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唐英鹏

计算与数据科学学院（College of Computing and Data Science）

南洋理工大学（Nanyang Technological University）

yingpeng.tang@ntu.edu.sg

我目前是南洋理工大学（Nanyang Technological University）计算与数据科学学院（College of Computing and Data Science）的博士后研究员（由Prof. Alvin Chan教授指导）. 我在2013-2024年就读于南京航空航天大学，并于2017年获得工学学士学位（信息安全专业）；于2020年与2024年分别获得工学硕士与工学博士学位（计算机科学与技术专业），由黄圣君教授指导. 我在2024-2025年是TrustFUL实验室的博士后研究员（由于涵教授指导），2017-2024年是PARNEC组的一名成员. 我的研究方向主要为机器学习 (Machine Learning) 与主动学习 (Active Learning).

项目

ALiPy github stars: 800+

ALiPy是基于python的主动学习工具包，内置20余种主动学习算法，支持7种不同的场景。

DUAL论文代码

IJCAI'21 Dual Active Learning for Both Model and Data Selection 的论文代码。

SPAL论文代码

AAAI'19 Self-Paced Active Learning: Query the Right Thing at the Right Time 代码。

QBOX论文代码

TNNLS - QBox: Partial Transfer Learning with Active Querying for Object Detection 代码。

学术成果

	(CVPR'26) 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. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2026.
	(NeurIPS'25) Class-wise Balancing Data Replay for Federated Class-Incremental Learning. Zhuang Qi, Ying-Peng Tang, Lei Meng, Han Yu, Xiaoxiao Li, Xiangxu Meng. In: Proceedings of the 39th Annual Conference on Neural Information Processing Systems, 2025.
	(TPAMI-25, preprint) Active Learning for Multiple Target Models. Sheng-Jun Huang, Yi Li and Ying-Peng Tang. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
	(ICML'25) Efficient Heterogeneity-Aware Federated Active Data Selection. Ying-Peng Tang, Chao Ren, Xiaoli Tang, Sheng-Jun Huang, Lizhen Cui and Han Yu. In: Proceedings of the 42nd International Conference on Machine Learning, 2025.
	(JSAC-25) 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. In: IEEE Journal on Selected Areas in Communications, 2025.
	(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.
	(中国基础科学-22) 主动学习研究进展. Ying-Peng Tang and Sheng-Jun Huang. In: 中国基础科学, 2022(3): 18--26.
	(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.
	(Patent) 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)
	(Patent) 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)
	(Patent) 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)

获奖情况

2017-2019	学业奖学金一等奖
2017.9	研究生新生特别奖学金二等奖
2019.9	硕士三好研究生、科研创新先进个人
2019.9	硕士阶段国家奖学金
2020.4	校优秀硕士学位论文，硕士优秀毕业研究生
2021.8	第七届中国国际“互联网+”大学生创新创业大赛国赛银奖/江苏省一等奖（作为队长）
2021.9	博士三好研究生、科研创新先进个人、社会活动先进个人、优秀研究生创新团队
2021.11	江苏省优秀学术学位硕士学位论文
2021.12	研究生专项奖学金: 汇专科技奖学金
2021.12	校级"群星"创新提名奖
2022.3	“日内瓦国际发明评审日”金奖（组内第三）
2022.4	江苏省三好学生
2022.10	博士阶段国家奖学金

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