Zhehuan Zhao

Orcid: 0000-0002-5001-1352

According to our database1, Zhehuan Zhao authored at least 33 papers between 2012 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security.
IEEE Trans. Consumer Electron., February, 2024

A self-supervised entity alignment framework via attribute correction.
J. King Saud Univ. Comput. Inf. Sci., 2024

PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction.
CoRR, 2024

Semantics Driven Multi-View Knowledge Graph Embedding for Cross-Lingual Entity Alignment.
Proceedings of the IEEE International Conference on Acoustics, 2024

MLGAT: Multi-Scale Line Graph Attention Network for Emotion Recognition in Conversation.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

ESCP: Enhancing Emotion Recognition in Conversation with Speech and Contextual Prefixes.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Dual Relation-Aware Entity Alignment for Knowledge Graph.
Proceedings of the International Joint Conference on Neural Networks, 2023

Biomedical Named Entity Recognition Through Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Mining Multivariate Implicit Relationships in Academic Networks.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

MET-Meme: A Multimodal Meme Dataset Rich in Metaphors.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification.
Proceedings of the Information Retrieval - 27th China Conference, 2021

TL-BERT: A Novel Biomedical Relation Extraction Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
DRGCN: Deep Relation GCN for Group Activity Recognition.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Context-Based Network For Referring Image Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Neural network-based approaches for biomedical relation classification: A review.
J. Biomed. Informatics, 2019

Distantly Supervised Relation Extraction through a Trade-off Mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2019

Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Protein complexes identification based on go attributed network embedding.
BMC Bioinform., 2018

Leveraging Biomedical Resources in Bi-LSTM for Drug-Drug Interaction Extraction.
IEEE Access, 2018

Full-attention Based Drug Drug Interaction Extraction Exploiting User-generated Content.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

HMNPPID: A Database of Protein-protein Interactions Associated with Human Malignant Neoplasms.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Assembling Deep Neural Networks for Medical Compound Figure Detection.
Inf., 2017

Deep Transfer Learning for Modality Classification of Medical Images.
Inf., 2017

An attention-based effective neural model for drug-drug interactions extraction.
BMC Bioinform., 2017

A hybrid protein-protein interaction triple extraction method for biomedical literature.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
A graph kernel based on context vectors for extracting drug-drug interactions.
J. Biomed. Informatics, 2016

A protein-protein interaction extraction approach based on deep neural network.
Int. J. Data Min. Bioinform., 2016

Drug drug interaction extraction from biomedical literature using syntax convolutional neural network.
Bioinform., 2016

Visual and Textual Sentiment Analysis of a Microblog Using Deep Convolutional Neural Networks.
Algorithms, 2016

ML-CNN: A novel deep learning based disease named entity recognition architecture.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Deep neural network based protein-protein interaction extraction from biomedical literature.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2012
PPIExtractor: A protein-protein interaction Extractor for biomédical literature.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012


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