个人概况
姓 名：胡晓敏
职位职称：教授，博士生导师
工作单位：广东工业大学 计算机学院软件工程系
电子邮件：xmhu@ieee.org; xmhu@gdut.edu.cn
2018年广州市珠江科技新星
智能服务调度与安全ISSS团队骨干（李小平院长团队）
研究方向：深度学习、强化学习、视觉图像识别算法、大语言模型与群体智能优化算法、大数据处理与分析、工业场景优化方案设计
欢迎报考本人的硕士、博士研究生~~ 欢迎本科生联系参与科研项目~~
个人简述
胡晓敏，女，博士，教授，博士生导师，计算机学院软件工程系系主任，青百A，IEEE广州分会秘书长。长期围绕智能算法领域开展研究，在智能算法建模与优化、大数据分析、深度学习、群智感知方面成果突出。近年来主持国家重点研发子课题1项，国家自然科学基金3项（2项已结题），国家自然科学基金-广东省联合基金重点项目子课题1项，广东省自然科学基金1项，2018年广州市科技计划珠江科技新星，参与863项目及其他20余项，担任IEEE Transaction on Artificial Intelligence副编辑。在国际权威期刊（如IEEE Transactions系列）及国内期刊/国际会议发表论文60余篇，授权发明专利10项。基于超启发式的交通流优化算法获得2023年第15届先进计算智能国际会议最佳论文奖。“蚁群优化算法的研究”获教育部自然科学一等奖。获2023年度广东省人工智能产业协会科学技术奖-自然科学奖。在复杂大规模优化问题的建模、算法设计及应用验证上已有研究基础积累，特别是在算法建模过程中智能算法和应用场景的优化方面已有相关的研究成果。研究应用于大规模交通流，边缘云协同分布式数据驱动优化，代理辅助进化算法解决昂贵约束优化问题，高维特征选择，数据分析，自动化组卷，大规模传感器网络调度等。主持“复杂光场条件下的仓储库存状态智能监测盘点”项目进行视觉图像识别技术研究。
主持的科研项目
q 2023.11-2026.10 “复杂光场条件下的仓储库存状态智能监测盘点”，国家重点研发计划项目，2023YFF0905603，课题负责人
q2023.1-2026.12 “基于微观演化博弈和宏观遗传规划的超大规模交通流分配优化”，国家自然科学基金面上项目，62272108 ，主持
主要学术兼职
教学工作
获奖情况
已发表论著情况
Year 2026
[1].Guoheng Huang, Nianxing Wei , Xiao-Min Hu*, Kunchen Li, Zhaocheng Xu, Xiaochen Yuan, Yan Li∗, Guo Zhong∗, Franklin C. Okoh, Bingo WingKuen Ling, “Q-DRIR: A Quaternion-Based Framework for Detail Restoration and Illumination-Robust Exposure Correction,” IEEE Transactions on Consumer Electronics, in press.
[2].Wen-Jin Qiu, Zhan-Xian Liang, Xiao-Min Hu*, Jun Zhang, and Wei-Neng Chen*, “An Ant Colony System for Passenger Assignment and Route Design of Urban Customized Bus With Flexible Pick-Ups and Drop-Offs,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 56, no. 2, pp. 1326 - 1338, Feb. 2026.
Year 2025
[3].Guo Yang, Feng-Feng Wei*, Xiao-Min Hu, Sang-Woon Jeon, Jun Zhang, Wei-Neng Chen, “An Asynchronous Distributed Cooperative Coevolutionary Algorithm for Multilayer Influence Maximization," IEEE Transactions on Computational Social Systems, vol. 12, no. 5, pp. 2562-2575, Oct. 2025.
[4].Tai-You Chen, Wei-Neng Chen*, Feng-Feng Wei, Xiao-Min Hu, Jun Zhang, “Multigent Swarm Optimization with Adaptive Internal and External Learning for Complex Consensus-Based Distributed Optimization,” IEEE Transactions on Evolutionary Computation, vol. 29, no. 4, pp. 906-920, Aug. 2025.
[5].Xiao-Cheng Liao, Xiao-Min Hu*, Xiang-Ling Chen, Yi Mei, Ya-Hui Jia, Wei-Neng Chen*, “Learning to Communicate among Agents for Large-scale Dynamic Path Planning with Genetic Programming Hyper-Heuristic,” IEEE Transactions on Artificial Intelligence, vol. 6, no. 5, pp. 1269-1283, May 2025.
[6].Hao Cong, Xiao-Min Hu*, Wei-Neng Chen*, Wen Shi, Jun Zhang, “Evolutionary Algorithm Based on Multi-probability Distribution Model for Stochastic Optimization,” Swarm and Evolutionary Computation, vol. 94, 101839, April 2025.
