| 2026 | AAAI | ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models. | 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 |
| 2026 | WWW | ONeRec: Towards Openness-Aware and Adaptive Proactive News Recommendation. | Jie Li, Zhen Cui, Linmei Hu |
| 2026 | WWW | Triple-R: Iterative Query Rewriting and Refinement for Retrieval-Augmented Fake News Detection. | Jie Li, Jinrui Wang, Linmei Hu, Yuqiu Deng |
| 2025 | ACL | SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation. | Zijun Yao, Weijian Qi, Liangming Pan, Shulin Cao, Linmei Hu, Weichuan Liu, Lei Hou, Juanzi Li |
| 2025 | ACL | Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation. | Xinyu Zhang, Linmei Hu, Luhao Zhang, Wentao Cheng, Yashen Wang, Ge Shi, Chong Feng, Liqiang Nie |
| 2025 | ACL | Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model. | Luhao Zhang, Xinyu Zhang, Linmei Hu, Dandan Song, Liqiang Nie |
| 2025 | EMNLP | SCoder: Progressive Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs. | Xinyu Zhang, Changzhi Zhou, Linmei Hu, Luhao Zhang, Xiancai Chen, Haomin Fu, Yang Yang, Mengdi Zhang |
| 2025 | WWW | LoCal: Logical and Causal Fact-Checking with LLM-Based Multi-Agents. | Jiatong Ma, Linmei Hu, Rang Li, Wenbo Fu |
| 2024 | AAAI | LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. | Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie |
| 2024 | ACL | How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering. | Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie, Linmei Hu, Lei Hou, Juanzi Li |
| 2024 | EMNLP | KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases. | Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li |
| 2024 | WWW | Span-Pair Interaction and Tagging for Dialogue-Level Aspect-Based Sentiment Quadruple Analysis. | Changzhi Zhou, Zhijing Wu, Dandan Song, Linmei Hu, Yuhang Tian, Jing Xu |
| 2024 | SIGIR | Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering. | Duokang Wang, Linmei Hu, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li |
| 2023 | ACL | Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. | Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, Liqiang Nie |
| 2023 | ACL | Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering. | Ziwang Zhao, Linmei Hu, Hanyu Zhao, Yingxia Shao, Yequan Wang |
| 2023 | EMNLP | Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward. | Zhicong Lu, Li Jin, Guangluan Xu, Linmei Hu, Nayu Liu, Xiaoyu Li, Xian Sun, Zequn Zhang, Kaiwen Wei |
| 2023 | IJCNN | Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification. | Weiwei Zhang, Linmei Hu, Yuting Wei, Bin Wu |
| 2022 | IJCAI | Contrastive Graph Transformer Network for Personality Detection. | Yangfu Zhu, Linmei Hu, Xinkai Ge, Wanrong Peng, Bin Wu |
| 2021 | ACL | Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. | Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou |
| 2021 | PAKDD | Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. | Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou |
| 2021 | SDM | Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. | Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu |
| 2020 | ACL | Graph Neural News Recommendation with Unsupervised Preference Disentanglement. | Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou |
| 2020 | ICDM | Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. | Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang |
| 2019 | AAAI | Relation Structure-Aware Heterogeneous Information Network Embedding. | Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu |
| 2019 | APWEB | Enhancing Joint Entity and Relation Extraction with Language Modeling and Hierarchical Attention. | Renjun Chi, Bin Wu, Linmei Hu, Yunlei Zhang |
| 2019 | APWEB | Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks. | Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi |
| 2019 | EMNLP | Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. | Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li |
| 2019 | EMNLP | Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. | Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang |
| 2019 | KDD | Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. | Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li |
| 2019 | KSEM | DRAM: A Deep Reinforced Intra-attentive Model for Event Prediction. | Shuqi Yu, Linmei Hu, Bin Wu |
| 2017 | AAAI | What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. | Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao |
| 2015 | ACL | Learning Topic Hierarchies for Wikipedia Categories. | Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu |
| 2015 | EMNLP | TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering. | Linmei Hu, Juanzi Li, Xiaoli Li, Chao Shao, Xuzhong Wang |
| 2015 | PAKDD | o-HETM: An Online Hierarchical Entity Topic Model for News Streams. | Linmei Hu, Juan-Zi Li, Jing Zhang, Chao Shao |