Dr. Hao TANG (唐 昊)Centre for Smart Health, Postdoctoral FellowThe Hong Kong Polytechnic University Office: Room FJ-505, Chan Tai Ho Building Email: howard-hao.tang_at_polyu.edu.hk Google Scholar • Github • WeChat |
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About Me
Hi there 😄! I'm Hao (Howard) Tang, currently a postdoctoral fellow at Centre for Smart Health, The Hong Kong Polytechnic University with Prof. Jing (Harry) Qin.
Prior to this, I received my Ph.D. in 2024 from Nanjing University of Science and Technology, where I was supervised by Prof. Jinhui Tang (IAPR Fellow) and co-supervised by Prof. Zechao Li.
During my doctoral journey, I have been fortunately advised by and working with: Prof. Shengfeng He, Prof. Jun Liu and Prof. Guojun Qi (IEEE/IAPR Fellow).
My primary research interests include machine learning, computer vision, and medical image analysis, with a particular focus on fine-grained learning, data-efficient learning, and multi-modal learning, as well as their practical applications.
The ultimate goal of my research is to develop machines that can learn from Limited, Dynamic, and Imperfect data in real-world scenes like humans.
I'm always interested in meeting new people and hearing about potential collaborations. If you'd like to work together or get in contact with me, please feel free to email or add me on WeChat !😊
I'm always interested in meeting new people and hearing about potential collaborations. If you'd like to work together or get in contact with me, please feel free to email or add me on WeChat !😊
Recent News
- [Call for Paper] Special Issue Recent Advances in Applications of Machine Learning and Computer Vision in Electronics (IF: 2.6).
- 2025/01: Invited as an Area Chair for IJCNN 2025.
Selected Publications
BlockMix: Meta Regularization and Self-Calibrated Inference for Metric-Based Meta-Learning
Hao Tang, Zechao Li, Zhimao Peng, and Jinhui Tang
ACM Multimedia 2020 Oral Presentation
Hao Tang, Zechao Li, Zhimao Peng, and Jinhui Tang
ACM Multimedia 2020 Oral Presentation
Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
Hao Tang, Zechao Li, Dong Zhang, Shengfeng He, and Jinhui Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence [Code]
Hao Tang, Zechao Li, Dong Zhang, Shengfeng He, and Jinhui Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence [Code]
Learning Attention-Guided Pyramidal Features for Few-shot Fine-grained Recognition
Hao Tang, Chengcheng Yuan, Zechao Li, and Jinhui Tang
Pattern Recognition [Code]
IJCAI LTDL Workshop 2021 Best Paper Award & ESI Highly Cited Paper
Hao Tang, Chengcheng Yuan, Zechao Li, and Jinhui Tang
Pattern Recognition [Code]
IJCAI LTDL Workshop 2021 Best Paper Award & ESI Highly Cited Paper
Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition
Zechao Li, Hao Tang, Zhimao Peng, Guo-jun Qi, and Jinhui Tang
IEEE Transactions on Neural Networks and Learning Systems [Code] ESI Hot Paper & ESI Highly Cited Paper
Zechao Li, Hao Tang, Zhimao Peng, Guo-jun Qi, and Jinhui Tang
IEEE Transactions on Neural Networks and Learning Systems [Code]
ESI Hot Paper & ESI Highly Cited Paper
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
Zican Zha, Hao Tang, Yunlian Sun, and Jinhui Tang
IEEE Transactions on Circuits and Systems for Video Technology [Code] ESI Highly Cited Paper
Zican Zha, Hao Tang, Yunlian Sun, and Jinhui Tang
IEEE Transactions on Circuits and Systems for Video Technology [Code]
ESI Highly Cited Paper
Honors & Awards
- Silver Award at FSL-Based High-speed Railway Catenary Image Detection and Analysis Workshop, ICIG 2021
- Best Paper Award at Long-Tailed Distribution Learning Workshop, IJCAI 2021
- Excellent Ph.D. Students Sponsorship Program of NJUST, 2021~2023
- First Prize Scholarship of Nanjing University of Science and Technology, 2018~2022
- Excellent Bachelor Thesis & Excellent Graduate at HEU, 2018
- First-class Innovation Scholarship, Ministry of Industry and Information Technology of China, 2017
Professional Services
- Area Chair: • International Joint Conference on Neural Networks (IJCNN) 2025
- Editorial Board Member: • Medical Artificial Intelligence • Deep Learning and Pattern Recognition
- Guest Editor: • [Electronics] Special Issue on Recent Advances in Applications of Machine Learning and Computer Vision
- Journal Reviewer: • International Journal of Computer Vision (IJCV) • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) • IEEE Transactions on Image Processing (TIP) • IEEE Transactions on Information Forensics and Security (TIFS) • IEEE Transactions on Neural Networks and Learning Systems (TNNLS) • IEEE Transactions on Multimedia (TMM) • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- Conference Reviewer / Program Committee Member: • Association for the Advancement of Artificial Intelligence (AAAI) • ACM International Conference on Multimedia (ACM MM) • International Joint Conference on Artificial Intelligence (IJCAI) • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • International Conference on Learning Representations (ICLR)