职称

讲师

电子邮件

ygcui@shu.edu.cn

办公室

计413室

研究方向

(1). 分布式深度学习，联邦学习

(2). 边缘智能计算、嵌入式系统

(3). 多模态学习，大语言模型优化及应用

个人简介

崔阳光，博士，上海大学计算机工程与科学学院讲师、硕士生导师。2018年与2023年分别于华东师范大学获学士及博士学位。研究方向涵盖人工智能与计算机体系结构，已在IEEE TC、IEEE TCAD、IEEE TII、IEEE T-ASE、ACM ICML、ACM MM、ACM KDD、IEEE/ACM TCBB、IEEE IoTJ、IEEE/ACM DATE等国际顶级期刊与会议上发表学术论文近40篇。长期担任Journal of Circuits, Systems and Computers等多个SCI期刊编委，并作为IEEE TC、TCAD、TSC、TMC、TII及NeurIPS等30余个国际重要期刊与会议的审稿人及技术程序委员会委员。先后获CCF嵌入式系统博士激励计划、Computer Networks（CCF-B类期刊）杰出审稿人、IEEE ICITES最佳论文奖等荣誉。现任中国计算机学会（CCF）嵌入式系统专业委员会、体系结构专业委员会及分布式计算与系统专业委员会执行委员。目前主持国家自然科学基金、上海市自然科学基金等项目，并参与多项国家重点研发计划及国家自然科学基金项目。

欢迎报考硕士研究生，欢迎对科研创新训练感兴趣的本科生联系，将提供细致的科研指导：ygcui@shu.edu.cn个人主页为：https://yangguangcui.github.io/

教育背景

2018-2023, 华东师范大学, 计算机应用技术, 博士

2014-2018, 华东师范大学, 计算机科学与技术, 学士

主要工作经历

2023-至今, 上海大学，讲师、硕士生导师

2019-2020年，昆山杜克大学应用物理科学与工程研究所，研究助理

科研项目

(1). 2025-2028，国家自然科学基金青年科学基金项目，负责人

(2). 2024-2027，上海市自然科学基金面上项目，负责人

(3). 2025-2027，广西数字基础设施重点实验室开放课题，负责人

(4). 2024-2026，大数据与数字经济研究院开放课题，负责人

(5). 2022-2025，国家自然科学基金面上项目，参与人

(6). 2025-2028，国家重点研发计划项目，参与人

代表性论文或专著

(1). Haizhou Wang, Guobing Zou, Kun Cao, Yangguang Cui*, Tongquan Wei, and Shiyan Hu, An Elastic Federated Learning Collaboration Framework for Computing-Constrained IoT, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025. (通讯作者，CCF-A类期刊)

(2). Haizhou Wang, Guobing Zou, Fei Xu, Yangguang Cui*, Tongquan Wei, Multi-Width Neural Network-Assisted Hierarchical Federated Learning in Heterogeneous Cloud-Edge-Device Computing, ACM International Conference on Multimedia (ACM MM), 2025. (通讯作者，CCF-A类会议)

(3). Yangguang Cui, Zhixing Zhang, Nuo Wang, Liying Li, Chunwei Chang, Tongquan Wei, User-Distribution-Aware Federated Learning for Efficient Communication and Fast Inference, IEEE Transactions on Computers, vol. 73, no. 4, pp. 1004-1018, 2024. (CCF-A类期刊)

(4). Yangguang Cui, Kun Cao, Guitao Cao, Meikang Qiu, and Tongquan Wei, Client Scheduling and Resource Management for Efficient Training in Heterogeneous IoT-Edge Federated Learning, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 41, no. 8, pp. 2407-2420, 2022. (CCF-A类期刊)

(5). Yangguang Cui, Kun Cao, Junlong Zhou, and Tongquan Wei, Optimizing Training Efficiency and Cost of Hierarchical Federated Learning in Heterogeneous Mobile-Edge Cloud Computing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 42, no. 5, pp. 1518-1531, 2023. (CCF-A类期刊)

(6). Yangguang Cui, Kun Cao, Liying Li, Junlong Zhou, Tongquan Wei, and Shiyan Hu, Augmented Cross-Entropy-Based Joint Temperature Optimization of Real-Time 3-D MPSoC Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 39, no. 10, pp. 1987-1999, 2020. (CCF-A类期刊)

(7). Yangguang Cui, Weiqin Tong, Tong Liu, Kun Cao, Junlong Zhou, Ming Xu, Tognquan Wei, Energy-Aware Incentive Mechanism for Hierarchical Federated Learning Using Water Filling Technique, IEEE Transactions on Industrial Informatics, vol. 20, no. 12, pp. 14214-14225,2025. (SCI 一区Top期刊)

(8). Yangguang Cui, Kun Cao, and Tongquan Wei, Reinforcement Learning-Based Device Scheduling for Renewable Energy-Powered Federated Learning, IEEE Transactions on Industrial Informatics (TII), vol. 19, no. 5, pp. 6264-6274, 2023. (SCI一区Top期刊)

(9). Yangguang Cui, Jiamei Li, and Lingzhi Shao, Exploring High-Throughput and Low-Energy Federated Knowledge Tracking Using Pipeline and Energy-Efficient Techniques, IEEE Transactions on Industrial Informatics (IEEE TII), 2025. (SCI一区Top期刊)

