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Rui Shi

M.S. Student
Shanghai Jiao Tong University
shi-rui (at) sjtu.edu.cn


About Me

Rui Shi is an AI Engineer at Huawei CBG, where he focuses on cutting-edge research in multimodal visual generation and post-training techniques. He received his B.S. degree in 2022 and his M.S. degree in 2025, both from Shanghai Jiao Tong University (SJTU), under the fortunate supervision of Prof. Bingbing Ni and Prof. Xiangzhong Fang. Prior to joining Huawei, he gained valuable industry experience through research internships at Tencent AI Lab and Taobao and Tmall Group (Alibaba).

Outside of his research and engineering work, Rui is an avid traveler and an enthusiastic photographer, always keen on capturing the beauty of the world through his lens.

Research Interests

Publications

  1. AAAI
    Neural Block Compression: Variable Bitrates Feature Blocks for Texture Representation
    Rui Shi, Yishun Dou, Zhong Zheng, Xiangzhong Fang, Wenjun Zhang, Bingbing Ni
    Proceedings of the AAAI Conference on Artificial Intelligence 39 (7), 6878-6886, 2025.
    PDF

  2. TMI
    Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge
    Jiancheng Yang*, Rui Shi*, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, et al.
    IEEE Transactions on Medical Imaging, 2025.
    PDF

  3. AAAI
    InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction
    Yi Zhang, Xiaoyang Huang, Yishun Dou, Yue Shi, Rui Shi, Ye Chen, Bingbing Ni, Wenjun Zhang
    Proceedings of the AAAI Conference on Artificial Intelligence 39 (10), 10311, 2025.
    PDF

  4. ECCV
    Toward Tiny and High-Quality Facial Makeup with Data Amplify Learning
    Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin, Ying Chen, Rui Shi, Yucheng Zheng, Yupeng Zhu, Bingbing Ni
    European Conference on Computer Vision (ECCV), 340-356, 2024.
    PDF Code

  5. CVPR
    Differentiable Micro-Mesh Construction
    Yishun Dou, Zhong Zheng, Qiaoqiao Jin, Rui Shi, Yuhan Li, Bingbing Ni
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    PDF

  6. Scientific Data
    MedMNIST v2 - A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification
    Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni
    Scientific Data 10 (1), 41, 2023.
    PDF Code Website Dataset

  7. MICCAI
    Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
    Jiancheng Yang*, Rui Shi*, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.
    PDF Code

  8. ISBI
    MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
    Jiancheng Yang, Rui Shi, Bingbing Ni
    IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2020.
    PDF Code Website Dataset

Preprints

  1. arXiv
    CEI-3D: Collaborative Explicit-Implicit 3D Reconstruction for Realistic and Fine-Grained Object Editing
    Yue Shi, Rui Shi, Yuxuan Xiong, Bingbing Ni, Wenjun Zhang
    arXiv preprint arXiv:2603.11810, 2026.
    PDF


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