Rong Zhang - RankMe

40 papers A* 9A 2Misc 4Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision. CoRR Xiaofeng Mao, Yuefeng Chen, Rong Zhang, Hui Xue, Zhao Li, Hang Su
2024	J	`jnl`	Context-Aware Robust Fine-Tuning. Int. J. Comput. Vis. Xiaofeng Mao, Yufeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li
2024	J	`jnl`	Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. Int. J. Comput. Vis. Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen
2024	J	`jnl`	Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. IEEE Trans. Inf. Forensics Secur. Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Yang Liu, Xiaochun Cao
2024	J	`jnl`	fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations. CoRR Jinfeng Li, Yuefeng Chen, Xiangyu Liu, Longtao Huang, Rong Zhang, Hui Xue
2023	A*	`conf`	COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. ICCV Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue
2023	J	`jnl`	COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. CoRR Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue
2023	A	`conf`	FairRec: Fairness Testing for Deep Recommender Systems. ISSTA Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue
2023	J	`jnl`	FairRec: Fairness Testing for Deep Recommender Systems. CoRR Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue
2023	A*	`conf`	ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. CVPR Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue
2023	J	`jnl`	ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. CoRR Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue
2023	A*	`conf`	Inequality phenomenon in l ICLR Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue
2023	J	`jnl`	Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems. IEEE Trans. Inf. Forensics Secur. Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen
2023	J	`jnl`	Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems. CoRR Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen
2023	A*	`conf`	Model Inversion Attack via Dynamic Memory Learning. ACM Multimedia Gege Qi, Yuefeng Chen, Xiaofeng Mao, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue
2023	J	`jnl`	Model Inversion Attack via Dynamic Memory Learning. CoRR Gege Qi, Yuefeng Chen, Xiaofeng Mao, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue
2023	J	`jnl`	Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. CoRR Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Xiaochun Cao
2023	A	`conf`	Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. INTERSPEECH Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue
2023	J	`jnl`	Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. CoRR Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue
2023	J	`jnl`	TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations. CoRR Gege Qi, Yuefeng Chen, Xiaofeng Mao, Yao Zhu, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue
2023	Misc	`conf`	Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations. ICASSP Gege Qi, Yuefeng Chen, Yao Zhu, Binyuan Hui, Xiaodan Li, Xiaofeng Mao, Rong Zhang, Hui Xue
2022	A*	`conf`	Boosting Out-of-distribution Detection with Typical Features. NeurIPS Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen
2022	J	`jnl`	Boosting Out-of-distribution Detection with Typical Features. CoRR Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen
2022	J	`jnl`	Context-Aware Robust Fine-Tuning. CoRR Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li
2022	Misc	`conf`	Emotionflow: Capture the Dialogue Level Emotion Transitions. ICASSP Xiaohui Song, Liangjun Zang, Rong Zhang, Songlin Hu, Longtao Huang
2022	A*	`conf`	Enhance the Visual Representation via Discrete Adversarial Training. NeurIPS Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue
2022	J	`jnl`	Enhance the Visual Representation via Discrete Adversarial Training. CoRR Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue
2022	J	`jnl`	Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. CoRR Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen
2022	—	`conf`	RoChBert: Towards Robust BERT Fine-tuning for Chinese. EMNLP (Findings) Zihan Zhang, Jinfeng Li, Ning Shi, Bo Yuan, Xiangyu Liu, Rong Zhang, Hui Xue, Donghong Sun, Chao Zhang
2022	J	`jnl`	RoChBert: Towards Robust BERT Fine-tuning for Chinese. CoRR Zihan Zhang, Jinfeng Li, Ning Shi, Bo Yuan, Xiangyu Liu, Rong Zhang, Hui Xue, Donghong Sun, Chao Zhang
2021	J	`jnl`	Enhancing Model Robustness By Incorporating Adversarial Knowledge Into Semantic Representation. CoRR Jinfeng Li, Tianyu Du, Xiangyu Liu, Rong Zhang, Hui Xue, Shouling Ji
2021	Misc	`conf`	Enhancing Model Robustness by Incorporating Adversarial Knowledge into Semantic Representation. ICASSP Jinfeng Li, Tianyu Du, Xiangyu Liu, Rong Zhang, Hui Xue, Shouling Ji
2020	A*	`conf`	SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. ACL He Zhao, Longtao Huang, Rong Zhang, Quan Lu, Hui Xue
2020	A*	`conf`	TextShield: Robust Text Classification Based on Multimodal Embedding and Neural Machine Translation. USENIX Security Symposium Jinfeng Li, Tianyu Du, Shouling Ji, Rong Zhang, Quan Lu, Min Yang, Ting Wang
2020	Misc	`conf`	The Open Brands Dataset: Unified Brand Detection and Recognition at Scale. ICASSP Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue
2020	J	`jnl`	The Open Brands Dataset: Unified brand detection and recognition at scale. CoRR Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue
2020	A*	`conf`	Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce. SIGIR Longtao Huang, Bo Yuan, Rong Zhang, Quan Lu
2019	J	`jnl`	Deep Features Analysis with Attention Networks. CoRR Shipeng Xie, Da Chen, Rong Zhang, Hui Xue
2019	J	`jnl`	Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. CoRR Feng Mao, Xiang Wu, Hui Xue, Rong Zhang
2018	—	`conf`	Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. ECCV Workshops (4) Feng Mao, Xiang Wu, Hui Xue, Rong Zhang