Longyue Li | Optimization Techniques | Best Researcher Award

Prof Dr. Longyue Li | Optimization Techniques | Best Researcher Award

Prof Dr. Longyue Li at Air Force Engineering University, China

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Dr. Longyue Li is an Associate Professor of Operations Research at Air Force Engineering University, recognized for his contributions to decision theory, intelligent algorithm design, and military logistics.

๐Ÿ“š Academic Background

Dr. Longyue Li serves as an Associate Professor at the Air Force Engineering University. He holds a Ph.D. in Operations Research and has an impressive academic record with over 40 published papers, 12 patents, and four academic monographs.

๐ŸŽ“ Education

Dr. Li earned his Ph.D. in Operations Research and completed postdoctoral research funded by the China Postdoctoral Science Foundation, further enhancing his expertise in the field.

๐Ÿ’ผ Professional Experience

With over 8 years as an Associate Professor at Air Force Engineering University, Dr. Li has significantly contributed to the field. He is also an Editorial Board Member for the Journal of Ordnance and Equipment Engineering. His professional collaborations include projects with XiDian University and Northwestern Polytechnical University.

๐Ÿ” Research Interests

Dr. Liโ€™s research spans several key areas: Decision Theory and Methods, Intelligent Algorithm Design, Real-time Decision Support Systems, Complex Network Analysis, and Military Logistics and Operations Research.

๐Ÿ† Achievements

Dr. Li has led national projects funded by the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. His work has resulted in over 40 papers in prestigious journals, 12 patents, and four academic monographs. Notably, his research has been instrumental in logistics planning and continues through ongoing university collaborations.

๐Ÿ“– Publications

Optimization of Predefined-Time Agent-Scheduling Strategy Based on PPO
    • Authors: Dingding Qi, Yingjun Zhao, Longyue Li, Zhanxiao Jia
    • Journal: Mathematics
    • Year: 2024
A Novel Softplus Linear Unit for Deep Convolutional Neural Networks
    • Authors: Zhao, H.; Liu, F.; Li, L.; Luo, C.
    • Journal: Applied Intelligence
    • Year: 2018
Defense Effectiveness Analysis of Multi-Mode Shooting to Multi-Type Targets
    • Authors: Li, L.; Liu, F.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.
    • Journal: PLoS ONE
    • Year: 2017
Improving Deep Convolutional Neural Networks with Mixed Maxout Units
    • Authors: Zhao, H.-Z.; Liu, F.-X.; Li, L.-Y.; Luo, C.
    • Journal: Tongxin Xuebao/Journal on Communications
    • Year: 2017
Differential Game Model and Solving Method for Missile Pursuit-Evasion
    • Authors: Li, L.; Liu, F.; Shi, X.; Wang, J.
    • Journal: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
    • Year: 2016