基本情况
主要从事数据挖掘、人工智能、计算机网络等方面的研究，发表多篇相关学术论文。参与国家自然科学基金项目和天津市科技重大专项等纵向课题。获得多项授权专利及软件著作权。团队主要研究内容为：
- 自然语言处理与知识图谱构建研究
- 自适应学习资源推荐系统的研究和应用
- 风电功率预测研究
- 社交网络中的用户建模、情感分析、推荐算法、以及网络资源搜索和算法优化的研究
- 医疗超声影像辅助诊断研究
- 遥感卫星图像语义分割、目标检测及超分辨率
担任天津大学计算机学院学生竞赛指导中心竞赛指导教师
担任IT学科创新创业训练基地指导教师
研究方向
- 数据挖掘
- 知识图谱
- 智慧教育
- 图像处理
讲授课程
- 程序设计原理
- 数据结构
- 数据挖掘
- 数据库应用技术
科研成果
论文
- Ruiguo Yu, Jie Gao, Mei Yu*, Tianyi Xu, Mankun Zhao, Jie Zhang, Ruixuan Zhang, Zhuo Zhang. LSTM-EFG for wind power forecasting based on sequential correlation features[J]. Future Generation Computer Systems, 2019, 93: 33-42.
- Mei Yu, Ming Han, Xuewei Li*, Xi Wei, Han Jiang, Huiling Chen, Ruiguo Yu. Adaptive soft erasure with edge self-attention for weakly supervised semantic segmentation: Thyroid Ultrasound Image case study[J].Computers in Biology and Medicine, 2022, 144: 1-11.
- RuiguoYu, Zhiqiang Liu, Xuewe iLi, 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[J]. Applied Energy, 2019, 238: 249-257.
- 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]. Future Generation Computer Systems, 2020, 113, 145-157.
- Xiang Ying, Qiang Wang, Xuewei Li, Mei Yu, Han Jiang, Jie Gao, ZhiQiang Liu, Ruiguo Yu*. Multi-Attention Object Detection Model in Remote Sensing Images Based on Multi-Scale[J]. IEEE Access, 2019, 7: 94508-94519.
- Guofang Nan*, Zhifei Mao, Mei Yu, Minqiang Li, Honggang Wang, Yan Zhang, Stackelberg game for bandwidth allocation in cloud-based wireless live-streaming social networks, IEEE Systems Journal, 2014, 8(1): 256-267.
- Ruixuan Zhang, Wenhuan Lu, Jie Gao, Yuan Tian, Xi Wei, Chenhan Wang, Xuewei Li*, Mei Yu. RFI-GAN: A Reference-guided Fuzzy Integral Network for Ultrasound Image Augmentation[J]. Information Sciences, 623(2023): 709-728.
- 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 learning[J]. Information Sciences, 629(2023): 169-183.
- Mei Yu, Qianyu Zhang, Jian Yu, Mankun xZhao, Xuewei Li*,Di Jin, Ming Yang, Ruiguo Yu. Knowledge graph completion using topological correlation and multi-perspective independence[J]. Knowledge-Based Systems,2023, 259: 1-14.
- 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[J]. IEEE Journal of Biomedical and Health Informatics, 2021, 26(1): 7-16.
- Jianrong Wang, Yumeng Zhu, Yu Chen*, Abdilbar Mamat, Mei Yu, Ju Zhang, Jianwu Dang. An Eye-Tracking Study on Audiovisual Speech Perception Strategies Adopted by Normal-Hearing and Deaf Adults Under Different Language Familiarities[J]. Journal of Speech Language and Hearing Research, 2020, 63(7):1-10.
- Xiang Ying, Caibao Huang, Xuzhou Fu, Ying He*, Ruiguo Yu*, Jianrong Wang, Mei Yu . Parallelizing discrete geodesic algorithms with perfect efficiency[J]. Computer-Aided Design, 2019, 115: 161-171.
- Jianrong Wang, Ge Zhang, Mei Yu, Tianyi Xu, Tao Luo. Attention-based Dense Decoding Network for Monocular Depth Estimation[J]. IEEE Access, 2020, 8: 85802-85812.
- Xiang Ying, Zechen Meng, Mankun Zhao, Mei Yu, Shirui Pan, Xuewei Li*. Gated graph convolutional network with enhanced representation and joint attention for distant supervised heterogeneous relation extraction[J]. World Wide Web, 2021: 1-20.
