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Author details

Junguo Gao

Also published under: J. G. Gao

Publications

15

Citations

43

Publications by Year

20092022

Co-Authors:

Ruru ChengXiaohong ChiJie DengHongjie DiJinyang Du

Show All Co-Authors (50)

Junguo Gao

Also published under: J. G. Gao

Affiliation

School of Electric and Electronic Engineering

Harbin University of Science and Technology

Harbin, People's Republic of China

Publication Topics

Addition Of Particles,
Breakdown Strength,
Composite Materials,
Field Strength,
Increase In Temperature,
Molecular Chains,
Polymer Insulation,
Agglomeration Of Nanoparticles,
Arbitrary Precision,
Aromatic Hydrocarbons,
Average Distribution,
Average Energy

Biography

Junguo Gao received the M.S. and Ph.D. degrees in electrical engineering from the Harbin University of Science and Technology, Harbin, China, in 2009 and 2013, respectively. He is currently working as a Professor at the Key Laboratory of Engineering Dielectrics and Its Application, Ministry of Education, Harbin University of Science and Technology. His research interests include high voltage and insulation technology.(Based on document published on 5 May 2022).

Publications

15

Citations

43

Publications by Year

20092022

Co-Authors:

Ruru Cheng
Xiaohong Chi
Jie Deng
Hongjie Di
Jinyang Du

Show All Co-Authors (50)

Author's Published Works

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Showing 1-2 of 2 results

Conferences (2)

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Junbo Qiao(2)
Weilin Jia(1)
Yun Zhang(1)
Zhao Zhang(1)
Yi-Shiuan Chou(1)
Communication Research Center, Harbin Institute of Technology, Harbin, China(1)
ETH Zürich, Switzerland(1)
University of Würzburg, Germany(1)
University of Pisa & University of Trento, Italy(1)
2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)(1)
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
IEEE(2)
Beijing, China(1)
Seattle, WA, USA(1)
Convolutional Layers(2)
Adam Optimizer(1)
Additive Noise(1)
Artificial Neural Network(1)
Automatic Recognition(1)

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Results

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren;Yawei Li;Nancy Mehta;Radu Timofte;Hongyuan Yu;Cheng Wan;Yuxin Hong;Bingnan Han;Zhuoyuan Wu;Yajun Zou;Yuqing Liu;Jizhe Li;Keji He;Chao Fan;Heng Zhang;Xiaolin Zhang;Xuanwu Yin;Kunlong Zuo;Bohao Liao;Peizhe Xia;Long Peng;Zhibo Du;Xin Di;Wangkai Li;Yang Wang;Wei Zhai;Renjing Pei;Jiaming Guo;Songcen Xu;Yang Cao;Zhengjun Zha;Yan Wang;Yi Liu;Qing Wang;Gang Zhang;Liou Zhang;Shijie Zhao;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Xin Liu;Min Yan;Qian Wang;Menghan Zhou;Yiqiang Yan;Yixuan Liu;Wensong Chan;Dehua Tang;Dong Zhou;Li Wang;Lu Tian;Barsoum Emad;Bohan Jia;Junbo Qiao;Yunshuai Zhou;Yun Zhang;Wei Li;Shaohui Lin;Shenglong Zhou;Binbin Chen;Jincheng Liao;Suiyi Zhao;Zhao Zhang;Bo Wang;Yan Luo;Yanyan Wei;Feng Li;Mingshen Wang;Yawei Li;Jinhan Guan;Dehua Hu;Jiawei Yu;Qisheng Xu;Tao Sun;Long Lan;Kele Xu;Xin Lin;Jingtong Yue;Lehan Yang;Shiyi Du;Lu Qi;Chao Ren;Zeyu Han;Yuhan Wang;Chaolin Chen;Haobo Li;Mingjun Zheng;Zhongbao Yang;Lianhong Song;Xingzhuo Yan;Minghan Fu;Jingyi Zhang;Baiang Li;Qi Zhu;Xiaogang Xu;Dan Guo;Chunle Guo;Jiadi Chen;Huanhuan Long;Chunjiang Duanmu;Xiaoyan Lei;Jie Liu;Weilin Jia;Weifeng Cao;Wenlong Zhang;Yanyu Mao;Ruilong Guo;Nihao Zhang;Qian Wang;Manoj Pandey;Maksym Chernozhukov;Giang Le;Shuli Cheng;Hongyuan Wang;Ziyan Wei;Qingting Tang;Liejun Wang;Yongming Li;Yanhui Guo;Hao Xu;Akram Khatami-Rizi;Ahmad Mahmoudi-Aznaveh;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2024 | Conference Paper |

