Hao Tang (唐昊)Ph.D. CandidateSchool of Computer Science and Engineering, Nanjing University of Science and Technology Office: Room 2046, CSE Building Email: tanghao0918_at_njust.edu.cn CV • Google Scholar • Github |
About Me
Hi there 😄! I'm Hao Tang, a final-year Ph.D. Candidate at Nanjing University of Science and Technology in Intelligent Media Analysis Group (IMAG), supervised by Prof. Jinhui Tang and co-supervised by Prof. Zechao Li.
Before that, I received my B.Sc. degree from Harbin Engineering University in June 2018.
Currently, I'm a visiting Ph.D. student at Singapore Management University in the Visual Understanding and Generation (VUG) laboratory, working closely with Prof. Shengfeng He.
Previously, I visited the Computer Vision & Learning Group (VLG) of Prof. Jun Liu at Singapore University of Technology and Design.
My primary research interests mainly focus on data-efficient Learning and its applications in Computer Vision and Multimedia. 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 email me! 😊
Recent News
- 2024/04: One paper has been accepted by IEEE TKDE (CCF-A, IF=8.90).
- 2024/04: One paper has been accepted by IEEE TNNLS (JCR Q1, IF=10.40).
- 2024/02: One paper has been accepted by CVPR 2024.
- 2024/02: One paper has been accepted by IEEE TCSVT (JCR Q1, IF=8.40).
- 2024/01: One paper has been newly selected as ESI Hot Paper (Top 0.1% of papers in the academic field).
- 2023/12: One paper has been accepted by Information Fusion (JCR Q1, IF=18.60).
- 2023/12: One paper has been accepted by AAAI 2024.
- 2023/11: One paper has been accepted by IEEE TCSVT (JCR Q1, IF=8.40).
- 2023/11: Two paper has been newly selected as ESI Highly Cited Paper (Top 1% of papers in the academic field).
- 2023/08: One paper has been accepted by IEEE TNNLS (JCR Q1, IF=10.40).
- 2023/07: One paper has been accepted by ACM Multimedia 2023.
- 2023/01: One paper has been accepted by IEEE TNNLS (JCR Q1, IF=10.40).
- 2023/01: One paper has been accepted by IEEE TCSVT (JCR Q1, IF=8.40).
- 2022/05: One paper has been accepted by Pattern Recognition (JCR Q1, IF=8.00).
- 2021/08: One paper accepted by IJCAI 2021 LTDL Workshop was awarded as the Best Paper.
- 2021/08: We won the Best Paper Award of the LTDL Workshop in IJCAI 2021.
- 2021/07: Our team has been granted the Silver Award of ICIG 2021 Challenge.
Workshop: Few-Shot Learning-Based High-speed Railway Catenary Image Detection and Analysis - 2021/07: I was selected for the Excellent Ph.D. Students Sponsorship Program by NJUST.
- 2021/06: One paper has been accepted by IJCAI 2021 LTDL Workshop.
- 2020/08: One paper has been accepted by ACM Multimedia 2020.
