Mr. Wenqiang Hua | Image Processing | Best Researcher Award

Mr. Wenqiang Hua | Image Processing | Best Researcher Awardย 

Mr. Wenqiang Hua, Xi’an University of Posts and Telecommunications, China

Wenqiang Hua is a lecturer at the School of Computer Science, Xi’an University of Posts and Telecommunications, China, and a researcher at the Key Laboratory of Big Data and Intelligent Computing. He holds a Ph.D. in Electronic Circuit and System Artificial Intelligence from Xidian University. His research focuses on deep learning, image classification, and remote sensing image classification, particularly in PolSAR image analysis. Dr. Hua has authored numerous publications in top-tier journals, including IEEE Geoscience and Remote Sensing Letters and Knowledge-Based Systems. He has led multiple research projects, including a Youth Project funded by the Natural Science Foundation of China. Known for his extroverted and enthusiastic character, he actively engages in academic collaborations and seeks opportunities for Ph.D. co-supervisio

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Summary of Suitability for Best Researcher Award โ€“ Wenqiang Hua

Wenqiang Hua is a highly qualified candidate for the Best Researcher Award, given his extensive contributions to deep learning, image classification, and remote sensing image analysis, particularly in Polarimetric Synthetic Aperture Radar (PolSAR) classification. His research is at the cutting edge of artificial intelligence and geospatial data processing, with a strong record of high-impact publications, funded research projects, and academic mentorship.

Dr. Wenqiang Hua ๐ŸŽ“๐Ÿ‘จโ€๐Ÿซ

Education & Work Experience ๐Ÿ“š๐Ÿ’ผ

  • Ph.D. in Electronic Circuit and System (Artificial Intelligence) (2013.09 – 2018.06)
    Xidian University, Xiโ€™an, Shaanxi, China ๐ŸŽ“

  • Lecturer (2018.06 – Present)
    School of Computer Science, Xi’an University of Posts and Telecommunications, China ๐Ÿซ

Achievements & Contributions ๐Ÿ†๐Ÿ”ฌ

  • Research Expertise: Deep Learning, Image Classification, Remote Sensing Image Classification ๐Ÿค–๐Ÿ“ก

  • Key Research Topics: PolSAR Image Classification, Semi-supervised Learning, Contrastive Learning, Feature Fusion, and Adversarial Networks ๐Ÿ”๐ŸŒ

  • Publications: ๐Ÿ“„โœ๏ธ

    • Published 12+ high-impact journal papers in top journals such as IEEE Geoscience and Remote Sensing Letters, Remote Sensing, and Knowledge-Based Systems ๐Ÿ…

    • Developed novel Semi-Supervised Hybrid Contrastive Learning & Deep Feature Fusion Networks for PolSAR image classification ๐Ÿ“Š

Awards & Honors ๐Ÿ…๐ŸŽ–๏ธ

  • Principal Investigator for two major funded projects:

    • National Natural Science Foundation of China (NSFC) Youth Project (2020-2022) ๐Ÿ†

    • Special Scientific Research Project of Shaanxi Education Department (2019-2020) ๐ŸŽ“

  • Recognized for significant contributions to remote sensing image classification and deep learning applications in PolSAR terrain analysis ๐ŸŒŸ

Dr. Wenqiang Hua continues to advance big data and intelligent computing through his research at Xi’an University of Posts and Telecommunications, making impactful contributions to AI-driven remote sensing applications ๐Ÿš€๐Ÿ“ก

Publicationย Top Notes:

Semi-supervised hybrid contrastive learning for PolSAR image classification

Multichannel semi-supervised active learning for PolSAR image classification

PolSAR Image Classification Based on Multi-Modal Contrastive Fully Convolutional Network

PolSAR Image Classification Based on Relation Network with SWANet

Attention-Based Multiscale Sequential Network for PolSAR Image Classification

Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm

Dr. Yu Cao | Image Brightening | Best Researcher Award

Dr. Yu Cao | Image Brightening | Best Researcher Awardย 

Dr. Yu Cao, Xiโ€™an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, China

Dr. Yu Cao is an Associate Researcher and Graduate Supervisor at the Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (CAS), in Xiโ€™an, China. He earned his Ph.D. in Information and Communication Engineering from Xiโ€™an Jiaotong University in December 2023. His research focuses on space precision tracking, aiming, and measurement, with applications in aerospace and national defense. Over the past five years, Dr. Cao has led and completed over ten major projects, including the optoelectronic imaging payload turret subsystem for the XA spacecraft, securing approximately 120 million RMB in funding. His work has contributed to breakthroughs in high-stability tracking and high-precision aiming technologies, significantly enhancing Chinaโ€™s capabilities in space payload tracking under dynamic conditions. Dr. Cao has published 14 high-quality papers as the first or corresponding author, holds 11 authorized invention patents, and has authored a monograph. Recognized for his contributions, he was appointed as an Associate Researcher through the Outstanding Young and Middle-Aged Talents Program in 2022 and became a member of the Youth Innovation Promotion Association of CAS in 2024. Additionally, he serves as a graduate supervisor at the University of Chinese Academy of Sciences and an external graduate supervisor at Northwestern Polytechnical University and Xiโ€™an Jiaotong University.

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Suitability for Best Researcher Awardย 

Dr. Yu Cao is a distinguished Associate Researcher at the Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (CAS), specializing in space precision tracking, aiming, and measurement. His exceptional contributions to aerospace and national defense make him a strong candidate for the Best Researcher Award.

๐ŸŽ“ Education

  • Ph.D. in Information and Communication Engineering (Dec. 2023) โ€“ Xiโ€™an Jiaotong University, China

๐Ÿ’ผ Work Experience

  • Associate Researcher (Graduate Supervisor) โ€“ Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (CAS), Xiโ€™an, China

๐Ÿ† Achievements & Contributions

  • Led & completed 10+ major projects ๐Ÿ”ฌ, including the XA spacecraft optoelectronic imaging payload turret subsystem, a key national scientific and technological task
  • Secured ~120 million RMB in research funding ๐Ÿ’ฐ
  • Solved critical challenges in space precision tracking, aiming, and measurement ๐Ÿš€
  • Published 14 high-quality papers as the first or corresponding author ๐Ÿ“„
  • Secured 11 authorized invention patents ๐Ÿ”–
  • Authored 1 monograph ๐Ÿ“–

๐ŸŽ– Awards & Honors

  • Associate Researcher Appointment (2022) โ€“ Outstanding Young and Middle-Aged Talents Program ๐Ÿ…
  • Selected Member (2024) โ€“ Youth Innovation Promotion Association, Chinese Academy of Sciences ๐ŸŒŸ
  • Graduate Supervisor โ€“ University of Chinese Academy of Sciences ๐ŸŽ“
  • External Graduate Supervisor โ€“ Northwestern Polytechnical University & Xiโ€™an Jiaotong University ๐ŸŽ“
  • Committee Member โ€“ Image Analysis Branch, Chinese Society of Stereology ๐Ÿ›
  • Science & Technology Expert โ€“ Shaanxi Province ๐Ÿ”ฌ
  • Reviewer โ€“ Journals such as Infrared and Laser Engineering ๐Ÿ“‘

Publicationย Top Notes:

Multi-Scale Long- and Short-Range Structure Aggregation Learning for Low-Illumination Remote Sensing Imagery Enhancement

Phase change thermal control system for space high-power laser diode pumping source array