YiHe's Homepage

Ying-Peng Tang

College of Computing and Data Science

Nanyang Technological University

tangyp@nuaa.edu.cn

I am a research fellow in the TrustFUL lab (hosted by Prof. Han Yu), College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), Singapore. I received my B.Sc., Master and Ph.D. degrees in computer science and technology from Nanjing University of Aeronautics and Astronautics in 2017, 2020 and 2024 respectively, under the supervision of Prof. Sheng-Jun Huang. I was a member of PARNEC Group from 2017 to 2024. My research interests include machine learning and data mining. Specifically I am working on active learning.

Recent Project

ALiPy github stars: 800+

ALiPy: Active Learning in Python is an active learning python toolbox.

code of DUAL method

Code of IJCAI'21 Dual Active Learning for Both Model and Data Selection.

code of SPAL method

Code of AAAI'19 Self-Paced Active Learning: Query the Right Thing at the Right Time.

code of QBOX method

Code of TNNLS - QBox: Partial Transfer Learning with Active Querying for Object Detection.

Publications & Patterns

	(ICLR'24) One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models. Sheng-Jun Huang, Yi Li, Yiming Sun and Ying-Peng Tang. In: Proceedings of the 12th International Conference on Learning Representations, 2024.
	(TGRS-23) MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection. Dong Liang, Jing-Wei Zhang, Ying-Peng Tang and Sheng-Jun Huang. In: IEEE Transactions on Geoscience and Remote Sensing, 2023.
	(NeurIPS'22) Active Learning for Multiple Target Models. Ying-Peng Tang and Sheng-Jun Huang. In: Proceedings of the 36th Conference on Neural Information Processing Systems, 2022.
	(TNNLS-21) QBox: Partial Transfer Learning with Active Querying for Object Detection. Ying-Peng Tang, Xiu-Shen Wei, Bo-Rui Zhao and Sheng-Jun Huang. In: IEEE Transactions on Neural Networks and Learning Systems, 2021.
	(IJCAI'21) Dual Active Learning for Both Model and Data Selection. Ying-Peng Tang and Sheng-Jun Huang. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence, 2021.
	(AAAI'19) Self-paced active learning: query the right thing at the right time. Ying-Peng Tang, Sheng-Jun Huang. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence, 2019.
	(ArXiv) ALiPy: Active Learning in Python. Ying-Peng Tang, Guo-Xiang Li, Sheng-Jun Huang. Technical report, 2019.
	(Pattern) 一种基于微博的新闻事件影响力预测方法. Sheng-Jun Huang, Ying-Peng Tang. (申请号：2018108395214 公布号：CN108876058A, 已授权)
	(Pattern) 一种跨域图像示例级主动标注方法. Ying-Peng Tang, Sheng-Jun Huang. (专利号：202110619202.4)
	(Pattern) 一种分布式异步主动标注方法. Sheng-Jun Huang, Chen-Chen Zong, Kun-Peng Ning, Ying-Peng Tang. (专利号：202110801168.2)

Awards

2019.9

National Scholarship for Master Student

2020.4

Excellent Master thesis and Excellent graduate student in NUAA

2021.8

The 7th China International College Students' "Internet+" Innovation and Entrepreneurship Competition Silver Award (as team leader)

2021.9

Advanced individual in scientific research and social activities in NUAA

2021.11

Excellent Master thesis in Jiangsu Province and Jiangsu Computer Society

2021.12

Special Scholarship for Postgraduate students: Hui-Zhuan Science and Technology Scholarship

2021.12

NUAA "Stars" Innovation Nomination Award

2022.3

"International Salon of Inventions of Geneva" Gold Award

2022.4

Merit Student in Jiangsu Province

2022.10

National Scholarship for Ph.D Candidate

Sunlight & Music