Yangtao Wang

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BIOGRAPHY

Yangtao Wang was born in June 1993. He is currently a full-time lecturer at the School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China. He received a Ph.D. degree from Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China, in 2021. Prior to his Ph.D. journey, he received a B.S. degree from the Faculty of Mathematics and Statistics, Hubei University, Wuhan, China, in 2015. His current main research interests include computer vision, multi-modal representation and graph neural network. He has published papers in international conferences and journals including SIGMOD, DATE, DAC, ICME, IJCAI, CIKM, ICMR, World Wide Web Journal, Pattern Recognition, IEEE Transactions on Multimedia, etc. He got ADMA 2018 Best Student Paper Runner-up Award and APWeb-WAIM 2019 Best Paper Runner-up Award. He served as a reviewer for international conferences and journals including AAAI, IJCAI, ICME, TKDE, etc.

CAREER PATH

EDUCATION INFO

RESEARCH FUNDINGS

PUBLICATIONS

  1. Linruo Liu, Yangtao Wang* (Corresponding author), Yanzhao Xie, Xin Tan, Lizhuang Ma, Maobin Tang and Meie Fang. Label-aware Aggregation on Heterophilous Graphs for Node Representation Learning[J]. Displays 2024 (JCR Q1). pdf
  2. Yangtao Wang, Yicheng Ye, Yanzhao Xie*, Maobin Tang and Lisheng Fan. HSALC: Hard Sample Aware Label Correction for Medical Image Classification[J]. Multimedia Tools and Applications 2024 (JCR Q2). pdf
  3. Yi Xie, Yangtao Wang* (Corresponding author), Yanzhao Xie, Xin Tan, Jingjing Li, Xiaocui Li*, Weilong Peng, Maobin Tang and Meie Fang. Image-text Retrieval with Main Semantics Consistency[C]. CIKM 2024 (CCF B). pdf
  4. Yan Chen, Guocan Cai, Fufang Li*, Yangtao Wang* (Corresponding author), Xin Tan and Xiaocui Li. Domain Alignment with Large Vision-language Models for Cross-domain Remote Sensing Image Retrieval[C]. CIKM 2024 (CCF B). pdf
  5. Weilong Peng, Yi Luo, Keke Tang, Kongyang Chen, Yangtao Wang, Ping Li and Meie Fang. IE-aware Consistency Losses for Detailed 3D Face Reconstruction from Multiple Images in the Wild[C]. ICME 2024 (CCF B). pdf
  6. Yanzhao Xie, Rukai Wei, Jingkuan Song, Yu Liu*, Yangtao Wang* (Corresponding author) and Ke Zhou. Label-affinity Self-adaptive Central Similarity Hashing for Image Retrieval[J]. IEEE Transactions on Multimedia 2023 (CCF B). pdf
  7. Yanzhao Xie, Yangtao Wang* (Corresponding author), Rukai Wei, Yu Liu, Ke Zhou and Lisheng Fan. A hash centroid construction method with Swin transformer for multi-label image retrieval[J]. Neural Computing and Applications 2023 (JCR Q1). pdf
  8. Yangtao Wang, Yanzhao Xie, Jiangfeng Zeng*, Hanping Wang, Lisheng Fan and Yufan Song. Cross-modal fusion for multi-label image classification with attention mechanism[J]. Computers and Electrical Engineering 2022 (JCR Q2). pdf
  9. Yangtao Wang, Yanzhao Xie*, Lisheng Fan and Guangxing Hu. STMG: Swin transformer for multi-label image recognition with graph convolution network[J]. Neural Computing and Applications 2022 (JCR Q1). pdf
  10. Yanzhao Xie, Yangtao Wang* (Corresponding author), Yu Liu and Ke Zhou. Label Graph Learning for Multi-label Image Recognition with Cross-modal Fusion[J]. Multimedia Tools and Applications 2022 (JCR Q2). pdf
  11. Yangtao Wang, Yanzhao Xie*, Yu Liu and Lisheng Fan. G-CAM: Graph Convolution Network Based Class Activation Mapping for Multi-label Image Recognition[C]. ICMR 2021 (CCF B). pdf
