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Hui Xue 0001
Person information
- affiliation: Alibaba Group, Beijing, China
Other persons with the same name
- Hui Xue — disambiguation page
- Hui Xue 0002
— Southeast University, Nanjing, China
- Hui Xue 0003 — UC Berkeley, Berkeley, CA, USA (and 1 more)
- Hui Xue 0004
- Hui Xue 0005
- Hui Xue 0006 — National Institutes of Health, Bethesda, MD, USA (and 1 more)
- Hui Xue 0007 — University of Illinois at Urbana-Champaign, Urbana, IL, USA
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2020 – today
- 2024
- [j6]Xiaofeng Mao
Context-Aware Robust Fine-Tuning. Int. J. Comput. Vis. 132(5): 1685-1700 (2024) - [j5]Yao Zhu
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. Int. J. Comput. Vis. 132(10): 4633-4650 (2024) - [j4]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) - [c59]Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang:
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. ACL (Short Papers) 2024: 120-126 - [c58]Dongyang Li, Taolin Zhang, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning. LREC/COLING 2024: 9693-9704 - [c57]Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang, Longtao Huang, Hui Xue:
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. LREC/COLING 2024: 16790-16801 - [c56]Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. LREC/COLING 2024: 17062-17073 - [c55]Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding:
One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. CVPR 2024: 7559-7568 - [c54]Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang:
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models. ECAI 2024: 2314-2321 - [c53]Yipeng Zhang
Large Language Model with Curriculum Reasoning for Visual Concept Recognition. KDD 2024: 6269-6280 - [c52]Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen:
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. WACV 2024: 2908-2918 - [i54]Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu:
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. CoRR abs/2403.05026 (2024) - [i53]Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Longtao Huang, Hui Xue, Wei Zhang:
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. CoRR abs/2403.11203 (2024) - [i52]Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue:
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning. CoRR abs/2405.03279 (2024) - [i51]Xiaohan Yuan
S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models. CoRR abs/2405.14191 (2024) - [i50]Taolin Zhang, Qizhou Chen, Dongyang Li, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang:
DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models. CoRR abs/2405.20588 (2024) - [i49]Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang:
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. CoRR abs/2406.16367 (2024) - [i48]Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. CoRR abs/2406.16372 (2024) - [i47]Dongyang Li, Taolin Zhang, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue:
KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning. CoRR abs/2406.16374 (2024) - [i46]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
- [j3]Yichi Zhang
To make yourself invisible with Adversarial Semantic Contours. Comput. Vis. Image Underst. 230: 103659 (2023) - [c51]Ruixiang Tang
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. ACL (Findings) 2023: 4645-4657 - [c50]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. ACL (Findings) 2023: 9607-9632 - [c49]Yixin Ren
Incremental Graph Classification by Class Prototype Construction and Augmentation. CIKM 2023: 2136-2145 - [c48]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 - [c47]Ting Ma, Longtao Huang, Hui Xue:
Improving Hyper-relational Knowledge Graph Representation with Multi-grained Encoding. DASFAA (2) 2023: 758-767 - [c46]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 - [c45]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 - [c44]Jiong Wang, Huiming Zhang, Haiwen Hong, Xuan Jin, Yuan He, Hui Xue, Zhou Zhao:
Open-Vocabulary Object Detection With an Open Corpus. ICCV 2023: 6736-6746 - [c43]Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue:
Inequality phenomenon in l∞-adversarial training, and its unrealized threats. ICLR 2023 - [c42]Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang:
Budgeted Training for Vision Transformer. ICLR 2023 - [c41]Xianliang Huang, Yining Lang, Ying Guo, Yuan He, Hui Xue, Li Zhao, Shuigeng Zhou:
DR-Net: A Multi-View Face Synthesis Network Driven by Dual Representation. ICME 2023: 1751-1756 - [c40]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 - [c39]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 - [c38]Gege Qi
Model Inversion Attack via Dynamic Memory Learning. ACM Multimedia 2023: 5614-5622 - [c37]Honggu Liu
BiFPro: A Bidirectional Facial-data Protection Framework against DeepFake. ACM Multimedia 2023: 7075-7084 - [c36]Maosen Li
Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection. ACM Multimedia 2023: 8707-8718 - [c35]Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue, Haoyang Li, Wenwu Zhu:
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. NeurIPS 2023 - [c34]Xin Wang
Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization. WWW 2023: 1519-1527 - [i45]Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng:
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking. CoRR abs/2302.14301 (2023) - [i44]Chang Liu, Wenzhao Xiang, Yuan He, Hui Xue, Shibao Zheng, Hang Su:
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain. CoRR abs/2302.14302 (2023) - [i43]Yichi Zhang, Zijian Zhu, Hang Su, Jun Zhu, Shibao Zheng, Yuan He, Hui Xue:
To Make Yourself Invisible with Adversarial Semantic Contours. CoRR abs/2303.00284 (2023) - [i42]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) - [i41]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) - [i40]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) - [i39]Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue:
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. CoRR abs/2305.17256 (2023) - [i38]Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji:
From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. CoRR abs/2305.18503 (2023) - [i37]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) - [i36]Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. CoRR abs/2307.12730 (2023) - [i35]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) - [i34]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) - [i33]Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding:
One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. CoRR abs/2312.16145 (2023) - 2022
- [j2]Zhe Xu
HiSA: Hierarchically Semantic Associating for Video Temporal Grounding. IEEE Trans. Image Process. 31: 5178-5188 (2022) - [c33]Xiaofeng Mao
Towards Robust Vision Transformer. CVPR 2022: 12032-12041 - [c32]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 - [c31]Xiaohui Song, Longtao Huang, Hui Xue, Songlin Hu
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation. EMNLP 2022: 5197-5206 - [c30]Jiexi Liu, Dehan Kong, Longtao Huang, Dinghui Mao, Hui Xue:
Multiple Instance Learning for Offensive Language Detection. EMNLP (Findings) 2022: 7387-7396 - [c29]Xiyang Liu, Peng Li, Ding Ni, Yan Wang, Hui Xue:
LightPose: A Lightweight and Efficient Model with Transformer for Human Pose Estimation. ICASSP 2022: 2674-2678 - [c28]Zehan Chen, Xuan Jin, Yuan He, Hui Xue:
MAKD: MULTIPLE Auxiliary Knowledge Distillation. ICASSP 2022: 4123-4127 - [c27]Qilong Zhang, Xiaodan Li, Yuefeng Chen, Jingkuan Song, Lianli Gao, Yuan He, Hui Xue:
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains. ICLR 2022 - [c26]Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue:
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition. ICME 2022: 1-6 - [c25]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 - [c24]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 - [i32]Qilong Zhang, Xiaodan Li, Yuefeng Chen, Jingkuan Song, Lianli Gao, Yuan He, Hui Xue:
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains. CoRR abs/2201.11528 (2022) - [i31]Yimu Wang, Kun Yu, Yan Wang, Hui Xue:
Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition. CoRR abs/2202.12949 (2022) - [i30]Junyu Lin, Xiaofeng Mao, Yuefeng Chen, Lei Xu, Yuan He, Hui Xue:
D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention. CoRR abs/2203.00860 (2022) - [i29]Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Feihu Yan, Yuan He, Hui Xue:
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition. CoRR abs/2204.10731 (2022) - [i28]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) - [i27]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) - [i26]Xiaohui Song, Longtao Huang, Hui Xue, Songlin Hu:
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation. CoRR abs/2210.08713 (2022) - [i25]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) - [i24]Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen:
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. CoRR abs/2211.10950 (2022) - [i23]Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li:
Context-Aware Robust Fine-Tuning. CoRR abs/2211.16175 (2022) - [i22]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
- [j1]Mengyi Liu
Pano-SfMLearner: Self-Supervised Multi-Task Learning of Depth and Semantics in Panoramic Videos. IEEE Signal Process. Lett. 28: 832-836 (2021) - [c23]Xiaofeng Mao
Composite Adversarial Attacks. AAAI 2021: 8884-8892 - [c22]Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu:
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain. CVPR 2021: 772-781 - [c21]Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue:
QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval. CVPR 2021: 3330-3339 - [c20]Da Chen
Self-Supervised Learning for Few-Shot Image Classification. ICASSP 2021: 1745-1749 - [c19]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 - [c18]Xiao Yang, Yinpeng Dong, Tianyu Pang
Towards Face Encryption by Generating Adversarial Identity Masks. ICCV 2021: 3877-3887 - [c17]Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue:
RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition. ACM Multimedia 2021: 4239-4248 - [c16]Haiwen Hong, Xuan Jin, Yin Zhang, Yunqing Hu, Jingfeng Zhang, Yuan He, Hui Xue:
DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework. ACM Multimedia 2021: 5591-5599 - [i21]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) - [i20]Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu:
