2018年秋季 Python语言程序设计 东莞理工学院杨振宁创新班2018级

2019年春季 C语言程序设计基础　东莞理工学院杨振宁创新班2018级

[1] 2014年国家自然科学基金青年基金项目：HEp-2细胞间接荧光免疫图像识别方法研究 (61303189)；

Selected:

[1] Kuan Li, Zhi Lu, Liu Wenyin, Jianping Yin. Cytoplasm and Nucleus Segmentation in Cervical Smear Images using Radiating GVF Snake, Pattern Recognition, Vol. 45 (2012), No.2, pp.1255-1264, SCI, 2017 年 3 月进入 ESI ENGINEERING 学科前 10% 层次

[2] Kuan Li, Xiangfei Kong, Zhi Lu, Liu Wenyin, Jianping Yin. Boosting weighted ELM for imbalanced learning. Neurocomputing 128: 15-21 (2014), SCI, 2017 年 10 月进入 ESI COMPUTER SCIENCE 学科前 10% 层次

[3] Xiangfei Kong, Kuan Li, Jingjing Cao, Qingxiong Yang and Liu Wenyin. HEp-2 Cell Pattern Classification with Discriminative Dictionary Learning, Pattern Recognition, Vol.47(2014), No. 7, pp.2379-2388. SCI

[4] Xiangfei Kong, Kuan Li, Qingxiong Yang, Liu Wenyin and Ming-Hsuan Yang. A New Image Quality Metric for Image Auto-Denoising, 14th IEEE International Conference on Computer Vision (ICCV2013) , pages 2888-2895, Darling Harbour, Sydney, Australia, Dec. 3-6 2013, CCF A 类会议

[5] 李宽,殷建平,李永. 基于 Gabor 系数分块统计和自适应特征选择的人脸描述与识别. 计算机研究与发展,第 49 卷 (2012 年) 第 4 期. pp.777-784, EI

[6] Lili Zhao, Kuan Li, Jianping Yin, Qiang Liu, Siqi Wang. Complete three-phase detection framework for identifying abnormal cervical cells, IET Image Processing, Vol. 11(2017), No. 4, pp.258-265,SCI

[7] Lili Zhao, Kuan Li, Mao Wang, Jianping Yin, En Zhu, Chengkun Wu, Siqi Wang, Chengzhang Zhu. Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF, Computers in Biology and Medicine, Vol. 71(2016), No. C, pp.46-56, SCI

[8] Kuan Li, Jianping Yin, Zhi Lu, Xiangfei Kong, Rui Zhang, Wenyin Liu. Multiclass boosting SVM using different texture features in HEp-2 cell staining pattern classification. ICPR 2012: 170-173. EI

[1] 2015 年度湖南省优秀博士学位论文:

细胞图像的分割、纹理提取及识别方法研究

[2] 2015 年度湖南省自然科学一等奖 (5/6)

(a) 医学图像处理，人工智能＋健康医疗;

(b) 人工智能／机器学习中的安全问题;

(c) 以上相关算法的并行化与实时化 (parallel and real-time processing)