Name: Hu Linmei
Discipline: Computer Science and Technology
Title: Associate Professor, Special Researcher
Contact number:
E-mail: hulinmei@bit.edu.cn
Address: 801 Teaching Building, Beijing Institute of Technology, Haidian District, Beijing Personal Information
Hu Linmei, Ph.D., pre-appointed Associate Professor, Special Researcher, doctoral supervisor, master supervisor. In 2018, he received his doctor's degree from Tsinghua University and was awarded the outstanding graduate of Beijing. In 2019, it was supported by the Microsoft Asia Research Institute Casting Star Program. He presided over and participated in a number of national projects, including key projects of the National Natural Science Foundation. He has published more than 30 high-level papers, including an ESI highly cited paper and A top international conference CCF A/B. More than 10 patents have been applied (2 have been authorized). Supervised more than 10 doctoral/master students. As the first author, he published the translation "Heterogeneous Information Network Analysis and Application" (Machine Industry Publishing), and as the third author, he published the textbook "Introduction to Data Science", published by Tsinghua University.
Member of CCF, Member of Artificial Intelligence Society, member of Natural Language Understanding Committee of Artificial Intelligence Society, member of Chinese Language Information Processing Society of China, member of Youth Working Committee of Chinese Language Information Processing Society of China, member of Language and Knowledge Computing Committee of Chinese Information Society of China.
Served as the top international conference CCF Class A IJCAI SPC(Senior Reviewer), AAAI, ACL, KDD PC, served as the CCF Class B conference EMNLP, WSDM, CIKM, COLING, ISWC PC(reviewer). As a reviewer for top journals AI, TKDE, TNNLS, Neurocomputing, KBS, etc.
News: We plan to recruit 1-2 doctoral students and 3-4 master students every year. We welcome hard-working, practical and self-driven students majoring in computer science, artificial intelligence and other related majors to apply.
Home page: https://www.aminer.cn/profile/53f3a233dabfae4b34ac12ac < br >

Research Direction
Knowledge Graph, Natural Language Processing, Multimodal

Personal Information
Hu Linmei, Ph.D., pre-appointed Associate Professor, Special Researcher, doctoral supervisor, master supervisor. In 2018, he received his doctor's degree from Tsinghua University and was awarded the outstanding graduate of Beijing. In 2019, it was supported by the Microsoft Asia Research Institute Casting Star Program. He presided over and participated in a number of national projects, including key projects of the National Natural Science Foundation. He has published more than 30 high-level papers, including an ESI highly cited paper and A top international conference CCF A/B. More than 10 patents have been applied (2 have been authorized). Supervised more than 10 doctoral/master students. As the first author, he published the translation "Heterogeneous Information Network Analysis and Application" (Machine Industry Publishing), and as the third author, he published the textbook "Introduction to Data Science", published by Tsinghua University.
Member of CCF, Member of Artificial Intelligence Society, member of Natural Language Understanding Committee of Artificial Intelligence Society, member of Chinese Language Information Processing Society of China, member of Youth Working Committee of Chinese Language Information Processing Society of China, member of Language and Knowledge Computing Committee of Chinese Information Society of China.
Served as the top international conference CCF Class A IJCAI SPC(Senior Reviewer), AAAI, ACL, KDD PC, served as the CCF Class B conference EMNLP, WSDM, CIKM, COLING, ISWC PC(reviewer). As a reviewer for top journals AI, TKDE, TNNLS, Neurocomputing, KBS, etc.
News: We plan to recruit 1-2 doctoral students and 3-4 master students every year. We welcome hard-working, practical and self-driven students majoring in computer science, artificial intelligence and other related majors to apply.
Home page: https://www.aminer.cn/profile/53f3a233dabfae4b34ac12ac < br >

