Hi, I’m Zhicheng He（何智成）
I am a first-year graduate student in the Department of Biomedical Engineering at the National University of Singapore. I completed my undergraduate degree in Computer Science at Beijing Jiaotong University. My research interests include medical image analysis and multi-modal large language models.
I am very fortunate to be advised by Prof. Xiaoqing Lv of Wangxuan Institute of Computer Technology, Peking University. Meanwhile, I am honored to be recommended by Prof. Hongliang Ren of Ren Lab from The Chinese University of Hong Kong. Moreover, I am thrilled to be instructed by Prof. Tengfei Ma of Department of Biomedical Informatics from Stony Brook University, who also agreed to be my recommender.
News
- Ad-hoc Reviewer for Nature Biomedical Engineering (2026).
- 🎉 One paper has been accepted to CVPR 2026.
- 🎉 One paper has been accepted to MIDL 2026.
- I’m happy to join Dr. Yueming Jin’s team in 2025 as a MEng student.
Publications
- MedVAR: Towards Scalable and Efficient Medical Image Generation via Next-scale Autoregressive Prediction
Zhicheng He, Yunpeng Zhao, Junde Wu, Ziwei Niu, Zijun Li, Lanfen Lin, Yueming Jin. (2026). "MedVAR: Towards Scalable and Efficient Medical Image Generation via Next-scale Autoregressive Prediction." arXiv preprint arXiv:2602.14512.
Paper - Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement
Zhicheng He, Yibing Fu, Yueming Jin. (2026). "Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement." Medical Imaging with Deep Learning.
Paper - SSSI: Self-prompted Segmentation of Scientific Illustrations
Tuo Wang, Yixiao Zhou, Tongwei Zhang, Zhicheng He, Yumeng Zhao, Xiaoqing Lyu. (2025). "SSSI: Self-prompted Segmentation of Scientific Illustrations." International Conference on Document Analysis and Recognition, Pages 347-361.
Paper - Multimodal Content Alignment with LLM for Visual Presentation of Papers
Huiying Hu, Zhicheng He, Yixiao Zhou, Tongwei Zhang, Xiaoqing Lyu. (2025). "Multimodal Content Alignment with LLM for Visual Presentation of Papers." International Conference on Document Analysis and Recognition, Pages 238-256.
Paper - Graph Matching Based Graph Self-Supervised Learning for Molecular Property Prediction
Hongxiang Lin, Yixiao Zhou, Huiying Hu, Zhicheng He, Runzhi Wu, Xiaoqing Lyu. (2024). "Graph Matching Based Graph Self-Supervised Learning for Molecular Property Prediction." 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Pages 7092-7094.
Paper - Endouic: Promptable diffusion transformer for unified illumination correction in capsule endoscopy
Long Bai, Tong Chen, Qiaozhi Tan, Wan Jun Nah, Yanheng Li, Zhicheng He, Sishen Yuan, Zhen Chen, Jinlin Wu, Mobarakol Islam, Zhen Li, Hongbin Liu, Hongliang Ren. (2024). "Endouic: Promptable diffusion transformer for unified illumination correction in capsule endoscopy." International Conference on Medical Image Computing and Computer-Assisted Intervention, Pages 296-306.
Paper - Deep Learning-Based Detection of Impacted Teeth on Panoramic Radiographs
He Zhicheng, Wang Yipeng, Li Xiao. (2024). "Deep Learning-Based Detection of Impacted Teeth on Panoramic Radiographs." Biomedical Engineering and Computational Biology, 15, 11795972241288319.
Paper - Transformer-based visual question answering model comparison
Zhicheng He, Yuanzhi Li, Dingming Zhang. (2023). "Transformer-based visual question answering model comparison." Journal of Physics: Conference Series, 2646(1), 012031.
Paper