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  向孙程

  向孙程，工学博士，上海交通大学优秀毕业生，于2022年加入上海交通大学生物医学工程学院，目前主要从事计算机视觉、机器学习以及可解释人工智能方面的研究。旨在构建以人为中心的人工智能框架，更好地去推动智慧城市、智慧医疗和智慧金融的建设步伐。近年来在图像检索、人体行为分析、多模态大模型、医学图像处理领域顶级国际期刊和会议上发表论文40余篇，已授权中国发明专利2项，研究成果同时获得蒙民伟国际交流基金的资助。当前主持国家自然科学基金青年科学基金项目1项、校级理科项目1项，先后参与国家自然科学基金面上项目、上海市卫健委、上海市本科重点教改等多项科研项目，兼任中技协医疗器械专委会专家。此外，向孙程博士还担任ELSP、OAJDA、IJAET期刊编委，ICTAI 2019、IEEE ICME 2022、IEEE ICASSP 2024、ACML 2024 Session Chair以及CVPR、ACM MM、AAAI、ACL等多个人工智能国际会议的程序委员会委员，并获得IEEE TMI Distinguished Reviewer奖。

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2017-2022，上海交通大学，电子信息与电气工程学院，博士

2014-2017，国防科技大学，计算机学院，硕士

2010-2014，长沙理工大学，电气与信息工程学院，学士

1. 2024-2026，国家自然科学基金青年科学基金项目，在研，主持；

2. 2022-2025，上海交通大学新进教师启动计划，在研，主持；

3. 2024-2025，上海交通大学人工智能+教育专项基金，在研，主持

4. 2025-2028，国家自然科学基金面上项目，在研，参与；

5. 2023-2026，上海市卫生健康委员会科研项目，在研，参与；

6. 2020-2023，国家自然科学基金面上项目，结题，参与；

[37] Ruan J, Gao J, Xie M, Xiang S*. Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation[J]. Machine Learning, 2024.

[36] Ruan J, Gao J, Xie M, Xiang S, et al. GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction[C]//ACM International Conference on Multimedia (ACM MM), 2024.

[35] Li Z, Xiang S, Yu T, et al. Oceanship: A Large-Scale Dataset for Underwater Audio Target Recognition[C]//International Conference on Intelligent Computing. Singapore: Springer Nature Singapore, 2024: 475-486.

[34] Zhang Z, Cai C, Du S, Xiang S, Qian D. Enhancing Nasopharyngeal Carcinoma Classification Based on Multi-View Cross-Modal Knowledge Distillation[C]//2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024: 1-5.

[33] Han D, Qian D, Yan G, Kuang S, Wen R, Xiang S. Optimization of transcutaneous energy transmission system suitable for implanted devices[C]//Journal of Physics: Conference Series. IOP Publishing, 2024, 2787(1): 012003.

[32] Xiang S, Xu H, Xie M, et al. SubFace: learning with softmax approximation for face recognition[J]. Multimedia Tools and Applications, 2024: 1-17.

[31] Ruan J, Gao J, Xie M, Dong D, Xiang S, Liu T, Fu Y. iDAT: inverse Distillation Adapter-Tuning[C]//2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024: 1-6.

[30] Gao J, Li Z, Xiang S, et al. Toward an end-to-end implicit addressee modeling for dialogue disentanglement[J]. Multimedia Tools and Applications, 2024: 1-24.

[29] Zhou C, Wang J, Xiang S, et al. A Simple Normalization Technique Uing Window Statistics to Improve the Out-Of-Distribution Generalization on Medical Images[J]. IEEE Transactions on Medical Imaging, 2024.

[28] Xiang S, Liu C, Ruan J, et al. VT-ReID: Learning Discriminative Visual-Text Representation for Polyp Re-Identification[C]//ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024: 1-5.

[27] Gao J, Ruan J, Xiang S, et al. LAMM: Label Alignment for Multi-Modal Prompt Learning[C]//Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 2024, 38(3): 1815-1823.

[26] Xiang S, Qian D, Gao J, et al. Rethinking person re-identification via semantic-based pretraining[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2023, 20(3): 1-17.

[25] Xie M, Liu Z, Xiang S, et al. Editing outdoor scenes with a large annotated synthetic dataset[J]. Multimedia Tools and Applications, 2023: 1-18.

