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2020 – today
- 2024
[c4]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- [i4]Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang:
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models. CoRR abs/2405.14121 (2024) - 2023
- [j2]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: 1-13 (2023) - [j1]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): 3058-3070 (2023) - 2022
- [c3]Ying-Peng Tang, Sheng-Jun Huang:
Active Learning for Multiple Target Models. NeurIPS 2022 - [i3]Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang:
A Survey of Learning on Small Data. CoRR abs/2207.14443 (2022) - [i2]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 abs/2212.02804 (2022) - 2021
- [c2]Ying-Peng Tang, Sheng-Jun Huang:
Dual Active Learning for Both Model and Data Selection. IJCAI 2021: 3052-3058
2010 – 2019
- 2019
- [c1]Ying-Peng Tang, Sheng-Jun Huang:
Self-Paced Active Learning: Query the Right Thing at the Right Time. AAAI 2019: 5117-5124 - [i1]Ying-Peng Tang, Guo-Xiang Li, Sheng-Jun Huang:
ALiPy: Active Learning in Python. CoRR abs/1901.03802 (2019)
Coauthor Index
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