姓名: 李雪威
北洋园校区55楼B303
lixuewei@tju.edu.cn

个人简介

李雪威：博士，副教授，博导。 研究方向为图像处理、计算机视觉、知识图谱，主要内容包括图像分类、分割、域自适应、弱监督学习等，主要应用领域为医学超声影像分析。 科研方面，已在国内外期刊、会议上发表学术论文60余篇，获专利授权十余项，软件著作权5项，并担任十余种国际期刊的审稿人。主持或参与国家级项目6项，省部级项目多项。教学方面，承担多门专业基础课、核心课。主持教改项目6项，参与省部级或学会级以上教改项目十余项，发表教改论文多篇。获省部级以上教学奖励十余项。

    科研兴趣

  • 甲状腺结节超声辅助诊断
    面向医学影像诊断难点，结合人工智能方法与医学影像诊断标准予以解决，构建系列辅助诊断模型，提高诊断效率和精度。
  • AI模型域自适应问题
    面向多源数据，采用元学习、对比学习等多种方式，提高AI模型对多域数据的泛化性。
  • 深度学习模型可解释性
    面向模型可理解性和信任度，研究模型内部的决策过程和原理，更好地解释和预测模型输出结果。

部分发表论文

  1. Xuewei Li, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu*, Hongwei Liu, Weiping Ding, Ruiguo Yu. A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learnin. Information Sciences, 2023, 629: 169-183.
  2. Ruiguo Yu, Yihang Zhao, Mei Yu, Jie Gao, Chenhan Wang, Ruixuan Zhang, Xuewei Li *. Region-Specific Prototype Customization for Weakly Supervised Semantic Segmentation. ECAI 2023.
  3. Ruiguo Yu, Shaoqi Yan, Jie Gao, Mankun Zhao, Xuzhou Fu, Yang Yan, Ming Li, and Xuewei Li*. FBN: Weakly Supervised Thyroid Nodule Segmentation Optimized by Online Foreground and Background Ultrasound in Medicine & Biology. 2023.
  4. Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu*, Ruiguo Yu. Multi-Intentions Oriented Contrastive Learning for Sequential Recommendation. Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining. 2023: 411-419. WSDM.
  5. Ruixuan Zhang, Wenhuan Lu, Jie Gao, Yuan Tian, Xi Wei, Chenhan Wang, Xuewei Li* and Mei Yu. RFI-GAN: A Reference-guided Fuzzy Integral Network for Ultrasound Image Augmentatio. Information Sciences. 2022.12.
  6. Xuewei Li, Shuo Pang, Ruixuan Zhang, Jialin Zhu, Xuzhou Fu, Yuan Tian, and Jie Gao*. ATTransUNet: An Enhanced Hybrid Transformer Architecture for Ultrasound and Histopathology Image Segmentatio. Computers in Biology and Medicine. 2022.11.
  7. Xuewei Li, Song Yi, Ruixuan Zhang, Xuzhou Fu, Han Jiang, Chenhan Wang, Zhiqiang Liu, Jie Gao, Jian Yu, Mei Yu*, and Ruiguo Yu. Dynamic Sample Weighting for Weakly Supervised Object Detection. Image and Vision Computing. 2022.03.
  8. Xuewei Li, Jinming Ma, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Mei Yu*, Ruiguo Yu. HAPZSL: A Hybrid Attention Prototype Network for Knowledge Graph Zero-Shot Relational Learnin. Neurocomputing, 2022, 508: 324-336.
  9. Ruixuan Zhang, Wenhuan Lu, Xi Wei, Jialin Zhu, Han Jiang, Zhiqiang Liu, Jie Gao, Xuewei Li*, Jian Yu, Mei Yu, and Ruiguo Yu. A Progressive Generative Adversarial Method for Structurally Inadequate Medical Image Data Augmentation . IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 2022.
  10. Xiang Ying, Zechen Meng, Mankun Zhao, Mei Yu, Shirui Pan, and Xuewei Li*. Gated graph convolutional network with enhanced representation and joint attention for distant supervised heterogeneous relation extraction. World Wide Web(WWWJ) 2021.12.11.
  11. Mei Yu, Junbin Wei, Chenhan Wang, Han Jiang, Jian Yu, Ruixuan Zhang, Xuewei Li(*), RuiguoYu. EDGE ENHANCEMENT NETWORK FOR WEAKLY SUPERVISED SEMANTIC SEGMENTATION . IEEE International Conference on Multimedia and Expo (ICME) 2021.
  12. Xiang Ying, Yulin Zhang, Xi Wei, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, Xuewei Li*, Ruiguo Yu*. MSDAN: Multi-Scale Self-Attention Unsupervised Domain Adaptation Network for Thyroid Ultrasound Images[C]. BIBM, 2020, 871-876.
  13. Ruiguo Yu, Jiachen Hu, Mei Yu, Xi Wei, Han Jiang, Jialin Zhu, Zhiqiang Liu, Jie Gao, and Xuewei Li*. Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image[C]. BIBM, 2020, 1210-1214.
  14. Mei Yu, Zhuo Zhang, Xuewei Li*, Jian Yu, Jie Gao, Zhiqiang Liu, Bo You, Xiaoshan Zheng, Ruiguo Yu*. Superposition Graph Neural Network for offshore wind power prediction [J]. , 2020, 113, 145-157.
  15. Ziyu Bai, Luchen Chang, Ruiguo Yu, Xuewei Li*, Xi Wei*, Mei Yu, Zhiqiang Liu, Jie Gao, Jialin Zhu, Yulin Zhang, Shuaijie Wang, ZhuoZhang. Thyroid nodules risk stratification through deep learning based on ultrasound images [J]. Medical Physics, 2020, 47(11): 6455-6465.
  16. Xuewei Li, Shuaijie Wang, Xi Wei, Jialin Zhu, Ruiguo Yu*, Mankun Zhao, Mei Yu, Zhiqiang Liu, Shupei Liu. Fully Convolutional Networks for Ultrasound Image Segmentation of Thyroid Nodules[C]. 2018 IEEE 20th International Conference on High Performance Computing and Communications. 2018:886-890.
  17. Ruiguo Yu, Zhiqiang Liu, Xuewei Li, Wenhuan Lu, Degang Ma, Mei Yu, Jianrong Wang, Bin Li. Scene learning: Deep convolutional networks for wind power prediction by embedding turbines into grid space. Applied Energy, Volume 238, Pages 249-257.
  18. Ruiguo Yu, Kai Liu, Xi Wei, Jialin Zhu, Xuewei Li*, Jianrong Wang, Xiang Ying, and Zhihui Yu. Localization of Thyroid Nodules in Ultrasonic Images[C]. // International Conference on Wireless Algorithms, Systems, and Applications. Springer, 2018:635-646.
  19. Xiang Ying, Zhihui Yu, Ruiguo Yu, Xuewei Li, Mei Yu, Mankun Zhao, Kai Liu. Thyroid Nodule Segmentation in Ultrasound Images Based on Cascaded Convolutional Neural Network. International Conference on Neural Information Processing 2018.
  20. Ruiguo Yu, Xuzhou Fu, Han Jiang, Chenhan Wang, Xuewei Li, Mankun Zhao, Xiang Ying, Hongqian Shen. Remote Sensing Image Segmentation by Combining Feature enhanced with Fully Convolutional Network. International Conference on Neural Information Processing 2018.
  21. Jing Li, Xuewei Li, Wenjun Wang, Shuyu Shi, Ruixin Song. The Consistency Analysis of Urban Land Function with Communication Network and Human Behavior Patterns. WCSE 2017.
天津大学 | 智能与计算学部