  12. Yangtao Wang, Jingkuan Song, Ke Zhou and Yu Liu*. Unsupervised deep hashing with node representation for image retrieval[J]. Pattern Recognition 2021 (CCF B, JCR Q1). pdf
  13. Yu Liu, Yangtao Wang* (Corresponding author), Lianli Gao, Chan Guo, Yanzhao Xie and Zhili Xiao. Deep Hash-based Relevance-aware Data Quality Assessment for Image Dark Data[J]. ACM/IMS Transactions on Data Science 2020. pdf
  14. Yangtao Wang, Yanzhao Xie, Yu Liu*, Ke Zhou and Xiaocui Li. Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion[C]. CIKM 2020 (CCF B). pdf
  15. Xiaocui Li, Ke Zhou, Chunhua Li*, Xinyu Zhang, Yu Liu and Yangtao Wang. Multi-view clustering via neighbor domain correlation learning[J]. Neural Computing and Applications 2020 (JCR Q1). pdf
  16. Yanzhao Xie, Yu Liu*, Yangtao Wang, Lianli Gao, Peng Wang and Ke Zhou. Label-Attended Hashing for Multi-Label Image Retrieval[C]. IJCAI 2020 (CCF A). pdf
  17. Yu Liu, Yangtao Wang, Jingkuan Song, Chan Guo, Ke Zhou* and Zhili Xiao. Deep Self-taught Graph Embedding Hashing with Pseudo Labels for Image Retrieval[C]. ICME 2020 (CCF B). pdf
  18. Yu Liu, Hong Jiang, Yangtao Wang, Ke Zhou*, Yifei Liu and Li Liu. Content Sifting Storage: Achieving Fast Read for Large-scale Image Dataset Analysis[C]. DAC 2020 (CCF A). pdf
  19. Ji Zhang, Yuanzhang Wang, Yangtao Wang, Ke Zhou*, Schelter Sebastian, Ping Huang, Bin Cheng and Yongguang Ji. Tier-Scrubbing: An Adaptive and Tiered Disk Scrubbing Scheme with Improved MTTD and Reduced Cost[C]. DAC 2020 (CCF A). pdf
  20. Ke Zhou, Yangtao Wang, Yu Liu*, Yujuan Yang, Yifei Liu, Guoliang Li, Lianli Gao and Zhili Xiao. A framework for image dark data assessment[J]. World Wide Web Journal 2020 (CCF B, JCR Q1). pdf
  21. Yu Zhang, Ke Zhou, Ping Huang, Hua Wang*, Jianying Hu, Yangtao Wang, Yongguang Ji and Bin Cheng. A Machine Learning Based Write Policy for SSD Cache in Cloud Block Storage[C]. DATE 2020 (CCF B). pdf
  22. Xiaocui Li, Yangtao Wang, Jingkuan Song, Yu Liu, Xinyu Zhang, Ke Zhou and Chunhua Li*. A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions[J]. World Wide Web Journal 2020 (CCF B, JCR Q1). pdf
  23. Yu Liu, Yangtao Wang, Ke Zhou*, Yujuan Yang and Yifei Liu. Semantic-aware data quality assessment for image big data[J]. Future Generation Computer Systems 2020 (JCR Q1). pdf
  24. Yangtao Wang, Yu Liu, Yifei Liu, Ke Zhou*, Yujuan Yang, Jiangfeng Zeng, Xiaodong Xu and Zhili Xiao. Analysis and Management to Hash-Based Graph and Rank[C]. APWeb-WAIM 2019 (CCF C). pdf
  25. Yu Liu, Yangtao Wang, Ke Zhou*, Yujuan Yang, Yifei Liu, Jingkuan Song and Zhili Xiao. A Framework for Image Dark Data Assessment[C]. APWeb-WAIM 2019 (Best Paper Runner-up) (CCF C). pdf
  26. Jiangfeng Zeng, Ming Yang, Ke Zhou*, Xiao Ma, Yangtao Wang, Xiaodong Xu and Zhili Xiao. Improved Review Sentiment Analysis with A Syntax-aware Encoder[C]. APWeb-WAIM 2019 (CCF C). pdf
  27. Ji Zhang, Yu Liu, Ke Zhou*, Guoliang Li, Zhili Xiao, Bin Chen, Jiashu Xing, Yangtao Wang, Tianheng Chen, Li Liu, Minwei Ran and Zekang Li. An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning[C]. SIGMOD 2019 (CCF A). pdf
  28. Xiaocui Li, Yangtao Wang, Xinyu Zhang, Ke Zhou* and Chunhua Li. A More Secure Spatial Decompositions Algorithm via Indefeasible Laplace Noise in Differential Privacy[C]. ADMA 2018 (Best Student Paper Runner-up). pdf

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