Linmei Hu

Orcid: 0000-0001-9061-8725

According to our database1, Linmei Hu authored at least 53 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Survey of Knowledge Enhanced Pre-Trained Language Models.
IEEE Trans. Knowl. Data Eng., April, 2024

Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model.
ACM Trans. Inf. Syst., March, 2024

Prompt-based and weak-modality enhanced multimodal recommendation.
Inf. Fusion, January, 2024

LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model.
CoRR, 2024

KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases.
CoRR, 2024

LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Causal Inference for Leveraging Image-Text Matching Bias in Multi-Modal Fake News Detection.
IEEE Trans. Knowl. Data Eng., November, 2023

Enhancing Human Capabilities through Symbiotic Artificial Intelligence with Shared Sensory Experiences.
CoRR, 2023

ChatLLM Network: More brains, More intelligence.
CoRR, 2023

Knowledge Graph Enhanced Language Models for Sentiment Analysis.
Proceedings of the Semantic Web - ISWC 2023, 2023

Verbalizer or Classifier? A New Prompt Learning Model for Event Causality Identification.
Proceedings of the International Joint Conference on Neural Networks, 2023

Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Deep learning for fake news detection: A comprehensive survey.
AI Open, January, 2022

RHINE: Relation Structure-Aware Heterogeneous Information Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Multi-Relation Extraction via A Global-Local Graph Convolutional Network.
IEEE Trans. Big Data, 2022

A lexical psycholinguistic knowledge-guided graph neural network for interpretable personality detection.
Knowl. Based Syst., 2022

MMNet: Multi-modal Fusion with Mutual Learning Network for Fake News Detection.
CoRR, 2022

Contrastive Graph Transformer Network for Personality Detection.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
ACM Trans. Inf. Syst., 2021

Text-Graph Enhanced Knowledge Graph Representation Learning.
Frontiers Artif. Intell., 2021

Entity set expansion in knowledge graph: a heterogeneous information network perspective.
Frontiers Comput. Sci., 2021

Sequence-aware Heterogeneous Graph Neural Collaborative Filtering.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Graph neural entity disambiguation.
Knowl. Based Syst., 2020

Graph neural news recommendation with long-term and short-term interest modeling.
Inf. Process. Manag., 2020

A neural model for joint event detection and prediction.
Neurocomputing, 2020

Integrating Hierarchical Attentions for Future Subevent Prediction.
IEEE Access, 2020

Adversarial Label-Flipping Attack and Defense for Graph Neural Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Graph Neural News Recommendation with Unsupervised Preference Disentanglement.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Virtually Trying on New Clothing with Arbitrary Poses.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

DRAM: A Deep Reinforced Intra-attentive Model for Event Prediction.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Incorporating Instance Correlations in Distantly Supervised Relation Extraction.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

Improving Distantly-Supervised Relation Extraction with Joint Label Embedding.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Meta-Path based Text Feature Enrichment Using Knowledge Graph.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Enhancing Joint Entity and Relation Extraction with Language Modeling and Hierarchical Attention.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019

Relation Structure-Aware Heterogeneous Information Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
Adaptive online event detection in news streams.
Knowl. Based Syst., 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).
计算机科学, 2017

What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
RiMOM-IM: A Novel Iterative Framework for Instance Matching.
J. Comput. Sci. Technol., 2016

2015
Incremental learning from news events.
Knowl. Based Syst., 2015

o-HETM: An Online Hierarchical Entity Topic Model for News Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Topic Hierarchies for Wikipedia Categories.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
RiMOM-IM results for OAEI 2014.
Proceedings of the 9th International Workshop on Ontology Matching collocated with the 13th International Semantic Web Conference (ISWC 2014), 2014

2013
RiMOM2013 results for OAEI 2013.
Proceedings of the 8th International Workshop on Ontology Matching co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

Incorporating Entities in News Topic Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2013


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