黄晟 - 重庆大学 - 大数据与软件学院

个人简介

黄晟，大数据与软件学院教授，主要从事多标签小样本学习、高分辨图像小目标分析、医学影像分析以及智能工业缺陷检测等研究，目前主持或参与国家自然科学基金、重庆自然科学基金面上项目、重庆市重点产业共性关键技术创新专项等国家和省部级项目等8项。近年来已经在ICCV、CVPR、TIFS、AAAI、TNNLS、TCSVT、软件学报等国内外权威刊物上发表论文40余篇，获重庆巴渝青年学者、ACM重庆分会学术新星奖等荣誉。现为中国计算机学会-计算机视觉专委会委员、中国图像图形学会-视觉大数据专委会委员、中国图像图形学会-成像探测与感知专委会委员、中国人工智能学会-模式识别专委会委员、中国自动化学会-模式识别与机器智能专委会委员，担任CVPR、ICCV、ECCV、ICML、ICLR、NeurIPS、AAAI、TPAMI、TIP、Artificial Intelligence等数十个国外权威刊物的审稿人。每年招收各类研究生共计2-4人。欢迎报考博士研究生、学术型硕士研究生、专业型硕士研究生、接收校内外相关专业推免研究生！也欢迎志趣相投，学有余力，立志AI方向的本科生加入我们团队！教育工作经历-Resume 2006.09-2010.06，重庆大学软件学院（现大数据与软件学院），获工学学士学位 2010.09-2015.06，重庆大学计算机学院，获工学博士学位 (导师:杨丹教授) 2012.11-2014.11，美国罗格斯大学计算机科学系，CSC公派博士生(导师:Ahmed Elgammal教授) 2015.07-2017.08，重庆大学大数据与软件学院，讲师 2017.09-2023.08，重庆大学大数据与软件学院，副教授 2023.09-至今，重庆大学大数据与软件学院，教授

