I am 王昊霖 (Haolin Wang), a Ph.D. student of Health Science in Hokkaido University. My research interests include deep learning, medical image analysis, quantitative assessment of rheumatoid arthritis, and synthetic data for conventional radiography. I has published first-author papers in top-tier conferences AAAI and ACM MM, and serves as a Program Committee member for AAAI.
I am very fortunate to be advised by Prof. Kamishima of Kamishima Lab from Faculty of Health Sciences.
🔥 News
- 2025.09: 🎉🎉 New paper on Dataset and Benchmark is accepted by NeurIPS 2025.
- 2025.06: 🎉🎉 New paper on Xray Synthesis is accepted by ACM MM 2025.
📝 Publications
RAM-W600: A Multi-Task Wrist Dataset and Benchmark for Rheumatoid Arthritis
Songxiao Yang, Haolin Wang, Yao Fu, Ye Tian, Tamotsu Kamishima, Masayuki Ikebe, Yafei Ou, Masatoshi Okutomi
Layer Separation: Towards Adjustable Joint Space Width Images Synthesis
Haolin Wang, Yafei Ou, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima
BLS-Gan: A deep layer separation framework for eliminating bone overlap in conventional radiographs
Haolin Wang, Yafei Ou, Prasoon Ambalathankandy, Gen Ota, Pengyu Dai, Masayuki Ikebe, Kenji Suzuki, Tamotsu Kamishima
Haolin Wang, Yafei Ou, Wanxuan Fang, Prasoon Ambalathankandy, Naoto Goto, Gen Ota, Taichi Okino, Jun Fukae, Kenneth Sutherland, Masayuki Ikebe, Tamotsu Kamishima
📖 Educations
- 2025/04/01 - 2028/03/31, Ph.D. Health Science, Hokkaido University, Japan
- 2023/04/01 - 2025/03/31, M.D. Health Science, Hokkaido University, Japan
- 2018/09/01 - 2022/06/30, B.S. Software Engineering, Northwest University, China
💻 Internships
- 2021.07 - 2021.08, Internship of Risk Management, PwC Beijing Office