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Journal Articles
- 2024
[j21]Xiaoyan Zhu
, Yu Zhang, Jiayin Wang, Guangtao Wang:
Graph-enhanced and collaborative attention networks for session-based recommendation. Knowl. Based Syst. 289: 111509 (2024)- 2023
- [j20]Xiaoyan Zhu, Jiaxuan Li, Jingtao Ren, Jiayin Wang, Guangtao Wang:
Dynamic ensemble learning for multi-label classification. Inf. Sci. 623: 94-111 (2023) - [j19]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): 2825-2839 (2023) - [j18]Jie Liu, Lingyun Song, Guangtao Wang, Xuequn Shang:
Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding. Neural Networks 157: 65-76 (2023) - [j17]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: 2899-2909 (2023) - 2022
- [j16]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): 29:1-29:30 (2022) - 2021
- [j15]Xiaoyan Zhu, Chenzhen Ying, Jiayin Wang, Jiaxuan Li, Xin Lai, Guangtao Wang:
Ensemble of ML-KNN for classification algorithm recommendation. Knowl. Based Syst. 221: 106933 (2021) - 2019
- [j14]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): 2-22 (2019) - [j13]Wei Song, He Jiang, Fan Ma, Qinbao Song, Guangtao Wang:
PLAC: Partitioning Based Lazy Classification. J. Softw. 14(2): 65-91 (2019) - 2018
- [j12]Xiaoyan Zhu, Xiaomei Yang, Chenzhen Ying, Guangtao Wang:
A new classification algorithm recommendation method based on link prediction. Knowl. Based Syst. 159: 171-185 (2018) - 2017
- [j11]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): 308-331 (2017) - 2016
- [j10]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: 85-100 (2016) - [j9]Guangtao Wang, Qinbao Song:
Automatic Clustering via Outward Statistical Testing on Density Metrics. IEEE Trans. Knowl. Data Eng. 28(8): 1971-1985 (2016) - 2015
- [j8]Xueying Zhang, Qinbao Song, Guangtao Wang, Kaiyuan Zhang, Liang He, Xiaolin Jia:
A dissimilarity-based imbalance data classification algorithm. Appl. Intell. 42(3): 544-565 (2015) - [j7]Guangtao Wang, Qinbao Song, Xiaoyan Zhu:
An improved data characterization method and its application in classification algorithm recommendation. Appl. Intell. 43(4): 892-912 (2015) - 2014
- [j6]Guangtao Wang, Qinbao Song, Xueying Zhang, Kaiyuan Zhang:
A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method. ACM Trans. Knowl. Discov. Data 9(1): 7:1-7:30 (2014) - 2013
- [j5]Guangtao Wang, Qinbao Song:
A novel feature subset selection algorithm based on association rule mining. Intell. Data Anal. 17(5): 803-835 (2013) - [j4]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: 1-34 (2013) - [j3]Guangtao Wang, Qinbao Song, Baowen Xu, Yuming Zhou:
Selecting feature subset for high dimensional data via the propositional FOIL rules. Pattern Recognit. 46(1): 199-214 (2013) - [j2]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): 1-14 (2013) - 2012
- [j1]Qinbao Song, Guangtao Wang, Chao Wang:
Automatic recommendation of classification algorithms based on data set characteristics. Pattern Recognit. 45(7): 2672-2689 (2012)
Conference and Workshop Papers
- 2023
- [c18]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: 74-87 - 2022
- [c17]Chao Shang, Guangtao Wang, Peng Qi, Jing Huang:
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. ACL (1) 2022: 8017-8026 - 2021
- [c16]Chao Shang, Peng Qi, Guangtao Wang, Jing Huang, Youzheng Wu, Bowen Zhou:
Open Temporal Relation Extraction for Question Answering. AKBC 2021 - [c15]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Multi-hop Attention Graph Neural Networks. IJCAI 2021: 3089-3096 - [c14]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. IJCNN 2021: 1-8 - [c13]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: 2884-2894 - [c12]Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang:
Entity and Evidence Guided Document-Level Relation Extraction. RepL4NLP@ACL-IJCNLP 2021: 307-315 - 2020
- [c11]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: 9073-9080 - [c10]Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou:
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. ACL 2020: 2713-2722 - [c9]Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu:
Improving Neural Language Generation with Spectrum Control. ICLR 2020 - 2019
- [c8]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: 2704-2713 - 2018
- [c7]Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin:
Margin Based PU Learning. AAAI 2018: 3037-3044 - 2017
- [c6]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: 858-865 - [c5]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: 345-354 - [c4]Zhuoxuan Jiang, Shanshan Feng, Weizheng Chen, Guangtao Wang, Xiaoming Li:
Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data. PAKDD (2) 2017: 683-695 - [c3]Yueyang He, Xiaoyan Zhu, Guangtao Wang, Heli Sun, Yong Wang:
Predicting Bugs in Software Code Changes Using Isolation Forest. QRS 2017: 296-305 - 2016
- [c2]Guangtao Wang, Xiaomei Yang, Xiaoyan Zhu:
Single Classifier Selection for Ensemble Learning. ADMA 2016: 312-328 - 2012
- [c1]Guangtao Wang, Qinbao Song:
Selecting Feature Subset via Constraint Association Rules. PAKDD (2) 2012: 304-321
Informal and Other Publications
- 2023
- [i16]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 abs/2302.11816 (2023) - [i15]Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin:
Imbalanced Node Classification Beyond Homophilic Assumption. CoRR abs/2304.14635 (2023) - [i14]Guangtao Wang, Jun Li, Jie Xie, Jianhua Xu, Bo Yang:
EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection. CoRR abs/2306.02277 (2023) - 2022
- [i13]Chao Shang, Guangtao Wang, Peng Qi, Jing Huang:
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. CoRR abs/2203.00255 (2022) - [i12]Peng Qi, Guangtao Wang, Jing Huang:
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences. CoRR abs/2208.02169 (2022) - 2021
- [i11]Guangtao Wang, Qinbao Song, Xiaoyan Zhu:
Ensemble Learning Based Classification Algorithm Recommendation. CoRR abs/2101.05993 (2021) - [i10]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 abs/2103.11794 (2021) - 2020
- [i9]Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang:
Entity and Evidence Guided Relation Extraction for DocRED. CoRR abs/2008.12283 (2020) - [i8]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. CoRR abs/2009.09263 (2020) - [i7]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Direct Multi-hop Attention based Graph Neural Network. CoRR abs/2009.14332 (2020) - 2019
- [i6]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 abs/1905.07374 (2019) - [i5]Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou:
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification. CoRR abs/1910.10857 (2019) - [i4]Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec:
Improving Graph Attention Networks with Large Margin-based Constraints. CoRR abs/1910.11945 (2019) - [i3]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 abs/1911.00484 (2019) - [i2]Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou:
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. CoRR abs/1911.04910 (2019) - 2014
- [i1]Guangtao Wang, Qinbao Song, Heli Sun, Xueying Zhang, Baowen Xu, Yuming Zhou:
A Feature Subset Selection Algorithm Automatic Recommendation Method. CoRR abs/1402.0570 (2014)
Coauthor Index
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