CV
Education
2022.04 ~ 2025.03 | Ph.D. in Engineering
International Master’s/Doctoral Program in Intelligent and Mechanical Interaction Systems (IMIS),
University of Tsukuba, Japan2020.04 ~ 2022.03 | M.Eng. in Engineering
Graduate School of Engineering Science,
Kanazawa University, Japan2014.09 ~ 2018.06 | B.Eng. in Computer Science and Technology
College of Computer Science and Technology,
Inner Mongolia University of Technology, China
Work experience
Postdoctoral Researcher
University of Tsukuba — Japan
Apr 2025 – Present | Hybrid
- Conduct postdoctoral research in artificial intelligence and computer vision.
- Focus on human motion analysis, video understanding, and AI-based modeling.
- Collaborate in interdisciplinary research environments and contribute to academic publications.
Artificial Intelligence Intern
GHELIA Inc. — Japan
Jun 2023 – Apr 2025 | Hybrid
- Worked on computer vision and pattern recognition tasks.
- Developed and experimented with AI models for real-world applications.
- Gained hands-on experience in industry-oriented AI development workflows.
Artificial Intelligence Intern
RICOH Company, Ltd. — Japan
Feb 2024 – Apr 2024 | Hybrid
- Participated in short-term R&D projects focused on computer vision.
- Implemented and evaluated machine learning models for pattern recognition tasks.
- Collaborated with corporate research teams.
Artificial Intelligence Intern
Toshiba Corporation — Japan
Aug 2023 – Oct 2023 | Hybrid
- Worked on AI and computer vision projects using Python and PyTorch.
- Supported model development and experimentation for applied AI tasks.
- Gained experience in large-scale corporate R&D environments.
Web Application Engineer (Intern)
Rakuten Group, Inc. — Japan
Jul 2023 – Aug 2023 | Remote
- Developed and maintained web applications.
- Contributed to backend/frontend software development in a production environment.
- Gained experience with software engineering practices in a large tech company.
Java Software Engineer
Accenture (Shanghai) — China
Jul 2018 – Apr 2019 | On-site
- Worked as a Java software engineer on enterprise-level projects.
- Involved in Java development and IT infrastructure-related systems.
- Gained foundational experience in professional software development.
Professional Skills
- Programming Languages: Python, Java
- Deep Learning Frameworks: PyTorch, PyTorchVideo, PyTorch Lightning, Hugging Face
- Data Science: pandas, scikit-learn
- Tools & Platforms: Docker, Linux, Matplotlib, Seaborn
Language Proficiency
- Chinese (Mandarin) – Native
- English – Fluent (speaking and writing)
- Japanese – Advanced (proficient in daily communication and academic reading/writing)
Hobbies
- Biking
- Swimming & Running
- Gaming
- Overwatch 2
- Diablo IV
- Monster Hunter
- Anime
Publications
FilterNet: A Filtered Gait Motion Fusion Network for Classifying Adult Spinal Deformity
K. Chen et al., "FilterNet: A Filtered Gait Motion Fusion Network for Classifying Adult Spinal Deformity," 2026 International Conference on Electronics, Information, and Communication (ICEIC), Macau, China, 2026, pp. 1-6, doi: 10.1109/ICEIC69189.2026.11386438.
Feel What You See: A Novel Sensory Interface Linking Visual Heat Cues and Instant Thermal Feedback
Xu J, Chen K, Kuroda Y, et al. Feel What You See: A Novel Sensory Interface Linking Visual Heat Cues and Instant Thermal Feedback[M]//Proceedings of the SIGGRAPH Asia 2025 Emerging Technologies. 2025: 1-2.
Spinal Disease Classification Using Deep Learning on Dual-View Videos
Tsukumo T, Chen K, Asada T, et al. Spinal Disease Classification Using Deep Learning on Dual-View Videos[C]//Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2025, 2025: 1-5.
PhaseMix: A Periodic Motion Fusion Method for Adult Spinal Deformity Classification
Chen K, Xu J, Asada T, et al. PhaseMix: A Periodic Motion Fusion Method for Adult Spinal Deformity Classification[J]. IEEE Access, 2024.
Two-stage video-based convolutional neural networks for adult spinal deformity classification
Chen K, Asada T, Ienaga N, et al. Two-stage video-based convolutional neural networks for adult spinal deformity classification[J]. Frontiers in Neuroscience, 2023, 17: 1278584.
Enhanced Full Attention Generative Adversarial Networks
Chen K X, Yamane S. Enhanced Full Attention Generative Adversarial Networks[J]. IEICE TRANSACTIONS on Information and Systems, 2023, 106(5): 813-817.