- Xiang Ying, Keke Zhao, Zhiqiang Liu, Jie Gao, Dongxiao He, Xuewei Li, Mei Yu, Wei Xiong*. Wind Speed Prediction via Collaborative Filtering on Virtual Edge Expanding Graphs[J]. Mathematics, 2022, 10(11): 1-16.
- Xuewei Li, Chao Liu, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Mei Yu*, Ruiguo Yu. Prototypical attention network for few-shot relation classification with entity-aware embedding module[J]. Applied Intelligence, 2022, 1-17.
- Ruiguo Yu, Yingzhou Sun, Xuewei Li*, Jian Yu, Jie Gao, Zhiqiang Liu, Mei Yu. Time series cross-correlation network for wind power prediction[J]. Applied Intelligence, 2022, 53(10): 11403-11419.
- 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 Learning[J]. Neurocomputing, 2022, 508: 324-336.
- Mei Yu, Kaijie Pei, Xuewei Li, Xi Wei, Chenhan Wang, Jie Gao*. FBCU-Net: A fine-grained context modeling network using boundary semantic features for medical image segmentation[J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 150, 1-10.
- Mei Yu, Jiujiang Guo, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Xuewei Li*, Ruiguo Yu. BDRI: block decomposition based on relational interaction for knowledge graph completion[J]. Data Mining and Knowledge Discovery, 2023, 27(2): 767-787.
- Mei Yu, Jiujiang Guo, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Xuewei Li*, Ruiguo Yu. TBDRI：block decomposition based on relational interaction for temporal knowledge graph completion[J]. Applied Intelligence, 2023: 5071-5084.
- Mei Yu, Yunke Chen, Mankun Zhao, Tianyi Xu, Jian Yu, Ruiguo Yu, Hongwei Liu, Xuewei Li∗. Semantic Piecewise Convolutional Neural Network with Adaptive Negative Training for Distantly Supervised Relation Extraction[J]. Neurocomputing., 2023, 537: 12-21.
- Mei Yu, 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[J]. Applied Intelligence, 2023, 53(20): 23113-23123.
- Mei Yu, Kun Zhu, Mankun Zhao, Jian Yu, Tianyi Xu, Di Jin, Xuewei Li*, Ruiguo Yu. Learning Neighbor User Intention on User-Item Interaction Graphs for Better Sequential Recommendation[J]. ACM Transactions on the Web, 2024, 18(2): 1-28.
- Mei Yu, Boan Tao, Xuewei Li, Zhiqiang Liu, Wei Xiong*. Local and Long-range Convolutional LSTM Network: A novel multi-step wind speed prediction approach for modeling local and long-range spatial correlations based on ConvLSTM[J]. Engineering Applications of Artificial Intelligence, 2024, 130: 1-16.
- Xuewei Li，Aitong Sun，Mankun Zhao，Jian Yu，Kun Zhu，Di Jin，Mei Yu*，Ruiguo Yu. Multi-Intentions Oriented Contrastive Learning for Sequential Recommendation[C]. WSDM 2022, 411-419.
- Zijian Zhang, Ruiguo Yu, Xi Wei, Jie Gao, Mei Yu, Xuewei Li, Zhiqiang Liu*. Unsupervised Domain Adaptation Semantic Segmentation on Thyroid Ultrasound Images Based on Task-Oriented Feature Disentanglement[C]. ICME 2024, 1-6.
- Xuewei Li, Hongqian Shen, Mei Yu, Xi Wei, Jiang Han, Jialin Zhu, Jie Gao, Zhiqiang Liu, Yulin Zahng, Ruiguo Yu*. Blind Image Inpainting Using Pyramid GAN on Thyroid Ultrasound Images[C]. 2019 BIBM, 2019: 678-683.
- Jianrong Wang, Ruixuan Zhang, Xi Wei, Xuewei Li, Mei Yu, Jialin Zhu, Jie Gao, Zhiqiang Liu, Ruiguo Yu*. An Attention-based Semi-supervised Neural Network for Thyroid Nodules Segmentation[C]. 2019 BIBM, 2019: 871-876.
