刘凯(教授)
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- 曾获荣誉:
2025 重庆市科技进步二等奖(序1);
2025 IEEE Consumer Electronics Society Chester Sall Awards;
2025 中国电子学会科技进步三等奖(序1);
2025 IEEE TCE Best Associate Editor Awards;
2025 CCF智能汽车分会教育激励计划(年度3名);
2025 重庆大学优秀教师奖(年度10名);
2023-2025 全球前2%顶尖科学家年度榜单;
2024 重庆市学术技术带头人后备人选;
2021 重庆市自然科学一等奖(序2);
2021 重庆英才·青年拔尖人才;
2020 重庆市高校中青年骨干教师;
2019 重庆大学自然科学一等奖 (排名第一);
2018 ACM(重庆) 最佳导师奖 (年度1名);
2018 重庆大学优秀青年教师(年度10名);
2016 重庆大学优秀共产党员;
2014 重庆大学“百人计划”;
2008 - 2010 香港城市大学杰出学术成果奖 - 博士生导师 硕士生导师
- 电子邮箱:
- 性别:男
- 联系方式:https://sites.google.com/site/liukai0807/home
- 学位:博士学位
- 毕业院校:香港城市大学
- 所属院系:计算机学院
- 邮箱:
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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. [SCI] 影响因子: 8.8 (2025), 8.2 (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. [SCI] 影响因子: 8.8 (2025), 8.2 (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, volume 25, issue 6, pp.8161-8176, June 2026. [SCI] 影响因子: 8.8 (2025), 8.2 (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, January 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] Sheng Yi, Hao Zhang, Kai Liu*, V2IViewer: Towards Efficient Collaborative Perception via Point Cloud Data Fusion and Vehicle-to-Infrastructure Communications. IEEE Transactions on Network Science and Engineering, volume 11, issue 6, pp. 6219-6230, Nov.-Dec. 2024. [SCI] 影响因子: 6.7 (2023), 6.9 (5-year) (JCR一区)
[10] 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. [SCI] 影响因子: 7.9 (2023), 9.5 (5-year) (JCR一区)
[11] Guozhi Yan, Kai Liu*, Chunhui Liu, Jie Zhang. Edge Intelligence for Internet of Vehicles: A Survey. IEEE Transactions on Consumer Electronics, volume 70, issue 2, pp. 4858-4877, May 2024. [SCI] 影响因子: 4.3 (2023), 3.9 (5-year) (JCR一区,ESI高被引)
[12] 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)
[13] 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. [SCI] 影响因子: 4.3 (2023), 3.9 (5-year) (JCR一区,ESI高被引)
[14] 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)
[15] 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)
[16] 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)
[17] 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)
[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, with award quality)
[19] 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)
[20] 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)
[21] 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)
[22] 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)
[23] Haijun Zhang, Donghai Li, Yuzhu Ji, Haibin Zhou, Weiwei Wu and Kai Liu. Toward 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)
[24] 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)
[25] 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,ESI高被引)
[26] 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)
[27] 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)
[28] 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)
[29] 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: 3.780 (2018), 3.756 (5-year) (JCR一区)
[30] 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)
[31] 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)
[32] 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)
[33] 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)
[34] 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)
[35] 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)
[36] 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)
[37] 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)
[38] 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)
[39] 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)
[40] 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)
[41] 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)
[42] 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)
[43] 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)
[44] 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,ESI高被引)
[45] 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)
[46] 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)
[47] 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)
[48] 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)
2. 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 (IEEE/CVF 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 (IEEE INFOCOM’26), 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 (IEEE/CVF ICCV’25), Honolulu, Hawaii, United States, October 19-23, 2025. (CCF A)
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] Hualing Ren, Kai Liu, Yantao Li, Penglin Dai, Ke Xiao. Cooperative Data Uploading and Task Offloading via Markov-Approximation in Heterogeneous Vehicular Networks. IEEE 26th International Conference on Intelligent Transportation Systems (IEEE 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 (IEEE 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 (IEEE ITSC’23), Bilbao, Bizkaia, Spain, September 24-28, 2023.
[13] 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.
[14] 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 (IEEE ITSC’22), Macau, China, October 8-12, 2022.
[15] 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 (IEEE ITSC’22), Macau, China, October 8-12, 2022.
[16] 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 (IEEE ITSC’22), Macau, China, October 8-12, 2022.
[17] 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)
[18] 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.
[19] 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.
[20] 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.
[21] 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.
[22] 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.
[23] Penglin 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.
[24] 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.
[25] 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.
[26] 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.
[27] 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.
[28] 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.
[29] 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.
[30] 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.
[31] Xincao 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 Product Compliance Engineering-Asia (IEEE ISPCE-AS’18), Hong Kong/Shengzhen, December 5-7, 2018. (最佳论文奖)
[32] 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.
[33] 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.
[34] Yong Liao, Xuanfan Shen, Xuewu Dai, Ming Zhao, Kai Liu, Daotong Li and Xin Zhou. 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.
[35] 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.
[36] 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.
[37] 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.
[38] 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.
[39] 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.
[40] 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)
[41] 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.
[42] 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. (CCF A)
3. 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] 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)
[8] 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)
