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2020 – today
- 2024
[j22]Xue Dong
, Xuemeng Song, Minghui Tian, Linmei Hu:
Prompt-based and weak-modality enhanced multimodal recommendation. Inf. Fusion 101: 101989 (2024)- [j21]Linmei Hu, Ziwang Zhao, Weijian Qi, Xuemeng Song, Liqiang Nie:
Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection. Inf. Sci. 664: 120310 (2024) - [j20]Changzhi Zhou, Dandan Song, Zhijing Wu, Linmei Hu, Jing Xu, Yanru Zhou:
A multi-level multi-task progressive framework based on relational graph convolutional networks for causal emotion entailment. Knowl. Based Syst. 299: 112108 (2024) - [j19]Yuting Wei, Linmei Hu, Yangfu Zhu, Jiaqi Zhao, Bin Wu:
Knowledge-Guided Transformer for Joint Theme and Emotion Classification of Chinese Classical Poetry. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4783-4794 (2024) - [j18]Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, Juanzi Li:
A Survey of Knowledge Enhanced Pre-Trained Language Models. IEEE Trans. Knowl. Data Eng. 36(4): 1413-1430 (2024) - [j17]Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie:
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. ACM Trans. Inf. Syst. 42(2): 53:1-53:25 (2024) - [c34]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: 18234-18242 - [c33]Jinxin Liu, Shulin Cao, Jiaxin Shi, Tingjian Zhang, Lunyiu Nie, Linmei Hu, Lei Hou, Juanzi Li:
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering. ACL (Findings) 2024: 792-815 - [c32]Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li:
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases. EMNLP 2024: 2868-2882 - [c31]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 Multimedia 2024: 3917-3925 - [c30]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: 1984-1994 - [c29]Changzhi Zhou, Zhijing Wu, Dandan Song, Linmei Hu, Yuhang Tian, Jing Xu:
Span-Pair Interaction and Tagging for Dialogue-Level Aspect-Based Sentiment Quadruple Analysis. WWW 2024: 3995-4005 - [i11]Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li:
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases. CoRR abs/2402.01619 (2024) - [i10]Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie:
LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model. CoRR abs/2403.07581 (2024) - [i9]Zijun Yao, Weijian Qi, Liangming Pan, Shulin Cao, Linmei Hu, Weichuan Liu, Lei Hou, Juanzi Li:
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation. CoRR abs/2406.19215 (2024) - [i8]Xinyu Zhang, Linmei Hu, Luhao Zhang, Dandan Song, Heyan Huang, Liqiang Nie:
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information. CoRR abs/2409.01605 (2024) - 2023
- [j16]Linmei Hu, Ziwei Chen, Ziwang Zhao, Jianhua Yin, Liqiang Nie:
Causal Inference for Leveraging Image-Text Matching Bias in Multi-Modal Fake News Detection. IEEE Trans. Knowl. Data Eng. 35(11): 11141-11152 (2023) - [c28]Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, Liqiang Nie:
Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. ACL (1) 2023: 627-638 - [c27]Ziwang Zhao, Linmei Hu, Hanyu Zhao, Yingxia Shao, Yequan Wang:
Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering. ACL (1) 2023: 9051-9063 - [c26]Zhicong Lu, Li Jin, Guangluan Xu, Linmei Hu, Nayu Liu, Xiaoyu Li, Xian Sun, Zequn Zhang, Kaiwen Wei:
Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward. EMNLP (Findings) 2023: 6274-6287 - [c25]Weiwei Zhang, Linmei Hu, Yuting Wei, Bin Wu:
Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification. IJCNN 2023: 1-7 - [c24]Jie Li, Xuan Li, Linmei Hu, Yirui Zhang, Jinrui Wang:
Knowledge Graph Enhanced Language Models for Sentiment Analysis. ISWC 2023: 447-464 - [i7]Rui Hao, Linmei Hu, Weijian Qi, Qingliu Wu, Yirui Zhang, Liqiang Nie:
ChatLLM Network: More brains, More intelligence. CoRR abs/2304.12998 (2023) - [i6]Rui Hao, Dianbo Liu, Linmei Hu:
Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences. CoRR abs/2305.19278 (2023) - 2022
- [j15]Linmei Hu, Siqi Wei, Ziwang Zhao, Bin Wu:
Deep learning for fake news detection: A comprehensive survey. AI Open 3: 133-155 (2022) - [j14]Yangfu Zhu, Linmei Hu, Nianwen Ning, Wei Zhang, Bin Wu:
A lexical psycholinguistic knowledge-guided graph neural network for interpretable personality detection. Knowl. Based Syst. 249: 108952 (2022) - [j13]Harry Cheng, Lizi Liao, Linmei Hu, Liqiang Nie:
Multi-Relation Extraction via A Global-Local Graph Convolutional Network. IEEE Trans. Big Data 8(6): 1716-1728 (2022) - [j12]Chuan Shi, Yuanfu Lu, Linmei Hu, Zhiyuan Liu, Huadong Ma:
RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding. IEEE Trans. Knowl. Data Eng. 34(1): 433-447 (2022) - [c23]Yangfu Zhu, Linmei Hu, Xinkai Ge, Wanrong Peng, Bin Wu:
Contrastive Graph Transformer Network for Personality Detection. IJCAI 2022: 4559-4565 - [i5]Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie:
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. CoRR abs/2207.07934 (2022) - [i4]Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, Juanzi Li:
A Survey of Knowledge-Enhanced Pre-trained Language Models. CoRR abs/2211.05994 (2022) - [i3]Linmei Hu, Ziwang Zhao, Xinkai Ge, Xuemeng Song, Liqiang Nie:
