教育教学获奖

• 国家级一流本科课程，程序设计原理，教育部
• 工程类专业学位研究生在线示范课程，数据挖掘，全国工程专业学位研究生教育指导委员会
• 天津市一流本科课程，程序设计原理，天津市教育委员会
• 天津市教学成果奖二等奖，天津市人民政府
• 优秀教学案例一等奖，程序设计原理，教育部高等学校计算机类专业教学指导委员会

教材

• 《程序设计算法基础》，清华大学出版社，普通高等教育“十一五”国家级规划教材，2023.07
• 《计算机组成与体系结构（原书第4版）（翻译）》，张钢，魏继增，李雪威 等 译，机械工业出版社，2019.03，
• 《计算机组成原理》，张新荣，李雪威，于瑞国 主编，机械工业出版社，2009.03
• 《数据分析与数据挖掘（第2版）》，清华大学出版社，2020.09，“十三五”国家重点图书出版规划项目
• 《智慧社会与大数据智能》，王文俊，李雪威 主编（待出版），高等教育出版社

主要教改项目

• 天津大学研究生创新人才培养项目——学科知识图谱构建方法研究，项目负责人，已完成
• 天津大学“三全育人”“五育并举”人才培养综合改革精品项目——人工智能卓越人才的项目制培养探索，项目负责人，已完成
• 天津大学本科教材建设项目——智慧社会与大数据智能，项目负责人，已完成
• 天津大学新工科新形态教学资源建设项目——行业知识图谱与大数据智能，项目负责人，在研

主要教改论文

• 新工科项目式教学多元融合评价方法研究，《高等工程教育研究》，CSSCI
• 基于自适应导学的程序设计类课程实践教学探索，《计算机教育》
• 新工科背景下双创能力多维培养模式探索，《实验室科学》
• 基于PBL的新工科项目制毕业设计实践过程解析，软件导刊
• 基于PBL的新工科项目制课程实践方法研究--以“行业知识图谱与大数据智能”本科毕设课程为例，中国高校计算机教育大会

近五年主要项目

• 基于标准化甲状腺结节超声影像数据集的智能辅助分析系统研发，天津市新一代人工智能科技重大专项项目，100万，2018-2021，参与
• 面向实时处理场景的人工智能图像分割模型研发，横向，200万，2023-2024，负责
• 国家重点研发计划，子课题，60万，2017-2019，主持
• 国家重点研发计划，子课题，50万，2022-2024，主持
• 海洋灾害及隐患一体化深度调查关键技术研究及示范应用，海南省重点研发，135万，2024-2027，参与
• 社会治理图片标签自动化生成方法，国家重点研发计划子课题，80万（其中地方配套30万），2023-2026，主持

