个人信息

胡琳梅，博士，预聘副教授/特别研究员👩‍👩‍👧，博士生导师、硕士生导师👝👯‍♂️。2018年于清华大学获得博士学位，荣获北京市优秀毕业生。2019年获得微软亚研院铸星计划支持。主持参与多项国家级项目🦸🏿，包括国家自然科学基金重点项目。发表CCF A类等高水平论文30余篇，google学术引用次数超3200+。担任中文信息学会青工委执行委员🏣🤾🏻‍♀️，CCF大模型论坛执行委员。

担任《Data Intelligence》期刊编委，担任《AI Open》期刊青年编委，担任顶级国际会议ACL领域主席、IJCAI SPC，AAAI，EMNLP 等PC，担任顶级期刊TKDE, TMM等审稿人。

News：每年计划招收博士生1-2名，硕士生2名，欢迎勤奋、踏实、自驱力强的计算机、人工智能等相关专业的学生报考🧙‍♀️。

主页：https://www.aminer.cn/profile/53f3a233dabfae4b34ac12ac

科研方向

大语言模型◾️、自然语言处理✵、多模态

代表性学术成果

1.Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, Juanzi Li. A survey on knowledge enhanced pre-trained language models. TKDE 2023. (ESI高被引，CCF A)

2. Jiatong Ma (指导本科生), Linmei Hu*, Rang Li, Wenbo Fu. LoCal: Logical and Causal Fact-Checking with LLM-based Multi-Agents. WWW 2025. (CCF A)

3. Linmei Hu, Duokang Wang, Yiming Pan, Jifan Yu, Yingxia Shao, Chong Feng, Liqiang Nie. NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models. ACM MM, 2024. (CCF A)

4. Linmei Hu; Ziwei Chen; Ziwang Zhao; Jianhua Yin; Liqiang Nie ; Causal Inference forLeveraging Image-text Matching Bias in Multi-modal Fake News Detection, IEEE Transactions on Knowledge and Data Engineering, 2022, 1-12 . (CCF A)

5. Linmei Hu, Hongyu He, Duokang Wang, , Ziwang Zhao, Yingxia Shao, Liqiang Nie. LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. AAAI 2024, 38(16): 18234-18242. (CCF A)

6. Duokang Wang, Linmei Hu*, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li. Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering. SIGIR 2024. (CCF A)

7.Ziwang Zhao, Linmei Hu*, Hanyu Zhao, Yingxia Shao, Yequan Wang. Knowledgeable Parameter Efficient Tuning for Commonsense Reasoning. ACL 2023: 9051-9063. (CCF A)

8.Ziwei Chen, Linmei Hu*, Weixin Li, Yingxia Shao, Liqiang Nie. Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. ACL 2023: 627-638. (CCF A)

9.Linmei Hu, Ziwei Chen, Ziwang Zhao, Jianhua Yin, Liqiang Nie. Causal Inference for Leveraging Image-text Matching Bias in Multi-modal Fake News Detection[J]. TKDE 2023. (CCF A)

10. 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)

11. 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)

12. 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)

13. 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,CCF A)

14. 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)

15. 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)

16. 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）

17. 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）

18. 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)

19. 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)

承担科研情况

1. 国家自然科学基金面上项目，融合知识的可解释多模态虚假信息检测方法研究🦹🏼， 2023/01-2026/12，在研，负责人🚴‍♀️👨🏿‍🚒。

2. 国家青年自然科学基金项目，基于深度强化学习的新闻事件预测方法研究 📚，2019/01-2021/12，结题👵🏽，负责人🌾😾。

3. 北京智源人工智能研究院悟道基金项目，融合知识的增量预训练语言模型及其可解释性🐗𓀒，2022/01-2022/12，在研，负责人

4. 国家自然科学基金通用技术基础研究联合基金重点项目，基于网络行为的人物心理刻画方法，2020/01-2022/12，在研🚣🏻‍♀️，参与

所获奖励

2018年 北京市优秀毕业生

2023年 AI华人女性青年学者

社会兼职

ACL 领域主席

《Data Intelligence》期刊编委

《AI Open》期刊青年编委

备注

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