Guangtao Wang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 45

Top Topics

Dependency Trees

Top Venues

Knowl. Based Syst.

ACM Trans. Knowl. Discov. Data

Publications

Xiaoyan Zhu, Yu Zhang, Jiayin Wang, Guangtao Wang
Graph-enhanced and collaborative attention networks for session-based recommendation. Knowl. Based Syst. 289 (2024)
Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin
Imbalanced Node Classification Beyond Homophilic Assumption. CoRR (2023)
Guangtao Wang, Jun Li, Zhijian Wu, Jianhua Xu, Jifeng Shen, Wankou Yang
EfficientFace: An Efficient Deep Network with Feature Enhancement for Accurate Face Detection. CoRR (2023)
Jie Liu, Lingyun Song, Guangtao Wang, Xuequn Shang
Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding. Neural Networks 157 (2023)
Qinghua Zheng, Yuefei Wu, Guangtao Wang, Yanping Chen, Wei Wu, Zai Zhang, Bin Shi, Bo Dong
Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Xiaoyan Zhu, Jiaxuan Li, Jingtao Ren, Jiayin Wang, Guangtao Wang
Dynamic ensemble learning for multi-label classification. Inf. Sci. 623 (2023)
Guangtao Wang, Jun Li, Jie Xie, Jianhua Xu, Bo Yang
EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection. CoRR (2023)
Guangtao Wang, Jun Li, Jie Xie, Jianhua Xu, Bo Yang
EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection. ACPR (2) (2023)
Guangtao Wang, Jun Li, Zhijian Wu, Jianhua Xu, Jifeng Shen, Wankou Yang
EfficientFace: an efficient deep network with feature enhancement for accurate face detection. Multim. Syst. 29 (5) (2023)
Chao Shang, Guangtao Wang, Peng Qi, Jing Huang
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. ACL (1) (2022)
Peng Qi, Guangtao Wang, Jing Huang
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences. CoRR (2022)
Chao Shang, Guangtao Wang, Peng Qi, Jing Huang
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. CoRR (2022)
Guangtao Wang, Gao Cong, Ying Zhang, Zhen Hai, Jieping Ye
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. CoRR (2021)
Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. NAACL-HLT (2021)
Guangtao Wang, Qinbao Song, Xiaoyan Zhu
Ensemble Learning Based Classification Algorithm Recommendation. CoRR (2021)
Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang
Entity and Evidence Guided Document-Level Relation Extraction. RepL4NLP@ACL-IJCNLP (2021)
Xiaoyan Zhu, Chenzhen Ying, Jiayin Wang, Jiaxuan Li, Xin Lai, Guangtao Wang
Ensemble of ML-KNN for classification algorithm recommendation. Knowl. Based Syst. 221 (2021)
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo
Inductive Learning on Commonsense Knowledge Graph Completion. IJCNN (2021)
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
Multi-hop Attention Graph Neural Networks. IJCAI (2021)
Chao Shang, Peng Qi, Guangtao Wang, Jing Huang, Youzheng Wu, Bowen Zhou
Open Temporal Relation Extraction for Question Answering. AKBC (2021)
Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang
Entity and Evidence Guided Relation Extraction for DocRED. CoRR (2020)
Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. ACL (2020)
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents. AAAI (2020)
Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu
Improving Neural Language Generation with Spectrum Control. ICLR (2020)
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo
Inductive Learning on Commonsense Knowledge Graph Completion. CoRR (2020)
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
Direct Multi-hop Attention based Graph Neural Network. CoRR (2020)
Wei Song, He Jiang, Fan Ma, Qinbao Song, Guangtao Wang
PLAC: Partitioning Based Lazy Classification. J. Softw. 14 (2) (2019)
Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. CoRR (2019)
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. CoRR (2019)
Xiaoyan Zhu, Yu Wang, Yingbin Li, Yonghui Tan, Guangtao Wang, Qinbao Song
A new unsupervised feature selection algorithm using similarity-based feature clustering. Comput. Intell. 35 (1) (2019)
Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
Improving Graph Attention Networks with Large Margin-based Constraints. CoRR (2019)
Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents. CoRR (2019)
Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification. CoRR (2019)
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. ACL (1) (2019)
Xiaoyan Zhu, Xiaomei Yang, Chenzhen Ying, Guangtao Wang
A new classification algorithm recommendation method based on link prediction. Knowl. Based Syst. 159 (2018)
Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin
Margin Based PU Learning. AAAI (2018)
Zhuoxuan Jiang, Shanshan Feng, Weizheng Chen, Guangtao Wang, Xiaoming Li
Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data. PAKDD (2) (2017)
Yueyang He, Xiaoyan Zhu, Guangtao Wang, Heli Sun, Yong Wang
Predicting Bugs in Software Code Changes Using Isolation Forest. QRS (2017)
Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye
Robust Self-Tuning Sparse Subspace Clustering. ICDM Workshops (2017)
Heli Sun, Jiao Liu, Jianbin Huang, Guangtao Wang, Xiaolin Jia, Qinbao Song
LinkLPA: A Link-Based Label Propagation Algorithm for Overlapping Community Detection in Networks. Comput. Intell. 33 (2) (2017)
Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang
Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning. KDD (2017)
Guangtao Wang, Qinbao Song
Automatic Clustering via Outward Statistical Testing on Density Metrics. IEEE Trans. Knowl. Data Eng. 28 (8) (2016)
Qinbao Song, Xiaoyan Zhu, Guangtao Wang, Heli Sun, He Jiang, Chenhao Xue, Baowen Xu, Wei Song
A machine learning based software process model recommendation method. J. Syst. Softw. 118 (2016)
Guangtao Wang, Xiaomei Yang, Xiaoyan Zhu
Single Classifier Selection for Ensemble Learning. ADMA (2016)
Xueying Zhang, Qinbao Song, Guangtao Wang, Kaiyuan Zhang, Liang He, Xiaolin Jia
A dissimilarity-based imbalance data classification algorithm. Appl. Intell. 42 (3) (2015)
Guangtao Wang, Qinbao Song, Xiaoyan Zhu
An improved data characterization method and its application in classification algorithm recommendation. Appl. Intell. 43 (4) (2015)
Guangtao Wang, Qinbao Song, Heli Sun, Xueying Zhang, Baowen Xu, Yuming Zhou
A Feature Subset Selection Algorithm Automatic Recommendation Method. CoRR (2014)
Guangtao Wang, Qinbao Song, Xueying Zhang, Kaiyuan Zhang
A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method. ACM Trans. Knowl. Discov. Data 9 (1) (2014)
Qinbao Song, Jingjie Ni, Guangtao Wang
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 25 (1) (2013)
Guangtao Wang, Qinbao Song, Heli Sun, Xueying Zhang, Baowen Xu, Yuming Zhou
A Feature Subset Selection Algorithm Automatic Recommendation Method. J. Artif. Intell. Res. 47 (2013)
Guangtao Wang, Qinbao Song, Baowen Xu, Yuming Zhou
Selecting feature subset for high dimensional data via the propositional FOIL rules. Pattern Recognit. 46 (1) (2013)
Guangtao Wang, Qinbao Song
A novel feature subset selection algorithm based on association rule mining. Intell. Data Anal. 17 (5) (2013)
Guangtao Wang, Qinbao Song
Selecting Feature Subset via Constraint Association Rules. PAKDD (2) (2012)
Qinbao Song, Guangtao Wang, Chao Wang
Automatic recommendation of classification algorithms based on data set characteristics. Pattern Recognit. 45 (7) (2012)