Selecting Feature Subset via Constraint Association Rules. - Guangtao Wang; Qinbao Song (PAKDD (2), 2012)

Automatic recommendation of classification algorithms based on data set characteristics. - Qinbao Song; Guangtao Wang; Chao Wang (Pattern Recognit., 2012)

A novel feature subset selection algorithm based on association rule mining. - Guangtao Wang; Qinbao Song (Intell. Data Anal., 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)

Selecting feature subset for high dimensional data via the propositional FOIL rules. - Guangtao Wang; Qinbao Song; Baowen Xu; Yuming Zhou (Pattern Recognit., 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)

A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method. - Guangtao Wang; Qinbao Song; Xueying Zhang; Kaiyuan Zhang (ACM Trans. Knowl. Discov. Data, 2014)

An improved data characterization method and its application in classification algorithm recommendation. - Guangtao Wang; Qinbao Song; Xiaoyan Zhu (Appl. Intell., 2015)

A dissimilarity-based imbalance data classification algorithm. - Xueying Zhang; Qinbao Song; Guangtao Wang; Kaiyuan Zhang; Liang He 006; Xiaolin Jia (Appl. Intell., 2015)

Single Classifier Selection for Ensemble Learning. - Guangtao Wang; Xiaomei Yang; Xiaoyan Zhu (ADMA, 2016)

A machine learning based software process model recommendation method. - Qinbao Song; Xiaoyan Zhu 003; Guangtao Wang; Heli Sun; He Jiang; Chenhao Xue; Baowen Xu; Wei Song (J. Syst. Softw., 2016)

Automatic Clustering via Outward Statistical Testing on Density Metrics. - Guangtao Wang; Qinbao Song (IEEE Trans. Knowl. Data Eng., 2016)

Robust Self-Tuning Sparse Subspace Clustering. - Guangtao Wang; Jiayu Zhou; Jingjie Ni; Tingjin Luo; Wei Long; Hai Zhen; Gao Cong; Jieping Ye (ICDM Workshops, 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 005 (KDD, 2017)

Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data. - Zhuoxuan Jiang; Shanshan Feng 001; Weizheng Chen; Guangtao Wang; Xiaoming Li 001 (PAKDD (2), 2017)

Predicting Bugs in Software Code Changes Using Isolation Forest. - Yueyang He; Xiaoyan Zhu; Guangtao Wang; Heli Sun; Yong Wang (QRS, 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)

Margin Based PU Learning. - Tieliang Gong; Guangtao Wang; Jieping Ye; Zongben Xu; Ming Lin (AAAI, 2018)

A new classification algorithm recommendation method based on link prediction. - Xiaoyan Zhu 003; Xiaomei Yang; Chenzhen Ying; Guangtao Wang (Knowl. Based Syst., 2018)

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. - Ming Tu; Guangtao Wang; Jing Huang 019; Yun Tang 002; Xiaodong He 001; Bowen Zhou 001 (ACL (1), 2019)

A new unsupervised feature selection algorithm using similarity-based feature clustering. - Xiaoyan Zhu 003; Yu Wang 069; Yingbin Li; Yonghui Tan; Guangtao Wang; Qinbao Song (Comput. Intell., 2019)

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification. - Xiaochen Hou; Jing Huang 019; Guangtao Wang; Kevin Huang 002; Xiaodong He 001; Bowen Zhou 001 (CoRR, 2019)

Improving Graph Attention Networks with Large Margin-based Constraints. - Guangtao Wang; Rex Ying; Jing Huang 019; Jure Leskovec (CoRR, 2019)

PLAC: Partitioning Based Lazy Classification. - Wei Song; He Jiang; Fan Ma; Qinbao Song; Guangtao Wang (J. Softw., 2019)

Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents. - Ming Tu; Kevin Huang 002; Guangtao Wang; Jing Huang 019; Xiaodong He 001; Bowen Zhou 001 (AAAI, 2020)

Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. - Yun Tang 002; Jing Huang 019; Guangtao Wang; Xiaodong He 001; Bowen Zhou 001 (ACL, 2020)