[7].Ji Tang, Xiao-Min Hu*, Sang-Woon Jeon, Wei-Neng Chen, “Light-YOLO: A Lightweight Detection Algorithm Based on Multi-Scale Feature Enhancement for Infrared Small Ship Target,” Complex & Intelligent Systems, 11:130, pp. 1-12, January 2025.
[8].Jia-Hao Li, Dingrui Zhang, Xiao-Min Hu*, “Large-scale Dynamic Adaptive Traffic Lights Scheduling Algorithm based on Genetic Programming,” in Proceeding of the Twelfth International Conference on Machine Intelligence Theory and Applications, pp. 1-8, May 20-27, 2025, Naples, Italy.
[9].Jia-Xuan Li, Yu Bai, Xiao-Min Hu*, Min Li, “Hyper-Heuristic Realtime Flows Guided Traffic Flow Assignment Algorithm,” in Proceeding of the Twelfth International Conference on Machine Intelligence Theory and Applications, pp. 1-7, May 20-27, 2025, Naples, Italy.
[10].Xiao-Min Hu, Bing-Hai Wang, Zhuo Yang, “Area Ratio-Based Box Counting Algorithm for Intelligent Inventory in Stacked Goods Environments,” in Proceeding of the Twelfth International Conference on Machine Intelligence Theory and Applications, pp. 1-9, May 20-27, 2025, Naples, Italy.
[11].胡晓敏，段宇晖，欧炜标，黄佳玟，林晓漫，李 敏*, “交通流优化膨胀控制遗传规划算法,” 计算机应用研究，第42卷第1期，pp. 171-176, 2025年1月
Year 2024
[12].Wen-Jin Qiu, Xiao-Min Hu*, An Song, Jun Zhang, and Wei-Neng Chen*, “A scalable parallel coevolutionary algorithm with overlapping cooperation for large-scale network-based combinatorial optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 8, pp. 4806 - 4818, Aug. 2024.
[13].Xiao-Cheng Liao, Ya-Hui Jia, Xiao-Min Hu, Wei-Neng Chen, “Uncertain commuters assignment through genetic programming hyper-Heuristic,” IEEE Transactions on Computational Social Systems, vol. 11, no. 2, pp. 2606-2619, April 2024.
[14].Qiang Yang, Jia-Wei Ji, Xin Lin*, Xiao-Min Hu*, Xu-Dong Gao, Peilan Xua, Hong Zhao, Zhen-Yu Lua, Sang-Woon Jeon, and Jun Zhang, “Bi-Directional Ensemble Differential Evolution for Global Optimization,” Expert Systems with Applications, vol. 251, Part B, pp. 1-19, 124245, October 2024. Hanyang
[15].Jin-Hao Zhu, Feng-Feng Wei, Qiuzhen Lin, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen, A Surrogate-Assisted Level-Based Learning Swarm Optimizer for Convolutional Neural Network Architecture Search, ICONIP2024
[16].Nuo Xu, Dan-Ting Duan, Qiang Yang, Xiao-Min Hu, Chang-Jun Zhou, Zhong-Long Zheng, Jian-Min Zhao, Sang-Woon Jeon, “Adapted Genetic Algorithm for Orienteering Problem,” 2024 11th International Conference on Machine Intelligence Theory and Applications (MiTA), Melbourne, Australia, 2024.
[17].Xiao-Min Hu, Peng-Cheng Yan, Sang-Woon Jeon, Xiaofeng Liao, “Surrogate-Assisted Level-Based Learning Particle Swarm Optimizer Based on Expected Value Evaluation under High Noise Optimization,” 2024 11th International Conference on Machine Intelligence Theory and Applications (MiTA), Melbourne, Australia, 2024.
[18].Feng-Feng Wei, Ming-Can Geng, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen, “A Dynamic Heuristic Set-based Particle Swarm Optimizer for the Multi-Objective Task Assigning Problem in Wireless Sensor Networks,” 2024 11th International Conference on Machine Intelligence Theory and Applications (MiTA), Melbourne, Australia, 2024.
[19].Yu Bai, Guang-Xu Shen, Bowen Fu, Mingyu Li, Pei-Fa Sun, Xiao-Min Hu, Sang-Woon Jeon, Jinghui Zhong, Jun Zhang, “Orthogonal Design Assisted Particle Swarm Optimization,” 2024 11th International Conference on Machine Intelligence Theory and Applications (MiTA), Melbourne, Australia, 2024.
