ZHANG Weiwen (Kevyn)

About Me

Hello! I am ZHANG Weiwen. You can also call me Kevyn. I am pursuing Ph.D. in HKUST in VSDL Lab and SMART Lab, under the supervision of Prof. Kwang-Ting Tim CHENG in and Prof. Hao CHEN. I received my M.S. in Computer Science in Hong Kong University, and BSc in Data Science and Technology from Hong Kong University of Science and Technology in 2022. For research, I am interested in AI for medical image, vision generative models, low-level vision, etc. My research especially focuses on computational pathology and memory-efficient learning. Except for research interests, I also love playing soccer, guitar, and video games.

News

• [Nov. 2024] One paper accepted by IEEE Journal of Biomedical and Health Informatics (J-BHI).

Publication

• Frequency-Aware Inverse-Consistent Deep Learning for OCT-Angiogram Super-Resolution
  • MICCAI 2022
  • Weiwen Zhang, Dawei Yang, Carol Y. Cheung & Hao Chen
  • [ code ] [ paper ]
• Texture-transformer-based deep-learning (DL) network for enhancing image-quality of OCT-angiography images with lower-resolution
  • IOVS 2022
  • Carol Y. Cheung, Hao Chen, Yuyan RUAN, Weiwen Zhang, Dawei Gabriel YANG
  • [ paper ]

Preprint

• MedIAnomaly: A comparative study of anomaly detection in medical images
  • Under Review
  • Cai, Yu, Weiwen Zhang, Hao Chen, and Kwang-Ting Cheng.
  • [ ArXiv ]
• Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN
  • Under Review
  • Weiwen Zhang, Dawei Yang, Haoxuan Ch, An Ran Ran, Carol Y. Cheung, and Hao Chen
  • [ ArXiv ]

Education

• Hong Kong University of Science and Technology (09.2023 - now)
  • Ph.D. student in Computer Science and Engineering.
  • Computational Pathology.
• The University of Hong Kong (09.2022 - 08.2023)
  • M.S. in Computer Science.
  • Financial Computing, Reinforcement Learning for Trading, etc.
• Hong Kong University of Science and Technology (09.2018 - 06.2022)
  • B.S. in Data Science and Technology.
  • First Honor Graduation.
  • UROP Award, second runner up (top 1%)
  • Continuing Undergraduate Students Scholarship.
  • Dean’s Lists in School of Engineering and School of Science.
• Beijing No.161 High School (09.2015 - 06.2018)
  • Gaokao: 675/750 (Top 1%).
  • National 3rd Prize in The Awarding Program for the Future Scientists (2017).
  • Provincial 1st Prize in Beijing Adolescents Science & Technology Innovation Contest (2017).

Projects

• Deep Learning for Opthalmalogy Image Analysis
  • Undergraduate Research Opportunities Program (UROP) Award

• Matching CVs with Job Descriptions using Natural Language Processing (09.2021 - 05.2022)

• Domain Adaptation for Synthetic Images in Crowd Counting (09.2020 - 05.2021) [ code ]

Internship

• The State Grid, China Electric Power Research Institute, Artificial Intelligence Application Research Department. Computer Vision Labotary Internship. Oil Leakage Detection Algorithm Development. (07.2022 - 08.2022)

• My Super eCommerce, Co., Ltd. Business Development. (06.2019 - 08.2019)

Review

• IEEE Transactions on Medical Image (TMI)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• IEEE Journal of Biomedical and Health Informatics (J-BHI)

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