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Dr. TANG Hao (唐 昊)Centre for Smart Health, Postdoctoral FellowThe Hong Kong Polytechnic University Office: Room FJ-505, Chan Tai Ho Building Email: howard.haotang_at_gmail.com 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. Guo-jun 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.
NEW (Jan, 2026) — Remote, HK-based or Shenzhen-based positions available!
We are actively seeking motivated Ph.D., M.S., and undergraduate students to work with Prof. Qin and me through research assistantships, visiting positions, or remote internships in AI for Medicine.
If you are interested in collaborating or would like to get in touch, please feel free to email me or connect with me on WeChat !😊
Recent News
- 2026/01: One paper has been accepted by IJCV (JCR Q1, CCF-A, IF=9.30).
- 2025/11: I am honored to receive the Best Reviewer Award at CCBR 2025.
- 2025/11: Four papers have been accepted by AAAI 2026 (CCF-A, Acceptance Rate 17.6%).
- 2025/10: One paper has been accepted by IEEE TDSC (JCR Q1, CCF-A, IF=7.30).
- 2025/09: Invited as an Area Chair for ICASSP 2026.
- 2025/08: Invited as Session Chair for the “Zero-shot and Few-shot Learning” session at IJCAI 2025.
- 2025/07: My Ph.D. dissertation has been selected as Excellent Doctoral Dissertation of NJUST.
- 2025/07: One paper has been selected as ESI Hot Paper (Top 0.1% of papers in the academic field).
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
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
Hao Tang, Shengfeng He, and Jing Qin
International Joint Conference on Artificial Intelligence 2025 Oral Presentation
Hao Tang, Shengfeng He, and Jing Qin
International Joint Conference on Artificial Intelligence 2025 Oral Presentation
FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstruction
Zheng Zhang, Hao Tang✉, Yingying Hu, Zhanli Hu, and Jing Qin
AAAI Conference on Artificial Intelligence 2026 Oral Presentation
Zheng Zhang, Hao Tang✉, Yingying Hu, Zhanli Hu, and Jing Qin
AAAI Conference on Artificial Intelligence 2026 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]
ESI Hot Paper & 
ESI Highly Cited Paper
Hao Tang, Zechao Li, Dong Zhang, Shengfeng He, and Jinhui Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence [Code]
ESI Hot Paper & ESI Highly Cited Paper
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
Top Cited Paper in Pattern Recognition (One of the most cited articles published since January 2022)
Hao Tang, Chengcheng Yuan, Zechao Li, and Jinhui Tang
Pattern Recognition [Code]
IJCAI LTDL Workshop 2021 Best Paper Award & ESI Highly Cited Paper Top Cited Paper in Pattern Recognition (One of the most cited articles published since January 2022)
Honors & Awards
- Excellent Doctoral Dissertation Award at NJUST, 2025
- The 19th Chinese Conference on Biometric Recognition (CCBR) Best Reviewer Award, 2025
- IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) Outstanding Reviewer Award, 2025
- 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 Award 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 • International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2026
- 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 Dependable and Secure Computing (TDSC) • IEEE Transactions on Neural Networks and Learning Systems (TNNLS) • IEEE Transactions on Multimedia (TMM) • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) • IEEE Transactions on Geoscience and Remote Sensing (TGRS) • SCIENCE CHINA Information Sciences (SCIS)
- Conference Reviewer / Program Committee Member: • Association for the Advancement of Artificial Intelligence (AAAI) • ACM International Conference on Multimedia (ACM MM) • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) • International Joint Conference on Artificial Intelligence (IJCAI) • International Conference on Learning Representations (ICLR) • International Conference on Machine Learning (ICML) • Neural Information Processing Systems (NeurIPS)