姓名：林奕

职称职务：副教授

                 博士生导师

                 硕士生导师

研究方向：生物信息学

                 医疗图像处理

                 医疗文本处理

                 多模态分析

                 人工智能

E-mail: linyi@hrbmu.edu.cn

林奕，工学博士，副教授，博士/硕士生导师。主要从事医疗领域中的人工智能方法研究，包括生物信息学、医疗图像处理、医疗文本处理、多模态信号处理等。论文发表在Nature Communications、Genome Biology、JBHI、ESWA、CMPB、BIBM等国际期刊和会议上，以第一作者或通信作者发表论文10余篇。担任JBHI、ESWA、BIBM等期刊和会议的审稿人。欢迎对医疗领域中的人工智能研究感兴趣的学生报考。

教育经历

2020.09——2024.06    哈尔滨工业大学  计算机科学与技术  博士

2018.09——2020.06    哈尔滨工业大学  软件工程       硕士

2014.09——2018.06    哈尔滨工程大学  软件工程       学士

工作经历

2024.10——至今     哈尔滨医科大学   医工交叉学院         特聘教授

发表论文

1. Wenyi Yang#, Pingping Wang#, Shouping Xu#, Tao Wang, Meng Luo, Yideng Cai, Chang Xu, Guangfu Xue, Jinhao Que, Qian Ding, Xiyun Jin, Yuexin Yang, Fenglan Pang, Boran Pang, Yi Lin, Huan Nie, Zhaochun Xu*, Yong Ji*, Qinghua Jiang*, Deciphering cell–cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network. Nat Commun 15, 7101 (2024). (IF: 14.7、中科院1区top、JCR Q1)

2. Qian Ding#, Wenyi Yang#, Guangfu Xue#, Hongxin Liu, Yideng Cai, Jinhao Que, Xiyun Jin, Meng Luo, Fenglan Pang, Yuexin Yang, Yi Lin, Yusong Liu, Haoxiu Sun,   Renjie Tan, Pingping Wang*, Zhaochun Xu*, Qinghua Jiang*, Dimension reduction, cell clustering and cell-cell communication inference for single-cell transcriptomics with DcjComm. Genome Biology, 2024 Sep 9;25(1):241. (IF: 10.1、中科院1区top、JCR Q1)

3. L Yan, Y Guan, H Wang, Y Lin, Y Yang, B Wang, J Jiang, EIRAD: An Evidence-based Dialogue System with Highly Interpretable Reasoning Path for Automatic Diagnosis[J]. IEEE Journal of Biomedical and Health Informatics, 2024. (IF: 6.7、中科院1区top、JCR Q1)

4. Y Lin, H Wang, J Jiang, KRC-APM: Key region cutting and artificial prior model for breast cancer recognition in ultrasound images[J]. Expert Systems with Applications, 2024, 257: 125092. (IF: 7.5、中科院1区top、JCR Q1)

5. Y Lin, J Jiang, D Chen, Z Ma, Y Guan, X Liu, H You, J Yang, Ded: Diagnostic evidence distillation for acne severity grading on face images[J]. Expert Systems with Applications, 2023, 228: 120312. (IF: 7.5、中科院1区top、JCR Q1)

6. Z Zhang, J Jiang, R Dong, C Kong, Y Guan, X Liu, H You, J Yang, Y Lin*, Clarifying Confusion in Acne Severity Grading via Visualized Aggregation and Separation of Deep Representation[C]//2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023: 3430-3437. （CCF-B国际会议）

7. Z Zhang, JW Lim, Y Zheng, B Chen, D Chen, Y Lin*, REAF: ROI Extraction and Adaptive Fusion for Breast Cancer Diagnosis in Ultrasound Images[C]//2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023: 3422-3429. (CCF-B国际会议)

8. Z Zhang, Z Liu, J Jiang, C Kong, Y Guan, X Liu, H You, J Yang, Y Lin*, Interpretable Diagnosis of Face Acne via Complementation Learning of Evidence Localization and Severity Level Grading[C]//2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023: 3414-3421. (CCF-B国际会议)

9. Y Lin, J Jiang, D Chen, Z Ma, Y Guan, X Liu, H You, J Yang, X Cheng, Acne severity grading on face images via extraction and guidance of prior knowledge[C]//2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022: 1639-1643.(CCF-B国际会议)

10. Y Lin, J Jiang, Z Ma, D Chen, Y Guan, X Liu, H You, J Yang, X Cheng, Cgpg-gan: An acne lesion inpainting model for boosting downstream diagnosis[C]//2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022: 1634-1638. (CCF-B国际会议)

11. Y Lin, J Jiang, Z Ma, D Chen, Y Guan, H You, X Cheng, B Liu, G Luo, Kieglfn: A unified acne grading framework on face images[J]. Computer methods and programs in biomedicine, 2022, 221: 106911. (IF: 5.5、中科院2区 top、JCR Q1)

12. Y Lin, Y Guan, Z Ma, H You, X Cheng, J Jiang, An acne grading framework on face images via skin attention and sfnet[C]//2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2021: 2407-2414. (CCF-B国际会议)