Cited by: Papers (23)

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This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this challenge is to super-resolve an input image with a magnification factor of ×4 based on pairs of low and corresponding high-resolution images. The primary objective is to develop networks that optimize various aspects such ...Show More

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren;Yawei Li;Nancy Mehta;Radu Timofte;Hongyuan Yu;Cheng Wan;Yuxin Hong;Bingnan Han;Zhuoyuan Wu;Yajun Zou;Yuqing Liu;Jizhe Li;Keji He;Chao Fan;Heng Zhang;Xiaolin Zhang;Xuanwu Yin;Kunlong Zuo;Bohao Liao;Peizhe Xia;Long Peng;Zhibo Du;Xin Di;Wangkai Li;Yang Wang;Wei Zhai;Renjing Pei;Jiaming Guo;Songcen Xu;Yang Cao;Zhengjun Zha;Yan Wang;Yi Liu;Qing Wang;Gang Zhang;Liou Zhang;Shijie Zhao;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Xin Liu;Min Yan;Qian Wang;Menghan Zhou;Yiqiang Yan;Yixuan Liu;Wensong Chan;Dehua Tang;Dong Zhou;Li Wang;Lu Tian;Barsoum Emad;Bohan Jia;Junbo Qiao;Yunshuai Zhou;Yun Zhang;Wei Li;Shaohui Lin;Shenglong Zhou;Binbin Chen;Jincheng Liao;Suiyi Zhao;Zhao Zhang;Bo Wang;Yan Luo;Yanyan Wei;Feng Li;Mingshen Wang;Yawei Li;Jinhan Guan;Dehua Hu;Jiawei Yu;Qisheng Xu;Tao Sun;Long Lan;Kele Xu;Xin Lin;Jingtong Yue;Lehan Yang;Shiyi Du;Lu Qi;Chao Ren;Zeyu Han;Yuhan Wang;Chaolin Chen;Haobo Li;Mingjun Zheng;Zhongbao Yang;Lianhong Song;Xingzhuo Yan;Minghan Fu;Jingyi Zhang;Baiang Li;Qi Zhu;Xiaogang Xu;Dan Guo;Chunle Guo;Jiadi Chen;Huanhuan Long;Chunjiang Duanmu;Xiaoyan Lei;Jie Liu;Weilin Jia;Weifeng Cao;Wenlong Zhang;Yanyu Mao;Ruilong Guo;Nihao Zhang;Qian Wang;Manoj Pandey;Maksym Chernozhukov;Giang Le;Shuli Cheng;Hongyuan Wang;Ziyan Wei;Qingting Tang;Liejun Wang;Yongming Li;Yanhui Guo;Hao Xu;Akram Khatami-Rizi;Ahmad Mahmoudi-Aznaveh;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2024 | Conference Paper |

Modulated Recognition and Function Realization Based on Deep Learning

Junbo Qiao;Shuai Han;Zeyang Sun

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2023 | Conference Paper |

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With the development of technology, the communication is more busy and complex, and the types of interference increase, which is more important for the correct identification of the signals of the two parties in the communication, so the automatic modulation recognition technology (AMR) has been developed. Traditional automatic modulation recognition techniques are divided into two types: likeliho...Show More

Modulated Recognition and Function Realization Based on Deep Learning

Junbo Qiao;Shuai Han;Zeyang Sun

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2023 | Conference Paper |

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