个人信息（Personal Information）：
姓 名：刘冰艺
学 位：香港城市大学/武汉大学 双博士学位
职称/职位：教授，博士生导师，计算机科学系主任
E-mail：byliu[at]whut.edu.cn
个人简介（Brief Introduction）：
刘冰艺，人工智能学院教授，博导，入选国家级高层次青年人才，湖北省高层次青年人才，湖北省高校优秀共产党员。CCF高级会员，担任CCF物联网专委会执委，CCF网络与数据通信专委会执委，CCF智能汽车分会执委，中国通信学会车联网委员会委员。兼任香港城市大学高级研究员，武汉市经开区教育局党委委员、副局长（2024-2025）。
在IEEE/ACM Trans.，CCF推荐A类，SCI一区Top等权威期刊会议上发表论文80余篇（MobiCom，TPAMI，TON，JSAC, TMC，INFOCOM，ICCV，CVPR等），6次获得IEEE等国内外权威会议最佳论文奖，杰出论文奖，最佳展示奖等国际会议奖项（MobiCom，UIC，SmartCity等）。
主持国家重大科技专项课题，子课题，国家自然科学基金面上项目2项，国家自然科学基金青年项目，湖北省重点研发计划等国家级和省部级重点项目，及重大横向项目多项，获湖北省科技进步一等奖，重庆市科技进步奖二等奖。
国家工信部车联网关键技术创新和应用平台主要负责人，海南省首批双百团队“物流区块链与车联网关键技术”主要负责人，教育部深度学习课程群虚拟教研室智能系统应用课程负责人，参与机器人相关国标制定，参与车联网相关通信标准和国家环境部基于V2X节能减排方法学的制定，授权和申请专利15余项，参与和推动了多项智能网联汽车和智慧交通项目在武汉，重庆，香港等地应用和落地。
担任IEEE TCE副编委，担任IEEE相关国际会议和国内权威会议程序委员会主席，论坛主席，大会组委会主席（ICDCS，ISPCE-AS等），受邀参加国内外重要会议特邀报告10余次，担任10余个权威会议的程序委员会成员和期刊编委及审稿人（INFOCOM，CVPR，ICDCS，TMC，TITS，TCE等）。
指导本科生及研究生多次获得国家级比赛一等奖等重要奖项（第十届中国研究生智能城市技术与创意大赛一等奖等），及获得国家奖学金多次，指导博士生获批中国科协青年人才托举博士生专项计划。
研究方向（Research Interests）：智能网联汽车、自动驾驶、具身智能、强化学习、车联网、边缘智能、无线网络和智能交通。
学术经历（Academic Background）：
2014年9月至2018年3月，香港城市大学，计算机科学与工程系，获博士学位。导师：汪建平教授，计算学院院长，IEEE Fellow；
2016年9月至2017年9月，美国纽约州立大学，计算机科学系，联合培养博士。导师：乔春明教授， IEEE Fellow；
2011年9月至2017年12月，武汉大学，计算机学院，硕博连读获得博士学位。导师：吴黎兵教授。
招生信息：
招收计算机、数学、车辆、电子信息等相关学科博士、硕士研究生，鼓励本科生提前进组学习交流，参与竞赛及科研，对于优秀的研究生，生活科研津贴从优，团队和美国纽约州立大学、香港城市大学、武汉大学等国内外知名高校，以及中国电信，阿里，东航等知名企业保持紧密合作，并提供实习，合作交流，读博深造机会。
部分主持及负责项目（Selected Projects）：
[1] 国家科技重大专项课题，仓储机器人调度与仿真研制及工程验证，2027-2029
[2] 国家科技重大专项子题，全自主化协作机器人研制与工程验证，2025-2027
[3] 国家科技重大专项子题，自主化工业机器人研制与工程验证，2025-2027
[4] 国家自然科学基金面上项目，面向通感融合的网联化自动驾驶协同决策关键技术研究，2027-2030
[5] 国家自然科学基金面上项目，基于雾计算的车联网自适应组网和可靠通信关键技术研究，2023-2026
[6] 国家自然科学基金青年基金项目，面向智能交通的协同驾驶系统可靠高效通信技术研究，2019-2021
[7] 湖北省重点研发计划，面向车联网边缘智能的通信切换与服务迁移连续性研究，2022-2024
[8] 国家工信部物联网关键技术与平台创新类项目，车联网关键技术创新和应用平台，2021-2024。
[9] 海南省重点研发计划，基于车载雾计算的新能源汽车协同运营管控关键技术研究与应用， 2021-2023。
[10] 海南省首批“双百”团队，物流区块链与车联网关键技术， 2020
[11] 湖北省技术创新专项重大项目，智能网联汽车车载智能系统关键技术研究与应用， 2019 -2020。
[12] 武汉市交通强国建设科技联合项目，智能网联环境下交叉口车路协同控制优化研究，2024-2026
[13] 企业委托重大横向项目，车路协同一体化系统应用与开发，2025-2027
部分论文发表（Selected Publications）：
[1] Multi-Agent Attention Double Actor-Critic Framework for Intelligent Traffic Light Control in Urban Scenarios With Hybrid Traffic, IEEE Transactions on Mobile Computing (TMC), 2024. (CCF A)
[2] An Efficient Message Dissemination Scheme for Cooperative Drivings via Cooperative Hierarchical Attention Reinforcement Learning, IEEE Transactions on Mobile Computing (TMC), 2023. (CCF A)
[3] PV-STR: An Efficient Pseudonym Verification Scheme With Spatial-Temporal Revocation in IoVs, IEEE Transactions on Mobile Computing (TMC), 2026. (CCF A)
[4] Distributed Convex Relaxation for Heterogeneous Task Replication in Mobile Edge Computing, IEEE Transactions on Mobile Computing (TMC), 2022. (CCF A)
[5] Maximize Quantum Network Throughput via EPS Placement and Lightweight Entanglement Routing, IEEE Transactions on Networking (ToN), 2026. (CCF A)
[6] Efficient AGV Scheduling in Warehouses via Hierarchical Transformer Reinforcement Learning, IEEE Journal on Selected Areas in Communications (JSAC), 2025. (CCF A)
[7] A Unified Experience Replay Framework for Spiking Deep Reinforcement Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026. (CCF A)
[8] SecChain: A Secure Stateless Sharded Blockchain via a Novel State Commitment, IEEE Transactions on Dependable and Secure Computing (TDSC), 2026. (CCF A)
[9] VI-Planning: Infrastructure-Assisted Real-Time Planning Optimization for Autonomous Driving, Annual International Conference on Mobile Computing and Networking (MobiCom), 2025. (CCF A)
[10] Towards Lightweight Traffic Forecasting in RDMA Networks: Design and Application, IEEE Conference on Computer Communications (INFOCOM), 2025. (CCF A)