Personal Information
Hu Linmei, Ph.D., pre-appointed Associate Professor, Special Researcher, doctoral supervisor, master supervisor. In 2018, he received his doctor's degree from Tsinghua University and was awarded the outstanding graduate of Beijing. In 2019, it was supported by the Microsoft Asia Research Institute Casting Star Program. He presided over and participated in a number of national projects, including key projects of the National Natural Science Foundation. He has published more than 30 high-level papers, including an ESI highly cited paper and A top international conference CCF A/B. More than 10 patents have been applied (2 have been authorized). Supervised more than 10 doctoral/master students. As the first author, he published the translation "Heterogeneous Information Network Analysis and Application" (Machine Industry Publishing), and as the third author, he published the textbook "Introduction to Data Science", published by Tsinghua University.
Member of CCF, Member of Artificial Intelligence Society, member of Natural Language Understanding Committee of Artificial Intelligence Society, member of Chinese Language Information Processing Society of China, member of Youth Working Committee of Chinese Language Information Processing Society of China, member of Language and Knowledge Computing Committee of Chinese Information Society of China.
Served as the top international conference CCF Class A IJCAI SPC(Senior Reviewer), AAAI, ACL, KDD PC, served as the CCF Class B conference EMNLP, WSDM, CIKM, COLING, ISWC PC(reviewer). As a reviewer for top journals AI, TKDE, TNNLS, Neurocomputing, KBS, etc.
News: We plan to recruit 1-2 doctoral students and 3-4 master students every year. We welcome hard-working, practical and self-driven students majoring in computer science, artificial intelligence and other related majors to apply.
Home page: https://www.aminer.cn/profile/53f3a233dabfae4b34ac12ac < br >

代表性学术成果
1. Yangfu Zhu#, Linmei Hu#*（共一），Xinkai Ge, Wanrong Peng, Bin Wu: Contrastive Graph Transformer Network for Personality Detection. IJCAI 2022:4559-4565 (CCF A)
2. Linmei Hu, Ziwei Chen, Ziwang Zhao, Jianhua Yin, Liqiang Nie, Causal Inference for Leveraging Image-text Matching Bias in Multi-modal Fake News Detection. TKDE. （CCF A在投，小修）
3. Linmei Hu，Tianchi Yang，Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou. Compare To The Knowledge: Graph Neural Fake News Detection with External Knowledge. ACL 2021：754-763. (CCF A)
4. Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li, Liqiang Nie. HGAT：Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. TOIS 2021, Volume 39, Issue 3, 32:1-32:29 . (CCF A)
5. Chuan Shi, Yuanfu Lu, Linmei Hu*, Zhiyuan Liu, Huadong Ma. RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding. TKDE 2022. Volume 34 (1):433-447. (ESI高被引, SCI, CCF A)
6. Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou. Graph Neural News Recommendation with Unsupervised Preference Disentanglement. ACL 2020: 4255-4264. (CCF A)
7. Linmei Hu, Juanzi Li, Liqiang Nie, Xiao-Li Li, Chao Shao. What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM, AAAI 2017: 3450-3456 （CCF A）
8. Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu. Learning Topic Hierarchies for Wikipedia Categories. ACL (2) 2015: 346-351. （CCF A）
9. Lu Yuanfu, Chuan Shi, Linmei Hu, Zhiyuan Liu. Relation Structure-Aware Heterogeneous Information Network Embedding. AAAI, 2019, 33: 4456-4463. （CCF A）
10. Na Zheng, Xuemeng Song, Zhaozheng Chen, Linmei Hu, Da Cao, Liqiang Nie. Virtually Trying on New Clothing with Arbitrary Poses. In ACM MM 2019: 266-274. (CCF A)
11. Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li. Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. KDD 2019: 2478-2486. （CCF A）
12. Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li. Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. EMNLP 2019: 4823-4832. （CCF B）
13. Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weiling Guan, Cheng Yang. Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. EMNLP 2019: 3812-3820. (CCF B)
14. Linmei Hu, Juanzi Li, Xiaoli Li, Chao Shao, Xuzhong Wang. TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering. EMNLP 2015: 787-792. (CCF B)
所获奖励
2018年 北京市优秀毕业生