袁明志

个人简介

袁明志，博士，智能医学图像计算江苏高校重点实验室及智慧医疗研究院核心成员。2020年于哈尔滨工业大学获得工学学士学位（通信工程），2025年于复旦大学获工学博士学位（生物医学工程）。目前主要研究方向为三维计算机视觉、AI4Science（智能药物设计）等。近三年在ICCV、ECCV、CVPR、ICRA、BIB、TCSVT等顶级会议及期刊上发表论文20余篇，其中第一作者（含共同作者）17篇，长期担任领域重要期刊TPAMI、TIP、RAL、自动化学报审稿人。

招生简介

课题组长期支持在校本科生参与科研创新类项目、进行毕业论文（设计）工作（提供idea、计算资源、论文写作指导及润色，报销论文版面费，提供海外交流资助，针对想继续学术深造的本科生，全力推荐到复旦、交大等高校深造，针对想去工业界的同学，提供字节、大疆等公司内推）

面向计算机科学、人工智能等方向招收研究生，欢迎计算机科学、自动化、电子、数学物理、生物医学工程、生命科学、药学等相关专业的同学报考

欢迎邮件咨询：mzyuan@nuist.edu.cn

研究方向（包括但不限于）

三维计算机视觉：点云配准、点云感知、三维重建

AI4Science：蛋白质表示学习、虚拟药物筛选、分子对接、分子表示学习、糖基化

近期学术成果（持续更新）

谷歌学术：https://scholar.google.com.hk/citations?user=oheIjbUAAAAJ&hl=zh-CN

 2025年：

[1] Yuan M, Shen A, Ma Y, et al. ProteinF3S: boosting enzyme function prediction by fusing protein sequence, structure, and surface[J]. Briefings in Bioinformatics, 2025, 26(1): bbae695. (中科院一区，生物信息学顶刊)

[2] Yuan M, Shen A, Ma Y, et al. Boosting 3D Point Cloud Registration by Orthogonal Self-ensemble Learning[J]. IEEE Transactions on Artificial Intelligence, 2025. 

[3] Fu K, Yuan M#, Wang C, et al. Dual Focus-Attention Transformer for Robust Point Cloud Registration[C]//Proceedings of the Computer Vision and Pattern Recognition Conference. 2025: 11769-11778. (计算机视觉三大顶会，共一排二)

[4] Shen A, Yuan M#, Du J, et al. Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning[C]//Forty-second International Conference on Machine Learning. (机器学习三大顶会，共一排二)

[5] Ma Y, Yuan M#, Shen A, et al. SeLa-MIL: Developing an instance-level classifier via weakly-supervised self-training for whole slide image classification[J]. Computer Methods and Programs in Biomedicine, 2025: 108614. (中科院二区，共一排二)

[6] Du J, Yuan M, Shen A, et al. PPDock: Pocket Prediction-Based Protein–Ligand Blind Docking[J]. Journal of Chemical Information and Modeling, 2025. (中科院二区，生物信息学顶刊)

[7] Li S, Yuan M, Dai X, et al. Evaluation of uncertainty estimation methods in medical image segmentation: Exploring the usage of uncertainty in clinical deployment[J]. Computerized Medical Imaging and Graphics, 2025: 102574. (中科院二区)

[8] Ma Y, An B, Shen A, et al. Flow-MIL: Constructing Highly-expressive Latent Feature Space For Whole Slide Image Classification Using Normalizing Flow[C].//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2025. (计算机视觉三大顶会)

2024年：

[1] Yuan M, Fu K, Li Z, et al. Robust point cloud registration via random network co-ensemble[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(7): 5742-5752.  (中科院一区)

[2] Yuan M, Huang Q, Shen A, et al. Exploring Self-Supervised Learning for 3D Point Cloud Registration[J]. IEEE Robotics and Automation Letters, 2024.  (中科院二区)

[3] Yuan M, Fu K, Li Z, et al. Decoupled deep hough voting for point cloud registration[J]. Frontiers of Computer Science, 2024, 18(2): 182703.  (中科院二区，国产卓越期刊)

[4] Shen A, Yuan M#, Ma Y, et al. Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction[J]. Briefings in Bioinformatics, 2024, 25(4): bbae256.  (中科院一区，生物信息学顶刊，共一排二)

[5] Shen A, Yuan M#, Ma Y, et al. PGBind: pocket-guided explicit attention learning for protein–ligand docking[J]. Briefings in Bioinformatics, 2024, 25(5): bbae455.  (中科院一区，生物信息学顶刊，共一排二)

[6] Shen A, Yuan M#, Ma Y, et al. Ss-pro: A simplified siamese contrastive learning approach for protein surface representation[J]. Frontiers of Computer Science, 2024, 18(5): 185910.  (中科院二区，国产卓越期刊，共一排二)

2023年：

[1] Yuan M, Fu K, Li Z, et al. PointMBF: A multi-scale bidirectional fusion network for unsupervised RGB-D point cloud registration[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023: 17694-17705. (计算机视觉三大顶会)

[2] Yuan M, Huang X, Fu K, et al. Boosting 3D point cloud registration by transferring multi-modality knowledge[C]//2023 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2023: 11734-11741. (机器人领域顶会)

[3] Yuan M, Shen A, Fu K, et al. ProteinMAE: masked autoencoder for protein surface self-supervised learning[J]. Bioinformatics, 2023, 39(12): btad724. (中科院二区，生物信息学顶刊)

[4] Fu K, Yuan M#, Liu S, et al. Boosting point-bert by multi-choice tokens[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 34(1): 438-447. (中科院一区，共一排二)

[5] Jin Q, Li S, Du X, et al. Density-based one-shot active learning for image segmentation[J]. Engineering Applications of Artificial Intelligence, 2023, 126: 106805. (中科院一区)

2022年：

[1] Yuan M, Li Z, Jin Q, et al. Pointclm: A contrastive learning-based framework for multi-instance point cloud registration[C]//European Conference on Computer Vision. Cham: Springer Nature Switzerland, 2022: 595-611. (计算机视觉三大顶会)

[2] Luo J, Yuan M#, Fu K, et al. Deep graph matching based dense correspondence learning between non-rigid point clouds[J]. IEEE Robotics and Automation Letters, 2022, 7(3): 5842-5849. (中科院二区，共一排二)

[3] Jin Q, Yuan M, Wang H, et al. Deep active learning models for imbalanced image classification[J]. Knowledge-Based Systems, 2022, 257: 109817. (中科院一区)

[4] Jin Q, Yuan M, Qiao Q, et al. One-shot active learning for image segmentation via contrastive learning and diversity-based sampling[J]. Knowledge-Based Systems, 2022, 241: 108278.  (中科院一区)

[5] Jin Q, Yuan M, Li S, et al. Cold-start active learning for image classification[J]. Information sciences, 2022, 616: 16-36.  (中科院一区)

曾获荣誉

上海市优秀毕业生

复旦大学国家奖学金

复旦大学荣林氏奖学金

哈尔滨工业大学优秀毕业生

教育经历

[1] 复旦大学 工学博士学位

[2] 哈尔滨工业大学 工学学士学位

工作经历

[1]   2025.6- 至今

南京信息工程大学

社会兼职

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研究方向

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