓球国家一级裁判

[6] 2018-10：乒乓球国家二级裁判

[7] 2018-07: 井冈山干部教育学院党性教育培训班结业

[8] 2018：重庆大学田径运动会教工青年男子1500米第五名

[9] 2015：重庆大学教职工乒乓球比赛（男子双打）第七名

[10] 2013: CityU Badmintn and Table Tennis Tournaments (Table-tennis Mixed Double) Champion

[11] 2010: Professor Edmond Ko Cup, Inter-Hall Table Tennis Competition (Team) Champion

[12] 2009: Hong Kong University Campus Orienteering Game (HKUST Stop) First Runner-up

[13] 2009: Hong Kong University Campus Orienteering Game (CityU HKBU Stop) Champion

[14] 2009: Inter-University Postgraduate Basketball Game First Runner-up

[15] 2009: Professor Edmond Ko Cup, Inter-Hall Table Tennis Competition (Team) Champion

[16] 2008: Professor Edmond Ko Cup, Inter-Hall Table Tennis Competition (Team) First Runner-up

[17] 2007: Professor Edmond Ko Cup, Inter-Hall Men’s 4 x 100m Relay Race 7th Place