Guangtao Wang - RankMe

58 papers A* 6B 1C 2Journal 40Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Family Speculative Prefill: Training-Free Long-Context Compression with Small Draft Models. CoRR Shubhangi Upasani, Ravi Shanker Raju, Bo Li, Mengmeng Ji, John Long, Chen Wu, Urmish Thakker, Guangtao Wang
2025	J	`jnl`	LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference. CoRR Guangtao Wang, Shubhangi Upasani, Chen Wu, Darshan Gandhi, Jonathan Li, Changran Hu, Bo Li, Urmish Thakker
2025	J	`jnl`	SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators. CoRR Jonathan Li, Nasim Farahini, Evgenii Iuliugin, Magnus Vesterlund, Christian Häggström, Guangtao Wang, Shubhangi Upasani, Ayush Sachdeva, Rui Li, Faline Fu, Chen Wu, Ayesha Siddiqua, John Long, Tuowen Zhao, Matheen Musaddiq, Håkan Zeffer, Yun Du, Mingran Wang, Qinghua Li, Bo Li, Urmish Thakker, Raghu Prabhakar
2024	J	`jnl`	Graph-enhanced and collaborative attention networks for session-based recommendation. Knowl. Based Syst. Xiaoyan Zhu, Yu Zhang, Jiayin Wang, Guangtao Wang
2023	J	`jnl`	Dynamic ensemble learning for multi-label classification. Inf. Sci. Xiaoyan Zhu, Jiaxuan Li, Jingtao Ren, Jiayin Wang, Guangtao Wang
2023	J	`jnl`	EfficientFace: An Efficient Deep Network with Feature Enhancement for Accurate Face Detection. CoRR Guangtao Wang, Jun Li, Zhijian Wu, Jianhua Xu, Jifeng Shen, Wankou Yang
2023	J	`jnl`	EfficientFace: an efficient deep network with feature enhancement for accurate face detection. Multim. Syst. Guangtao Wang, Jun Li, Zhijian Wu, Jianhua Xu, Jifeng Shen, Wankou Yang
2023	—	`conf`	EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection. ACPR (2) Guangtao Wang, Jun Li, Jie Xie, Jianhua Xu, Bo Yang
2023	J	`jnl`	EfficientSRFace: An Efficient Network with Super-Resolution Enhancement for Accurate Face Detection. CoRR Guangtao Wang, Jun Li, Jie Xie, Jianhua Xu, Bo Yang
2023	J	`jnl`	Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Qinghua Zheng, Yuefei Wu, Guangtao Wang, Yanping Chen, Wei Wu, Zai Zhang, Bin Shi, Bo Dong
2023	J	`jnl`	Imbalanced Node Classification Beyond Homophilic Assumption. CoRR Jie Liu, Mengting He, Guangtao Wang, Nguyen Quoc Viet Hung, Xuequn Shang, Hongzhi Yin
2023	J	`jnl`	Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding. Neural Networks Jie Liu, Lingyun Song, Guangtao Wang, Xuequn Shang
2022	J	`jnl`	A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream. ACM Trans. Knowl. Discov. Data Guangtao Wang, Gao Cong, Ying Zhang, Zhen Hai, Jieping Ye
2022	—	`conf`	Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. ACL (1) Chao Shang, Guangtao Wang, Peng Qi, Jing Huang
2022	J	`jnl`	Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. CoRR Chao Shang, Guangtao Wang, Peng Qi, Jing Huang
2022	J	`jnl`	SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences. CoRR Peng Qi, Guangtao Wang, Jing Huang
2021	J	`jnl`	Ensemble Learning Based Classification Algorithm Recommendation. CoRR Guangtao Wang, Qinbao Song, Xiaoyan Zhu
2021	J	`jnl`	Ensemble of ML-KNN for classification algorithm recommendation. Knowl. Based Syst. Xiaoyan Zhu, Chenzhen Ying, Jiayin Wang, Jiaxuan Li, Xin Lai, Guangtao Wang
2021	—	`conf`	Entity and Evidence Guided Document-Level Relation Extraction. RepL4NLP@ACL-IJCNLP Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang
2021	—	`conf`	Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. NAACL-HLT Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou
2021	J	`jnl`	Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. CoRR Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou
2021	B	`conf`	Inductive Learning on Commonsense Knowledge Graph Completion. IJCNN Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo
2021	A*	`conf`	Multi-hop Attention Graph Neural Networks. IJCAI Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
2021	—	`conf`	Open Temporal Relation Extraction for Question Answering. AKBC Chao Shang, Peng Qi, Guangtao Wang, Jing Huang, Youzheng Wu, Bowen Zhou
2020	J	`jnl`	Direct Multi-hop Attention based Graph Neural Network. CoRR Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
2020	J	`jnl`	Entity and Evidence Guided Relation Extraction for DocRED. CoRR Kevin Huang, Guangtao Wang, Tengyu Ma, Jing Huang
2020	A*	`conf`	Improving Neural Language Generation with Spectrum Control. ICLR Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu
2020	J	`jnl`	Inductive Learning on Commonsense Knowledge Graph Completion. CoRR Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo
