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Xiaofeng Mao
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2020 – today
- 2024
- [j12]Xiaofeng Mao, Yufeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li:
Context-Aware Robust Fine-Tuning. Int. J. Comput. Vis. 132(5): 1685-1700 (2024) - [j11]Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Yang Liu, Xiaochun Cao:
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. IEEE Trans. Inf. Forensics Secur. 19: 8125-8139 (2024) - [c19]Xiaofeng Mao, Zhengkai Jiang, Qilin Wang, Chencan Fu, Jiangning Zhang, Jiafu Wu, Yabiao Wang, Chengjie Wang, Wei Li, Mingmin Chi:
MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation. ACM Multimedia 2024: 3266-3274 - [c18]Chencan Fu, Yabiao Wang, Jiangning Zhang, Zhengkai Jiang, Xiaofeng Mao, Jiafu Wu, Weijian Cao, Chengjie Wang, Yanhao Ge, Yong Liu:
MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion. ACM Multimedia 2024: 10794-10803 - [i28]Xiaofeng Mao, Gabriele Giudici, Claudio Coppola, Kaspar Althoefer, Ildar Farkhatdinov, Zhibin Li, Lorenzo Jamone:
DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks. CoRR abs/2405.03476 (2024) - [i27]Xiaohan Yuan, Jinfeng Li, Dongxia Wang, Yuefeng Chen, Xiaofeng Mao, Longtao Huang, Hui Xue, Wenhai Wang, Kui Ren, Jingyi Wang:
S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models. CoRR abs/2405.14191 (2024) - [i26]Chencan Fu, Yabiao Wang, Jiangning Zhang, Zhengkai Jiang, Xiaofeng Mao, Jiafu Wu, Weijian Cao, Chengjie Wang, Yanhao Ge, Yong Liu:
MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion. CoRR abs/2407.19976 (2024) - [i25]Xiaofeng Mao, Zhengkai Jiang, Qilin Wang, Chencan Fu, Jiangning Zhang, Jiafu Wu, Yabiao Wang, Chengjie Wang, Wei Li, Mingmin Chi:
MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation. CoRR abs/2408.03312 (2024) - [i24]Hao Chen, Jiafu Wu, Ying Jin, Jinlong Peng, Xiaofeng Mao, Mingmin Chi, Mufeng Yao, Bo Peng, Jian Li, Yun Cao:
VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis. CoRR abs/2409.08207 (2024) - [i23]Xiaofeng Mao, Zhengkai Jiang, Fu-Yun Wang, Wenbing Zhu, Jiangning Zhang, Hao Chen, Mingmin Chi, Yabiao Wang:
OSV: One Step is Enough for High-Quality Image to Video Generation. CoRR abs/2409.11367 (2024) - 2023
- [j10]Zhiwei Liu, Menghan Gan, Li Xiong, Xiaofeng Mao, Yue Que:
Multilevel receptive field expansion network for small object detection. IET Image Process. 17(8): 2385-2398 (2023) - [j9]Chuan Qin, Yuefeng Chen, Kejiang Chen, Xiaoyi Dong, Weiming Zhang, Xiaofeng Mao, Yuan He, Nenghai Yu:
Feature Fusion Based Adversarial Example Detection Against Second-Round Adversarial Attacks. IEEE Trans. Artif. Intell. 4(5): 1029-1040 (2023) - [c17]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 - [c16]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 - [c15]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 - [c14]Gege Qi, Yuefeng Chen, Xiaofeng Mao, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue:
Model Inversion Attack via Dynamic Memory Learning. ACM Multimedia 2023: 5614-5622 - [i22]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) - [i21]Xiaofeng Mao, Yucheng Xu, Ruoshi Wen, Mohammadreza Kasaei, Wanming Yu, Efi Psomopoulou, Nathan F. Lepora, Zhibin Li:
Learning Fine Pinch-Grasp Skills using Tactile Sensing from Real Demonstration Data. CoRR abs/2307.04619 (2023) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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
- [j8]Zhiwei Liu, Xiaofeng Mao, Ji Huang, Menghan Gan, Yueyuan Zhang:
Stratified attention dense network for image super-resolution. Signal Image Video Process. 16(3): 715-722 (2022) - [c13]Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue:
Towards Robust Vision Transformer. CVPR 2022: 12032-12041 - [c12]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 - [i15]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) - [i14]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) - [i13]Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li:
Context-Aware Robust Fine-Tuning. CoRR abs/2211.16175 (2022) - 2021
- [j7]Jianfeng Dong, Zhongzi Long, Xiaofeng Mao, Changting Lin, Yuan He, Shouling Ji:
Multi-level Alignment Network for Domain Adaptive Cross-modal Retrieval. Neurocomputing 440: 207-219 (2021) - [j6]Jianfeng Dong, Zhe Ma, Xiaofeng Mao, Xun Yang, Yuan He, Richang Hong, Shouling Ji:
Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning. IEEE Trans. Image Process. 30: 8410-8425 (2021) - [c11]Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue:
Composite Adversarial Attacks. AAAI 2021: 8884-8892 - [c10]Ranjie Duan, Xiaofeng Mao, A. Kai Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang:
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CVPR 2021: 16062-16071 - [c9]Kejiang Chen, Yuefeng Chen, Hang Zhou, Chuan Qin, Xiaofeng Mao, Weiming Zhang, Nenghai Yu:
Adversarial Examples Detection Beyond Image Space. ICASSP 2021: 3850-3854 - [i12]Kejiang Chen, Yuefeng Chen, Hang Zhou, Chuan Qin, Xiaofeng Mao, Weiming Zhang, Nenghai Yu:
Adversarial Examples Detection beyond Image Space. CoRR abs/2102.11586 (2021) - [i11]Ranjie Duan, Xiaofeng Mao, A. Kai Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He:
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. CoRR abs/2103.06504 (2021) - [i10]Jianfeng Dong, Zhe Ma, Xiaofeng Mao, Xun Yang, Yuan He, Richang Hong, Shouling Ji:
Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning. CoRR abs/2104.02429 (2021) - [i9]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) - [i8]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) - [i7]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
- [c8]Kejiang Chen, Yuefeng Chen, Hang Zhou, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu:
Self-Supervised Adversarial Training. ICASSP 2020: 2218-2222 - [c7]Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue:
Learning to Characterize Adversarial Subspaces. ICASSP 2020: 2438-2442 - [c6]Xiaodan Li, Yining Lang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Shuhui Wang, Hui Xue, Quan Lu:
Sharp Multiple Instance Learning for DeepFake Video Detection. ACM Multimedia 2020: 1864-1872 - [i6]Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue:
GAP++: Learning to generate target-conditioned adversarial examples. CoRR abs/2006.05097 (2020) - [i5]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) - [i4]Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue:
Composite Adversarial Attacks. CoRR abs/2012.05434 (2020)
2010 – 2019
- 2019
- [c5]Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Tao Xiong, Yuan He, Hui Xue:
Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks. ICASSP 2019: 2047-2051 - [i3]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) - [i2]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) - [i1]Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue:
Learning To Characterize Adversarial Subspaces. CoRR abs/1911.06587 (2019) - 2018
- [j5]Xiaofeng Mao, Shuhui Wang, Liying Zheng, Qingming Huang:
Semantic invariant cross-domain image generation with generative adversarial networks. Neurocomputing 293: 55-63 (2018) - 2014
- [j4]Yongsen Ma, Xiaofeng Mao, Pengyuan Du, Chengnian Long, Bo Li, Yueming Hu:
Dynamic estimation of local mean power in GSM-R networks. Wirel. Networks 20(2): 289-302 (2014) - 2013
- [j3]Junbo Son, Qiang Zhou, Shiyu Zhou, Xiaofeng Mao, Mutasim Salman:
Evaluation and Comparison of Mixed Effects Model Based Prognosis for Hard Failure. IEEE Trans. Reliab. 62(2): 379-394 (2013) - 2012
- [c4]Yongsen Ma, Pengyuan Du, Xiaofeng Mao, Chengnian Long:
On-line and dynamic estimation of Rician fading channels in GSM-R networks. WCSP 2012: 1-6 - 2011
- [c3]Xidong Tang, Xiaofeng Mao, Jian Lin, Brian Koch:
Li-ion battery parameter estimation for state of charge. ACC 2011: 941-946 - [c2]Xidong Tang, Xiaofeng Mao, Jian Lin, Brian Koch:
Capacity estimation for Li-ion batteries. ACC 2011: 947-952
2000 – 2009
- 2009
- [j2]Xiaofeng Mao, Qian Wang:
Nonlinear Control Design for a Supercavitating Vehicle. IEEE Trans. Control. Syst. Technol. 17(4): 816-832 (2009) - 2008
- [j1]Zhiqiang Cao, Nong Gu, Min Tan, Saeid Nahavandi, Xiaofeng Mao, Zhenying Guan:
Multi-Robot Hunting in Dynamic Environments. Intell. Autom. Soft Comput. 14(1): 61-72 (2008) - [c1]Yanxin Xue, Xiaofeng Mao:
The Data Transfer Strategy Research on Distributed Mobile Environment. GCC 2008: 421-426
Coauthor Index
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last updated on 2024-11-15 20:40 CET by the dblp team
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