Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. - Feng Mao; Xiang Wu 004; Hui Xue 001; Rong Zhang 006 (ECCV Workshops (4), 2018)

Deep Features Analysis with Attention Networks. - Shipeng Xie; Da Chen 003; Rong Zhang 006; Hui Xue 001 (CoRR, 2019)

SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. - He Zhao; Longtao Huang; Rong Zhang 006; Quan Lu; Hui Xue 001 (ACL, 2020)

The Open Brands Dataset: Unified Brand Detection and Recognition at Scale. - Xuan Jin; Wei Su; Rong Zhang 006; Yuan He 011; Hui Xue 001 (ICASSP, 2020)

Towards Linking Camouflaged Descriptions to Implicit Products in E-commerce. - Longtao Huang; Bo Yuan; Rong Zhang 006; Quan Lu (SIGIR, 2020)

TextShield: Robust Text Classification Based on Multimodal Embedding and Neural Machine Translation. - Jinfeng Li; Tianyu Du; Shouling Ji; Rong Zhang 006; Quan Lu; Min Yang 002; Ting Wang 006 (USENIX Security Symposium, 2020)

Enhancing Model Robustness by Incorporating Adversarial Knowledge into Semantic Representation. - Jinfeng Li; Tianyu Du; Xiangyu Liu; Rong Zhang 006; Hui Xue 001; Shouling Ji (ICASSP, 2021)

RoChBert: Towards Robust BERT Fine-tuning for Chinese. - Zihan Zhang; Jinfeng Li; Ning Shi; Bo Yuan; Xiangyu Liu; Rong Zhang 006; Hui Xue 001; Donghong Sun; Chao Zhang 008 (EMNLP (Findings), 2022)

Emotionflow: Capture the Dialogue Level Emotion Transitions. - Xiaohui Song; Liangjun Zang; Rong Zhang 006; Songlin Hu 001; Longtao Huang (ICASSP, 2022)

Enhance the Visual Representation via Discrete Adversarial Training. - Xiaofeng Mao; Yuefeng Chen; Ranjie Duan; Yao Zhu; Gege Qi; Shaokai Ye; Xiaodan Li; Rong Zhang 006; Hui Xue 001 (NeurIPS, 2022)

Boosting Out-of-distribution Detection with Typical Features. - Yao Zhu; Yuefeng Chen; Chuanlong Xie; Xiaodan Li; Rong Zhang 006; Hui Xue 001; Xiang Tian 002; Bolun Zheng; Yaowu Chen (NeurIPS, 2022)

Context-Aware Robust Fine-Tuning. - Xiaofeng Mao; Yuefeng Chen; Xiaojun Jia; Rong Zhang 006; Hui Xue 001; Zhao Li 007 (CoRR, 2022)

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. - Xiaodan Li; Yuefeng Chen; Yao Zhu; Shuhui Wang; Rong Zhang 006; Hui Xue 001 (CVPR, 2023)

Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations. - Gege Qi; Yuefeng Chen; Yao Zhu; Binyuan Hui; Xiaodan Li; Xiaofeng Mao; Rong Zhang 006; Hui Xue 001 (ICASSP, 2023)

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. - Xiaofeng Mao; Yuefeng Chen; Yao Zhu; Da Chen 003; Hang Su 006; Rong Zhang 006; Hui Xue 001 (ICCV, 2023)

Inequality phenomenon in l∞-adversarial training, and its unrealized threats. - Ranjie Duan; Yuefeng Chen; Yao Zhu; Xiaojun Jia; Rong Zhang 006; Hui Xue 001 (ICLR, 2023)

Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. - Gege Qi; Yuefeng Chen; Xiaofeng Mao; Xiaojun Jia; Ranjie Duan; Rong Zhang 006; Hui Xue 001 (INTERSPEECH, 2023)

FairRec: Fairness Testing for Deep Recommender Systems. - Huizhong Guo; Jinfeng Li; Jingyi Wang 004; Xiangyu Liu; Dongxia Wang 002; Zehong Hu; Rong Zhang 006; Hui Xue 001 (ISSTA, 2023)

Model Inversion Attack via Dynamic Memory Learning. - Gege Qi; Yuefeng Chen; Xiaofeng Mao; Binyuan Hui; Xiaodan Li; Rong Zhang 006; Hui Xue 001 (ACM Multimedia, 2023)

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. - Xiaojun Jia; Yuefeng Chen; Xiaofeng Mao; Ranjie Duan; Jindong Gu; Rong Zhang 006; Hui Xue 001; Xiaochun Cao (CoRR, 2023)

Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems. - Yao Zhu; Yuefeng Chen; Xiaodan Li; Rong Zhang 006; Xiang Tian 002; Bolun Zheng; Yaowu Chen (IEEE Trans. Inf. Forensics Secur., 2023)

fairBERTs: Erasing Sensitive Information Through Semantic and Fairness-aware Perturbations. - Jinfeng Li; Yuefeng Chen; Xiangyu Liu; Longtao Huang; Rong Zhang 006; Hui Xue 001 (CoRR, 2024)

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. - Xiaojun Jia; Yuefeng Chen; Xiaofeng Mao; Ranjie Duan; Jindong Gu; Rong Zhang 006; Hui Xue 001; Yang Liu 003; Xiaochun Cao (IEEE Trans. Inf. Forensics Secur., 2024)

Context-Aware Robust Fine-Tuning. - Xiaofeng Mao; Yufeng Chen; Xiaojun Jia; Rong Zhang 006; Hui Xue 001; Zhao Li 007 (Int. J. Comput. Vis., 2024)

Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. - Yao Zhu; Yuefeng Chen; Xiaodan Li; Rong Zhang 006; Hui Xue 001; Xiang Tian 002; Rongxin Jiang 001; Bolun Zheng; Yaowu Chen (Int. J. Comput. Vis., 2024)

EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision. - Xiaofeng Mao; Yuefeng Chen; Rong Zhang 006; Hui Xue 001; Zhao Li 007; Hang Su 006 (CoRR, 2025)