The Data Transfer Strategy Research on Distributed Mobile Environment. - Yanxin Xue; Xiaofeng Mao (GCC, 2008)

Multi-Robot Hunting in Dynamic Environments. - Zhiqiang Cao; Nong Gu; Min Tan 001; Saeid Nahavandi; Xiaofeng Mao; Zhenying Guan (Intell. Autom. Soft Comput., 2008)

Nonlinear Control Design for a Supercavitating Vehicle. - Xiaofeng Mao; Qian Wang 029 (IEEE Trans. Control. Syst. Technol., 2009)

Li-ion battery parameter estimation for state of charge. - Xidong Tang; Xiaofeng Mao; Jian Lin; Brian Koch (ACC, 2011)

Capacity estimation for Li-ion batteries. - Xidong Tang; Xiaofeng Mao; Jian Lin; Brian Koch (ACC, 2011)

On-line and dynamic estimation of Rician fading channels in GSM-R networks. - Yongsen Ma; Pengyuan Du; Xiaofeng Mao; Chengnian Long (WCSP, 2012)

Evaluation and Comparison of Mixed Effects Model Based Prognosis for Hard Failure. - Junbo Son; Qiang Zhou 002; Shiyu Zhou; Xiaofeng Mao; Mutasim Salman (IEEE Trans. Reliab., 2013)

Dynamic estimation of local mean power in GSM-R networks. - Yongsen Ma; Xiaofeng Mao; Pengyuan Du; Chengnian Long; Bo Li 001; Yueming Hu 001 (Wirel. Networks, 2014)

Semantic invariant cross-domain image generation with generative adversarial networks. - Xiaofeng Mao; Shuhui Wang; Liying Zheng; Qingming Huang (Neurocomputing, 2018)

Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks. - Xiaofeng Mao; Yuefeng Chen; Yuhong Li; Tao Xiong; Yuan He 011; Hui Xue 001 (ICASSP, 2019)

Self-Supervised Adversarial Training. - Kejiang Chen; Yuefeng Chen; Hang Zhou 007; Xiaofeng Mao; Yuhong Li; Yuan He 011; Hui Xue 001; Weiming Zhang 001; Nenghai Yu (ICASSP, 2020)

Learning to Characterize Adversarial Subspaces. - Xiaofeng Mao; Yuefeng Chen; Yuhong Li; Yuan He 011; Hui Xue 001 (ICASSP, 2020)

Sharp Multiple Instance Learning for DeepFake Video Detection. - Xiaodan Li; Yining Lang; Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Shuhui Wang; Hui Xue 001; Quan Lu (ACM Multimedia, 2020)

GAP++: Learning to generate target-conditioned adversarial examples. - Xiaofeng Mao; Yuefeng Chen; Yuhong Li; Yuan He 011; Hui Xue 001 (CoRR, 2020)

Composite Adversarial Attacks. - Xiaofeng Mao; Yuefeng Chen; Shuhui Wang; Hang Su 006; Yuan He 011; Hui Xue 001 (AAAI, 2021)

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. - Ranjie Duan; Xiaofeng Mao; A. Kai Qin; Yuefeng Chen; Shaokai Ye; Yuan He 011; Yun Yang 001 (CVPR, 2021)

Adversarial Examples Detection Beyond Image Space. - Kejiang Chen; Yuefeng Chen; Hang Zhou 007; Chuan Qin 003; Xiaofeng Mao; Weiming Zhang 001; Nenghai Yu (ICASSP, 2021)

Adversarial Attacks on ML Defense Models Competition. - Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang 001; Tianyu Pang; Hang Su 006; Jun Zhu 001; Jiayu Tang; Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Hui Xue 001; et al. (CoRR, 2021)

Unrestricted Adversarial Attacks on ImageNet Competition. - Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Hui Xue 001; Chao Li; Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang 001; Tianyu Pang; Hang Su 006; Jun Zhu 001; et al. (CoRR, 2021)