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain. CoRR abs/2103.01856 (2021) - [i19]Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue:
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval. CoRR abs/2103.02927 (2021) - [i18]Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue:
Towards Robust Vision Transformer. CoRR abs/2105.07926 (2021) - [i17]Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang, Yuan He, Hui Xue:
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition. CoRR abs/2107.08192 (2021) - [i16]Haiwen Hong, Xuan Jin, Yin Zhang, Yunqing Hu, Jingfeng Zhang, Yuan He, Hui Xue:
DRDF: Determining the Importance of Different Multimodal Information with Dual-Router Dynamic Framework. CoRR abs/2107.09909 (2021) - [i15]Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen:
Adversarial Attacks on ML Defense Models Competition. CoRR abs/2110.08042 (2021) - [i14]Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang:
Unrestricted Adversarial Attacks on ImageNet Competition. CoRR abs/2110.09903 (2021) - 2020
- [c15]Zhe Ma
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network. AAAI 2020: 11741-11748 - [c14]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 - [c13]Yining Lang, Yuan He, Fan Yang, Jianfeng Dong, Hui Xue:
Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection. CVPR 2020: 2592-2601 - [c12]Pengfei Sun
A Visual Inductive Priors Framework for Data-Efficient Image Classification. ECCV Workshops (2) 2020: 511-520 - [c11]Yining Lang, Yuan He, Jianfeng Dong, Fan Yang, Hui Xue:
Design-Gan: Cross-Category Fashion Translation Driven By Landmark Attention. ICASSP 2020: 1968-1972 - [c10]Kejiang Chen
Self-Supervised Adversarial Training. ICASSP 2020: 2218-2222 - [c9]Da Chen
Hierarchical Sequence Representation with Graph Network. ICASSP 2020: 2288-2292 - [c8]Xiaofeng Mao
Learning to Characterize Adversarial Subspaces. ICASSP 2020: 2438-2442 - [c7]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 - [c6]Yibing Ma, Xuetao Feng, Jile Jiao, Zhongdong Peng, Shenger Qian, Hui Xue, Hua Li:
Smart Fire Alarm System with Person Detection and Thermal Camera. ICCS (7) 2020: 353-366 - [c5]Xiaodan Li, Yining Lang, Yuefeng Chen, Xiaofeng Mao
Sharp Multiple Instance Learning for DeepFake Video Detection. ACM Multimedia 2020: 1864-1872 - [c4]Xurong Li, Kun Yu, Shouling Ji, Yan Wang, Chunming Wu, Hui Xue:
Fighting Against Deepfake: Patch&Pair Convolutional Neural Networks (PPCNN). WWW (Companion Volume) 2020: 88-89 - [i13]Zhe Ma, Jianfeng Dong, Yao Zhang, Zhongzi Long, Yuan He, Hui Xue, Shouling Ji:
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network. CoRR abs/2002.02814 (2020) - [i12]Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue:
GAP++: Learning to generate target-conditioned adversarial examples. CoRR abs/2006.05097 (2020) - [i11]Xiaodan Li, Yining Lang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Shuhui Wang, Hui Xue, Quan Lu:
Sharp Multiple Instance Learning for DeepFake Video Detection. CoRR abs/2008.04585 (2020) - [i10]Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue:
Composite Adversarial Attacks. CoRR abs/2012.05434 (2020) - [i9]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
- [c3]Xiaofeng Mao
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks. ICASSP 2019: 2047-2051 - [c2]Xiang Wu, Da Chen, Yuan He, Hui Xue, Mingli Song, Feng Mao:
Hybrid Sequence Encoder for Text Based Video Retrieval. TRECVID 2019 - [i8]Shipeng Xie, Da Chen, Rong Zhang, Hui Xue:
Deep Features Analysis with Attention Networks. CoRR abs/1901.10042 (2019) - [i7]Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Tao Xiong, Yuan He, Hui Xue:
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks. CoRR abs/1903.07499 (2019) - [i6]Feng Mao, Xiang Wu, Hui Xue, Rong Zhang:
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. CoRR abs/1906.00377 (2019) - [i5]Da Chen, Yuefeng Chen, Yuhong Li, Feng Mao, Yuan He, Hui Xue:
Self-Supervised Learning For Few-Shot Image Classification. CoRR abs/1911.06045 (2019) - [i4]Kejiang Chen, Hang Zhou, Yuefeng Chen, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu:
Self-supervised Adversarial Training. CoRR abs/1911.06470 (2019) - [i3]Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue:
Learning To Characterize Adversarial Subspaces. CoRR abs/1911.06587 (2019) - [i2]Xiaodan Li, Yuefeng Chen, Yuan He, Hui Xue:
AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients. CoRR abs/1911.06591 (2019) - [i1]Da Chen, Feng Mao, Mingli Song, Yuan He, Xiang Wu, Jinqiao Wang, Wenbin Li, Yongliang Yang, Hui Xue:
Class Regularization: Improve Few-shot Image Classification by Reducing Meta Shift. CoRR abs/1912.08395 (2019) - 2018
- [c1]Feng Mao
Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. ECCV Workshops (4) 2018: 262-270
Coauthor Index
[c55] [j3] [c44] [c42] [c41] [c37] [i45] [i44] [i43] [i33] [c33] [c28] [c27] [c26] [i32] [i30] [i29] [j1] [c23] [c22] [c21] [c20] [c17] [c16] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [c15] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c5] [i13] [i12] [i11] [i10] [i9] [c3] [c2] [i7] [i5] [i4] [i3] [i2] [i1]
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last updated on 2024-11-15 20:42 CET by the dblp team
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