代表性论文

• [1] Zhao, Mankun, Aitong Sun, Jian Yu, Xuewei Li, Dongxiao He, Ruiguo Yu, and Mei Yu. "Reliable Data Augmented Contrastive Learning for Sequential Recommendation." Ieee Transactions on Big Data, 2024.
• [2] Li, Xuewei, Hongwei Chen, Jian Yu, Mankun Zhao, Tianyi Xu, Wenbin Zhang, Mei Yu, and machinery Assoc computing. "Global Heterogeneous Graph and Target Interest Denoising for Multi-Behavior Sequential Recommendation." the 17th ACM International Conference on Web Search and Data Mining (WSDM), 2024.
• [3] Yu, Mei, Yeting Deng, Jie Gao, Han Jiang, Xuzhou Fu, Xuewei Li, and Zhiqiang Liu. "Zsdt: Zero-Shot Domain Translation for Real-World Super-Resolution." Image and Vision Computing, 2024.
• [4] Yu, Mei, Kun Zhu, Mankun Zhao, Jian Yu, Tianyi Xu, Di Jin, Xuewei Li, and Ruiguo Yu. "Learning Neighbor User Intention on User-Item Interaction Graphs for Better Sequential Recommendation." Acm Transactions on the Web, 2024.
• [5] Li, Xuewei, Guanrong He, Jian Yu, Zhiqiang Liu, Mei Yu, Weiping Ding, and Wei Xiong. "An Ultra-Short-Term Wind Speed Prediction Method Based on Spatio-Temporal Feature Decomposition and Multi Feature Fusion Network." the 19th International Conference on Advanced Intelligent Computing Technology and Applications (ICIC), 2023.
• [6] Li, Xuewei, Xinliang Li, Mankun Zhao, Ming Yang, Ruiguo Yu, Mei Yu, and Jian Yu. "Cliner: Exploring Task-Relevant Features and Label Semantic for Few-Shot Named Entity Recognition." Neural Computing & Applications, 2023.
• [7] Li, Xuewei, Chao Liu, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Mei Yu, and Ruiguo Yu. "Prototypical Attention Network for Few-Shot Relation Classification with Entity-Aware Embedding Module." Applied Intelligence, 2023.
• [8] Li, Xuewei, Jinming Ma, Jian Yu, Mankun Zhao, Mei Yu, Hongwei Liu, Weiping Ding, and Ruiguo Yu. "A Structure-Enhanced Generative Adversarial Network for Knowledge Graph Zero-Shot Relational Learning." Information Sciences, 2023.
• [9] Li, Xuewei, Jinming Ma, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Mei Yu, and Ruiguo Yu. "Hapzsl: A Hybrid Attention Prototype Network for Knowledge Graph Zero-Shot Relational Learning." Neurocomputing, 2022.
• [10] Li, Xuewei, Shuo Pang, Ruixuan Zhang, Jialin Zhu, Xuzhou Fu, Yuan Tian, and Jie Gao. "Attransunet: An Enhanced Hybrid Transformer Architecture for Ultrasound and Histopathology Image Segmentation." Computers in Biology and Medicine, 2023.
• [11] Yu, Ruiguo, Yingzhou Sun, Xuewei Li, Jian Yu, Jie Gao, Zhiqiang Liu, and Mei Yu. "Time Series Cross-Correlation Network for Wind Power Prediction." Applied Intelligence, 2023.
• [12] Yu, Mei, Tingxu Jiang, Jian Yu, Mankun Zhao, Jiujiang Guo, Ming Yang, Ruiguo Yu, and Xuewei Li. "Sepake: A Structure-Enhanced and Position-Aware Knowledge Embedding Framework for Knowledge Graph Completion." Applied Intelligence, 2023.
• [13] Yu, Mei, Qianyu Zhang, Jian Yu, Mankun Zhao, Xuewei Li, Di Jin, Ming Yang, and Ruiguo Yu. "Knowledge Graph Completion Using Topological Correlation and Multi-Perspective Independence." Knowledge-Based Systems, 2023.
• [14] Zhang, Ruixuan, 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 Augmentation." Information Sciences, 2023.
• [15] Zhang, Ruixuan, Wenhuan Lu, Xi Wei, Jialin Zhu, Han Jiang, Zhiqiang Liu, Jie Gao, et al. "A Progressive Generative Adversarial Method for Structurally Inadequate Medical Image Data Augmentation." Ieee Journal of Biomedical and Health Informatics, 2022.
• [16] Yu, Mei, Ming Han, Xuewei Li, Xi Wei, Han Jiang, Huiling Chen, and Ruiguo Yu. "Adaptive Soft Erasure with Edge Self-Attention for Weakly Supervised Semantic Segmentation: Thyroid Ultrasound Image Case Study." Computers in Biology and Medicine, 2022. (ESI Highly Cited)
• [17] Yu, Ruiguo, Yuan Tian, Jie Gao, Zhiqiang Liu, Xi Wei, Han Jiang, Yuxiao Huang, and Xuewei Li. "Feature Discretization-Based Deep Clustering for Thyroid Ultrasound Image Feature Extraction." Computers in Biology and Medicine, 2022.
