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2020 – today
- 2024
[j17]Linruo Liu, Yangtao Wang
, Yanzhao Xie, Xin Tan, Lizhuang Ma, Maobin Tang, Meie Fang:
Label-aware aggregation on heterophilous graphs for node representation learning. Displays 84: 102817 (2024)- [c21]Weilong Peng, Yi Luo, Keke Tang, Kongyang Chen, Yangtao Wang, Ping Li, Meie Fang:
IE-aware Consistency Losses for Detailed 3D Face Reconstruction from Multiple Images in the Wild. ICME 2024: 1-6 - 2023
- [j16]Yanzhao Xie, Yangtao Wang, Rukai Wei, Yu Liu, Ke Zhou, Lisheng Fan:
A hash centroid construction method with Swin transformer for multi-label image retrieval. Neural Comput. Appl. 35(15): 10891-10907 (2023) - [j15]Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Shell Xu Hu, James L. Crowley, Dominique Vaufreydaz:
TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15790-15801 (2023) - [j14]Yanzhao Xie, Rukai Wei, Jingkuan Song, Yu Liu, Yangtao Wang, Ke Zhou:
Label-Affinity Self-Adaptive Central Similarity Hashing for Image Retrieval. IEEE Trans. Multim. 25: 9161-9174 (2023) - 2022
- [j13]Yangtao Wang, Yanzhao Xie, Jiangfeng Zeng, Hanpin Wang, Lisheng Fan, Yufan Song:
Cross-modal fusion for multi-label image classification with attention mechanism. Comput. Electr. Eng. 101: 108002 (2022) - [j12]Yanzhao Xie, Yangtao Wang, Yu Liu, Ke Zhou:
Label graph learning for multi-label image recognition with cross-modal fusion. Multim. Tools Appl. 81(18): 25363-25381 (2022) - [j11]Yangtao Wang, Yanzhao Xie, Lisheng Fan, Guangxing Hu:
STMG: Swin transformer for multi-label image recognition with graph convolution network. Neural Comput. Appl. 34(12): 10051-10063 (2022) - [c20]Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz:
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. CVPR 2022: 14523-14533 - [i4]Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz:
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. CoRR abs/2202.11539 (2022) - [i3]Yangtao Wang, Xi Shen, Yuan Yuan, Yuming Du, Maomao Li, Shell Xu Hu, James L. Crowley, Dominique Vaufreydaz:
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut. CoRR abs/2209.00383 (2022) - 2021
- [j10]Xiaocui Li, Ke Zhou, Chunhua Li, Xinyu Zhang, Yu Liu, Yangtao Wang:
Multi-view clustering via neighbor domain correlation learning. Neural Comput. Appl. 33(8): 3403-3415 (2021) - [j9]Yangtao Wang, Jingkuan Song, Ke Zhou, Yu Liu:
Unsupervised deep hashing with node representation for image retrieval. Pattern Recognit. 112: 107785 (2021) - [j8]Yu Liu, Yangtao Wang, Lianli Gao, Chan Guo, Yanzhao Xie, Zhili Xiao:
Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data. Trans. Data Sci. 2(2): 11:1-11:26 (2021) - [c19]Yangtao Wang, Yanzhao Xie, Yu Liu, Lisheng Fan:
G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition. ICMR 2021: 322-330 - 2020
- [j7]Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang, Yifei Liu:
Semantic-aware data quality assessment for image big data. Future Gener. Comput. Syst. 102: 53-65 (2020) - [j6]Xiaocui Li, Yangtao Wang, Jingkuan Song, Yu Liu, Xinyu Zhang, Ke Zhou, Chunhua Li:
A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions. World Wide Web 23(1): 549-572 (2020) - [j5]Ke Zhou, Yangtao Wang, Yu Liu, Yujuan Yang, Yifei Liu, Guoliang Li, Lianli Gao, Zhili Xiao:
A framework for image dark data assessment. World Wide Web 23(3): 2079-2105 (2020) - [c18]Yangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou, Xiaocui Li:
Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion. CIKM 2020: 1575-1584 - [c17]Yu Liu, Hong Jiang, Yangtao Wang, Ke Zhou, Yifei Liu, Li Liu:
Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis. DAC 2020: 1-6 - [c16]Ji Zhang, Yuanzhang Wang, Yangtao Wang, Ke Zhou, Sebastian Schelter, Ping Huang, Bin Cheng, Yongguang Ji:
