Guangtao Wang

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph-enhanced and collaborative attention networks for session-based recommendation.

Xiaoyan Zhu, Yu Zhang, Jiayin Wang, Guangtao Wang

Knowl. Based Syst., 2024

2023

EfficientFace: an efficient deep network with feature enhancement for accurate face detection.

Guangtao Wang, Jun Li, Zhijian Wu, Jianhua Xu, Jifeng Shen, Wankou Yang

Multim. Syst., October, 2023

Dynamic ensemble learning for multi-label classification.

Xiaoyan Zhu, Jiaxuan Li, Jingtao Ren, Jiayin Wang, Guangtao Wang

Inf. Sci., April, 2023

Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition.

Qinghua Zheng, Yuefei Wu, Guangtao Wang, Yanping Chen, Wei Wu, Zai Zhang, Bin Shi, Bo Dong

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding.

Jie Liu, Lingyun Song, Guangtao Wang, Xuequn Shang

Neural Networks, 2023

Imbalanced Node Classification Beyond Homophilic Assumption.

Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin

CoRR, 2023

EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection.

Guangtao Wang, Jun Li, Jie Xie, Jianhua Xu, Bo Yang

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream.

Guangtao Wang, Gao Cong, Ying Zhang, Zhen Hai, Jieping Ye

ACM Trans. Knowl. Discov. Data, 2022

SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences.

Peng Qi, Guangtao Wang, Jing Huang

CoRR, 2022

Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs.

Chao Shang, Guangtao Wang, Peng Qi, Jing Huang

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.

Xiaoyan Zhu, Chenzhen Ying, Jiayin Wang, Jiaxuan Li, Xin Lai, Guangtao Wang

Knowl. Based Syst., 2021

Ensemble Learning Based Classification Algorithm Recommendation.

Guangtao Wang, Qinbao Song, Xiaoyan Zhu

CoRR, 2021

Entity and Evidence Guided Document-Level Relation Extraction.

Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification.

Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou

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.

Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo

Proceedings of the International Joint Conference on Neural Networks, 2021

Multi-hop Attention Graph Neural Networks.

Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Open Temporal Relation Extraction for Question Answering.

Chao Shang, Peng Qi, Guangtao Wang, Jing Huang, Youzheng Wu, Bowen Zhou

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020

Direct Multi-hop Attention based Graph Neural Network.

Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

CoRR, 2020

Entity and Evidence Guided Relation Extraction for DocRED.

Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang

CoRR, 2020

Improving Neural Language Generation with Spectrum Control.

Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu

Proceedings of the 8th International Conference on Learning Representations, 2020

Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding.

Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou

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.

Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

PLAC: Partitioning Based Lazy Classification.

Wei Song, He Jiang, Fan Ma, Qinbao Song, Guangtao Wang

J. Softw., 2019

Improving Graph Attention Networks with Large Margin-based Constraints.

Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

CoRR, 2019

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

Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou

CoRR, 2019

A new unsupervised feature selection algorithm using similarity-based feature clustering.

Xiaoyan Zhu, Yu Wang, Yingbin Li, Yonghui Tan, Guangtao Wang, Qinbao Song

Comput. Intell., 2019

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs.

Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A new classification algorithm recommendation method based on link prediction.

Xiaoyan Zhu, Xiaomei Yang, Chenzhen Ying, Guangtao Wang

Knowl. Based Syst., 2018

Margin Based PU Learning.

Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin

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.

Heli Sun, Jiao Liu, Jianbin Huang, Guangtao Wang, Xiaolin Jia, Qinbao Song

Comput. Intell., 2017

Predicting Bugs in Software Code Changes Using Isolation Forest.

Yueyang He, Xiaoyan Zhu, Guangtao Wang, Heli Sun, Yong Wang

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data.

Zhuoxuan Jiang, Shanshan Feng, Weizheng Chen, Guangtao Wang, Xiaoming Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning.

Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang

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.

Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Automatic Clustering via Outward Statistical Testing on Density Metrics.

Guangtao Wang, Qinbao Song

IEEE Trans. Knowl. Data Eng., 2016

A machine learning based software process model recommendation method.

Qinbao Song, Xiaoyan Zhu, Guangtao Wang, Heli Sun, He Jiang, Chenhao Xue, Baowen Xu, Wei Song

J. Syst. Softw., 2016

Single Classifier Selection for Ensemble Learning.

Guangtao Wang, Xiaomei Yang, Xiaoyan Zhu

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

A dissimilarity-based imbalance data classification algorithm.

Xueying Zhang, Qinbao Song, Guangtao Wang, Kaiyuan Zhang, Liang He, Xiaolin Jia

Appl. Intell., 2015

An improved data characterization method and its application in classification algorithm recommendation.

Guangtao Wang, Qinbao Song, Xiaoyan Zhu

Appl. Intell., 2015

2014

A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method.

Guangtao Wang, Qinbao Song, Xueying Zhang, Kaiyuan Zhang

ACM Trans. Knowl. Discov. Data, 2014

2013

A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data.

Qinbao Song, Jingjie Ni, Guangtao Wang

IEEE Trans. Knowl. Data Eng., 2013

Selecting feature subset for high dimensional data via the propositional FOIL rules.

Guangtao Wang, Qinbao Song, Baowen Xu, Yuming Zhou

Pattern Recognit., 2013

A Feature Subset Selection Algorithm Automatic Recommendation Method.

Guangtao Wang, Qinbao Song, Heli Sun, Xueying Zhang, Baowen Xu, Yuming Zhou

J. Artif. Intell. Res., 2013

A novel feature subset selection algorithm based on association rule mining.

Guangtao Wang, Qinbao Song

Intell. Data Anal., 2013

2012

Automatic recommendation of classification algorithms based on data set characteristics.

Qinbao Song, Guangtao Wang, Chao Wang

Pattern Recognit., 2012

Selecting Feature Subset via Constraint Association Rules.

Guangtao Wang, Qinbao Song

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012