职称：

Job Title:

教授

Professor

学历（学位）

Degree

博士研究生

Doctor

联系邮箱：

Email:

likuan@dgut.edu.cn

Ph.D. supervisor, Distinguished Talent of Dongguan City, Senior Member of the China Computer Federation (CCF), and Executive Committee Member of the CCF Technical Committee on Theoretical Computer Science. Recipient of the Hunan Province Outstanding Doctoral Dissertation Award, China Industry-University-Research Collaboration Innovation Award, First Prize of Hunan Natural Science Award, and First Prize of Hunan Computer Society Science and Technology Award. Engaged in long-term research in compiler optimization, high-performance computing, and artificial intelligence, with a primary focus on building domestic IT application innovation ecosystems, optimizing supercomputing application performance, and applying deep learning algorithms. Has led multiple national-level research projects. Additionally, has directed numerous industry-academia collaboration projects.

主要研究方向及内容

Main Research area and subject

机器学习、医学图像处理、编译优化与并行计算、人工智能安全

machine learning, medical image processing, compiler optimization and parallel computing, AI security

主要成果

Main achievement

[selected papers, since 2022]

[1] Linwei Yao, Qichao Chen, Lianghao Gong, Kuan Li(*) and Jianping Yin. MultiNPDQ: A Multi-Agent Approach Through Deep Reinforcement Learning for Carrier-based Aircraft Deck Operation Scheduling. International Conference on Intelligent Computing(ICIC). Springer. 2024.8.

[2] 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.

[3] Guojian Xiao, Siyuan Qin, Kuan Li(*) and Jianping Yin. EAtuner: Comparative Study of Evolutionary Algorithms for Compiler Auto tuning. 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD). 2024.5.

[4] 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). 2024.5.

[5] Haoyuan Chen, Yufei Han, Yanyi Li, Pin Xu, Kuan Li(*) and Jianping Yin. MS-UNet: SwinTransformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data, Chinese Conference on Pattern Recognition and Computer Vision(PRCV). Cham: Springer Nature Switzerland, 2023.

[6] Kuan Li,Qianzhi Lian,Can Gao,Fuyong Zhang.AatMatch: Adaptive Adversarial Training in Semi-Supervised Learning Based on Data-Driven Decision-Making Models.Systems.2023.5, SCI, JCR Q2

[7] Kuan Li, Bin Ao, Xin Wu, Qing Wen, Ejaz UI Haq, Jianping Yin. Parkinson’s disease Detection and Classification using EEG based on Deep CNN-LSTM Model. Biotechnology and Genetic Engineering Reviews. 2023.4, SCI, JCR Q2

[8] 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, 2023.2, 102996, SCI,CCF B

[9] Yawei Zhao, Shuang Qiu, Kuan Li, Lailong Luo, Jianping Yin, Ji Liu: Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7755-7764 (2022), SCI, JCR Q1

[10] Qichao Chen,Wenjie Jiang,Kuan Li(*).Improving Energy-based Out of distribution Detection by Sparsity Regularization.The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD-22).

[11] Rong Liu, Bin Ao, Qing Wen, Xin Wu, Jianping Yin and Kuan Li(*). Combining ExtremeNet with Shape Constraints and Re-Discrimination to Detect Cells from CD56 Images. 2022 26th International Conference on Pattern Recognition (ICPR)