教育经历：
1）2005年7月于山东大学（威海）信息工程学院自动化专业获学士学位，保送读研；
2）2007年12月于国防科技大学机电工程与自动化学院控制科学与工程专业获硕士学位，获评国防科技大学优秀硕士毕业生（全校比例2%）；
3）2010年9月至2012年9月，赴香港城市大学电脑科学系联合培养；
4）2012年12月于国防科技大学计算机学院计算机科学与技术专业获博士学位，博士论文获评湖南省优秀博士学位论文（全省所有学科当年共评选50篇）。
工作经历：
1） 2013年1月至2018年8月，国防科技大学计算机学院，任助理研究员；
2） 2018年9月加入东莞理工学院工作至今。
主持项目（近3年/2023.1至今）：
●国家重点研发计划子课题：混合精度自动分析与评测，2023.11-2026.10
●军科委XX基础预研项目: XX编译优化关键技术研究,2023.1-2025.12
●横向项目: C语言安全子集检测模块,2023.3-2023.9
●横向项目：面向异构超算平台的多解算器自适应适配，2023.11-2026.10
●东莞市社科重点项目：基于弱监督学习的医学图像分割方法，2023.5-2026.4
●专利转化项目，2026.1立项
发表文章（近3年/2023.1至今；只含C类以上,通讯及一作）:
[1]Lianghao Gong, Zhuohao Deng, Zhuohao Ning, Kuan Li(*) and Jianping Yin. OCP-YOLO: Occlusion-Aware and Cross-Modal Progressive Fusion for UAV Small Object Detection. International Conference on Intelligent Computing(ICIC). Springer. 2026. CCF C类会议.
[2]Zhuohao Ning, Linwei Yao, Yiyuan Cheng, Lianghao Gong, Kuan Li(*) and Jianping Yin. CMRAF: Cross-Modal Refinement and Adaptive Fusion Network for Joint Registration and Fusion of Multi-Modal Medical Images. 29th International Conference on Computer Supported Cooperative Work in Design(CSCWD). 2026. CCF C类会议.
[3]Chuanying Li, Zhe Quan, Kuan Li(*) and Kenli Li. A Deep Reinforcement Learning Framework for Imbalanced Medical Image Classification. 2025 IEEE International Symposium on Parallel and Distributed Processing with Applications(ISPA). IEEE. 2025.10. CCF C类会议.
[4] Lianghao Gong, Yiyuan Cheng, Zhuohao Deng, Kuan Li(*) and Jianping Yin. EIL-YOLO: A Lightweight Model for Enhanced Small Object Detection in UAV Images. International Conference on Intelligent Computing(ICIC). Springer Nature Singapore. 2025.7. CCF C类会议.
[5]Yiyuan Cheng, Lianghao Gong, Zhuohao Ning, Kuan Li(*) and Jianping Yin. Using an Improved Lightweight YOLOv11 Model for Fuzzy Image Object Detection. International Conference on Intelligent Computing(ICIC). Springer Nature Singapore. 2025.7. CCF C类会议.
[6]Linwei Yao, Kuan Li(*), Huiying Xu, Xinzhong Zhu and Hongbo Li. Multi-Q3IM: Job Dynamic Task Scheduling Based on Multi-agent Deep Reinforcement Learning in Resource-Constrained Environments. International Conference on Intelligent Computing(ICIC). Springer. 2025.7. CCF C类会议.
[7]Guojian Xiao, Haoxuan Pi, Yifan Bai, Kuan Li(*) and Jianping Yin. PreTuner: Compiler Flag Auto-Tuning Based on Iterative Compilation and Predictive Model. 28th International Conference on Computer Supported Cooperative Work in Design(CSCWD). IEEE. 2025.5. CCF C类会议.
[8]Linwei Yao, Kuan Li(*), Huiying Xu, Xinzhong Zhu and Hongbo Li. Multi-DAT: Dynamic Job Task Scheduling Method Based on Multi-Agent Reinforcement Learning. 28th International Conference on Computer Supported Cooperative Work in Design(CSCWD). IEEE. 2025.5. CCF C类会议.
[9]Pin Xu, Xiongjiang Xiao, Weimin Yuen, Yanyi Li, Kuan Li(*) and Jianping Yin. Synthetic Images with Dense Annotations and Ensemble Learning for DFU Segmentation. International Conference on Pattern Recognition(ICPR). Springer. 2024.12. CCF C类会议.
[10]Qichao Chen, Kuan Li(*), Zhiyuan Chen, Tomas Maul and Jianping Yin. Exploring Feature Sparsity for Out-of-Distribution Detection. Scientific Reports. Vol14, 28444. 2024.11. SCI, JCR Q1.
[11]Haoyuan Chen, Siyuan Zhou, Kuan Li(*), Jianping Yin and Jian Huang. A Hybrid Framework for Referring Image Segmentation: Dual-Decoder Model with SAM Complementation. Mathematics. Vol 12(19), 3061. MDPI. 2024.10. SCI, JCR Q1.
[12]Linwei Yao, Qichao Chen, Lianghao Gong and Kuan Li(*). Multi-NPDQ: A Multi-Agent Approach Through Deep Reinforcement Learning for Operation Scheduling. International Conference on Intelligent Computing(ICIC). Springer. 2024.8. CCF C类会议.
[13]Pin Xu, Yanyi Li, Yufei Han, Haoyuan Chen, Kuan Li(*) and Jianping Yin. Leveraging Sample Complementarity: A Novel Ensemble Strategy. International Joint Conference on Neural Networks(IJCNN). Yokohama, Japan: IEEE. 2024.6. CCF C类会议.
[14]Guojian Xiao, Siyuan Qin, Kuan Li(*), Juan Chen and Jianping Yin. EAtuner: Comparative Study of Evolutionary Algorithms for Compiler Auto-tuning. 27th International Conference on Computer Supported Cooperative Work in Design(CSCWD). IEEE. 2024.5. CCF C类会议.
[15]Yufei Han, Haoyuan Chen, Linwei Yao, Kuan Li(*) and Jianping Yin. MAT-VIT: A Vision Transformer with MAE-Based Self-Supervised Auxiliary Task for Medical Image Classification. 27th International Conference on Computer Supported Cooperative Work in Design(CSCWD). IEEE. 2024.5. CCF C类会议.
[16]Haoyuan Chen, Yufei Han, Yanyi Li, Pin Xu, Kuan Li(*) and Jianping Yin. MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data. Chinese Conference on Pattern Recognition and Computer Vision(PRCV). Springer. 2023.12. CCF C类会议.
[17]Kuan Li(*), Qianzhi Lian, Can Gao and Fuyong Zhang. AatMatch: Adaptive Adversarial Training in Semi-Supervised Learning Based on Data-Driven Decision-Making Models. Systems. Vol 11(5), 256. MDPI. 2023.5. SCI, JCR Q1.
[18]Kuan Li(*), Bin Ao, Xin Wu, Qing Wen, Ejaz Ul Haq and Jianping Yin. Parkinson's Disease Detection and Classification using EEG Based on Deep CNN-LSTM Model. Biotechnology and Genetic Engineering Reviews. Taylor & Francis. 2023.4. SCI, JCR Q3.
[19]Kuan Li(*), Kang He, Stef Graillat, Hao Jiang, Tongxiang Gu and Jie Liu. Multi-level Parallel Multi-layer Block Reproducible Summation Algorithm. Parallel Computing. Vol 115, 102996. Elsevier. 2023.2. SCI, JCR Q3; CCF B类期刊.
