主讲课程：计算机网络（本科生）、学科导论（本科生）、
高速计算机网络（研究生）
办公室：2号楼305
电子邮件：cscheng@fzu.edu.cn
1997年和2000年毕业于武汉水利电力大学（现武汉大学），分别获工学学士和工学硕士学位。2004年9月至2007年6月就读于武汉大学计算机学院，2007年6月获得计算机软件与理论专业工学博士学位。
2006年在香港城市大学电脑系任研究助理，2007年6月毕业后至福州大学计算机与大数据学院工作, 2016年晋升教授，期间于2014年4月至2015年2月赴美国阿拉巴马大学计算机科学系进行学术访问。是中国计算机学会杰出会员、IEEE高级会员、ACM会员，同时担任多个国际知名学术期刊编委。
招生信息
在计算机科学与技术一级学科（所有专业方向均可）招收博士生、硕士生和能力较强的本科生。2027年拟招收学术型博士生1名（2027年9月入学）。欢迎2026年秋季入学的学术型、专业型硕士研究生通过电子邮件与导师建立联系。
课题组注重“理论 + 应用”，热切希望招收和指导具有强烈积极进取愿望、动手能力强、能够踏实勤奋，愿意钻研技术的同学。无论是学术研究还是工程实现，只要你愿意踏实做事、认真打磨自身技术，都非常欢迎加入本课题组，一起学习、共同进步。
1、国家自然基金面上项目, 复合场景下基于多模态融合的轻量化任务处理与模型泛化研究(62372111), 2024.1 – 2027.12，65万。
2、福建省自然基金面上项目, 边端协同网络的数字孪生及优化研究(2023J01267), 2023.8 – 2026.8，10万。
3、福建省科技计划项目， 基于人工智能的免陪照护病房癌痛评估预警及陪伴交互系统的开发与评价，2025.11 – 2028.10, 50万。
4、某企业横向课题，2019 – 2024，120万。
5、福建省自然基金面上项目, 分布式异构物联网带认知的动态组网策略和智能大数据分析研究(2019J01245), 2019 – 2022，10万。
6、福建省教育厅高校新世纪优秀人才项目，新一代无线传感器网络中的智能协同机制研究， 2015 – 2017, 8万。
7、国家自然基金面上项目, 面向服务的无线传感器网络关联感知策略与容错协同机制研究(61370210), 2014.1 – 2017.12，71万。
8、横向课题，深圳东深电子股份有限公司，XXX供水工程水力计算自动化软件设计与开发，2016.8-2022.11，50万。
9、横向课题，泉州科力电气有限公司，XXX系统后台WEB软件开发，2012.12-2013.12，18万。
10、福建省自然基金面上项目, 三维无线传感器网络动态拓扑控制与实时数据汇集研究(2011J01345), 2011.4 – 2014.3，4万。
11、福建省教育厅项目，无线传感器网络中面向服务的多点协同机制研究(JA12027), 2013.1 – 2015.12，2万。
12、福州大学科技发展基金，面向服务的无线传感器网络关联感知策略研究(2013-XQ-35), 2013.6－2015.5，6万。
[1] Cao D, Zhang J, Chen Z, et al. Insight into Neighborhood Information: A Novel Multimodal Sentiment Analysis Approach with Joint Alignment, Fusion and Denoising. IEEE Transactions on Computational Social Systems, 2026.
[2] Cao D, Wang J, Yan J, et al. Neighborhood-Attention-Based Multiscale Alignment and Hierarchical Reconstruction for Multimodal Medical Image Fusion. ACM Transactions on Multimedia Computing, Communications and Applications, 2026.
[3] Guo L, Cheng H. HFQuant: Mixed-Precision Quantization with Hessian-Fisher Sensitivity for Neural Networks. 第五届计算机科学、电子信息工程和智能控制技术国际会议(CEI 2025).
[4] 曾庆泷, 曹栋涛, 颜良棋, 张佳乐, 陈哲毅, 程红举. 基于个性化辅助网络和输出堆叠的异构联邦学习方法. 计算机应用研究, 2026.
[5] Zhan Z, Cao D, Chen Z, et al. Multimodal sentiment analysis based on slice aggregation and dynamic fusion. CCF Transactions on Pervasive Computing and Interaction, 2025: 1-20.
[6] Zhang J, Chen Z, Cheng H, et al. Improving Multi-Model Anomaly Traffic Detection in MEC Networks With Large-Model-Powered Continuous Learning. IEEE Network, 2025.
[7] Zhan Z, Cao D, Cheng H. When Sentiment Analysis Faces Missing Modalities: A Specific and Invariant Feature Learning Approach//2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2025: 533-537.