- Tao Luo, Yifan Wei, Mei Yu, Xuewei Li, Mankun Zhao, Tianyi Xu, Jian Yu, Jie Gao and Ruiguo Yu*. BTDE: Block Term Decomposition Embedding for Link Prediction in Knowledge Graph[C]. ECAI 2020, 2020, 817-824.
- Mei Yu, Minyutong Cheng, Xubin Li, Zhiqiang Liu, Jie Gao, Xuzhou Fu, Xuewei Li*, and Ruiguo Yu. Tumor Classification Based on Approximate Symmetry Using Dual-Branch Complementary Fusion Network[C]. BIBM, 2020, 1215-1218.
- 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.
- 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.
- Mei Yu, Junbin Wei, Chenhan Wang, Han Jiang, Jian Yu, Ruixuan Zhang, Xuewei Li *, Ruiguo Yu. EDGE ENHANCEMENT NETWORK FOR WEAKLY SUPERVISED SEMANTIC SEGMENTATION. ICME 2021, 1-6.
- Mei Yu， Ming Han， Xuewei Li*， Xi Wei， Jialin Zhu , Han Jiang ，Zhiqiang Liu， Ruixaun Zhang， Ruiguo Yu. SSE: Scale-adaptive Soft Erase Weakly Supervised Segmentation Network for Thyroid Ultrasound Images. BIBM, 2021, 1615-1618.
- Tao Luo, Tong Xu, Jian Yu, Xuewei Li*, Xi Wei, Mei Yu, Ruixuan Zhang, Jie Gao, and Ruiguo Yu. Border Sensitive Network in Weakly Supervised Thyroid Nodule Detection for Ultrasound Image. BIBM, 2021, 1429-1432.
- Ruiguo Yu, Xianzhi Zhang, Mankun Zhao, Yang Yan, Ming Li, Mei Yu∗. CAANet: CAM-guided Adaptive Attention Network for Weakly Supervised Semantic Segmentation of Thyroid Nodules[C]. BIBM 2022, 1-5.
- Jianrong Wang，Jinyu Liu， Xuewei Li，Mei Yu, Jie Gao, Qiang Fangu, Li Liu*. Two-Stream Joint-Training for Speaker Independent Acoustic-to-Articulatory Inversion[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5.
- Ruiguo Yu, Yihang Zhao, Mei Yu, Jie Gao, Chenhan Wang, Ruixuan Zhang, Xuewei Li*. Region-Specific Prototype Customization for Weakly Supervised Semantic Segmentation[C]. ECAI 2023, 2938-2945.
- Mei Yu, Hao Zheng, Xuewei Li, Jie Gao, Xuzhou Fu, Zhiqiang Liu∗, Ruiguo Yu. Implicit Feature Augmentation with Feature Transfer For Class-Imbalanced Medical Image Classification[C]. BIBM 2023.
- Xuewei Li, Hongwei Chen, Jian Yu, Mankun Zhao, Tianyi Xu, Wenbin Zhang, Mei Yu*. Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation[C]. WADM 2024, 2024, 387-395.
- Ruiguo Yu, Yue Chen, Mankun Zhao, Jian Yu, Tianyi Xu, Mei Yu, Xuewei Li*. DEBIASING RECOMMENDERS THROUGH PERSONALIZED POPULARITY-AWARE MARGINS[C]. ICASSP, 2024, 6255-6259.
- Mei Yu, Hexin Wang, Xuzhou Fu, Jie Gao, Zhiqiang Liu, Xuewei Li∗. DUALGCN-MIL: WHOLE SLIDE IMAGE CLASSIFICATION BASED ON DOUBLE RELATIONSHIP GRAPH LEARNING [C]. ICASSP, 2024, 1986-1990.
- Mei Yu, Yujian Zhang, Xuewei Li, Ruixuan Zhang, Han Jiang, Jie Gao, Zhiqiang Liu∗. MULTI-LEVEL AUGMENTATION CONSISTENCY LEARNING AND SAMPLE SELECTION FOR SEMI-SUPERVISED DOMAIN GENERALIZATION[C]. ICASSP, 2024, 6550-6554.
- Xuewei Li, Yilong Fan, Hao Zheng, Jie Gao, Xi Wei, Mei Yu∗. BALANCED AND DISCRIMINATIVE CONTRASTIVE LEARNING FOR CLASS-IMBALANCED MEDICAL IMAGES[C]. ICASSP, 2024, 3735-3739.