[20].胡晓敏，王炳海，黄佳玟，龚超富，李敏*，回归分类协同昂贵约束多目标优化算法，广东工业大学学报，vol. 41, no. 6, pp. 1-11, 2024年11月
Year 2023
[21].Xiao-Qi Guo, Wei-Neng Chen, Feng-Feng Wei, Wen-Tao Mao, Xiao-Min Hu, Jun Zhang, “Edge-cloud co-evolutionary algorithms for distributed data-driven optimization problems,” IEEE Transactions on Cybernetics, vol. 53, no. 10, pp. 6598-6611, 2023.
[22].Feng-Feng Wei, Wei-Neng Chen, Wentao Mao, Xiao-Min Hu, and Jun Zhang, “An efficient two-stage surrogate-assisted differential evolution for expensive inequality constrained optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 12, pp. 7769-7782, 2023.
[23].Xiao-Cheng Liao, Wei-Neng Chen, Xiao-Qi Guo, Jinghui Zhong, Xiao-Min Hu, “Crowd management through optimal layout of fences: an ant colony approach based on crowd simulation,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 9, pp. 9137-9149, 2023.
[24].Zhi-Xuan Zhang, Wei-Neng Chen, Xiao-Min Hu, “A knowledge-based constructive estimation of distribution algorithm for bi-objective portfolio optimization with cardinality constraints” Applied Soft Computing, vol. 146, 110652, 2023.
[25].Xiao-Min Hu, Yu-Hui Duan, Min Li, Ying Zeng, “Hyper-Heuristic Algorithm for Urban Traffic Flow Optimization,” in Proc. 15th International Conference on Advanced Computational Intelligence (ICACI), Seoul, 06-09 May, pp. 1-7, 2023. (This paper received the conference best paper award.)
[26].Xiao-Min Hu, Jing-Hui Xu, Min Li, Ying Zeng, Yi Liu, “Optimization of Resource Allocation based on Swarm Intelligence for Multi-Objective Dynamic SEIV Models,” in Proc. of the 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD2023), pp. 225-230, 24-26 May, 2023, Rio de Janeiro, Brazil.
[27].Xiao-Min Hu, Yi-Qian Zhao, Zhuo Yang, “Nodes Grouping Genetic Algorithm for Influence Maximization in Multiplex Social Networks,” in Proc. of the 2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD2023), pp. 1130-1135, 24-26 May, 2023, Rio de Janeiro, Brazil.
[28].Xiao-Min Hu, Gang-Qi Wang, Min Li, Zi-Liang Chen, “A Signal Control Algorithm of Urban Intersections based on Traffic Flow Prediction,” in Proc. 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD2023), pp. 1372-1377, 24-26 May, 2023, Rio de Janeiro, Brazil.
[29].胡晓敏，许万森，段宇晖，李敏*，基于智能优化的协作治疗调度算法，广东工业大学学报，vol. 40, no. 5, pp. 21-33, 2023年9月
[30].胡晓敏，龙祖涛，李敏*，基于用户分层的多目标推荐算法，广东工业大学学报, 2023, vol. 40, no. 1, pp. 10-18, 2023年1月
教材：
[1].张军，陈伟能，胡晓敏等，《数值计算》，清华大学出版社，2008年6月
译著：
[1].张军，胡晓敏等翻译，《蚁群优化》，清华大学出版社，2007年1月
专利：
[1]一种基于多智能体强化学习的动态交通流分配方法
[2]基于自适应遗传编程的面向复杂约束的时间并行无人机集群动态规划方法
[3]基于改进 YOLO11-Seg 的立体仓库堆叠货物盘点方法
[4]一种基于多层级信息融合的图像曝光校正方法
[5]基于混沌自适应变异粒子群的多无人机跟踪多目标优化方法及系统
[6]多模态大模型与多模态融合的仓库货物SKU自动检测方法
[7]一种基于强化学习的多智能体协同优化方法及系统
[8]一种优化帕金森语音数据的多模态特征选择方法
[9]基于启发式算法的虚拟机整合方法
[10]水下潜航器的双重粒子群多监测点访问路径规划方法
[11]一种模拟海洋动态不确定环境的航行器路径规划方法
[12]基于多任务进化算法的医学图像聚类方法
[13]针对社交网络影响力最大化问题的节点解决方法及设备
[14]一种多智能体系统的协同调度方法
[15]一种基于知识迁移的遗传规划超启发式交通流分配方法
[16]一种基于实例分割的货物数量识别盘点方法及系统
[17]一种基于决策树的信号灯自适应控制方法及系统
[18]一种基于分类模型和回归模型协同的进化优化方法及系统
学者网链接https://www.scholat.com/xmhu
欢迎对深度强化学习、视觉图像优化、智能优化算法设计感兴趣的本科和硕博士生加入团队。
