期刊论文

[1] Hao Zhang, Yunfan Jiang, Xin Deng, and Kai Liu*, GraphKANLoc: Physics-Informed Heterogeneous Graph Attention Networks with KAN Regression for Indoor Localization. IEEE Transactions on Mobile Computing, to appear. 2026. [SCI] 影响因子: 9.2 (2024), 8.1 (5-year) (JCR一区，CCF A)

[2] Wendi Nie, Yuanyi Zhang, Kam-Yiu Lam, Victor C.S. Lee, Min Wei, Yaoxin Duan, Kai Liu*, Jason Xue, Guan Gui, Towards Pervasive WLAN Localization Leveraging Collaborative Mobile Sites: A Multi-Agent Deep Reinforcement Learning Approach. IEEE Transactions on Mobile Computing, to appear. 2026. [SCI] 影响因子: 9.2 (2024), 8.1 (5-year) (JCR一区，CCF A)

[3] Guozhi Yan, Kai Liu*, Chunhui Liu, and Lingjie Duan, To Optimize Edge-Intelligent Cooperative Perception in Heterogeneous Vehicular Networks，IEEE Transactions on Mobile Computing, to appear. 2026. [SCI] 影响因子: 9.2 (2024), 8.1 (5-year) (JCR一区，CCF A)

[4] Penglin Dai, Xin Wang, Yue Xiang, Xiao Wu, Junhua Wang, and Kai Liu. Multi-agent Reinforcement Learning for Freshness-aware Data Sensing Model in Vehicular Crowdsensing System. IEEE Transactions on Services Computing, volume 18, issue 4, pp. 2212-2225, July-Aug. 2025. [SCI] 影响因子: 5.8 (2024), 5.7 (5-year) (JCR一区, CCF A)

[5] Xin Zhao, Xiumin Wang, Weiwei Lin, Wing W. Y. Ng, and Kai Liu, Fairness-Aware Client Selection and Payment Determination for Differentially Private Federated Learning, IEEE Transactions on Information Forensics and Security, volume 20, pp. 9818-9831, July 2025. [SCI],影响因子: 8 (2024), 8.5 (5-year) (JCR一区, CCF A)

[6] Penglin Dai, Biao Han, Ke Li, Xincao Xu, Huanlai Xing, and Kai Liu, Joint Optimization of Device Placement and Model Partitioning for Cooperative DNN Inference in Heterogeneous Edge Computing, IEEE Transactions on Mobile Computing, volume 24, issue 1, pp. 210-226, Jan. 2025. [SCI], 影响因子: 9.2 (2024), 8.1 (5-year) (JCR 一区, CCF A)

[7] 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, volume 23, issue 12, pp. 14987-15002, December 2024. [SCI] 影响因子: 7.7 (2023), 8.1 (5-year) (JCR一区，CCF A)

[8] 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, volume 23, issue 12, pp. 12761-12777, December 2024. [SCI] 影响因子: 7.7 (2023), 8.1 (5-year) (JCR一区，CCF A)

[9] 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: 7.7 (2023), 8.1 (5-year) (JCR一区，CCF A)

[10] 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.[SCI] 影响因子: 3.7 (2022), 4 (5-year) (JCR一区，CCF A)

[11] 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，CCF A)

[12] 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，CCF A)

[13] 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，CCF A)  

[14] 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, CCF A)

[15] 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，CCF A) 

[16] 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, CCF A) 

[17] 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, CCF A) 

[18] 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, CCF A)

[19] 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，CCF A)

[20] 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, CCF A)

会议论文

[1] Shijia Xu, Zhou Wu, Xiaolong Jia, Yu Wang, Kai Liu, and Xiaowen Dong. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS. The Annual Meeting of the Association for Computational Linguistics (ACL’26), San Diego, California, from 2-7 July, 2026. (CCF A)

[2] Shijia Xu, Yu Wang, Xiaolong Jia, Zhou Wu, Kai Liu, and Xiaowen Dong. RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game. The Annual Meeting of the Association for Computational Linguistics (ACL’26), San Diego, California, from 2-7 July, 2026. (CCF A)

[3] Yixin Xiong, Ke Wang, Tongtong Cheng, Chunhui Liu, and Kai Liu. BEV-CAR: Enhancing Monocular Bird's Eye View Segmentation with Context-Aware Rasterization. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’26), Denver, Colorado, United States, 3-7 June, 2026. (CCF A)

[4] Guozhi Yan, Chunhui Liu, Hualing Ren and Kai Liu. Optimizing Real-Time Cooperative Perception with Adaptive Model Pruning and Bandwidth Allocation. IEEE International Conference on Computer Communications (INFOCOM’2026), Tokyo, Japan, May 18-21, 2026. (CCF A)

[5] Tongtong Cheng, Rongzhen Li, Yixin Xiong, Tao Zhang, Jing Wang and Kai Liu. MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding. The 20th International Conference on Computer Vision (ICCV’25), Honolulu, Hawaii, United States, October 19-23, 2025.  (CCF A)

中文论文

[1] 刘凯*, 梅诗远, 晏国志, 杨作秀. 基于C-V2X的网联车辆与交通信号协同优化方法[J]. 通信学报，2026, 47(2), 140-149. (CCF A)

[2] 沈俊杰, 彭江, 郭坤银, 刘凯*. 车联网中基于位置信息映射和相关性评估的进化多任务优化算法[J]. 电子学报, 2025, 53(5), 1661-1676. (CCF A)

[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. (CCF A)

[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. (CCF A)

[5] 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. (优秀论文奖)

 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，H20180672，2018/07–2018/12，主持。

[2]  韩国DGIST国际合作项目，Towards Large-scale and Real-time Information Collection and Dissemination in Vehicular Networks，1040112820170535，2017/07–2018/07，主持。

[3]  韩国DGIST国际合作项目，Cross-layer Design for Data Services in Software-Defined Vehicular Ad-hoc Networks，1040112820160666，2016/07–2017/07，主持。

[4]  韩国DGIST国际合作项目，Towards Efficient Information Services via V2X Communications in Vehicular Cyber-Physical Systems，1040112820150601，2015/07–2016/07，主持。

[5]  韩国DGIST国际合作项目，Towards Robust Infrastructure-based Data Dissemination by Exploiting Cooperative Inter-vehicle Communication，1042012920140662，2014/07–2015/07，主持。

 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，主持。

[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，主持。

[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，主持。

[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，主持。

 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-bgzxm0039，2022/01 – 2024/12，主持。（优秀结题）

[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，主持。

[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，主持。

[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，主持。