Scholar
He Zhu
Google Scholar ID: U5Fm4pUAAAAJ
Hokkaido University, PhD. Student
Citations & Impact
Citations
34
H-index
4
i10-index
0
Publications
8
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Journal: 'Multimodal natural language explanation generation for visual question answering based on multiple reference information,' Electronics, 2023.
- Journal: 'Diversity learning based on multi-latent space for medical image visual question generation,' Sensors, 2023.
- International Conference: 'Prompt-based personalized federated learning for medical visual question answering,' ICASSP, 2024.
- International Conference: 'Interpretable visual question answering referring to outside knowledge,' ICIP, 2023.
- International Conference: 'A medical domain visual question generation model via large language model,' ICCE-TW, 2023.
- International Conference: 'A multimodal interpretable visual question answering model introducing image caption processor,' GCCE, 2022.
- Domestic Conference: 'Efficient Fine-Tuning and Uncertainty-Aware Personalized Federated Learning for Medical Vision-Language Models,' MIRU, 2025 (Oral).
- Domestic Conference: 'Reliable and personalized federated learning with prompt-based method for visual question answering in medical domain,' MIRU, 2024 (Oral).
- Domestic Conference: 'A multimodal interpretable visual question answering model introducing image caption processor,' Technical Report of the Institute of Image Information and Television Engineers, 2023.
- JSPS Research Fellowship for Young Scientists (DC2) (2025/04 ~ 2027/03)
- Hokkaido University Next Generation AI Doctoral Fellowship (2024/10 ~ 2025/03)
- Hokkaido University EXEX Doctoral Fellowship (2024/04 ~ 2024/09)
- Nitori International Scholarship Foundation Hokkaido Future IT Talent Scholarship (2023/04 ~ 2024/03)
- MIRU Student Encouragement Award (2025/08)
- MIRU Student Encouragement Award (2024/08)
- Technical Report of the Institute of Image Information and Television Engineers Excellent Research Presentation Award (2023/12)
Research Experience
- Currently pursuing the Ph.D. degree with the Graduate School of Information Science and Technology at Hokkaido University, focusing on state-of-the-art AI-based techniques for medical images.
Background
- Research interests include Visual Question Answering, Medical Image Analysis, and Personalized Federated Learning. He works on state-of-the-art AI-based techniques for medical images.
Miscellany
- Student member of IEEE
Co-authors