[11] Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism, Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. (CCF A)
[12] A Bargaining-based Approach for Feature Trading in Vertical Federated Learning, IEEE International Conference on Data Engineering (ICDE), 2025. (CCF A)
[13] Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF A)
[14] CLLAP: Contrastive Learning-based LiDAR-Augmented Pretraining for Enhanced Radar-Camera Fusion, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (CCF A)
[15] mmCooper: A Multi-Agent Multi-Stage Communication-Efficient and Collaboration-Robust Cooperative Perception Framework, IEEE/CVF International Conference on Computer Vision (ICCV), 2025. (CCF A)
[16] Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation, IEEE/CVF International Conference on Computer Vision (ICCV), 2025. (CCF A)
[17] FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning, ACM Multimedia (ACM MM), 2025. (CCF A)
[18] CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space, AAAI, 2026. (CCF A)
[19] InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck, AAAI, 2026. (CCF A)
[20] CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning, AAAI, 2025. (CCF A)
[21] TFT-GCN: A Time-Frequency Based Model for Time Series Anomaly Detection, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 (CCF A)
[22] Intention-Aware Cooperation for Efficient Resource Allocation in C-V2X Networks, IEEE Transactions on Mobile Computing (TMC), 2026 (CCF A)
[23] Message dissemination scheduling for multiple cooperative drivings, IEEE Conference on Computer Communications (INFOCOM), 2017. (CCF A)
[24] Collaborative Sensing and Communication for Intelligent Connected Vehicles: A Comprehensive Survey, IEEE Communications Surveys & Tutorials, 2026 (SCI一区，IF=46.7).
[25] Transformer-Based Generative Adversarial Network for Traffic Forecasting, IEEE Transactions on Consumer Electronics (TCE), 2025. (SCI一区)
[26] Cooperative Multi-Agent Reinforcement Learning Framework for Edge Intelligence Empowered Traffic Light Control, IEEE Transactions on Consumer Electronics (TCE), 2024. (SCI一区)
[27] CMRM: Collaborative Multi-Agent Reinforcement Learning for Multi-Objective Traffic Signal Control, IEEE Transactions on Consumer Electronics (TCE), 2024. (SCI一区)
[28] HybridBEV: Hybrid Encode and Distillation for Improved BEV 3D Object Detection, IEEE Transactions on Intelligent Transportation Systems (TITS), 2025. (SCI一区)
[29] MATLIT: MAT-Based Cooperative Reinforcement Learning for Urban Traffic Signal Control, IEEE Transactions on Intelligent Transportation Systems (TITS), 2025. (SCI一区)
[30] Double Graph Attention Actor-Critic Framework for Urban Bus-Pooling System, IEEE Transactions on Intelligent Transportation Systems (TITS), 2023. (SCI一区)
[31] An Infrastructure-Assisted Message Dissemination for Supporting Heterogeneous Driving Patterns. IEEE Transactions on Intelligent Transportation Systems (TITS), 2017. (SCI一区)
[32] Secure Federated Learning for Cloud-Fog Automation: Vulnerabilities, Challenges, Solutions, and Future Directions, IEEE Transactions on Industrial Informatics (TII), 2025. (SCI一区)
[33] CPA-MAC: A Collision Prediction and Avoidance MAC for Safety Message Dissemination in MEC-Assisted VANETs. IEEE Transactions on Network Science and Engineering (TNSE), 2021. (SCI一区)
[34] AquaFed: Ascending Quantized Federated Learning on Heterogeneous Devices, IEEE Transactions on Cloud Computing, 2026. (CCF B)
[35] Edge Intelligence Enabled Data Transmission in IoV: Integrating Link Optimization and Packet Routing, ACM Transcations on Sensor Networks (TOSN), 2025.(CCF B)