Incorporating Entities in News Topic Modeling. - Linmei Hu; Juan-Zi Li; Zhihui Li; Chao Shao; Zhixing Li (NLPCC, 2013)

RiMOM2013 results for OAEI 2013. - Qian Zheng; Chao Shao; Juanzi Li; Zhichun Wang; Linmei Hu (OM, 2013)

RiMOM-IM results for OAEI 2014. - Chao Shao; Linmei Hu; Juanzi Li (OM, 2014)

Learning Topic Hierarchies for Wikipedia Categories. - Linmei Hu; Xuzhong Wang; Mengdi Zhang 002; Juan-Zi Li; Xiaoli Li 001; Chao Shao; Jie Tang 001; Yongbin Liu (ACL (2), 2015)

TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering. - Linmei Hu; Juanzi Li; Xiaoli Li 001; Chao Shao; Xuzhong Wang (EMNLP, 2015)

o-HETM: An Online Hierarchical Entity Topic Model for News Streams. - Linmei Hu; Juan-Zi Li; Jing Zhang 036; Chao Shao (PAKDD (1), 2015)

Incremental learning from news events. - Linmei Hu; Chao Shao; Juanzi Li; Heng Ji 001 (Knowl. Based Syst., 2015)

RiMOM-IM: A Novel Iterative Framework for Instance Matching. - Chao Shao; Linmei Hu; Juan-Zi Li; Zhichun Wang; Tong Lee Chung; Jun-Bo Xia (J. Comput. Sci. Technol., 2016)

What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. - Linmei Hu; Juanzi Li; Liqiang Nie; Xiaoli Li 001; Chao Shao (AAAI, 2017)

基于异构中文在线百科的层次话题构建 (Building Hierarchical Topic Based on Heterogeneous Chinese Online Encyclopedia). - Xuzhong Wang; Yan Liu; Linmei Hu; Jing Chen (计算机科学, 2017)

Adaptive online event detection in news streams. - Linmei Hu; Bin Zhang; Lei Hou 001; Juanzi Li (Knowl. Based Syst., 2017)

Relation Structure-Aware Heterogeneous Information Network Embedding. - Yuanfu Lu; Chuan Shi 001; Linmei Hu; Zhiyuan Liu 001 (AAAI, 2019)

Enhancing Joint Entity and Relation Extraction with Language Modeling and Hierarchical Attention. - Renjun Chi; Bin Wu 001; Linmei Hu; Yunlei Zhang (APWeb/WAIM (1), 2019)

Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks. - Jianan Zhao 002; Ding Xiao; Linmei Hu; Chuan Shi 001 (APWeb/WAIM (1), 2019)

Meta-Path based Text Feature Enrichment Using Knowledge Graph. - Jiayu Ding; Xiaohuan Cao; Linmei Hu; Chuan Shi 001 (DSC, 2019)

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. - Linmei Hu; Tianchi Yang; Chuan Shi 001; Houye Ji; Xiaoli Li 001 (EMNLP/IJCNLP (1), 2019)

Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. - Linmei Hu; Luhao Zhang; Chuan Shi 001; Liqiang Nie; Weili Guan; Cheng Yang 002 (EMNLP/IJCNLP (1), 2019)

Incorporating Instance Correlations in Distantly Supervised Relation Extraction. - Luhao Zhang; Linmei Hu; Chuan Shi 001 (JIST, 2019)

Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. - Shaohua Fan; Junxiong Zhu; Xiaotian Han; Chuan Shi 001; Linmei Hu; Biyu Ma; Yongliang Li (KDD, 2019)

DRAM: A Deep Reinforced Intra-attentive Model for Event Prediction. - Shuqi Yu; Linmei Hu; Bin Wu 001 (KSEM (1), 2019)

Virtually Trying on New Clothing with Arbitrary Poses. - Na Zheng; Xuemeng Song; Zhaozheng Chen; Linmei Hu; Da Cao; Liqiang Nie (ACM Multimedia, 2019)

Graph Neural News Recommendation with Unsupervised Preference Disentanglement. - Linmei Hu; Siyong Xu; Chen Li; Cheng Yang 002; Chuan Shi 001; Nan Duan; Xing Xie 001; Ming Zhou 001 (ACL, 2020)

Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. - Mengmei Zhang; Linmei Hu; Chuan Shi 001; Xiao Wang 017 (ICDM, 2020)

