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Wentao Yang - IEEE Xplore Author Profile
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Wentao Yang

Publications
4
Citations
20
Publications by Year
20222025
Co-Authors:
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Wentao Yang

Affiliation

College of Electrical Engineering
Guangxi University
Nanning, People's Republic of China

Publication Topics

Biography

Wentao Yang received the B.E. degree in Internet of Things from the Qingdao University of Science and Technology, Qingdao, China, in 2022. He is currently working toward the master's degree in electronic and communication engineering from the Ocean University of China, Qingdao.,His research interests include deep learning, underwater vision, and object detection.(Based on document published on 14 October 2024).
Publications
4
Citations
20
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (83)
Author's Published Works

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Transformer-based offshore electric-hydrogen hybrid landing

Wentao Yang;Wenhao Xia;Min Cheng;Taoyi Zhu

4th Energy Conversion and Economics Annual Forum (ECE Forum 2024)
Year: 2025 | Conference Paper |
In recent years, offshore wind power has developed on a large scale. In order to reduce the dependence of long-distance power transmission on submarine cable laying, it has become a trend to promote local consumption of wind power through offshore P2H (Power to Hydrogen). However, differences in the transportation methods of offshore electricity and hydrogen resources will lead to significant dela...Show More

Transformer-based offshore electric-hydrogen hybrid landing

Wentao Yang;Wenhao Xia;Min Cheng;Taoyi Zhu

Year: 2025 | Volume: 2024 | Conference Paper |

Self-Supervised Marine Organism Detection From Underwater Images

Jiahua Li;Wentao Yang;Shishi Qiao;Zhaorui Gu;Bing Zheng;Haiyong Zheng

IEEE Journal of Oceanic Engineering
Year: 2025 | Volume: 50, Issue: 1 | Journal Article |
In recent years, in light of the significant progress in deep learning on general object detection, research on marine organism detection has become increasingly popular. However, manual annotation of marine organism images usually requires specialized expertise, resulting in a scarcity of labeled data for research purposes. In addition, the complex and dynamic marine environment leads to varying ...Show More

Self-Supervised Marine Organism Detection From Underwater Images

Jiahua Li;Wentao Yang;Shishi Qiao;Zhaorui Gu;Bing Zheng;Haiyong Zheng

Year: 2025 | Volume: 50, Issue: 1 | Journal Article |

Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images

Zhengyang Xu;XiangLong Du;Yuxin Kang;Hong Lv;Ming Li;Wentao Yang;Lei Cui;Hansheng Li;Yaqiong Xing;Jun Feng;Lin Yang

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Tumor cell detection plays a vital role in immunohistochemistry (IHC) quantitative analysis. While recent remarkable developments in fully-supervised deep learning have greatly contributed to the efficiency of this task, the necessity for manually annotating all cells of specific detection types remains impractical. Obviously, if we directly use full supervision to train these datasets, it can cau...Show More

Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images

Zhengyang Xu;XiangLong Du;Yuxin Kang;Hong Lv;Ming Li;Wentao Yang;Lei Cui;Hansheng Li;Yaqiong Xing;Jun Feng;Lin Yang

Year: 2023 | Conference Paper |

NTIRE 2022 Burst Super-Resolution Challenge

Goutam Bhat;Martin Danelljan;Radu Timofte;Yizhen Cao;Yuntian Cao;Meiya Chen;Xihao Chen;Shen Cheng;Akshay Dudhane;Haoqiang Fan;Ruipeng Gang;Jian Gao;Yan Gu;Jie Huang;Liufeng Huang;Youngsu Jo;Sukju Kang;Salman Khan;Fahad Shahbaz Khan;Yuki Kondo;Chenghua Li;Fangya Li;Jinjing Li;Youwei Li;Zechao Li;Chenming Liu;Shuaicheng Liu;Zikun Liu;Zhuoming Liu;Ziwei Luo;Zhengxiong Luo;Nancy Mehta;Subrahmanyam Murala;Yoonchan Nam;Chihiro Nakatani;Pavel Ostyakov;Jinshan Pan;Ge Song;Jian Sun;Long Sun;Jinhui Tang;Norimichi Ukita;Zhihong Wen;Qi Wu;Xiaohe Wu;Zeyu Xiao;Zhiwei Xiong;Rongjian Xu;Ruikang Xu;Youliang Yan;Jialin Yang;Wentao Yang;Zhongbao Yang;Fuma Yasue;Mingde Yao;Lei Yu;Cong Zhang;Syed Waqas Zamir;Jianxing Zhang;Shuohao Zhang;Zhilu Zhang;Qian Zheng;Gaofeng Zhou;Magauiya Zhussip;Xueyi Zou;Wangmeng Zuo

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (19)
Burst super-resolution has received increased attention in recent years due to its applications in mobile photography. By merging information from multiple shifted images of a scene, burst super-resolution aims to recover details which otherwise cannot be obtained using a simple input image. This paper reviews the NTIRE 2022 challenge on burst super-resolution. In the challenge, the participants w...Show More

NTIRE 2022 Burst Super-Resolution Challenge

Goutam Bhat;Martin Danelljan;Radu Timofte;Yizhen Cao;Yuntian Cao;Meiya Chen;Xihao Chen;Shen Cheng;Akshay Dudhane;Haoqiang Fan;Ruipeng Gang;Jian Gao;Yan Gu;Jie Huang;Liufeng Huang;Youngsu Jo;Sukju Kang;Salman Khan;Fahad Shahbaz Khan;Yuki Kondo;Chenghua Li;Fangya Li;Jinjing Li;Youwei Li;Zechao Li;Chenming Liu;Shuaicheng Liu;Zikun Liu;Zhuoming Liu;Ziwei Luo;Zhengxiong Luo;Nancy Mehta;Subrahmanyam Murala;Yoonchan Nam;Chihiro Nakatani;Pavel Ostyakov;Jinshan Pan;Ge Song;Jian Sun;Long Sun;Jinhui Tang;Norimichi Ukita;Zhihong Wen;Qi Wu;Xiaohe Wu;Zeyu Xiao;Zhiwei Xiong;Rongjian Xu;Ruikang Xu;Youliang Yan;Jialin Yang;Wentao Yang;Zhongbao Yang;Fuma Yasue;Mingde Yao;Lei Yu;Cong Zhang;Syed Waqas Zamir;Jianxing Zhang;Shuohao Zhang;Zhilu Zhang;Qian Zheng;Gaofeng Zhou;Magauiya Zhussip;Xueyi Zou;Wangmeng Zuo

Year: 2022 | Conference Paper |

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