(10). Yangguang Cui, Liying Li, Zhe Tao, Mingsong Chen, and Tongquan Wei, Filtering Out High Noise Data for Distributed Deep Neural Networks, IEEE Transactions on Automation Science and Engineering (IEEE T-ASE), vol. 20, no. 1, pp. 101-111, 2023. (SCI一区Top期刊)

(11). Jiamei Li, Haizhou Wang, Kun Cao, Yangguang Cui*, Tong Liu, and Zhiquan Liu, Latency-Aware Client Selection and Energy Management for Hierarchical Federated Learning, IEEE Internet of Things Journal (IEEE IoTJ), 2025. (通讯作者，中科院Top期刊)

(12). Yangguang Cui, Kun Cao, Junlong Zhou, and TongquanWei, HELCFL: High-Efficiency and Low-Cost Federated Learning in Heterogeneous Mobile-Edge Computing, IEEE Design, Automation & Test in Europe Conference (DATE), pp. 1227-1232, 2022. (CCF-B类EDA顶会)

(13). Yuhang Li, Tong Liu, Yangguang Cui, Ming Hu, and Xiaoqiang Li. One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory. In Proceedings of International Conference on Machine Learning (ICML), 2025. (CCF-A类会议)

(14). Mingsheng Cao, Ming Hu, Zhuang Qi, Yangguang Cui, Junlong Zhou, Xiaofei Xie, Two Heads Are Better Than One: Generalized Cross-Domain Federated Learning via Dual-Prototype. ACM Knowledge Discovery and Data Mining (KDD), 2026. (CCF-A类会议)

(15). Kun Cao, Yangguang Cui, Rui Xu, Yuxia Sun, Zhiquan Liu, Chaohong Tan, Personalized Federated Learning for Green Industrial IoT, IEEE Transactions on Industrial Informatics (IEEE TII), 2025.(SCI一区Top期刊)

(16). Yuxin He, Siteng Liao, Tong Liu, Yangguang Cui, and Shaohua Wan, DHA-HFL: A Dynamic Hybrid Asynchronous Hierarchical Federated Learning Framework for NTN-Assisted IoT Environments, IEEE Internet of Things Journal (IEEE IoTJ), 2025. (中科院Top期刊)

(17). Kun Cao, Yangguang Cui, Zhiquan Liu, Wuzheng Tan, and JianWeng, Edge Intelligent Joint Optimization for Lifetime and Latency in Large-Scale Cyber-Physical Systems, IEEE Internet of Things Journal (IoT J), vol. 9, no. 22, pp. 22267-22279, 2022. (SCI一区Top期刊)

(18). Kun Cao, Liying Li, Yangguang Cui, Tongquan Wei, and Shiyan Hu, Exploring Placement of Heterogeneous Edge Servers for Response Time Minimization in Mobile Edge-Cloud Computing, IEEE Transactions on Industrial Informatics (TII), vol. 17, no. 1, pp. 494-503, 2021. (SCI一区Top期刊)

(19). Kun Cao, Yangguang Cui, Liying Li, Junlong Zhou, and Shiyan Hu, CPU-GPU Cooperative QoS Optimization of Personalized Digital Healthcare Using Machine Learning and Swarm Intelligence, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2022. (CCF-B类期刊)

(20). Dongwei Qian, Yangguang Cui, Feng Liu, Tongquan Wei, FedEntropy: Information-Entropy-Aided Training Optimization of Semi-Supervised Federated Learning, Journal of Systems Architecture (JSA), 2022. (CCF-B类期刊)

(21). Jun Chen, Liying Li, Yangguang Cui, Tongquan Wei, Fuke Shen, and Meikang Qiu, Utility-Driven Renewable Energy Sharing Systems for Community Microgrid, Journal of Systems Architecture (JSA), 2022. (CCF-B类期刊)

(22). Haizhou Wang, Liying Li, Yangguang Cui, Nuo Wang, Fuke Shen, Tongquan Wei, MBSNN: A Multi-Branch Scalable Neural Network For Resource-Constrained IoT Devices, Journal of Systems Architecture (JSA), 2023. (CCF-B类期刊)

(23). Jun Chen, Yangguang Cui, Fuke Shen, Jianhua Shen, and Tongquan Wei, DBANet: A Dual Branch Attention-Based Deep Neural Network for Biological Iris Recognition, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1497-1500, 2022. (CCF-B类会议)

(24). Yuhang Li, Tong Liu, Wenfeng Shen, Yangguang Cui, and Weijia Lu,Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining, In Proceedings of European Conference on Parallel and Distributed Computing (Euro-PAR) , 2024. (CCF-B类会议)

(25). Junwen Chen, Tong Liu, Yangguang Cui, Xiaoqiang Li, and Weiqin Tong, A Meta-Learning Based Method for Few-Shot Pneumonia Identification using Chest X-ray Images, Biomedical Signal Processing and Control. (SCI二区)

(26). Mingyi Qiu, Kun Cao, Donghong Cai, Zhicheng Dong, and Yangguang Cui, Low-Complexity Joint Estimation for Asynchronous Massive Internet of Things: An ADMM Approach, In Proceedings of the IEEE International Conference on Intelligent Technology and Embedded Systems (ICITES), pp. 13-20, 2022. (Best Paper Award) 等等

荣誉奖励

(1). CCF嵌入式系统博士激励计划

(2). Computer Networks（CCF-B类期刊）杰出审稿人

(3). IEEE ICITES最佳论文奖

(4). 上海市计算机学会协同与信息服务专委会优秀论文奖（二等奖）等