Ying-Peng Tang

According to our database, Ying-Peng Tang authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity.

Zhuang Qi, Ying-Peng Tang, Lei Meng, Guoqing Chao, Lei Wu, Han Yu, Xiangxu Meng

CoRR, April, 2026

Active Learning for Multiple Target Models.

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

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

2025

QFEVAL: Quantum Federated Ensembled Variational Adaptive Learning for Dynamic Security Assessment in Cyber-Physical Systems.

Chao Ren, Ying-Peng Tang, Yulan Gao, Xian Sun, Kun Fu, Mikael Skoglund, Zhao Yang Dong, Han Yu, Anran Li, Ming Xiao

IEEE J. Sel. Areas Commun., September, 2025

Class-wise Balancing Data Replay for Federated Class-Incremental Learning.

Zhuang Qi, Ying-Peng Tang, Lei Meng, Han Yu, Xiaoxiao Li, Xiangxu Meng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Efficient Heterogeneity-Aware Federated Active Data Selection.

Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui, Han Yu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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