个人信息

胡琳梅，预聘副教授/特别研究员，博士生导师、硕士生导师。2018年博士毕业于清华大学知识工程实验室KEG（实验室创立了国内第一大模型公司——智谱），荣获北京市优秀博士毕业生。2019年获得微软亚研院铸星计划支持（全亚洲12人），2023获AI华人女性青年学者（全球80人），2026年获得北京市科技新星。主持国家自然科学基金面上项目。发表CCF A类等高水平论文80余篇，Google学术引用次数近5000。担任中文信息学会青工委执行委员（17人），CCF大模型论坛执行委员。

担任《Data Intelligence》期刊编委（中科院二区），担任《AI Open》期刊青年编委（IF：14.8），担任CCF A类会议ACL领域主席、IJCAI SPC，TKDE、TOIS、AAAI 等PC、审稿人。

News：每年计划招收博士生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。

已毕业硕士生4人，均发表CCF A 2篇以上，均获得校级优秀毕业生、国家奖学金等荣誉，3人曾在智谱实习，4位毕业生全部获得企业人才计划，包括美团北斗，美团、阿里、蚂蚁ssp offer。

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

科研方向

大语言模型推理、多模态大模型、知识增强大模型、虚假信息检测、AI交叉（生信、社会、教育）

实验室在发表或投稿CCF A的情况下允许暑期实习（可推荐智谱实习），目前所有毕业生均参与暑期实习！欢迎希望在大模型方向深耕并产出高水平成果的同学们加入我们！请联系hulinmei@bit.edu.cn

代表性学术成果

(1) Jie Li, Zhen Cui, Linmei Hu*: ONeRec: Towards Openness-Aware and Adaptive Proactive News Recommendation. WWW 2026. (CCF A)

(2) Jie Li, Jinrui Wang, Linmei Hu*, Yuqiu Deng: Triple-R: Iterative Query Rewriting and Refinement for Retrieval-Augmented Fake News Detection. WWW 2026. (CCF A)

(3) Huipeng Ma, Luan Zhang, Dandan Song*, Linmei Hu*, Yuhang Tian, Jun Yang, Changzhi Zhou, Chenhao Li, Yizhou Jin, Xudong Li, Meng Lin, Mingxing Zhang, Shuhao Zhang. ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models. AAAI 2026.  (CCF A)

(4) Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, Juanzi Li ; A Survey of Knowledge Enhanced Pre-Trained Language Models, IEEE Transactions on Knowledge and Data Engineering,2024. (CCF A, ESI高被引)

(5) Chuan Shi, Yuanfu Lu, Linmei Hu*, Zhiyuan Liu, Huadong Ma. RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding. TKDE 2020. (CCF A，ESI高被引)

(6) Linmei Hu, Xinyu Zhang, Dandan Song, Changzhi Zhou, Hongyu He, Liqiang Nie. Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation. ACM Transactions on Information Systems, 2025, 43(3): 1-29. (CCF A)

(7) 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)

(8) 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)

(9) 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)

(10) 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. (CCF A)

(11) 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)

(12) 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)

(13) 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)

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

(15) Xinyu Zhang, Linmei Hu*, Luhao Zhang , Wentao Cheng , Yashen Wang, Ge Shi*, Chong Feng, Liqiang Nie. Bi-Tuning with collaborative Information for Controllable LLM-based Seguential Recommendation. ACL 2025. （CCF A）

(16) Luhao Zhang, Xinyu Zhang, Linmei Hu*, Dandan Song, Liqiang Nie. Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model. ACL 2025. （CCF A)

(17) 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)

(18) Ziwang Zhao; Linmei Hu*; Hanyu Zhao; Yingxia Shao; Yequan Wang ; Knowledgeable ParameterEfficient Tuning Network for Commonsense Question Answering, ACL 2023: 9051-9063. (CCF A)

(19) 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)

(20) Yangfu Zhu, Linmei Hu*，Xinkai Ge, Wanrong Peng, Bin Wu: Contrastive Graph Transformer Network for Personality Detection. IJCAI 2022:4559-4565. (CCF A)

(21) Jie Li, Zeyi Liu, Linmei Hu*, Yunbo Rao, Bo Liu, Bo Fang, Liqiang Nie. Personalized News Recommendation towards the Era of LLMs: Review and Prospect. TKDE 2025. (CCF A）

(22) 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. (CCF A)

(23) Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li. Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. EMNLP 2019: 4823-4832. (CAAI A)

(24) 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.（CAAI A）

(25) Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao. Graph Neural News Recommendation with Long-term and Short-term Interest Modeling [J]. Information Processing & Management 2020, 57 (2), 102142. （SCI，中科院一区）

 

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，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 北京市优秀博士毕业生

2023年 AI华人女性青年学者

2026年 北京市科技新星

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

本人秉承着以学生成长、学生能力培养为第一要务，性格直爽。实验室在发表或投稿CCF A的情况下允许暑期实习（可推荐智谱实习），目前所有毕业生均参与暑期实习！欢迎希望在大模型方向深耕并产出高水平成果的同学们加入我们！请联系hulinmei@bit.edu.cn