All Publications
Selected Publications
2024
Delving into Multimodal Prompting for Fine-grained Visual Classification
Xin Jiang#, Hao Tang#, Junyao Gao, Xiaoyu Du, Shengfeng He, and Zechao Li (# equal contribution)
AAAI Conference on Artificial Intelligence 2024
Xin Jiang#, Hao Tang#, Junyao Gao, Xiaoyu Du, Shengfeng He, and Zechao Li (# equal contribution)
AAAI Conference on Artificial Intelligence 2024
Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
Yingjie Xu, Bangzhen Liu, Hao Tang, Bailin Deng, and Shengfeng He
IEEE Conference on Computer Vision and Pattern Recognition 2024 [Code]
Yingjie Xu, Bangzhen Liu, Hao Tang, Bailin Deng, and Shengfeng He
IEEE Conference on Computer Vision and Pattern Recognition 2024 [Code]
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly Detection
Peng Xing, Hao Tang, Jinhui Tang, and Zechao Li
IEEE Transactions on Neural Networks and Learning Systems
Peng Xing, Hao Tang, Jinhui Tang, and Zechao Li
IEEE Transactions on Neural Networks and Learning Systems
Global Meets Local: Dual Activation Hashing Network for Large-Scale Fine-Grained Image Retrieval
Xin Jiang, Hao Tang, and Zechao Li
IEEE Transactions on Knowledge and Data Engineering
Xin Jiang, Hao Tang, and Zechao Li
IEEE Transactions on Knowledge and Data Engineering
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples
Ziye Fang, Xin Jiang, Hao Tang, and Zechao Li
IEEE Transactions on Circuits and Systems for Video Technology
Ziye Fang, Xin Jiang, Hao Tang, and Zechao Li
IEEE Transactions on Circuits and Systems for Video Technology
Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
Hao Tang, Zechao Li, Dong Zhang, Shengfeng He, and Jinhui Tang
Under Review, 2024 [Code]
Hao Tang, Zechao Li, Dong Zhang, Shengfeng He, and Jinhui Tang
Under Review, 2024 [Code]
2023
M3Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
Hao Tang, Jun Liu, Shuanglin Yan, Rui Yan, Zechao Li, and Jinhui Tang
ACM Multimedia 2023
Hao Tang, Jun Liu, Shuanglin Yan, Rui Yan, Zechao Li, and Jinhui Tang
ACM Multimedia 2023
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
Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search
Shuanglin Yan, Hao Tang, Liyan Zhang, and Jinhui Tang
IEEE Transactions on Neural Networks and Learning Systems [Code]
Shuanglin Yan, Hao Tang, Liyan Zhang, and Jinhui Tang
IEEE Transactions on Neural Networks and Learning Systems [Code]
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
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification
Neng Dong, Liyan Zhang, Shuanglin Yan, Hao Tang, and Jinhui Tang
IEEE Transactions on Circuits and Systems for Video Technology [Code]
Neng Dong, Liyan Zhang, Shuanglin Yan, Hao Tang, and Jinhui Tang
IEEE Transactions on Circuits and Systems for Video Technology [Code]
Multi-view Information Integration and Propagation for Occluded Person Re-identification
Neng Dong, Shuanglin Yan, Hao Tang, Jinhui Tang, and Liyan Zhang
Information Fusion [Code]
Neng Dong, Shuanglin Yan, Hao Tang, Jinhui Tang, and Liyan Zhang
Information Fusion [Code]
2022
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
2021
Coupled Patch Similarity Network For One-Shot Fine-Grained Image Recognition
Sheng Tian, Hao Tang, and Longquan Dai
IEEE ICIP 2021 [Code]
Sheng Tian, Hao Tang, and Longquan Dai
IEEE ICIP 2021 [Code]
Learning a Tree-Structured Channel-Wise Refinement Network for Efficient Image Deraining
Di Wang#, Hao Tang#, Jinshan Pan, and Jinhui Tang (# equal contribution)
IEEE ICME 2021 [Code]
Di Wang#, Hao Tang#, Jinshan Pan, and Jinhui Tang (# equal contribution)
IEEE ICME 2021 [Code]
2020
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
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
- Journal Reviewer: • IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) • IEEE Transactions on Image Processing (T-IP) • IEEE Transactions on Neural Networks and Learning Systems (T-NNLS) • IEEE Transactions on Information Forensics and Security (T-IFS) • IEEE Transactions on Multimedia (T-MM) • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) • IEEE Transactions on Intelligent Transportation Systems (T-ITS) • IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) • IEEE Transactions on Emerging Topics in Computational Intelligence (T-ETCI) • IEEE Internet of Things Journal (IOT) • IEEE Signal Processing Letters (SPL) • Pattern Recognition (PR) • Knowledge-Based Systems (KBS) • Information Sciences (IS)
- 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 Conference on Computer Vision and Pattern Recognition (CVPR)