Integrating Hierarchical Attentions for Future Subevent Prediction. - Linmei Hu (IEEE Access, 2020)

A neural model for joint event detection and prediction. - Linmei Hu; Shuqi Yu; Bin Wu 001; Chao Shao; Xiaoli Li 001 (Neurocomputing, 2020)

Graph neural news recommendation with long-term and short-term interest modeling. - Linmei Hu; Chen Li; Chuan Shi 001; Cheng Yang 002; Chao Shao (Inf. Process. Manag., 2020)

Graph neural entity disambiguation. - Linmei Hu; Jiayu Ding; Chuan Shi 001; Chao Shao; Shaohua Li (Knowl. Based Syst., 2020)

Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. - Linmei Hu; Tianchi Yang; Luhao Zhang; Wanjun Zhong; Duyu Tang; Chuan Shi 001; Nan Duan; Ming Zhou 001 (ACL/IJCNLP (1), 2021)

Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. - Tianchi Yang; Linmei Hu; Luhao Zhang; Chuan Shi 001; Cheng Yang 002; Nan Duan; Ming Zhou 001 (PAKDD (3), 2021)

Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. - Chen Li; Linmei Hu; Chuan Shi 001; Guojie Song; Yuanfu Lu (SDM, 2021)

Entity set expansion in knowledge graph: a heterogeneous information network perspective. - Chuan Shi 001; Jiayu Ding; Xiaohuan Cao; Linmei Hu; Bin Wu 001; Xiaoli Li 001 (Frontiers Comput. Sci., 2021)

Text-Graph Enhanced Knowledge Graph Representation Learning. - Linmei Hu; Mengmei Zhang; Shaohua Li; Jinghan Shi; Chuan Shi 001; Cheng Yang 002; Zhiyuan Liu 001 (Frontiers Artif. Intell., 2021)

HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. - Tianchi Yang; Linmei Hu; Chuan Shi 001; Houye Ji; Xiaoli Li 001; Liqiang Nie (ACM Trans. Inf. Syst., 2021)

Contrastive Graph Transformer Network for Personality Detection. - Yangfu Zhu; Linmei Hu; Xinkai Ge; Wanrong Peng; Bin Wu 001 (IJCAI, 2022)

MMNet: Multi-modal Fusion with Mutual Learning Network for Fake News Detection. - Linmei Hu; Ziwang Zhao; Xinkai Ge; Xuemeng Song; Liqiang Nie (CoRR, 2022)

A lexical psycholinguistic knowledge-guided graph neural network for interpretable personality detection. - Yangfu Zhu; Linmei Hu; Nianwen Ning; Wei Zhang; Bin Wu 001 (Knowl. Based Syst., 2022)

Multi-Relation Extraction via A Global-Local Graph Convolutional Network. - Harry Cheng 002; Lizi Liao; Linmei Hu; Liqiang Nie (IEEE Trans. Big Data, 2022)

RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding. - Chuan Shi 001; Yuanfu Lu; Linmei Hu; Zhiyuan Liu 001; Huadong Ma (IEEE Trans. Knowl. Data Eng., 2022)

Deep learning for fake news detection: A comprehensive survey. - Linmei Hu; Siqi Wei; Ziwang Zhao; Bin Wu 001 (AI Open, 2022)

Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. - Ziwei Chen; Linmei Hu; Weixin Li 001; Yingxia Shao; Liqiang Nie (ACL (1), 2023)

Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering. - Ziwang Zhao; Linmei Hu; Hanyu Zhao; Yingxia Shao; Yequan Wang (ACL (1), 2023)

Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward. - Zhicong Lu; Li Jin 001; Guangluan Xu; Linmei Hu; Nayu Liu; Xiaoyu Li 004; Xian Sun; Zequn Zhang; Kaiwen Wei (EMNLP (Findings), 2023)

Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification. - Weiwei Zhang; Linmei Hu; Yuting Wei; Bin Wu 001 (IJCNN, 2023)

Knowledge Graph Enhanced Language Models for Sentiment Analysis. - Jie Li; Xuan Li; Linmei Hu; Yirui Zhang; Jinrui Wang (ISWC, 2023)

Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences. - Rui Hao; Dianbo Liu; Linmei Hu (CoRR, 2023)

Causal Inference for Leveraging Image-Text Matching Bias in Multi-Modal Fake News Detection. - Linmei Hu; Ziwei Chen; Ziwang Zhao; Jianhua Yin; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2023)