- Xuewei Li, Yujie Diao, Mei Yu, Chenhan Wang, Jie Gao* ,Ruiguo Yu. Area Intervention for Enhancing Class Activation Maps in Weakly Supervised Semantic Segmentation[C]. ICME 2024, 1-6.
项目
- 国家自然科学基金项目：风电场数据的流形结构建模与分析
- 国家自然科学基金项目：电影故事交互式智能生成理论与方法
- 国家重点研发计划：精准专家推荐与可视化技术
- 国家自然科学基金项目：拓扑知识网络构建与个性化学习路径规划关键技术研究
- 天津市科技重大专项工程：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
- 天津市重点研发计划-科技支撑重点项目：基于计算机视觉的钣金件自动检测系统研发
学科竞赛-ACM-ICPC
ACM国际大学生程序设计竞赛（ACM International Collegiate Programming Contest，ACM-ICPC）由美国计算机协会（ACM）主办，是一项旨在展示大学生创新能力、团队精神和在压力下编写程序、分析和解决问题能力的年度竞赛，是世界上公认的规模最大、水平最高的国际大学生程序设计竞赛。赛事由各大洲区域预赛和全球总决赛两个阶段组成，每年在不同国家举办全球总决赛，平均每年约120支左右队伍角逐全球总决赛的奖项。
天津大学历届参加比赛的学生中，20余名本科生进入Google、Facebook、百度、腾讯、阿里巴巴等国际知名IT企业，一部分学生出国留学。
自2002年起，天津大学ACM代表队获得的世界总决赛排名及主要荣誉包括：
- 2008年，参加在加拿大班芙举办的世界总决赛，排名全球47位
- 2009年，参加在瑞典斯德哥尔摩举办的世界总决赛，排名全球34位
- 2011年，参加在美国奥兰多举办的世界总决赛，排名全球27位
- 2012年，参加在波兰华沙举办的世界总决赛，排名全球36位
- 2013年，参加在俄罗斯圣彼得堡举办的世界总决赛，排名全球60位
- 2016年，参加在泰国普吉岛举行的世界总决赛，排名全球28位
- 2023年，参加在泰国普吉岛举行的世界总决赛，排名全球61位
自2002年起，天津大学ACM代表队获得的亚洲区域赛及全国邀请赛主要荣誉包括：
| 比赛级别 | 所获奖项 | 数量 |
|---|---|---|
| 亚洲区域赛 | 金奖 | 19 |
| 银奖 | 56 | |
| 铜奖 | 78 | |
| 全国邀请赛 | 金奖 | 5 |
| 银奖 | 13 | |
| 铜奖 | 17 |
学科竞赛-CCPC
中国大学生程序设计竞赛（China Collegiate Programming Contest，CCPC）由中国大学生程序设计竞赛协会主办，是一项向世界大学生开放的展示大学生程序设计能力、创新能力以及团队合作精神的国际性年度赛事。首届比赛于2015年10月在南阳理工学院举办，共有246支队伍参加比赛。
自2015年起，天津大学CCPC代表队获得的中国大学生程序设计竞赛及全国邀请赛主要荣誉包括：
| 比赛级别 | 所获奖项 | 数量 |
|---|---|---|
| 中国大学生程序设计竞赛 | 金奖 | 3 |
| 银奖 | 24 | |
| 铜奖 | 12 | |
| 全国邀请赛 | 金奖 | 9 |
| 银奖 | 16 | |
| 铜奖 | 12 |
IT 学科创新创业训练基地
IT学科创新创业训练基地坐落于天津大学北洋园校区47楼5层，占地面积超过600平方米，包括“学科竞赛实验室”、“创客空间”、“创新创业实验室”和“创新竞赛实验室”，能够同时容纳120名以上的学生进行科学研究、训练以及创新创业等活动。
基地将学科竞赛、创新竞赛和企业项目结合在一起，为学生提供创新实践环境，构建统一创新平台，搭建特色创客空间，运用CDIO工程培养理念培养学生交叉研究能力。
IT学科创新创业训练基地于2015年进行规划建设，并得到教务处、科研院、学工部、计算机学院及软件学院等部门支持，于2015年10月2日举行揭牌仪式。