Ying-Peng Tang

According to our database, Ying-Peng Tang authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models.

Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

QBox: Partial Transfer Learning With Active Querying for Object Detection.

Ying-Peng Tang, Xiu-Shen Wei, Borui Zhao, Sheng-Jun Huang

IEEE Trans. Neural Networks Learn. Syst., June, 2023

MUS-CDB: Mixed Uncertainty Sampling With Class Distribution Balancing for Active Annotation in Aerial Object Detection.

Dong Liang, Jing-Wei Zhang, Ying-Peng Tang, Sheng-Jun Huang

IEEE Trans. Geosci. Remote. Sens., 2023

2022

A Survey of Learning on Small Data.

Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang

CoRR, 2022

Active Learning for Multiple Target Models.

Ying-Peng Tang, Sheng-Jun Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Dual Active Learning for Both Model and Data Selection.

Ying-Peng Tang, Sheng-Jun Huang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2019

ALiPy: Active Learning in Python.

Ying-Peng Tang, Guo-Xiang Li, Sheng-Jun Huang

CoRR, 2019

Self-Paced Active Learning: Query the Right Thing at the Right Time.

Ying-Peng Tang, Sheng-Jun Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019