Multi-level Alignment Network for Domain Adaptive Cross-modal Retrieval. - Jianfeng Dong; Zhongzi Long; Xiaofeng Mao; Changting Lin; Yuan He 011; Shouling Ji (Neurocomputing, 2021)

Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning. - Jianfeng Dong; Zhe Ma 002; Xiaofeng Mao; Xun Yang 001; Yuan He 011; Richang Hong; Shouling Ji (IEEE Trans. Image Process., 2021)

Towards Robust Vision Transformer. - Xiaofeng Mao; Gege Qi; Yuefeng Chen; Xiaodan Li; Ranjie Duan; Shaokai Ye; Yuan He 011; Hui Xue 001 (CVPR, 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)

D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention. - Junyu Lin; Xiaofeng Mao; Yuefeng Chen; Lei Xu; Yuan He 011; Hui Xue 001 (CoRR, 2022)

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

Stratified attention dense network for image super-resolution. - Zhiwei Liu; Xiaofeng Mao; Ji Huang; Menghan Gan; Yueyuan Zhang (Signal Image Video Process., 2022)

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)

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)

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)

Learning Fine Pinch-Grasp Skills using Tactile Sensing from Real Demonstration Data. - Xiaofeng Mao; Yucheng Xu; Ruoshi Wen; Mohammadreza Kasaei 001; Wanming Yu; Efi Psomopoulou; Nathan F. Lepora; Zhibin Li 001 (CoRR, 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)

Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning. - Yao Zhu; Yuefeng Chen; Wei Wang 298; Xiaofeng Mao; Xiu Yan; Yue Wang; Zhigang Li 004; Wang Lu; Jindong Wang 001; Xiangyang Ji (CoRR, 2023)

Multilevel receptive field expansion network for small object detection. - Zhiwei Liu; Menghan Gan; Li Xiong 018; Xiaofeng Mao; Yue Que (IET Image Process., 2023)

Feature Fusion Based Adversarial Example Detection Against Second-Round Adversarial Attacks. - Chuan Qin 003; Yuefeng Chen; Kejiang Chen; Xiaoyi Dong; Weiming Zhang 001; Xiaofeng Mao; Yuan He 011; Nenghai Yu (IEEE Trans. Artif. Intell., 2023)

DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks. - Xiaofeng Mao; Gabriele Giudici; Claudio Coppola; Kaspar Althoefer; Ildar Farkhatdinov; Zhibin Li 001; Lorenzo Jamone (IROS, 2024)

Efficient Tactile Sensing-based Learning from Limited Real-world Demonstrations for Dual-arm Fine Pinch-Grasp Skills. - Xiaofeng Mao; Yucheng Xu; Ruoshi Wen; Mohammadreza Kasaei 001; Wanming Yu; Efi Psomopoulou; Nathan F. Lepora; Zhibin Li 001 (IROS, 2024)

MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion. - Chencan Fu; Yabiao Wang; Jiangning Zhang; Zhengkai Jiang 001; Xiaofeng Mao; Jiafu Wu; Weijian Cao; Chengjie Wang; Yanhao Ge; Yong Liu 007 (ACM Multimedia, 2024)

MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation. - Xiaofeng Mao; Zhengkai Jiang 001; Qilin Wang; Chencan Fu; Jiangning Zhang; Jiafu Wu; Yabiao Wang; Chengjie Wang; Wei Li 190; Mingmin Chi (ACM Multimedia, 2024)

S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models. - Xiaohan Yuan; Jinfeng Li; Dongxia Wang 002; Yuefeng Chen; Xiaofeng Mao; Longtao Huang; Hui Xue 001; Wenhai Wang; Kui Ren 001; Jingyi Wang 004 (CoRR, 2024)

VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis. - Hao Chen; Jiafu Wu; Ying Jin; Jinlong Peng; Xiaofeng Mao; Mingmin Chi; Mufeng Yao; Bo Peng; Jian Li 062; Yun Cao 002 (CoRR, 2024)