[8] Gao J, Hu Q, Cheng H. Data Synchronization Optimization Algorithm for The Digital Twin with Grouped Load Balance and Mask-assisted Power Control//2024 IEEE International Conference on High Performance Computing and Communications (HPCC). IEEE, 2024: 1132-1139.
[9] Chen Z, Huang Z, Zhang J, et al. Resource allocation and collaborative offloading in multi-UAV-assisted IoV with federated deep reinforcement learning. IEEE Internet of Things Journal, 2024.
[10] Hu Q, Cheng H, Yang Y, et al. CRNG-PBFT: An Efficient PBFT Algorithm Based on Comprehensive Reputation and Node Grouping for Data Sharing in Digital Twins//2024 20th International Conference on Mobility, Sensing and Networking (MSN). IEEE Computer Society, 2024: 1126-1131.
[11] Chen Z, Liang J, Yu Z, et al. Resilient collaborative caching for multi-edge systems with robust federated deep learning. IEEE/ACM Transactions on Networking, 2024.
[12] Zhan Y, Yang Y, Cheng H, et al. PIAS: Privacy-preserving incentive announcement system based on blockchain for Internet of Vehicles. IEEE Transactions on Services Computing, 2024, 17(5): 2762-2775.
[13] Zhang X, Lin T, Lin C K, et al. Computational task offloading algorithm based on deep reinforcement learning and multi-task dependency. Theoretical Computer Science, 2024, 993: 114462.
[14] Zhong L, Chen Z, Cheng H, et al. Lightweight federated graph learning for accelerating classification inference in UAV-assisted MEC systems. IEEE Internet of Things Journal, 2024, 11(12): 21180-21190.
[15] Lin C, Cheng H, Rao Q, et al. M3SA: Multimodal Sentiment Analysis Based on Multi-Scale Feature Extraction and Multi-Task Learning. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024, 32: 1416-1429.
[16] Zhang J, Chen Z, Cheng H, et al. Resource-Efficient Offloading and Network Access Optimization Using Deep Reinforcement Learning in Mobile Edge Networks. Available at SSRN 5031320, 2024.
[17] Ding J, Hu Q, Lin C, et al. BPPV-Chain: A Sharding Blockchain System with Output Shard Batch Processing and Parallel Transaction Verification//Proceedings of the 2023 5th International Conference on Blockchain Technology. 2023: 8-14.
[18] Zhang X, Cheng H. Joint task assignment and migration in cloud-edge-end collaborative computing based on DRL//2023 International Conference on Intelligent Communication and Networking (ICN). IEEE, 2023: 265-270.
[19] Shi Y, Zhang X, Hu Q, et al. Data recovery algorithm based on generative adversarial networks in crowd sensing Internet of Things. Personal and Ubiquitous Computing, 2023, 27(3): 537-550.
[20] Shi M, Zhang X, Chen J, et al. UAV cluster-assisted task offloading for emergent disaster scenarios. Applied Sciences, 2023, 13(8): 4724.
[21] Cheng H, Yang Z, Zhang X, et al. Multimodal sentiment analysis based on attentional temporal convolutional network and multi-layer feature fusion. IEEE transactions on affective computing, 2023, 14(4): 3149-3163.
[22] Li X Y, Zhang Y, Liu X, et al. Reliability evaluation of clustered faults for regular networks under the probabilistic diagnosis model. The Computer Journal, 2023, 66(2): 441-462.
[23] Lin T, Lin C K, Chen Z, et al. Computation offloading algorithm based on deep reinforcement learning and multi-task dependency for edge computing//International Computer Symposium. Singapore: Springer Nature Singapore, 2022: 111-122.
[24] Yang Y, Rong C, Zheng X, et al. Time controlled expressive predicate query with accountable anonymity. IEEE Transactions on Services Computing, 2022, 16(2): 1444-1457.
[25] Hu Q, Cheng H, Zhang X, et al. Trusted resource allocation based on proof-of-reputation consensus mechanism for edge computing. Peer-to-Peer Networking and Applications, 2022, 15(1): 444-460.
[26] Zhang X, Cheng H, Yu Z, et al. Design and analysis of an efficient multiresource allocation system for cooperative computing in Internet of Things. IEEE Internet of Things Journal, 2021, 9(16): 14463-14477.
[27] Yang Y, Deng R H, Guo W, et al. Dual traceable distributed attribute-based searchable encryption and ownership transfer. IEEE Transactions on Cloud Computing, 2021, 11(1): 247-262.
[28] Cheng H, Shi Y, Wu L, et al. An intelligent scheme for big data recovery in Internet of Things based on multi-attribute assistance and extremely randomized trees. Information Sciences, 2021, 557: 66-83.
[29] Cheng H, Wu L, Li R, et al. Data recovery in wireless sensor networks based on attribute correlation and extremely randomized trees. Journal of Ambient Intelligence and Humanized Computing, 2021, 12(1): 245-259.
