Baoyuan Wu - RankMe

238 papers A* 54A 3B 3C 3Misc 3Journal 155Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attacks in Adversarial Machine Learning: A Systematic Survey from the Lifecycle Perspective. Int. J. Comput. Vis. Baoyuan Wu, Zihao Zhu, Li Liu, Qingshan Liu, Zhaofeng He, Siwei Lyu
2026	J	`jnl`	BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation. CoRR Zihao Zhu, Ruotong Wang, Siwei Lyu, Min Zhang, Baoyuan Wu
2026	J	`jnl`	Data-Driven Study on Why Wrist Pulse Can Assess Health Conditions. IEEE J. Biomed. Health Informatics Chaoxun Guo, Shicheng Dai, Chenglong Zhang, Zhixing Jiang, Baoyuan Wu, David Zhang
2026	J	`jnl`	Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Baoyuan Wu, Mingli Zhu, Meixi Zheng, Zihao Zhu, Shaokui Wei, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu
2026	—	`book`	Facial Beauty Analysis - Computational Aesthetics David Zhang, Yuan Xie, Tianhao Peng, Baoyuan Wu
2026	J	`jnl`	FauForensics: Boosting Audio-Visual Deepfake Detection With Facial Action Units. IEEE Trans. Inf. Forensics Secur. Jian Wang, Baoyuan Wu, Li Liu, Qingshan Liu
2026	J	`jnl`	Task-Distributionally Robust Data-Free Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
2026	J	`jnl`	Unveiling Covert Toxicity in Multimodal Data via Toxicity Association Graphs: A Graph-Based Metric and Interpretable Detection Framework. CoRR Guanzong Wu, Zihao Zhu, Siwei Lyu, Baoyuan Wu
2026	J	`jnl`	Versatile Backdoor Attack With Visible, Semantic, Sample-Specific and Compatible Triggers. IEEE Trans. Pattern Anal. Mach. Intell. Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Baoyuan Wu
2026	J	`jnl`	WPDA: frequency-based backdoor attack with wavelet packet decomposition. Neural Networks Zhengyao Song, Yongqiang Li, Danni Yuan, Li Liu, Shaokui Wei, Baoyuan Wu
2025	A*	`conf`	Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. ICLR Danni Yuan, Mingda Zhang, Shaokui Wei, Li Liu, Baoyuan Wu
2025	J	`jnl`	AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models. CoRR Zihao Zhu, Xinyu Wu, Gehan Hu, Siwei Lyu, Ke Xu, Baoyuan Wu
2025	J	`jnl`	BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. Int. J. Comput. Vis. Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen
2025	J	`jnl`	BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation. CoRR Ruotong Wang, Mingli Zhu, Jiarong Ou, Rui Chen, Xin Tao, Pengfei Wan, Baoyuan Wu
2025	J	`jnl`	BlackboxBench: A Comprehensive Benchmark of Black-Box Adversarial Attacks. IEEE Trans. Pattern Anal. Mach. Intell. Meixi Zheng, Xuanchen Yan, Zihao Zhu, Hongrui Chen, Baoyuan Wu
2025	J	`jnl`	BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack. CoRR Zihao Zhu, Hongbao Zhang, Mingda Zhang, Ruotong Wang, Guanzong Wu, Ke Xu, Baoyuan Wu
2025	J	`jnl`	BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation. CoRR Haiquan Wen, Yiwei He, Zhenglin Huang, Tianxiao Li, Zihan Yu, Xingru Huang, Lu Qi, Baoyuan Wu, Xiangtai Li, Guangliang Cheng
2025	A*	`conf`	C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. AAAI Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei
2025	J	`jnl`	Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features. CoRR Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2025	J	`jnl`	DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection. CoRR Kangran Zhao, Yupeng Chen, Xiaoyu Zhang, Yize Chen, Weinan Guan, Baicheng Chen, Chengzhe Sun, Soumyya Kanti Datta, Qingshan Liu, Siwei Lyu, Baoyuan Wu
2025	J	`jnl`	FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units. CoRR Jian Wang, Baoyuan Wu, Li Liu, Qingshan Liu
2025	J	`jnl`	Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection. IEEE Trans. Dependable Secur. Comput. Delong Zhu, Yuezun Li, Baoyuan Wu, Jiaran Zhou, Zhibo Wang, Siwei Lyu
