个人简历

姓名：万玉钗

部门：betway88西汉姆网页计算机系

研究方向

主要研究领域：智能图像分析、数据挖掘、信息检索。

教育经历

2007.9 — 2011.6 北京理工大学 计算机科学与技术（本科）

2011.9 — 2017.6 北京理工大学 计算机应用（博士）

学术成果

[1] Yuchai Wan, Shuqin Jia, Yifan Li, et al. A hierarchical fine-grained classification approach for COVID-19 severity assessment based on CT images, Computers and Electrical Engineering, 2023, 112, 109011.

[2] Yuchai Wan, Yifan Li, Shuqin Jia, et al. A Novel Full-Scale Skip Connections Approach Based on U-Net for COVID-19 Lesion Segmentation in CT Images. International Symposium on Artificial Intelligence and Robotics, 2023, pp. 226-237.

[3] Yuchai Wan; Zhongshu Zheng; et al. A Multi-Scale and Multi-Level Fusion Approach for Deep Learning-Based Liver Lesion Diagnosis in Magnetic Resonance Images with Visual Explanation, Life, 2021, 11(6): 1-16

[4] Yuchai Wan; Hongen Zhou; Xun Zhang. An Interpretation Architecture for Deep Learning Models with the Application of COVID-19 Diagnosis, Entropy, 2021, 23(2): 1-19

[5] Said Boumaraf, Xiabi Liu, Yuchai Wan, et al. Conventional Machine Learning versus Deep Learning for Magnification Dependent Histopathological Breast Cancer Image Classification: A Comparative Study with Visual Explanation. 2021, Diagnostics.

[6] Yuchai Wan, Xiabi Liu, Yi Wu, et al. ICGT: A novel incremental clustering approach based on GMM tree. Data & Knowledge Engineering, 2018. 09. Volume 117, pp. 71-86

[7] Yuchai Wan, Xiabi Liu, Yi Wu. CD-Tree: A clustering-based dynamic indexing and retrieval approach[J]. Intelligent Data Analysis, 2017, 21(2): 243-261.

[8] Yuchai Wan, Xiabi Liu, Yuyang Tang. Simplifying gaussian mixture model via model similarity[C]. International Conference on Pattern Recognition, 2016, Dec 4-8.

[9] Yuchai Wan, Xiabi Liu, Feifei Han, et al. Online learning a binary classifier for improving Google image search results[J]. 自动化学报, 2014, 40(8): 1699-1708.

[10] Yuchai Wan, Xiabi Liu, Kunqi Tong, et al. GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces[C]. International Conference on Neural Information Processing, 2012: 210-217.

[11] Yuchai Wan, Xiabi Liu, Jie Bing, et al. Online image classifier learning for Google image search improvement[C]. IEEE International Conference on Information and Automation, 2011:103-110.

专利

[1]一种基于多尺度多层次融合的图像分类方法，2023，ZL2020109321906

[2] 一种基于深度强化学习算法的肺结节分析方法及装置，2023，ZL2019109943418

[3] 一种高斯混合模型树及其递增聚类方法，2017，ZL2014100350560

科研项目

(1) 北京市自然科学基金项目，2024-01 至 2025-12，在研，主持

(2) 北京市属高校教师队伍建设支持计划优秀青年人才, BPHR202203046, 2023-01 至 2025-12, 在研, 主持

(3) 事业单位委托项目，2022341, 2022-12 至 2023-12, 在研，主持

(4) 北京市教委科研计划一般项目, KM202010011012, 2020-01 至 2022-12, 15万元, 结题, 主持

(5) 北京市自然科学基金项目, 4202016, 2020-01 至 2022-12, 结题, 参与

(6)国家科技计划项目申报中心重点研发计划（子课题）, 2018YFC1603602, 2019-01 至 2021-12, 结题, 参与

(7) 国家自然科学基金项目, 61972010, 2020-01-01 至 2023-12-31, 结题, 参与

(8) betway88官网手机版青年教师启动基金项目, QNJJ2019-23, 2018-10 至 2020-10, 8万元, 结题, 主持

教学工作

（1）主讲本科生课程《编译原理》，参与讲授《计算机网络》

（2）主讲研究生课程《深度学习》

奖励及其他

（1）北京市教育教学成果奖二等奖，个人排名第三

（2）betway88官网手机版首届教学名师、教学标兵评选最受学生欢迎奖

社会兼职

担任中国图象图形学学会可视化与可视分析专业委员会委员