Tier-Scrubbing: An Adaptive and Tiered Disk Scrubbing Scheme with Improved MTTD and Reduced Cost. DAC 2020: 1-6 - [c15]Yu Zhang, Ke Zhou, Ping Huang, Hua Wang, Jianying Hu, Yangtao Wang, Yongguang Ji, Bin Cheng:
A Machine Learning Based Write Policy for SSD Cache in Cloud Block Storage. DATE 2020: 1279-1282 - [c14]Yu Liu, Yangtao Wang, Jingkuan Song, Chan Guo, Ke Zhou, Zhili Xiao:
Deep Self-Taught Graph Embedding Hashing With Pseudo Labels For Image Retrieval. ICME 2020: 1-6 - [c13]Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou:
Label-Attended Hashing for Multi-Label Image Retrieval. IJCAI 2020: 955-962
2010 – 2019
- 2019
- [c12]Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang, Yifei Liu, Jingkuan Song, Zhili Xiao:
A Framework for Image Dark Data Assessment. APWeb/WAIM (1) 2019: 3-18 - [c11]Jiangfeng Zeng, Ming Yang, Ke Zhou, Xiao Ma, Yangtao Wang, Xiaodong Xu, Zhili Xiao:
Improved Review Sentiment Analysis with a Syntax-Aware Encoder. APWeb/WAIM (2) 2019: 73-87 - [c10]Yangtao Wang, Yu Liu, Yifei Liu, Ke Zhou, Yujuan Yang, Jiangfeng Zeng, Xiaodong Xu, Zhili Xiao:
Analysis and Management to Hash-Based Graph and Rank. APWeb/WAIM (1) 2019: 289-296 - [c9]Ji Zhang, Yu Liu, Ke Zhou, Guoliang Li, Zhili Xiao, Bin Cheng, Jiashu Xing, Yangtao Wang, Tianheng Cheng, Li Liu, Minwei Ran, Zekang Li:
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. SIGMOD Conference 2019: 415-432 - 2018
- [c8]Xiaocui Li, Yangtao Wang, Xinyu Zhang, Ke Zhou, Chunhua Li:
A More Secure Spatial Decompositions Algorithm via Indefeasible Laplace Noise in Differential Privacy. ADMA 2018: 211-223 - 2017
- [j4]Yangtao Wang, Lihui Chen:
Multi-view fuzzy clustering with minimax optimization for effective clustering of data from multiple sources. Expert Syst. Appl. 72: 457-466 (2017) - [j3]Jian-Ping Mei, Yangtao Wang, Lihui Chen, Chunyan Miao:
Large Scale Document Categorization With Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 25(5): 1239-1251 (2017) - [c7]Yangtao Wang, Lihui Chen, Xiaoli Li:
Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization. IJCAI 2017: 2971-2977 - 2016
- [j2]Yangtao Wang, Lihui Chen:
K-MEAP: Multiple Exemplars Affinity Propagation With Specified K Clusters. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2670-2682 (2016) - [c6]Jian-Ping Mei, Yangtao Wang:
Hyperspherical Fuzzy clustering for online document categorization. FUZZ-IEEE 2016: 1487-1493 - [i2]Yangtao Wang, Lihui Chen, Xiaoli Li:
Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data. CoRR abs/1608.07001 (2016) - [i1]Yangtao Wang, Lihui Chen:
Multi-View Fuzzy Clustering with Minimax Optimization for Effective Clustering of Data from Multiple Sources. CoRR abs/1608.07005 (2016) - 2014
- [j1]Yangtao Wang, Lihui Chen, Jian-Ping Mei:
Incremental Fuzzy Clustering With Multiple Medoids for Large Data. IEEE Trans. Fuzzy Syst. 22(6): 1557-1568 (2014) - [c5]Jian-Ping Mei, Yangtao Wang, Lihui Chen, Chunyan Miao:
Incremental fuzzy clustering for document categorization. FUZZ-IEEE 2014: 1518-1525 - [c4]Yangtao Wang, Lihui Chen, Jian-Ping Mei:
Stochastic gradient descent based fuzzy clustering for large data. FUZZ-IEEE 2014: 2511-2518 - [c3]Yangtao Wang, Lihui Chen:
Multi-exemplar based clustering for imbalanced data. ICARCV 2014: 1068-1073 - [c2]Yangtao Wang, Lihui Chen:
K-MEAP: Generating Specified K Clusters with Multiple Exemplars by Efficient Affinity Propagation. ICDM 2014: 1091-1096 - 2013
- [c1]Yangtao Wang, Lihui Chen, Chee Keong Chan:
Empirical study of soft clustering approaches for large data. ICICS 2013: 1-5
Coauthor Index
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last updated on 2024-10-09 20:28 CEST by the dblp team
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