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ORCIDYao Zhu 0003
Person information
- affiliation: Zhejiang University, Hangzhou, China
Other persons with the same name
- Yao Zhu — disambiguation page
- Yao Zhu 0001
![[0000-0002-1839-9780]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1839-9780")
— RWTH Aachen University, Germany - Yao Zhu 0002 — Peking University, Center for Data Science, Beijing, China
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2020 – today
- 2025
[j6]Yao Zhu, Xiu Yan, Chuanlong Xie:
Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective. Int. J. Comput. Vis. 133(7): 3839-3857 (2025)- [j5]Cong Zhang, Shuhui Wang, Xiaodan Li, Yao Zhu, Honggang Qi, Qingming Huang:
Enhancing the Robustness of Vision-Language Foundation Models by Alignment Perturbation. IEEE Trans. Inf. Forensics Secur. 20: 7091-7105 (2025) - [j4]Yao Zhu, Yuefeng Chen, Xiaofeng Mao, Xiu Yan, Yue Wang, Wang Lu, Jindong Wang, Xiangyang Ji:
Enhancing Few-Shot CLIP With Semantic-Aware Fine-Tuning. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12349-12362 (2025) - 2024
- [j3]Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen:
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. Int. J. Comput. Vis. 132(10): 4633-4650 (2024) - 2023
- [j2]Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen:
Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems. IEEE Trans. Inf. Forensics Secur. 18: 2046-2059 (2023) - [c7]Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue:
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. CVPR 2023: 20371-20381 - [c6]Gege Qi, Yuefeng Chen, Yao Zhu, Binyuan Hui, Xiaodan Li, Xiaofeng Mao, Rong Zhang, Hui Xue:
Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations. ICASSP 2023: 1-5 - [c5]Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue:
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. ICCV 2023: 6316-6327 - [c4]Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue:
Inequality phenomenon in l∞-adversarial training, and its unrealized threats. ICLR 2023 - [i10]Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen:
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems. CoRR abs/2303.11625 (2023) - [i9]Gege Qi, Yuefeng Chen, Xiaofeng Mao, Yao Zhu, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue:
TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations. CoRR abs/2303.15940 (2023) - [i8]Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue:
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. CoRR abs/2303.17096 (2023) - [i7]Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue:
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. CoRR abs/2307.12730 (2023) - [i6]Yao Zhu, Yuefeng Chen, Wei Wang, Xiaofeng Mao, Xiu Yan, Yue Wang, Zhigang Li, Wang Lu, Jindong Wang, Xiangyang Ji:
Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning. CoRR abs/2311.04464 (2023) - 2022
- [j1]Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang:
Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective. IEEE Trans. Image Process. 31: 6487-6501 (2022) - [c3]Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue:
Enhance the Visual Representation via Discrete Adversarial Training. NeurIPS 2022 - [c2]Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen:
Boosting Out-of-distribution Detection with Typical Features. NeurIPS 2022 - [i5]Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue:
Enhance the Visual Representation via Discrete Adversarial Training. CoRR abs/2209.07735 (2022) - [i4]Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen:
Boosting Out-of-distribution Detection with Typical Features. CoRR abs/2210.04200 (2022) - [i3]Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang:
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective. CoRR abs/2210.04213 (2022) - [i2]Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen:
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. CoRR abs/2211.16778 (2022) - 2021
- [c1]Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li:
Towards Understanding the Generative Capability of Adversarially Robust Classifiers. ICCV 2021: 7708-7717 - [i1]Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li:
Towards Understanding the Generative Capability of Adversarially Robust Classifiers. CoRR abs/2108.09093 (2021)
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