[24] Liu H, Gao J, Xiang S, et al. SAE-NTM: Sentence-Aware Encoder for Neural Topic Modeling[C]//Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023). 2023: 106-111.

[23] J. Gao, Z. Li, S. Xiang, T. Liu and Y. Fu. CluCDD: Contrastive Dialogue Disentanglement Via Clustering[C]//2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSPW59220.2023.10193381.

[22] Xiang S, Chen H, Ran W, et al. Deep multimodal representation learning for generalizable person re-identification[J]. Machine Learning, 2023: 1-19.

[21] Chen Q, Cai S, Cai C, Yu Z, Qian D, Xiang S*. Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval[C]//2023 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2023: 1-6.

[20] You D, Xia P, Chen Q, Wu M, Xiang S*, Wang J. AutoKary2022: A Large-Scale Densely Annotated Dateset for Chromosome Instance Segmentation[C]//2023 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2023: 1-6.

[19] Xiang S, Qian D, Guan M, et al. Less is more: Learning from synthetic data with fine-grained attributes for person re-identification[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2023, 19(5s): 1-20.

[18] Li Y, Yu Z, Xiang S, et al. AV-TAD: Audio-Visual Temporal Action Detection With Transformer[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5.

[17] Han C, Xiang S*, Qian D. MTDL-NET: Morphological and Temporal Discriminative Learning for Heartbeat Classification[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5.

[16] Yu Z, Hu Y, Xiang S, et al. CC-PoseNet: Towards Human Pose Estimation in Crowded Classrooms[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5.

[15] Xiang S, Fu Y, Guan M, et al. Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification[J]. Machine Learning, 2023, 112(6): 1923-1940.

[14] Ruan J, Xiang S*, Xie M, et al. MALUNet: A multi-attention and light-weight unet for skin lesion segmentation[C]//2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2022: 1150-1156.

[13] Guan M, Xiang S, Liu T, et al. CDTNET: Cross-Domain Transformer Based on Attributes for Person Re-Identification[C]//2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). IEEE, 2022: 1-6.

[12] Xiang S, You G, Li L, et al. Rethinking illumination for person re-identification: A unified view[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022: 4731-4739.

[11] Xie M, Xiang S, Wang F, et al. Spatial Attention Guided Local Facial Attribute Editing[C]//2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2022: 01-06.

[10] Wang F, Xiang S, Liu T, et al. Attention Based Facial Expression Manipulation[C]//2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW). IEEE, 2021: 1-6.

[9] Xiang S, Fu Y, You G, et al. Taking a closer look at synthesis: Fine-grained attribute analysis for person re-identification[C]//ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021: 3765-3769.

[8] Xiang S, Fu Y, Chen H, et al. Multi-level feature learning with attention for person re-identification[J]. Multimedia Tools and Applications, 2020, 79: 32079-32093.

[7] Xiang S, Fu Y, Liu T. Progressive learning with style transfer for distant domain adaptation[J]. IET Image Processing, 2020, 14(14): 3527-3535.

[6] Xiang S, Fu Y, You G, et al. Unsupervised domain adaptation through synthesis for person re-identification[C]//2020 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2020: 1-6.

[5] Xiang S, Fu Y, Xie M, et al. Unsupervised person re-identification by hierarchical cluster and domain transfer[J]. Multimedia Tools and Applications, 2020, 79: 19769-19786.

[4] Xiang S, Fu Y, Liu T. Deep unsupervised progressive learning for distant domain adaptation[C]//2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2019: 903-908.

[3] Xu R, Fu Y, Liu T, Xiang S. Enhancing Model Performance of Person Re-Indentification on Unknown Target Domain[C]//2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2018: 1-4.

[2] Xiang S C, Zhang M X, Xing Z C, et al. Circuit design and optimization based on EXT, EXTU instruction[C]//Design, Manufacturing and Mechatronics: Proceedings of the International Conference on Design, Manufacturing and Mechatronics (ICDMM2016). 2017: 208-216.

[1] Xiang S, Zhang M, Xing Z, et al. Hardware design of ML algorithm in MIMO-OFDM system[C]//2016 3rd International Conference on Systems and Informatics (ICSAI). IEEE, 2016: 965-970.

人工智能与医学，研究生

人机交互技术，本科生