研究领域

模式识别机器学习计算机视觉医学影像分析智能工业检测

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Yi Zhang, Sheng Huang*, Mingjian Hong, Dan Yang, Learning the Difference of Few-shot Food Data Using Multivariate Knowledge-guided Variational Autoencoder, IEEE Journal of Biomedical and Health Informatics (JBHI) 2025 录用.(JCR-1区, 中科院1区) 2. Yi Zhang, Sheng Huang*, Luwen Huangfu, Dajun Daniel Zeng. "Learning Feature Exploration and Selection with Handcrafted Features for Few-Shot Learning" IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC) 2025 录用.(JCR-1区, 中科院1区, IF=8.6） 3. Jiexuan Yan, Sheng Huang*, Nankun Mu, Luwen Huangfu, Bo Liu. "Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification". ACM International Conference on Multimedia (ACM MM) 2024,录用.(CCF-A) 4. Heng Fang, Sheng Huang*, Wenhao Tang, Luwen Huangfu, Bo Liu. "SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification". ACM International Conference on Multimedia (ACM MM) 2024,录用. (CCF-A) 5. Wenhao Tang, Fengtao Zhou, Sheng Huang*, Xiang Zhu, Yi Zhang and Bo Liu. "Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A) 6. Yijie Wang, Mingjian Hong, Luwen Huangfu, Sheng Huang*. "Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition." AAAI Conference on Artificial Intelligence (AAAI), 2024, Oral论文录用. (CCF-A, Oral论文录用率~2.2%=217/9862) 7. Guowei Yin, Sheng Huang*, Tao He, Jin Xie, Dan Yang. "Mirrored EAST: An Efficient Detector for Automatic Vehicle Identification Number Detection in the Wild." IEEE Transactions on Industrial Informatics (TII) 2023,录用 . (JCR-1区, 中科院1区, IF=12.3) 8. Wenhao Tang, Sheng Huang*, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, and Bo Liu. "Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification." IEEE International Conference on Computer Vision (ICCV), 2023, Oral论文录用. (CCF-A, Oral论文录用率~1.8%=152/8260) 9. Sheng Huang*, Wenhao Tang, Guixin Huang, Luwen Huangfu, Dan Yang. Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild". IEEE Transactions on Intelligent Transportation Systems (TITS) 2023,录用 . (JCR-1区, CCF-B) 10. Yi Zhang, Sheng Huang*, Xi Peng, and Dan Yang. "Semi-Identical Twins Variational AutoEncoder for Few-Shot Learning." IEEE Transactions on Neural Networks and Learning Systems (TNNLS) , 2023.(JCR-1区, CCF-B,IF=14.255) 11. Wenhao Tang, Sheng Huang*, Xiaoxian Zhang, Luwen Huangfu. "PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification". ACM International Conference on Multimedia (ACM MM) 2022,录用. (CCF-A) 12. Sheng Huang*, Jingkai Lin, Luwen Huangfu, Yun Xin, Junlin Hu, Dianel Dajun Zeng. "Adaptively Weighted k-tuple Metric Network for Kinship Verification". IEEE Transactions on Cybernetics (TCYB) 2022,录用 . (JCR-1区, CCF-B, 2022-IF=19.118) 13. Jiazhi Xu, Sheng Huang*, Luwen Huangfu, Dianel Dajun Zeng, Bo Liu, "Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation". International Joint Conference on Artificial Intelligence (IJCAI) 2022,录用. (CCF-A, 录用率~15%) 14. Fengtao Zhou, Sheng Huang*, Bo Liu, Dan Yang. "Multi-label Image Classification via Category Prototype Compositional Learning". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2021,录用 . (JCR-1区, CCF-B) 15. Yi Zhang, Sheng Huang*, Fengtao Zhou, "Generally Boosting Few-Shot Learning with HandCrafted Features". ACM International Conference on Multimedia (ACM MM) 2021:3143-3152. (CCF-A) 16. Wenhao Tang, Sheng Huang*, Qiming Zhao, Ren Li, Luwen Huangfu. "An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection". IEEE Transactions on Intelligent Transportation Systems (TITS) 2021,录用 . (JCR-1区, CCF-B) 17. Fengtao Zhou, Sheng Huang*, and Yun Xin. "Deep semantic dictionary learning for multi-label image classification ."AAAI Conference on Artificial Intelligence (AAAI), 35(4), 2021:3572-3580. (CCF-A, 录用率~21%) 18. Sheng Huang*, Yang Yu, Dan Yang, Ahmed Elgammal, and Dong Yang. "Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms." IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)26, no. 10 (2016): 1835-1845. (JCR-1区，CCF-B) 19. Sheng Huang, Ahmed Elgammal, Jiwen Lu, and Dan Yang*. "Cross-speed gait recognition using speed-invariant gait templates and globality–locality preserving projections." IEEE Transactions on Information Forensics and Security (TIFS) (2015): 10(10), pp.2071-2083. (JCR-1区，CCF-A) 20. Sheng Huang, Mohamed Elhoseiny, Ahmed Elgammal, and Dan Yang. "Learning hypergraph-regularized attribute predictors." IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 409-417. 2015. (CCF-A)

学术兼职

中国计算机学会-计算机视觉专委会委员中国图像图形学会-视觉大数据专委会委员中国图像图形学会-成像探测与感知专委会委员中国人工智能学会-模式识别专委会委员中国自动化学会-模式识别与机器智能专委会委员 ACM会员 IEEE会员中国计算机学会（CCF）会员中国计算机学会-计算机视觉专委会执行委员中国计算机学会-多媒体专委会执行委员中国图象图形学会（CSIG）会员中国图像图形学会-视觉大数据专委会执行委员中国图像图形学会-成像探测与感知专委会执行委员中国自动化学会（CAA）会员中国自动化学会-模式识别与机器智能专委会执行委员中国人工智能学会(CAAI)会员中国人工智能学会-模式识别专委会执行委员担任CVPR、ICCV、ECCV、ICML、ICLR、NeurIPS、AAAI、TPAMI、TIP、Artificial Intelligence等数十个国外权威刊物的审稿人