OSV: One Step is Enough for High-Quality Image to Video Generation. - Xiaofeng Mao; Zhengkai Jiang 001; Fu-Yun Wang; Wenbing Zhu; Jiangning Zhang; Hao Chen; Mingmin Chi; Yabiao Wang (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)

TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis. - Xiaorui Wu; Xiaofeng Mao; Fei Li; Xin Zhang; Xuanhong Li; Chong Teng; Donghong Ji; Zhuang Li (ACL (1), 2025)

ShieldHead: Decoding-time Safeguard for Large Language Models. - Zitao Xuan; Xiaofeng Mao; Da Chen; Xin Zhang; Yuhan Dong; Jun Zhou (ACL (Findings), 2025)

OSV: One Step is Enough for High-Quality Image to Video Generation. - Xiaofeng Mao; Zhengkai Jiang 001; Fu-Yun Wang; Jiangning Zhang; Hao Chen; Mingmin Chi; Yabiao Wang; Wenhan Luo (CVPR, 2025)

S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models. - Xiaohan Yuan; Jinfeng Li; Dongxia Wang 002; Yuefeng Chen; Xiaofeng Mao; Longtao Huang; Jialuo Chen; Hui Xue 001; Xiaoxia Liu; Wenhai Wang; Kui Ren 001; Jingyi Wang 004 (Proc. ACM Softw. Eng., 2025)

Dexterous Cable Manipulation: Taxonomy, Multi-Fingered Hand Design, and Long-Horizon Manipulation. - Zhaole Sun; Xiao Gao; Xiaofeng Mao; Jihong Zhu 002; Aude Billard; Robert B. Fisher (CoRR, 2025)

Learning Long-Horizon Robot Manipulation Skills via Privileged Action. - Xiaofeng Mao; Yucheng Xu; Zhaole Sun; Elle Miller; Daniel Layeghi; Michael N. Mistry (CoRR, 2025)

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)

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models. - Pengfei Zhou; Fanrui Zhang; Xiaopeng Peng 001; Zhaopan Xu; Jiaxin Ai; Yansheng Qiu; Chuanhao Li 001; Zhen Li 026; Ming Li; Yukang Feng; Jianwen Sun; Haoquan Zhang; et al. (CoRR, 2025)

EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions. - Xiaorui Wu; Xiaofeng Mao; Xin Zhang; Fei Li 021; Chong Teng; Yuxiang Peng; Li Zheng; Donghong Ji; Zhuang Li 001 (CoRR, 2025)

TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis. - Xiaorui Wu; Xiaofeng Mao; Fei Li 021; Xin Zhang; Xuanhong Li; Chong Teng; Donghong Ji; Zhuang Li 001 (CoRR, 2025)

Sekai: A Video Dataset towards World Exploration. - Zhen Li 026; Chuanhao Li 001; Xiaofeng Mao; Shaoheng Lin; Ming Li; Shitian Zhao; Zhaopan Xu; Xinyue Li 001; Yukang Feng; Jianwen Sun; Zizhen Li; Fanrui Zhang; et al. (CoRR, 2025)

Yume: An Interactive World Generation Model. - Xiaofeng Mao; Shaoheng Lin; Zhen Li 026; Chuanhao Li 001; Wenshuo Peng; Tong He 001; Jiangmiao Pang; Mingmin Chi; Yu Qiao 001; Kaipeng Zhang (CoRR, 2025)

Enhancing Few-Shot CLIP With Semantic-Aware Fine-Tuning. - Yao Zhu; Yuefeng Chen; Xiaofeng Mao; Xiu Yan; Yue Wang; Wang Lu; Jindong Wang 001; Xiangyang Ji (IEEE Trans. Neural Networks Learn. Syst., 2025)

MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary Exams. - Pengfei Zhou; Xiaopeng Peng 001; Fanrui Zhang; Zhaopan Xu; Jiaxin Ai; Yansheng Qiu; Chuanhao Li 001; Zhen Li 026; Ming Li; Yukang Feng; Jianwen Sun; Haoquan Zhang; et al. (CoRR, 2025)