对抗学习

Gruop

关于团队小组简介-对抗学习

暂无介绍

成员

陶泽泽

实验师

毕业生（数据自2019年）

论文

2026

[1]

Peng Jinjia, Tao Zeze.

Transferable Adversarial Attack on Person Re-Identification via Direction-Aware Attack.

IEEE Transactions on Multimedia. SCI CCF A,中科院1区

[2]

Peng Jinjia, Liu Junyu, Zuo Xutao, Tao Zeze, et al.

Bi-Level Inter-Modality Modulation for Unsupervised Visible-Infrared Person Re-Identification.

IEEE Trans. SCI

[3]

李慧, 陶泽泽, 彭锦佳.

新质生产力发展背景下的人工智能“四新四有”人才培养模式[J].

中国高校科技,2026,(01):93-98. 核心

[4]

Peng Cheng ,Tao Zeze ,Liu Junyu, Peng Jinjia.

Enhancing adversarial transferability via curvature-aware penalization.

Neural networks : the official journal of the International Neural Network Society,2026,199108665. SCI

2025

[5]

Tao Zeze, Li Hui, Peng Jinjia, et al.

Global Aggregated Gradient-guided Adversarial Attacks for Person Re-identification.

Pattern Recognit. SCI 中科院1区Top

[6]

Tao Zeze, Peng Jinjia.

Prompting Adversarial Transferability via Path Flatness Attack.

AAAI 2026: 9511-9519. SCI CCF A

[7]

李慧,陶泽泽,彭锦佳.

以强化科研素养为导向的人工智能创新人才培养模式[J].

高等工程教育研究,2025,(05):39-45. CSSCI

[8]

Peng Jinjia(彭锦佳), Tao zeze(陶泽泽), et al.

Boosting Adversarial Transferability via Residual Perturbation Attack.

International Conference on Computer Vision. SCI CCF A

2024

[9]

Xiong Yanzhen(熊彦臻), Peng Jinjia(彭锦佳,通讯), Tao Zeze(陶泽泽), Wang Huibing.

Region-guided spatial feature aggregation network for vehicle re-identification.

Engineering Applications of Artificial Intelligence 139: 109568 (2025). SCI 中科院2区

[10]

Tao Zeze(陶泽泽), Lu Zhengjie(鲁正杰), Peng Jinjia(彭锦佳,通讯), Wang Huibing.

AGS: Transferable Adversarial Attack for Person Re-identification by Adaptive Gradient Similarity Attack Declaration of interests.

Knowledge-based System 304: 112506 (2024). SCI 中科院1区TOP,JCR Q1

[11]

Wang Chengjun(王铖俊), Peng Jinjia(彭锦佳,通讯), Tao Zeze(陶泽泽), Wang Huibing.

Uncertainty-guided Robust labels refinement for unsupervised person re-identification.

Neural Computing and Applications 36(2): 977-991 (2024). SCI 中科院3区

2020

[12]

宗晓萍,陶泽泽.

基于掌握速度的知识追踪模型[J].

计算机工程与应用,2021,57(06):117-123. EI

[13]

宗晓萍,陶泽泽.

改进的K-近邻算法及其在学习预警中的应用[J].

河北大学学报(自然科学版),2020,40(02):193-199. 核心

专利/软著

2024-03-29

一种车辆重识别装置，申请号202322481988.5

实用新型专利

2023-06-25

一种基于桥接网络知识回顾的终身行人重识别方法，申请号202310749036.9

发明专利

智能引领未来

河北大学网络空间安全与计算机学院

智能感知与信息处理实验室

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