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 deep learning, image recognition, graph neural network and multimedia content analysis. He has published papers in international conferences and journals including ADMA, SIGMOD, APWeb-WAIM, DATE, DAC, ICME, IJCAI, CIKM, ICMR, Future Generation Computer Systems, World Wide Web Journal, Neural Computing and Applications, ACM/IMS Transactions on Data Science, Pattern Recognition, Multimedia Tools and Applications, 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 IEEE Access, APWeb-WAIM 2020 and AAAI 2021.

CAREER PATH

EDUCATION INFO

PUBLICATIONS

  1. 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 (CCF B). pdf
  2. 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 (JCR Q1). pdf
  3. 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 (JCR Q2). pdf
  4. 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 (JCR Q1). pdf
  5. 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 (JCR Q2). pdf
  6. 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
  7. Yangtao Wang, Jingkuan Song, Ke Zhou and Yu Liu*. Unsupervised deep hashing with node representation for image retrieval[J]. Pattern Recognition (CCF B, JCR Q1). pdf
  8. 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. pdf
  9. 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
  10. 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 (JCR Q1). pdf
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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 (CCF B, JCR Q1). pdf
  16. 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
  17. 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 (CCF B, JCR Q1). pdf
  18. 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 (JCR Q1). pdf
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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

PATENTS

  1. 谭伟强，范立生，汪洋涛. 一种用于电子通信的可折叠收纳型信号放大装置. 中国国家发明专利.
  2. 汪洋涛，范立生，夏隽娟，彭伟龙，谭伟强. 一种多标签图像分类方法、装置、设备及存储介质. 中国国家发明专利. 申请号：CN202111002998.5，申请日期：2021-08-30.
  3. 夏隽娟，范立生，赵子超，汪洋涛，刘外喜. 一种联邦学习带宽分配方法、系统、计算机设备及介质. 中国国家发明专利. 申请号：CN202110842426.1，申请日期：2021-07-23.
  4. 范立生，夏隽娟，何科，汪洋涛，刘外喜. 一种深度学习辅助的快速MIMO信号搜索方法. 中国国家发明专利.
  5. 汪洋涛，范立生，彭伟龙，谭伟强. 一种基于类激活映射机制的多标签图像分类方法和系统. 中国国家发明专利. 申请号：CN202110625124.9，申请日期：2021-06-04.
  6. 刘渝，汪洋涛，谢延昭，周可，夏天，冯树耀. 一种多标签图像的哈希码生成方法和系统. 中国国家发明专利. 申请号：CN202011226768.2，申请日期：2020-11-05.
  7. 汪洋涛，刘渝，李春花，牛中盈，王冲，周可. 一种基于节点表征的无监督深度哈希模型训练方法及图像检索方法. 中国国家发明专利. 申请号：CN202011100519.2，申请日期：2020-10-15
  8. 刘渝，汪洋涛，谢延昭，李春花，王冲，牛中盈，周可. 一种基于跨模态的快速多标签图像分类方法和系统. 中国国家发明专利. 申请号：CN202011100518.8，申请日期：2020-10-15.
  9. 刘渝，汪洋涛，周可，管飞宇，夏天. 二阶相似感知的图像哈希码提取模型建立方法及其应用. 中国国家发明专利. 申请号：CN202011059408.8，申请日期：2020-09-30.
  10. 周可，刘渝，汪洋涛，管飞宇. 一种内容筛选存储方法及系统. 中国国家发明专利. 申请号：CN202010819959.3，申请日期：2020-08-14.
  11. 周可，刘渝，杨玉娟，王桦，李春花，汪洋涛，刘毅斐. 一种基于相似性哈希的图像暗数据价值评估方法. 中国国家发明专利，申请号：CN201910557932.9，申请日期：2019-06-26.
  12. 周可，刘渝，汪洋涛. 一种图像检索方法和系统. 中国国家发明专利，申请号：CN201810637971.5，申请日期：2018-06-20.
  1. Ke ZHOU, Yu LIU, Yujuan YANG, Hua WANG, Chunhua LI, Yangtao WANG, Yifei LIU. Method for valuation of image dark data based on similarity hashing. US 11138479B2.
  2. 周可，刘毅斐，刘渝，汪洋涛，杨玉娟. 一种基于内容语义元数据的图像查询方法与系统. 中国国家发明专利，授权公布号：CN110413807B，授权公告日：2021-04-20.
  3. 周可，李春花，李晓翠，汪洋涛. 一种差分隐私空间分解方法与系统. 中国国家发明专利，授权公布号：CN109241774B，授权公告日：2020-11-10.
  4. 周可，王桦，唐文君，汪洋涛，李晓翠. 一种基于前位置矢量的差分隐私保护方法. 中国国家发明专利，授权公布号：CN107493268B，授权公告日：2019-05-31.

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