• [18] Li, Xuewei, Song Yi, Ruixuan Zhang, Xuzhou Fu, Han Jiang, Chenhan Wang, Zhiqiang Liu, et al. "Dynamic Sample Weighting for Weakly Supervised Object Detection." Image and Vision Computing, 2022.
• [19] Wang, Jianrong, Nan Gu, Mei Yu, Xuewei Li, Qiang Fang, Li Liu, and Assoc Int Speech Commun. "An Attention Self-Supervised Contrastive Learning Based Three-Stage Model for Hand Shape Feature Representation in Cued Speech." the Interspeech Conference, 2021.
• [20] Wang, Jianrong, Ziyue Tang, Xuewei Li, Mei Yu, Qiang Fang, Li Liu, and Assoc Int Speech Commun. "Cross-Modal Knowledge Distillation Method for Automatic Cued Speech Recognition." the Interspeech Conference, 2021.
• [21] Ying, Xiang, Yulin Zhang, Xi Wei, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, Xuewei Li, and Ruiguo Yu. "Msdan: Multi-Scale Self-Attention Unsupervised Domain Adaptation Network for Thyroid Ultrasound Images." the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), Electr Network, 2020.
• [22] Ying, Xiang, Yulin Zhang, Mei Yu, Xi Wei, Jialin Zhu, Jie Gao, Zhiqiang Liu, et al. "Cascade Marker Removal Algorithm for Thyroid Ultrasound Images." Medical & Biological Engineering & Computing, 2020.
• [23] Yu, Mei, Zhuo Zhang, Xuewei Li, Jian Yu, Jie Gao, Zhiqiang Liu, Bo You, Xiaoshan Zheng, and Ruiguo Yu. "Superposition Graph Neural Network for Offshore Wind Power Prediction." Future Generation Computer Systems-the International Journal of Escience, 2020.
• [24] Yu, Ruiguo, 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." the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), 2020.
• [25] Bai, Ziyu, Luchen Chang, Ruiguo Yu, Xuewei Li, Xi Wei, Mei Yu, Zhiqiang Liu, et al. Thyroid Nodules Risk Stratification through Deep Learning Based on Ultrasound Images. Medical Physics, 2020.
• [26] Yu, Ruiguo, Zhiqiang Liu, Xuewei Li, Wenhuan Lu, Degang Ma, Mei Yu, Jianrong Wang, and Bin Li. "Scene Learning: Deep Convolutional Networks for Wind Power Prediction by Embedding Turbines into Grid Space." Applied Energy, 2019.
• [27] Wang, Jianrong, Ruixuan Zhang, Xi Wei, Xuewei Li, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, and Ruiguo Yu. "An Attention-Based Semi-Supervised Neural Network for Thyroid Nodules Segmentation." the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019.
• [28] Li, Xuewei, Hongqian Shen, Mei Yu, Xi Wei, Jiang Han, Jialin Zhu, Jie Gao, et al. "Blind Image Inpainting Using Pyramid Gan on Thyroid Ultrasound Images." the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019.
• [29] Li, Xuewei, Hongqian Shen, Chenhan Wang, Han Jiang, Ruiguo Yu, Jianrong Wang, and Mankun Zhao. "Dual-Convolutional Enhanced Residual Network for Single Super-Resolution of Remote Sensing Images." the 25th International Conference on Neural Information Processing (ICONIP), 2018.
• [30] Li, Xuewei, Shuaijie Wang, Xi Wei, Jialin Zhu, Ruiguo Yu, Mankun Zhao, Mei Yu, et al. "Fully Convolutional Networks for Ultrasound Image Segmentation of Thyroid Nodules." the 20th IEEE International Conference on High Performance Computing and Communications (HPCC), 2018.
• [31] Ying, Xiang, Zhihui Yu, Ruiguo Yu, Xuewei Li, Mei Yu, Mankun Zhao, and Kai Liu. "Thyroid Nodule Segmentation in Ultrasound Images Based on Cascaded Convolutional Neural Network." the 25th International Conference on Neural Information Processing (ICONIP), 2018.
• [32] Yu, Ruiguo, Xuzhou Fu, Han Jiang, Chenhan Wang, Xuewei Li, Mankun Zhao, Xiang Ying, and Hongqian Shen. "Remote Sensing Image Segmentation by Combining Feature Enhanced with Fully Convolutional Network." the 25th International Conference on Neural Information Processing (ICONIP), 2018.
• [33] Yu, Ruiguo, Kai Liu, Xi Wei, Jialin Zhu, Xuewei Li, Jianrong Wang, Xiang Ying, and Zhihui Yu. "Localization of Thyroid Nodules in Ultrasonic Images." the 13th International Conference on Wireless Algorithms, Systems, and Applications (WASA), 2018.

其它知识产权

累计申请专利10余项，其中作为第一发明人获授权4项。主持国家级、省部级科研项目多项，研究成果广泛应用于教育、医疗等领域。