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 (AAAI, 2024)

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering. - Jinxin Liu 002; Shulin Cao; Jiaxin Shi; Tingjian Zhang; Lunyiu Nie; Linmei Hu; Lei Hou 001; Juanzi Li (ACL (Findings), 2024)

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 001; Juanzi Li (EMNLP, 2024)

NovaChart: A Large-scale Dataset towards Chart Understanding and Generation of Multimodal Large Language Models. - Linmei Hu; Duokang Wang; Yiming Pan 003; Jifan Yu; Yingxia Shao; Chong Feng 001; Liqiang Nie (ACM Multimedia, 2024)

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 (SIGIR, 2024)

Span-Pair Interaction and Tagging for Dialogue-Level Aspect-Based Sentiment Quadruple Analysis. - Changzhi Zhou; Zhijing Wu 001; Dandan Song; Linmei Hu; Yuhang Tian; Jing Xu (WWW, 2024)

LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. - Linmei Hu; Hongyu He; Duokang Wang; Ziwang Zhao; Yingxia Shao; Liqiang Nie (CoRR, 2024)

Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information. - Xinyu Zhang; Linmei Hu; Luhao Zhang; Dandan Song; Heyan Huang; Liqiang Nie (CoRR, 2024)

Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection. - Linmei Hu; Ziwang Zhao; Weijian Qi; Xuemeng Song; Liqiang Nie (Inf. Sci., 2024)

A multi-level multi-task progressive framework based on relational graph convolutional networks for causal emotion entailment. - Changzhi Zhou; Dandan Song; Zhijing Wu 001; Linmei Hu; Jing Xu; Yanru Zhou (Knowl. Based Syst., 2024)

Knowledge-Guided Transformer for Joint Theme and Emotion Classification of Chinese Classical Poetry. - Yuting Wei; Linmei Hu; Yangfu Zhu; Jiaqi Zhao; Bin Wu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Prompt-based and weak-modality enhanced multimodal recommendation. - Xue Dong; Xuemeng Song; Minghui Tian; Linmei Hu (Inf. Fusion, 2024)

Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. - Xiaolin Chen; Xuemeng Song; Liqiang Jing; Shuo Li; Linmei Hu; Liqiang Nie (ACM Trans. Inf. Syst., 2024)

A Survey of Knowledge Enhanced Pre-Trained Language Models. - Linmei Hu; Zeyi Liu; Ziwang Zhao; Lei Hou 001; Liqiang Nie; Juanzi Li (IEEE Trans. Knowl. Data Eng., 2024)

SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation. - Zijun Yao 002; Weijian Qi; Liangming Pan; Shulin Cao; Linmei Hu; Weichuan Liu; Lei Hou 001; Juanzi Li (ACL (1), 2025)

Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation. - Xinyu Zhang; Linmei Hu; Luhao Zhang; Wentao Cheng; Yashen Wang; Ge Shi 002; Chong Feng 001; Liqiang Nie (ACL (1), 2025)

Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model. - Luhao Zhang; Xinyu Zhang; Linmei Hu; Dandan Song; Liqiang Nie (ACL (1), 2025)

LoCal: Logical and Causal Fact-Checking with LLM-Based Multi-Agents. - Jiatong Ma; Linmei Hu; Rang Li; Wenbo Fu (WWW, 2025)

ChatLLM network: More brains, more intelligence. - Rui Hao; Linmei Hu; Weijian Qi; Qingliu Wu; Yirui Zhang; Liqiang Nie (AI Open, 2025)

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation. - Changzhi Zhou; Xinyu Zhang; Dandan Song; Xiancai Chen; Wanli Gu; Huipeng Ma; Yuhang Tian; Mengdi Zhang; Linmei Hu (CoRR, 2025)

Efficient and Effective Role Player: A Compact Knowledge-grounded Persona-based Dialogue Model Enhanced by LLM Distillation. - Linmei Hu; Xinyu Zhang; Dandan Song; Changzhi Zhou; Hongyu He; Liqiang Nie (ACM Trans. Inf. Syst., 2025)

Personalized News Recommendation Towards the Era of LLMs: Review and Prospect. - Jie Li; Zeyi Liu; Linmei Hu; Yunbo Rao; Bo Liu; Bo Fang; Liqiang Nie (IEEE Trans. Knowl. Data Eng., 2025)