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I am KaiXu Chen (陳凱旭), a researcher at the Center for Computational Sciences (CCS), University of Tsukuba, Japan. I earned my Ph.D. in Engineering in 2025 at the University of Tsukuba under the supervision of Prof. Yoshihiro Kuroda in the Life Engineering Lab.
Originally from China, I moved to Japan for my graduate studies, completing a Master of Engineering at Kanazawa University and then a Ph.D. at the University of Tsukuba. My research focuses on computer vision and medical image analysis, with an emphasis on deep learning and generative models (such as GANs) for healthcare applications. In particular, I aim to develop intelligent systems that allow machines to interpret visual data and assist in medical diagnostics, with the ultimate goal of improving patient outcomes.
Beyond my core research, I am passionate about scientific outreach and education. I maintain a technical blog where I share insights from my research and development work, with the goal of making complex machine learning and computer vision concepts accessible to a broader audience.
Research Topics
You can find more details about my research and publications on the Research page.
Current Focus
- Video-based clinical motion analysis: phase-aware gait representation learning and diagnostic classification
- Multi-view 3D pose pipeline: robust 3D reconstruction under imperfect camera setups
- Attention-guided multimodal fusion: combining RGB, optical flow, keypoints, and domain priors for better interpretability
🔥 News
- Received 令和8年度A期HPCIシステム利用研究課題募集
- 1 paper accepted by SPIE Medical Imaging 2026 as oral.
- 1 paper accepted by ICEIC 2026 as poster.
- 1 paper accepted by SIGGRAPH Asia 2025 Emerging Technologies.
- Received 令和7年度 サイバーメディスン研究センター 若手研究支援プログラム(第1回)(¥1,000,000).