Ying-Peng Tang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Active Learning

Object Detection

Skyline Queries

Misclassification Costs

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Geosci. Remote. Sens.

Publications

Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models. CoRR (2024)
Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models. ICLR (2024)
Dong Liang, Jing-Wei Zhang, Ying-Peng Tang, Sheng-Jun Huang
MUS-CDB: Mixed Uncertainty Sampling With Class Distribution Balancing for Active Annotation in Aerial Object Detection. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Ying-Peng Tang, Xiu-Shen Wei, Borui Zhao, Sheng-Jun Huang
QBox: Partial Transfer Learning With Active Querying for Object Detection. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Dong Liang, Jing-Wei Zhang, Ying-Peng Tang, Sheng-Jun Huang
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection. CoRR (2022)
Ying-Peng Tang, Sheng-Jun Huang
Active Learning for Multiple Target Models. NeurIPS (2022)
Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang
A Survey of Learning on Small Data. CoRR (2022)
Ying-Peng Tang, Sheng-Jun Huang
Dual Active Learning for Both Model and Data Selection. IJCAI (2021)
Ying-Peng Tang, Sheng-Jun Huang
Self-Paced Active Learning: Query the Right Thing at the Right Time. AAAI (2019)
Ying-Peng Tang, Guo-Xiang Li, Sheng-Jun Huang
ALiPy: Active Learning in Python. CoRR (2019)