2020	A*	`conf`	Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. ACL Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou
2020	A*	`conf`	Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents. AAAI Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
2019	J	`jnl`	A new unsupervised feature selection algorithm using similarity-based feature clustering. Comput. Intell. Xiaoyan Zhu, Yu Wang, Yingbin Li, Yonghui Tan, Guangtao Wang, Qinbao Song
2019	J	`jnl`	Improving Graph Attention Networks with Large Margin-based Constraints. CoRR Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec
2019	—	`conf`	Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. ACL (1) Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou
2019	J	`jnl`	Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs. CoRR Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, Bowen Zhou
2019	J	`jnl`	Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding. CoRR Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou
2019	J	`jnl`	PLAC: Partitioning Based Lazy Classification. J. Softw. Wei Song, He Jiang, Fan Ma, Qinbao Song, Guangtao Wang
2019	J	`jnl`	Select, Answer and Explain: Interpretable Multi-hop Reading Comprehension over Multiple Documents. CoRR Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou
2019	J	`jnl`	Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification. CoRR Xiaochen Hou, Jing Huang, Guangtao Wang, Kevin Huang, Xiaodong He, Bowen Zhou
2018	J	`jnl`	A new classification algorithm recommendation method based on link prediction. Knowl. Based Syst. Xiaoyan Zhu, Xiaomei Yang, Chenzhen Ying, Guangtao Wang
2018	A*	`conf`	Margin Based PU Learning. AAAI Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin
2017	A*	`conf`	Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning. KDD Tingjin Luo, Weizhong Zhang, Shang Qiu, Yang Yang, Dongyun Yi, Guangtao Wang, Jieping Ye, Jie Wang
2017	J	`jnl`	LinkLPA: A Link-Based Label Propagation Algorithm for Overlapping Community Detection in Networks. Comput. Intell. Heli Sun, Jiao Liu, Jianbin Huang, Guangtao Wang, Xiaolin Jia, Qinbao Song
2017	C	`conf`	Predicting Bugs in Software Code Changes Using Isolation Forest. QRS Yueyang He, Xiaoyan Zhu, Guangtao Wang, Heli Sun, Yong Wang
2017	—	`conf`	Robust Self-Tuning Sparse Subspace Clustering. ICDM Workshops Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye
2017	—	`conf`	Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data. PAKDD (2) Zhuoxuan Jiang, Shanshan Feng, Weizheng Chen, Guangtao Wang, Xiaoming Li
2016	J	`jnl`	A machine learning based software process model recommendation method. J. Syst. Softw. Qinbao Song, Xiaoyan Zhu, Guangtao Wang, Heli Sun, He Jiang, Chenhao Xue, Baowen Xu, Wei Song
2016	J	`jnl`	Automatic Clustering via Outward Statistical Testing on Density Metrics. IEEE Trans. Knowl. Data Eng. Guangtao Wang, Qinbao Song
2016	C	`conf`	Single Classifier Selection for Ensemble Learning. ADMA Guangtao Wang, Xiaomei Yang, Xiaoyan Zhu
2015	J	`jnl`	A dissimilarity-based imbalance data classification algorithm. Appl. Intell. Xueying Zhang, Qinbao Song, Guangtao Wang, Kaiyuan Zhang, Liang He, Xiaolin Jia
2015	J	`jnl`	An improved data characterization method and its application in classification algorithm recommendation. Appl. Intell. Guangtao Wang, Qinbao Song, Xiaoyan Zhu
2014	J	`jnl`	A Feature Subset Selection Algorithm Automatic Recommendation Method. CoRR Guangtao Wang, Qinbao Song, Heli Sun, Xueying Zhang, Baowen Xu, Yuming Zhou
2014	J	`jnl`	A Generic Multilabel Learning-Based Classification Algorithm Recommendation Method. ACM Trans. Knowl. Discov. Data Guangtao Wang, Qinbao Song, Xueying Zhang, Kaiyuan Zhang
2013	J	`jnl`	A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data. IEEE Trans. Knowl. Data Eng. Qinbao Song, Jingjie Ni, Guangtao Wang
2013	J	`jnl`	A Feature Subset Selection Algorithm Automatic Recommendation Method. J. Artif. Intell. Res. Guangtao Wang, Qinbao Song, Heli Sun, Xueying Zhang, Baowen Xu, Yuming Zhou
2013	J	`jnl`	A novel feature subset selection algorithm based on association rule mining. Intell. Data Anal. Guangtao Wang, Qinbao Song
2013	J	`jnl`	Selecting feature subset for high dimensional data via the propositional FOIL rules. Pattern Recognit. Guangtao Wang, Qinbao Song, Baowen Xu, Yuming Zhou
2012	J	`jnl`	Automatic recommendation of classification algorithms based on data set characteristics. Pattern Recognit. Qinbao Song, Guangtao Wang, Chao Wang
2012	—	`conf`	Selecting Feature Subset via Constraint Association Rules. PAKDD (2) Guangtao Wang, Qinbao Song