Guangtao Wang

Orcid: 0000-0003-2766-0917

According to our database1, Guangtao Wang authored at least 46 papers between 2012 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Graph-enhanced and collaborative attention networks for session-based recommendation.
Knowl. Based Syst., 2024

2023
EfficientFace: an efficient deep network with feature enhancement for accurate face detection.
Multim. Syst., October, 2023

Dynamic ensemble learning for multi-label classification.
Inf. Sci., April, 2023

Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding.
Neural Networks, 2023

Imbalanced Node Classification Beyond Homophilic Assumption.
CoRR, 2023

EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream.
ACM Trans. Knowl. Discov. Data, 2022

SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences.
CoRR, 2022

Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Ensemble of ML-KNN for classification algorithm recommendation.
Knowl. Based Syst., 2021

Ensemble Learning Based Classification Algorithm Recommendation.
CoRR, 2021

Entity and Evidence Guided Document-Level Relation Extraction.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Inductive Learning on Commonsense Knowledge Graph Completion.
Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-hop Attention Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Open Temporal Relation Extraction for Question Answering.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020
Direct Multi-hop Attention based Graph Neural Network.
CoRR, 2020

Entity and Evidence Guided Relation Extraction for DocRED.
CoRR, 2020

Improving Neural Language Generation with Spectrum Control.
Proceedings of the 8th International Conference on Learning Representations, 2020

Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
PLAC: Partitioning Based Lazy Classification.
J. Softw., 2019

Improving Graph Attention Networks with Large Margin-based Constraints.
CoRR, 2019

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification.
CoRR, 2019

A new unsupervised feature selection algorithm using similarity-based feature clustering.
Comput. Intell., 2019

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A new classification algorithm recommendation method based on link prediction.
Knowl. Based Syst., 2018

Margin Based PU Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
LinkLPA: A Link-Based Label Propagation Algorithm for Overlapping Community Detection in Networks.
Comput. Intell., 2017

Predicting Bugs in Software Code Changes Using Isolation Forest.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Robust Self-Tuning Sparse Subspace Clustering.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Automatic Clustering via Outward Statistical Testing on Density Metrics.
IEEE Trans. Knowl. Data Eng., 2016

A machine learning based software process model recommendation method.
J. Syst. Softw., 2016

Single Classifier Selection for Ensemble Learning.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
A dissimilarity-based imbalance data classification algorithm.
Appl. Intell., 2015

An improved data characterization method and its application in classification algorithm recommendation.
Appl. Intell., 2015

2014
A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method.
ACM Trans. Knowl. Discov. Data, 2014

2013
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2013

Selecting feature subset for high dimensional data via the propositional FOIL rules.
Pattern Recognit., 2013

A Feature Subset Selection Algorithm Automatic Recommendation Method.
J. Artif. Intell. Res., 2013

A novel feature subset selection algorithm based on association rule mining.
Intell. Data Anal., 2013

2012
Automatic recommendation of classification algorithms based on data set characteristics.
Pattern Recognit., 2012

Selecting Feature Subset via Constraint Association Rules.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012


  Loading...