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Rong Zhang 0006
Person information
- affiliation: Alibaba Group, Hangzhou, China
Other persons with the same name
- Rong Zhang — disambiguation page
- Rong Zhang 0001
— University of Southampton, School of Electronics and Computer Science, UK
- Rong Zhang 0002
- Rong Zhang 0003 — Carnegie Mellon University, Language Technology Institute, Pittsburgh, PA, USA
- Rong Zhang 0004
- Rong Zhang 0005
- Rong Zhang 0007
- Rong Zhang 0008 — Shanghai Maritime University, Research Center of Logistics, Shanghai, China
- Rong Zhang 0009
- Rong Zhang 0010 — IBM Research AI, USA
- Rong Zhang 0011
- Rong Zhang 0012
- Rong Zhang 0013 — University of Texas at Arlington, Department of Computer Science and Engineering, Arlington, TX, USA (and 1 more)
- Rong Zhang 0014 — Qualcomm, Inc., San Diego, CA, USA (and 1 more)
- Rong Zhang 0015
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2020 – today
- 2024
- [j4]Xiaofeng Mao
Context-Aware Robust Fine-Tuning. Int. J. Comput. Vis. 132(5): 1685-1700 (2024) - [j3]Yao Zhu
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. Int. J. Comput. Vis. 132(10): 4633-4650 (2024) - [j2]Xiaojun Jia
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. IEEE Trans. Inf. Forensics Secur. 19: 8125-8139 (2024) - [i18]Jinfeng Li, Yuefeng Chen, Xiangyu Liu, Longtao Huang, Rong Zhang, Hui Xue:
fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations. CoRR abs/2407.08189 (2024) - 2023
- [j1]Yao Zhu
Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems. IEEE Trans. Inf. Forensics Secur. 18: 2046-2059 (2023) - [c17]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 - [c16]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 - [c15]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 - [c14]Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue:
Inequality phenomenon in l∞-adversarial training, and its unrealized threats. ICLR 2023 - [c13]Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue:
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. INTERSPEECH 2023: 561-565 - [c12]Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue:
FairRec: Fairness Testing for Deep Recommender Systems. ISSTA 2023: 310-321 - [c11]Gege Qi
Model Inversion Attack via Dynamic Memory Learning. ACM Multimedia 2023: 5614-5622 - [i17]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) - [i16]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) - [i15]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) - [i14]Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue:
FairRec: Fairness Testing for Deep Recommender Systems. CoRR abs/2304.07030 (2023) - [i13]Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue:
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. CoRR abs/2307.12498 (2023) - [i12]Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. CoRR abs/2307.12730 (2023) - [i11]Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Xiaochun Cao:
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. CoRR abs/2308.11443 (2023) - [i10]Gege Qi, Yuefeng Chen, Xiaofeng Mao, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue:
Model Inversion Attack via Dynamic Memory Learning. CoRR abs/2309.00013 (2023) - 2022
- [c10]Zihan Zhang, Jinfeng Li, Ning Shi, Bo Yuan, Xiangyu Liu, Rong Zhang, Hui Xue, Donghong Sun, Chao Zhang:
RoChBert: Towards Robust BERT Fine-tuning for Chinese. EMNLP (Findings) 2022: 3502-3516 - [c9]Xiaohui Song, Liangjun Zang, Rong Zhang, Songlin Hu
Emotionflow: Capture the Dialogue Level Emotion Transitions. ICASSP 2022: 8542-8546 - [c8]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 - [c7]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 - [i9]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) - [i8]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) - [i7]Zihan Zhang, Jinfeng Li, Ning Shi, Bo Yuan, Xiangyu Liu, Rong Zhang, Hui Xue, Donghong Sun, Chao Zhang:
RoChBert: Towards Robust BERT Fine-tuning for Chinese. CoRR abs/2210.15944 (2022) - [i6]Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li:
Context-Aware Robust Fine-Tuning. CoRR abs/2211.16175 (2022) - [i5]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
- [c6]Jinfeng Li, Tianyu Du, Xiangyu Liu, Rong Zhang, Hui Xue, Shouling Ji:
Enhancing Model Robustness by Incorporating Adversarial Knowledge into Semantic Representation. ICASSP 2021: 7708-7712 - [i4]Jinfeng Li, Tianyu Du, Xiangyu Liu, Rong Zhang, Hui Xue, Shouling Ji:
Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation. CoRR abs/2102.11584 (2021) - 2020
- [c5]He Zhao, Longtao Huang, Rong Zhang, Quan Lu, Hui Xue:
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. ACL 2020: 3239-3248 - [c4]Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue:
The Open Brands Dataset: Unified Brand Detection and Recognition at Scale. ICASSP 2020: 4387-4391 - [c3]Longtao Huang, Bo Yuan
Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce. SIGIR 2020: 901-910 - [c2]Jinfeng Li, Tianyu Du, Shouling Ji, Rong Zhang, Quan Lu, Min Yang, Ting Wang:
TextShield: Robust Text Classification Based on Multimodal Embedding and Neural Machine Translation. USENIX Security Symposium 2020: 1381-1398 - [i3]Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue:
The Open Brands Dataset: Unified brand detection and recognition at scale. CoRR abs/2012.07350 (2020)
2010 – 2019
- 2019
- [i2]Shipeng Xie, Da Chen, Rong Zhang, Hui Xue:
Deep Features Analysis with Attention Networks. CoRR abs/1901.10042 (2019) - [i1]Feng Mao, Xiang Wu, Hui Xue, Rong Zhang:
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. CoRR abs/1906.00377 (2019) - 2018
- [c1]Feng Mao
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. ECCV Workshops (4) 2018: 262-270
Coauthor Index
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last updated on 2024-11-11 22:26 CET by the dblp team
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