MMNet: Multi-modal Fusion with Mutual Learning Network for Fake News Detection. CoRR abs/2212.05699 (2022) - 2021
- [j11]Chuan Shi, Jiayu Ding, Xiaohuan Cao, Linmei Hu, Bin Wu, Xiaoli Li:
Entity set expansion in knowledge graph: a heterogeneous information network perspective. Frontiers Comput. Sci. 15(1): 151307 (2021) - [j10]Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang, Zhiyuan Liu:
Text-Graph Enhanced Knowledge Graph Representation Learning. Frontiers Artif. Intell. 4: 697856 (2021) - [j9]Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li, Liqiang Nie:
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. ACM Trans. Inf. Syst. 39(3): 32:1-32:29 (2021) - [c22]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/IJCNLP (1) 2021: 754-763 - [c21]Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou:
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. PAKDD (3) 2021: 325-337 - [c20]Chen Li, Linmei Hu, Chuan Shi, Guojie Song, Yuanfu Lu:
Sequence-aware Heterogeneous Graph Neural Collaborative Filtering. SDM 2021: 64-72 - 2020
- [j8]Linmei Hu:
Integrating Hierarchical Attentions for Future Subevent Prediction. IEEE Access 8: 3106-3114 (2020) - [j7]Linmei Hu, Shuqi Yu, Bin Wu, Chao Shao, Xiaoli Li:
A neural model for joint event detection and prediction. Neurocomputing 407: 376-384 (2020) - [j6]Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao:
Graph neural news recommendation with long-term and short-term interest modeling. Inf. Process. Manag. 57(2): 102142 (2020) - [j5]Linmei Hu, Jiayu Ding, Chuan Shi, Chao Shao, Shaohua Li:
Graph neural entity disambiguation. Knowl. Based Syst. 195: 105620 (2020) - [c19]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 - [c18]Mengmei Zhang, Linmei Hu, Chuan Shi, Xiao Wang:
Adversarial Label-Flipping Attack and Defense for Graph Neural Networks. ICDM 2020: 791-800
2010 – 2019
- 2019
- [c17]Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu:
Relation Structure-Aware Heterogeneous Information Network Embedding. AAAI 2019: 4456-4463 - [c16]Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi:
Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks. APWeb/WAIM (1) 2019: 95-109 - [c15]Renjun Chi, Bin Wu, Linmei Hu, Yunlei Zhang:
Enhancing Joint Entity and Relation Extraction with Language Modeling and Hierarchical Attention. APWeb/WAIM (1) 2019: 314-328 - [c14]Jiayu Ding, Xiaohuan Cao, Linmei Hu, Chuan Shi:
Meta-Path based Text Feature Enrichment Using Knowledge Graph. DSC 2019: 649-655 - [c13]Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang:
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. EMNLP/IJCNLP (1) 2019: 3819-3827 - [c12]Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li:
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. EMNLP/IJCNLP (1) 2019: 4820-4829 - [c11]Luhao Zhang, Linmei Hu, Chuan Shi:
Incorporating Instance Correlations in Distantly Supervised Relation Extraction. JIST 2019: 177-191 - [c10]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 - [c9]Shuqi Yu, Linmei Hu, Bin Wu:
DRAM: A Deep Reinforced Intra-attentive Model for Event Prediction. KSEM (1) 2019: 701-713 - [c8]Na Zheng, Xuemeng Song, Zhaozheng Chen, Linmei Hu, Da Cao, Liqiang Nie:
Virtually Trying on New Clothing with Arbitrary Poses. ACM Multimedia 2019: 266-274 - [i2]Yuanfu Lu, Chuan Shi, Linmei Hu, Zhiyuan Liu:
Relation Structure-Aware Heterogeneous Information Network Embedding. CoRR abs/1905.08027 (2019) - [i1]Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao:
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling. CoRR abs/1910.14025 (2019) - 2017
- [j4]Xuzhong Wang, Yan Liu, Linmei Hu, Jing Chen:
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). 计算机科学 44(5): 226-231 (2017) - [j3]Linmei Hu, Bin Zhang, Lei Hou, Juanzi Li:
Adaptive online event detection in news streams. Knowl. Based Syst. 138: 105-112 (2017) - [c7]Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao:
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. AAAI 2017: 3450-3456 - 2016
- [j2]Chao Shao, Linmei Hu, Juan-Zi Li, Zhichun Wang, Tong Lee Chung, Jun-Bo Xia:
RiMOM-IM: A Novel Iterative Framework for Instance Matching. J. Comput. Sci. Technol. 31(1): 185-197 (2016) - 2015
- [j1]Linmei Hu, Chao Shao, Juanzi Li, Heng Ji:
Incremental learning from news events. Knowl. Based Syst. 89: 618-626 (2015) - [c6]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 - [c5]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 - [c4]Linmei Hu, Juan-Zi Li, Jing Zhang, Chao Shao:
o-HETM: An Online Hierarchical Entity Topic Model for News Streams. PAKDD (1) 2015: 696-707 - 2014
- [c3]Chao Shao, Linmei Hu, Juanzi Li:
RiMOM-IM results for OAEI 2014. OM 2014: 149-154 - 2013
- [c2]Linmei Hu, Juan-Zi Li, Zhihui Li, Chao Shao, Zhixing Li:
Incorporating Entities in News Topic Modeling. NLPCC 2013: 139-150 - [c1]Qian Zheng, Chao Shao, Juanzi Li, Zhichun Wang, Linmei Hu:
RiMOM2013 results for OAEI 2013. OM 2013: 161-168
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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