Biography

I am currently the full professor at Chongqing University. I received B.E degree  and Ph.D degree from Chongqing University from Chongqing University, PRC, in 2010 and 2015 respectively.  My PhD superviser is Prof. Dan Yang. During 2012-2014, I was a visiting PhD student under supervision of Prof. Ahmed Elgammal at Rutgers University, USA. 

I mainly focus on the studies of few/zero-shot learning, multi-label image classification, weakly supervised learning, graph/hypergraph learning and  their industrial applications.

Selected Publication [Full List][中文版]

[21] 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.

[20] 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.

[19] 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. 

[18] 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.

[17] 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. 

[16] 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 Presentation.

[15] Yin, Guowei, Sheng Huang*, Tao He, Jin Xie, and Dan Yang. "Mirrored EAST: An efficient detector for automatic vehicle identification number detection in the wild." IEEE Transactions on Industrial Informatics 20, no. 3 (2023): 4594-4605. 

[14] 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 Presentation.

[13] 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 . 

[12] 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.

[11] Xiaoxian Zhang, Sheng Huang*, Yi Zhang, Mingchen Gao, Chen Liu, and Xiaohong Zhang. "Dual Space Multiple Instance Representative Learning for Medical Image Classification." British Machine Vision Conference (BMVC), 2022. Spotlight Presentation. 

[10] 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.

[9] 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 . 

[8] 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.

[7] 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 .

[6] Yi Zhang, Sheng Huang*, Fengtao Zhou, "Generally Boosting Few-Shot Learning with HandCrafted Features". ACM  International Conference on Multimedia (ACM MM) 2021:3143-3152. 

[5] 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.

[4] 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. 

[3] 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. 

[2] 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. 

[1] 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. 

Guest Editor: Applied Sciences

Area Chair: PRCV 2023，IJCAI 2025

Reviewer: TPAMI, TIP,  Artificial Intelligence, Artificial Intelligence Review,  ICLR,  ICML,  CVPR,  ICCV,  ECCV,  NeurIPS,  AAAI and so on .