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人员

  • 简要介绍：单洪明，研究员，博士生导师，IEEE Senior Member，国家级青年人才基金获得者。复旦大学博士，曾任伦斯勒理工学院博士后、研究科学家。主要研究方向为机器学习、计算机视觉、医学成像与图像分析等。先后在Nature Machine Intelligence、Nature Communications、IEEE TPAMI、IEEE SPM、IEEE TNNLS、IEEE TIP、IEEE TMI、MedIA、ICCV、CVPR、NeurIPS、IJCAI等国际期刊和会议发表论文100余篇，谷歌学术引用5000余次。论文入选世界人工智能大会青年优秀论文奖、ESI高被引论文、中国社会计算会议最佳论文等。主持国家自然科学基金优青（海外）项目、青年项目，上海市自然科学基金等多项科研项目。
  • 代表成果：

    期刊论文:

    1. H. Shan, A. Padole, F. Homayounieh, U. Kruger, R. D. Khera, C. Nitiwarangkul, M. K. Kalra and G. Wang. Competitive Performance of a Modularized Deep Neural Network Compared to Commercial Algorithms for Low-Dose CT Image Reconstruction. Nature Machine Intelligence, 1(6), 269–276, 2019

    2. Z. Huang, J. Chen, J. Zhang and H. Shan*. Learning Representation for Clustering via Prototype Scattering and Positive Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 7509-7524, 2023

    3. Z. Huang, J. Zhang and H. Shan*. When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6), 7917-7932, 2023

    4. Q. Gao, Z. Li, J. Zhang, Y. Zhang and H. Shan*. CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization. IEEE Transactions on Medical Imaging, 43(2), 745-759, 2024

    5. C. Wang, S. Piao, Z. Huang, Q. Gao, J. Zhang, Y. Li* and H. Shan*. Joint Learning Framework of Cross-modal Synthesis and Diagnosis for Alzheimer's Disease by Mining Underlying Shared Modality Information. Medical Image Analysis, 91(2024), 103032, 2024


    会议论文：

    6. Y. Lei, Z. Li, Y. Li, J. Zhang and H. Shan*. LICO: Explainable Models with Language-Image Consistency. In Proceedings of International Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, Dec. 10-16, 2023

    7. Z. Huang, J. Zhang and H. Shan*. Twin Contrastive Learning with Noisy Labels. In Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, Jun. 18-22, 2023

    8. Y. Wei, S. Zhang, Z. Qing, H. Yuan, Z. Liu, Y. Liu, Y. Zhang, J. Zhou and H. Shan*. DreamVideo: Composing Your Dream Videos with Customized Subject and Motion. In Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA, USA, Jun. 17-21, 2024

    9. Z. Li, C. Ma, J. Chen, J. Zhang and H. Shan*. Learning to Distill Global Representation for Sparse-View CT. In Proceedings of International Conference on Computer Vision (ICCV), Paris, France, Oct. 2-6, 2023

    10. C. Wang, T. Chen, Z. Chen, Z. Huang, T. Jiang, Q. Wang and H. Shan*. FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Jeju Island, South Korea, Aug. 3-9, 2024


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  • 复旦大学类脑智能科学与技术研究院,复旦大学类脑研究院