康艳晴
——2024届硕士研究生——
🔹🔹🔹🔹🔹 康艳晴 🔹🔹🔹🔹🔹
康艳晴,计算机学院2024届硕士研究生,师从张枢教授,研究方向为大脑功能与结构一致性研究。在校期间曾获一等学业奖学金、校优秀毕业生、校优秀研究生等奖励及荣誉。以学生第一作者发表两篇论文(一篇医学影像顶会,一篇EI 会议),在投SCI二区一篇,作为共同作者参与并发表高水平论文6篇,申请并公开国家发明专利1项,参与西北工业大学研究生创新基金1项。毕业后,她将入职西安中兴新软件有限责任公司,在工作岗位上继续努力。
毕业去向:西安中兴新软件有限责任公司
毕业寄语:没有一个冬天不可逾越,没有一个春天不会来临。
· 研究方向
大脑功能与结构一致性研究
· 邮箱
· 代表论文
方法 | 题目 | 链接 |
---|---|---|
Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang. A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Cham: Springer Nature Switzerland, 2022: 191-200. | [PaperLink] |
· 出版论文
[1] Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang. A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Cham: Springer Nature Switzerland, 2022: 191-200.
[2] Shu Zhang, Ruoyang Wang, Junxin Wang, Zhibin He, Jinru Wu, Yanqing Kang, Yin Zhang, Huan Gao, Xintao Hu, Tuo Zhang. Differentiate preterm and term infant brains and characterize the corresponding biomarkers via DICCCOL-based multi-modality graph neural networks. Frontiers in Neuroscience, (fnins), 2022.
[3] Shu Zhang, Haiyang Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu. A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach. International Symposium on Biomedical Imaging (ISBI), 2022.
[4] Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Weizhong Liu, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang. MEET: Multi-band EEG Transformer. IEEE Transactions on Biomedical Engineering (T-BME), 2023.