个人简介
教育与工作经历
2003.11-今 北京理工大学 自动化学院 副教授
2016.06-2016.12：加拿大多伦多大学 (University of Toronto, Toronto, Ontario, Canada) 工业工程系 企业集成与城市系统工程研究中心 访问研究员
2012.05-2012.08：美国加州大学 伯克利分校 (University of California, Berkeley, California, USA) 访问学者
2007.06-2008.06：爱尔兰国立大学 高威分校(National University of Ireland, Galway, Ireland) 工业工程系，计算机集成制造系统研究中心 访问学者
2001.01-2003.11：清华大学 自动化系 国家CIMS工程研究中心 博士后
1995.09-2000.06：西安交通大学 系统工程研究所 系统工程专业 博士
1991.09-1994.06：西安交通大学 信息与控制工程系 自动化仪表与装置专业 硕士
1984.09-1988.07：南京航空航天大学 自动控制系 测试仪表与传感器专业 学士
教学成果
2021年，北京理工大学研究生教育培养综合改革项目--研究生“课程思政”示范课程《系统工程原理与应用》建设，负责人
2017年，北京理工大学研究生教学水平建设“明星” 课程《系统工程原理与应用》培育，负责人
2016年 ，北京理工大学T-more优秀教师奖（课堂教学类）三等奖，校级
近期论文
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Huifang Li, Yizhu Wang, Jingwei Huang, Yushun Fan. Mutation and Dynamic Objective-based Farmland Fertility Algorithm for Workflow Scheduling in the Cloud. Journal of Parallel and Distributed Computing, In Press, Feb. 12, 2022. (SCI)
Huifang Li, Danjing Wang, Guanghao Xu, Yan Yuan, Yuanqing Xia. Improved Swarm Search Algorithm for Scheduling Budget-constrained Workflows in the Cloud. Soft Computing, DOI: https://doi.org/10.1007/s00500-022-06782-w, Feb. 02, 2022. (SCI)
Huifang Li, Jingwei Huang, Mengchu Zhou, Qisong Shi, and Qing Fei. Self-attention Pooling-based Long-term Temporal Network for Action Recognition. IEEE Transactions on Cognitive and Developmental Systems, DOI: 10.1109/TCDS.2022.3145839, Jan. 24, 2022. (SCI)
Huifang Li, Guanghao Xu, Danjing Wang, Mengchu Zhou, Yan Yuan and Ahmed Alabdulwahab. Chaotic-nondominated-sorting Owl Search Algorithm for Energy-aware Multi-Workflow Scheduling in Hybrid Clouds. IEEE Transactions on Sustainable Computing, DOI: 10.1109/TSUSC.2022.3144357, Jan. 21, 2022. (SCI)
Huifang Li, Jianghang Huang, Binyang Wang and Yushun Fan. Weighted Double Deep Q-network based Reinforcement Learning for Bi-objective Multi-workflow Scheduling in the Cloud. Cluster Computing, DOI: https://doi.org/10.1007/s10586-021-03454-6, Oct. 29, 2021. (SCI)
Huifang Li, Danjing Wang, Mengchu Zhou, Yushun Fan, Yuanqing Xia. Multi-Swarm Co-evolution based Hybrid Intelligent Optimization for Bi-objective Multi-Workflow Scheduling in the Cloud. IEEE Transactions on Parallel and Distributed Systems, Vol. 33, No. 9, pp. 2183-2197, Sept. 2022, DOI: 10.1109/TPDS.2021.3122428. (SCI)
李慧芳，黄姜杭，徐光浩，夏元清. 基于多维度特征融合的云工作流任务执行时间预测方法. 自动化学报, DOI: http://www.aas.net.cn/article/id/5c0f8248-128b-40e9-96f8-342ee9ab40da, June 24, 2021.
Huifang Li, Jianghang Huang, Jingwei Huang, Senchun Chai, Leilei Zhao and Yuanqing Xia. Deep Multimodal Learning and Fusion based Intelligent Fault Diagnosis Approach. Journal of Beijing Institute of Technology, 2021, Vol. 30, No. 2, pp. 172-185, DOI: 10.15918/j.jbit1004-0579.2021.017.
Huifang Li, Rui Fan, Qisong Shi, Zijian Du. Imbalanced Classification based Fault Diagnosis via Combining K-Means Clustering Algorithm with Generative Adversarial Networks. Journal of Advanced Computational Intelligence & Intelligent Informatics, May 20, 2021, Vol. 25, No. 3, pp. 346-355, DOI: https://doi.org/10.20965/jaciii.2021.p0346.