Improving Neural Language Generation with Spectrum Control. - Lingxiao Wang 001; Jing Huang 019; Kevin Huang 002; Ziniu Hu; Guangtao Wang; Quanquan Gu (ICLR, 2020)

Entity and Evidence Guided Relation Extraction for DocRED. - Kevin Huang 002; Guangtao Wang; Tengyu Ma 001; Jing Huang 019 (CoRR, 2020)

Direct Multi-hop Attention based Graph Neural Network. - Guangtao Wang; Rex Ying; Jing Huang 019; Jure Leskovec (CoRR, 2020)

Open Temporal Relation Extraction for Question Answering. - Chao Shang; Peng Qi 003; Guangtao Wang; Jing Huang 019; Youzheng Wu; Bowen Zhou 001 (AKBC, 2021)

Multi-hop Attention Graph Neural Networks. - Guangtao Wang; Rex Ying; Jing Huang 019; Jure Leskovec (IJCAI, 2021)

Inductive Learning on Commonsense Knowledge Graph Completion. - Bin Wang 040; Guangtao Wang; Jing Huang 019; Jiaxuan You; Jure Leskovec; C.-C. Jay Kuo (IJCNN, 2021)

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. - Xiaochen Hou; Peng Qi 003; Guangtao Wang; Rex Ying; Jing Huang 019; Xiaodong He 001; Bowen Zhou 001 (NAACL-HLT, 2021)

Entity and Evidence Guided Document-Level Relation Extraction. - Kevin Huang 002; Peng Qi 003; Guangtao Wang; Tengyu Ma 001; Jing Huang 019 (RepL4NLP@ACL-IJCNLP, 2021)

Ensemble Learning Based Classification Algorithm Recommendation. - Guangtao Wang; Qinbao Song; Xiaoyan Zhu (CoRR, 2021)

Ensemble of ML-KNN for classification algorithm recommendation. - Xiaoyan Zhu 003; Chenzhen Ying; Jiayin Wang; Jiaxuan Li 001; Xin Lai 003; Guangtao Wang (Knowl. Based Syst., 2021)

Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. - Chao Shang; Guangtao Wang; Peng Qi 003; Jing Huang 019 (ACL (1), 2022)

SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences. - Peng Qi 003; Guangtao Wang; Jing Huang 019 (CoRR, 2022)

A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream. - Guangtao Wang; Gao Cong; Ying Zhang 001; Zhen Hai; Jieping Ye (ACM Trans. Knowl. Discov. Data, 2022)

EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection. - Guangtao Wang; Jun Li 033; Jie Xie; Jianhua Xu; Bo Yang 019 (ACPR (2), 2023)

Imbalanced Node Classification Beyond Homophilic Assumption. - Jie Liu; Mengting He; Guangtao Wang; Nguyen Quoc Viet Hung; Xuequn Shang 001; Hongzhi Yin (CoRR, 2023)

Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding. - Jie Liu; Lingyun Song; Guangtao Wang; Xuequn Shang 001 (Neural Networks, 2023)

Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition. - Qinghua Zheng; Yuefei Wu; Guangtao Wang; Yanping Chen 010; Wei Wu; Zai Zhang 002; Bin Shi; Bo Dong 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Dynamic ensemble learning for multi-label classification. - Xiaoyan Zhu 003; Jiaxuan Li 001; Jingtao Ren; Jiayin Wang; Guangtao Wang (Inf. Sci., 2023)

EfficientFace: an efficient deep network with feature enhancement for accurate face detection. - Guangtao Wang; Jun Li 033; Zhijian Wu; Jianhua Xu; Jifeng Shen; Wankou Yang (Multim. Syst., 2023)

Graph-enhanced and collaborative attention networks for session-based recommendation. - Xiaoyan Zhu 003; Yu Zhang 203; Jiayin Wang; Guangtao Wang (Knowl. Based Syst., 2024)

LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference. - Guangtao Wang; Shubhangi Upasani; Chen Wu; Darshan Gandhi; Jonathan Li 009; Changran Hu; Bo Li; Urmish Thakker (CoRR, 2025)