Huifang Li, Danjing Wang, Julio Ruben Ca?izares Abreu, Qing Zhao and Orlando Bonilla Pineda. PSO+LOA: Hybrid Constrained Optimization for Scheduling Scienti?c Work?ows in the Cloud. The Journal of Supercomputing, Vol. 77, pp. 13139–13165, Apr. 10, 2021. (SCI)
Huifang Li, Binyang Wang, Yan Yuan, MengChu Zhou, Yushun Fan and Yuanqing Xia. Scoring and Dynamic Hierarchy-based NSGA-II for Multi-objective Work?ow Scheduling in the Cloud. IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2021.3054501, Feb. 23, 2021. (SCI)
Huifang Li, Guangzheng Hu, Jianqiang Li and MengChu Zhou. Intelligent Fault Diagnosis for Large-scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests. IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/TASE.2020.3048056, Jan. 18, 2021. (SCI)
Huifang Li, Rui Fan and Qisong Shi. Generative Oversampling and Deep Forest based Minority-class Sensitive Fault Diagnosis Approach. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, CA, Oct. 14-16, 2020, pp. 3629-3636.
Binyang Wang, Huifang Li (通信作者), Zhiwei Lin and Yuanqing Xia. Temporal Fusion Pointer Network-based Reinforcement Learning Algorithm for Multi-objective Workflow Scheduling in the Cloud. 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, Jul. 19-24, 2020, pp. 1-8.
Yan Yuan, Huifang Li (通信作者), Wanwen Wei. Heuristic Scheduling Algorithm for Cloud Workflows with Complex Structure and Deadline Constraints. Proceedings of 38th Chinese Control Conference (2019 CCC), Guangzhou, Guangdong, China, Jul. 27-30, 2019, pp. 2279-2284.
Huifang Li, Wanwen Wei, Rui Fan. Deep Learning-based QoS Prediction for Manufacturing Cloud Service．Proceedings of 38th Chinese Control Conference (2019 CCC), Guangzhou, Guangdong, China, Jul. 27-30, 2019, pp. 2719-2724.
Weidong Zou, Yuanqing Xia, Huifang Li (通信作者). Fault Diagnosis of Tennessee-Eastman Process Using Orthogonal Incremental Extreme Learning Machine Based on Driving Amount. IEEE Transactions on Cybernetics, May 21, 2018, Vol. 48, No. 12, pp. 3403-3410. (SCI)
Guangzheng Hu, Huifang Li (通信作者), Yuanqing Xia, Lixuan Luo. A Deep Boltzmann Machine and Multi-grained Scanning Forest Ensemble Collaborative Method and its Application to Industrial Fault Diagnosis. Computers in Industry, 2018, Vol. 100, pp. 287-296. (SCI)
夏元清, Mahmoud M. S., 李慧芳, 张金会. 控制与计算理论的交互：云控制. 指挥与控制学报, 2017, Vol. 3, No. 2, pp. 99?118.
Guangzheng Hu, Huifang Li (通信作者), et al. An Improved Dropout Method and its Application into DBN-based Handwriting Recognition. 36th Chinese Control Conference (2017 CCC), Dalian, Liaoning, China, Jul. 26-28, 2017, pp. 11145-11149.
Huifang Li, Lei Zhao, Baihai Zhang, Jianqiang Li. Service Matching and Composition Considering Correlations among Cloud Services. 2015 IEEE International Conference on System, Man and Cybernetics (SMC), Hong Kong, China, Oct. 10-12, 2015, pp. 509-514.
Huifang Li and Xinfang Cui. Modeling and Performance Analysis of Workflow based on Advanced Fuzzy Timing Petri Nets. Advances in Intelligent Systems and Computing. 2014, Vol. 213, pp. 199-211.
Huifang Li, Haitao Liu and Jianqiang Li. Workflow Scheduling Algorithm based on Control Structure Reduction in Cloud Environment. 2014 IEEE International Conference on System, Man and Cybernetics (SMC), San Diego, CA, Oct. 5-8, 2014, pp. 2587-2592.
李慧芳，宋长刚，董训，胡耀光。考虑物流服务的制造云服务组合与优化方法研究。北京理工大学学报（自然科学版），2014，Vol. 34, No. 2, pp. 171-175.
李慧芳，张平，黄鸿，胡耀光。基于可信度本体模型及不确定性推理的情境感知应用研究。北京理工大学学报（自然科学版），2013, Vol. 33, No. 11, pp. 1145-1150.
李慧芳，董训，宋长刚。云制造服务智能搜索与匹配方法。计算机集成制造系统，2012, Vol. 18, No. 7, pp. 1485-1493.
李慧芳，冯复剑。时间约束工作流的截止期限管理及其动态验证。北京理工大学学报（自然科学版），2011, Vol. 31, No. 8, pp. 937-943.
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