2025	J	`jnl`	Hierarchical Fuzzy Stochastic Configuration Network Based on Canonical Correlation Analysis for Multiview Pulse Signal Fusion. IEEE Trans. Fuzzy Syst. Shicheng Dai, Chenglong Zhang, Chaoxun Guo, Baoyuan Wu, David Zhang
2025	—	`conf`	MorphMark: Flexible Adaptive Watermarking for Large Language Models. ACL (1) Zongqi Wang, Tianle Gu, Baoyuan Wu, Yujiu Yang
2025	J	`jnl`	MorphMark: Flexible Adaptive Watermarking for Large Language Models. CoRR Zongqi Wang, Tianle Gu, Baoyuan Wu, Yujiu Yang
2025	A*	`conf`	Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection. ICML Zhiyuan Yan, Jiangming Wang, Peng Jin, Ke-Yue Zhang, Chengchun Liu, Shen Chen, Taiping Yao, Shouhong Ding, Baoyuan Wu, Li Yuan
2025	A*	`conf`	RAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection. ACM Multimedia Tianxiao Li, Zhenglin Huang, Haiquan Wen, Yiwei He, Shuchang Lyu, Baoyuan Wu, Guangliang Cheng
2025	J	`jnl`	RAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection. CoRR Tianxiao Li, Zhenglin Huang, Haiquan Wen, Yiwei He, Shuchang Lyu, Baoyuan Wu, Guangliang Cheng
2025	Misc	`conf`	Reliable Imputed-Sample Assisted Vertical Federated Learning. ICASSP Yaopei Zeng, Lei Liu, Shaoguo Liu, Hongjian Dou, Baoyuan Wu, Li Liu
2025	J	`jnl`	Reliable Imputed-Sample Assisted Vertical Federated Learning. CoRR Yaopei Zeng, Lei Liu, Shaoguo Liu, Hongjian Dou, Baoyuan Wu, Li Liu
2025	—	`conf`	Robust and Minimally Invasive Watermarking for EaaS. ACL (Findings) Zongqi Wang, Baoyuan Wu, Jingyuan Deng, Yujiu Yang
2025	A*	`conf`	SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model. CVPR Zhenglin Huang, Jinwei Hu, Xiangtai Li, Yiwei He, Xingyu Zhao, Bei Peng, Baoyuan Wu, Xiaowei Huang, Guangliang Cheng
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model Safety. CoRR Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety. Found. Trends Priv. Secur. Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhao Zhao, Hanxun Huang, Yige Li, Yutao Wu, Jiaming Zhang, Xiang Zheng, Yang Bai, Yiming Li, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Xudong Han, Haonan Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025	J	`jnl`	Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation. CoRR Meixi Zheng, Kehan Wu, Yanbo Fan, Rui Huang, Baoyuan Wu
2025	J	`jnl`	Self-Supervised AI-Generated Image Detection: A Camera Metadata Perspective. CoRR Nan Zhong, Mian Zou, Yiran Xu, Zhenxing Qian, Xinpeng Zhang, Baoyuan Wu, Kede Ma
2025	A*	`conf`	Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. AAAI Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2025	A	`conf`	Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection. WACV Yunfei Li, Yuezun Li, Xin Wang, Baoyuan Wu, Jiaran Zhou, Junyu Dong
2025	J	`jnl`	Towards Explainable Bilingual Multimodal Misinformation Detection and Localization. CoRR Yiwei He, Xiangtai Li, Zhenglin Huang, Yi Dong, Hao Fei, Jiangning Zhang, Baoyuan Wu, Guangliang Cheng
2024	J	`jnl`	BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. CoRR Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Mingli Zhu, Ruotong Wang, Li Liu, Chao Shen
2024	A*	`conf`	BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. CVPR Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang
2024	A*	`conf`	Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. NeurIPS Mingli Zhu, Siyuan Liang, Baoyuan Wu
2024	J	`jnl`	Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. CoRR Mingli Zhu, Siyuan Liang, Baoyuan Wu
2024	J	`jnl`	C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. CoRR Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei
2024	—	`conf`	Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics. CVPR Workshops Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu
2024	J	`jnl`	Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics. CoRR Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu
2024	J	`jnl`	Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection. CoRR Chuangchuang Tan, Ping Liu, Renshuai Tao, Huan Liu, Yao Zhao, Baoyuan Wu, Yunchao Wei
2024	A*	`conf`	Decentralized Directed Collaboration for Personalized Federated Learning. CVPR Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen
2024	J	`jnl`	Decentralized Directed Collaboration for Personalized Federated Learning. CoRR Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen
2024	J	`jnl`	ESpeW: Robust Copyright Protection for LLM-based EaaS via Embedding-Specific Watermark. CoRR Zongqi Wang, Baoyuan Wu, Jingyuan Deng, Yujiu Yang
2024	J	`jnl`	Effort: Efficient Orthogonal Modeling for Generalizable AI-Generated Image Detection. CoRR Zhiyuan Yan, Jiangming Wang, Zhendong Wang, Peng Jin, Ke-Yue Zhang, Shen Chen, Taiping Yao, Shouhong Ding, Baoyuan Wu, Li Yuan
2024	J	`jnl`	Enhanced Few-Shot Class-Incremental Learning via Ensemble Models. CoRR Mingli Zhu, Zihao Zhu, Sihong Chen, Chen Chen, Baoyuan Wu
2024	A	`conf`	Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing. ICME Zhenzhe Gao, Zhenjun Tang, Zhaoxia Yin, Baoyuan Wu, Yue Lu
2024	J	`jnl`	Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing. CoRR Zhenzhe Gao, Zhenjun Tang, Zhaoxia Yin, Baoyuan Wu, Yue Lu
2024	A*	`conf`	FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge. NeurIPS Hanzhe Li, Jiaran Zhou, Yuezun Li, Baoyuan Wu, Bin Li, Junyu Dong
2024	J	`jnl`	Generalizable Black-Box Adversarial Attack With Meta Learning. IEEE Trans. Pattern Anal. Mach. Intell. Fei Yin, Yong Zhang, Baoyuan Wu, Yan Feng, Jingyi Zhang, Yanbo Fan, Yujiu Yang
2024	J	`jnl`	HGAIQA: A Novel Hand-Geometry-Aware Image Quality Assessment Framework for Contactless Palmprint Recognition. IEEE Trans. Instrum. Meas. Chunsheng Zhang, Xu Liang, Dandan Fan, Junan Chen, Bob Zhang, Baoyuan Wu, David Zhang
2024	J	`jnl`	HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing. CoRR Zihao Zhu, Hongbao Zhang, Guanzong Wu, Siwei Lyu, Baoyuan Wu
2024	J	`jnl`	Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection. CoRR Delong Zhu, Yuezun Li, Baoyuan Wu, Jiaran Zhou, Zhibo Wang, Siwei Lyu
2024	J	`jnl`	Imperceptible and Robust Backdoor Attack in 3D Point Cloud. IEEE Trans. Inf. Forensics Secur. Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia
2024	J	`jnl`	Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2024	J	`jnl`	Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2024	A*	`conf`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu
2024	A*	`conf`	Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. NeurIPS Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2024	J	`jnl`	Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. CoRR Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2024	J	`jnl`	Regional Adversarial Training for Better Robust Generalization. Int. J. Comput. Vis. Chuanbiao Song, Yanbo Fan, Aoyang Zhou, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He
2024	J	`jnl`	Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization. CoRR Mingda Zhang, Mingli Zhu, Zihao Zhu, Baoyuan Wu
2024	J	`jnl`	RiskAwareBench: Towards Evaluating Physical Risk Awareness for High-level Planning of LLM-based Embodied Agents. CoRR Zihao Zhu, Bingzhe Wu, Zhengyou Zhang, Baoyuan Wu
2024	J	`jnl`	Robust and Generalized Physical Adversarial Attacks via Meta-GAN. IEEE Trans. Inf. Forensics Secur. Weiwei Feng, Nanqing Xu, Tianzhu Zhang, Baoyuan Wu, Yongdong Zhang
2024	J	`jnl`	SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model. CoRR Zhenglin Huang, Jinwei Hu, Xiangtai Li, Yiwei He, Xingyu Zhao, Bei Peng, Baoyuan Wu, Xiaowei Huang, Guangliang Cheng
2024	A*	`conf`	Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. CVPR Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu
2024	A*	`conf`	VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. ICLR Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu
2024	J	`jnl`	Video-Based Martial Arts Combat Action Recognition and Position Detection Using Deep Learning. IEEE Access Baoyuan Wu, Jiali Zhou
2024	J	`jnl`	Visual Prompt Based Personalized Federated Learning. Trans. Mach. Learn. Res. Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao
2024	J	`jnl`	WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition. CoRR Zhengyao Song, Yongqiang Li, Danni Yuan, Li Liu, Shaokui Wei, Baoyuan Wu
2023	J	`jnl`	Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. CoRR Danni Yuan, Shaokui Wei, Mingda Zhang, Li Liu, Baoyuan Wu
2023	J	`jnl`	Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example. CoRR Baoyuan Wu, Li Liu, Zihao Zhu, Qingshan Liu, Zhaofeng He, Siwei Lyu
2023	J	`jnl`	BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks. CoRR Meixi Zheng, Xuanchen Yan, Zihao Zhu, Hongrui Chen, Baoyuan Wu
2023	J	`jnl`	Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. CoRR Zihao Zhu, Mingda Zhang, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
2023	A*	`conf`	DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. NeurIPS Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu
2023	J	`jnl`	DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. CoRR Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu
2023	J	`jnl`	Defenses in Adversarial Machine Learning: A Survey. CoRR Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu
2023	A*	`conf`	DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CVPR Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan
2023	J	`jnl`	DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. CoRR Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan
2023	J	`jnl`	Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients. Mach. Intell. Res. Chengcheng Ma, Baoyuan Wu, Yanbo Fan, Yong Zhang, Zhifeng Li
2023	J	`jnl`	Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization. CoRR Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
2023	A*	`conf`	Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. ICCV Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu
2023	J	`jnl`	Generalizable Black-Box Adversarial Attack with Meta Learning. CoRR Fei Yin, Yong Zhang, Baoyuan Wu, Yan Feng, Jingyi Zhang, Yanbo Fan, Yujiu Yang
2023	A*	`conf`	Global Balanced Experts for Federated Long-Tailed Learning. ICCV Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu
2023	J	`jnl`	Improving Fast Adversarial Training with Prior-Guided Knowledge. CoRR Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2023	J	`jnl`	Inter-frame Accelerate Attack against Video Interpolation Models. CoRR Junpei Liao, Zhikai Chen, Liang Yi, Wenyuan Yang, Baoyuan Wu, Xiaochun Cao
2023	A*	`conf`	Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
2023	J	`jnl`	Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. CoRR Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
2023	—	`conf`	NOFA: NeRF-based One-shot Facial Avatar Reconstruction. SIGGRAPH (Conference Paper Track) Wangbo Yu, Yanbo Fan, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Yan-Pei Cao, Ying Shan, Yang Wu, Zhongqian Sun, Baoyuan Wu
2023	J	`jnl`	NOFA: NeRF-based One-shot Facial Avatar Reconstruction. CoRR Wangbo Yu, Yanbo Fan, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Yan-Pei Cao, Ying Shan, Yang Wu, Zhongqian Sun, Baoyuan Wu
2023	A*	`conf`	Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2023	J	`jnl`	Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu
2023	J	`jnl`	Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers. CoRR Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Yong Zhang, Yanbo Fan, Baoyuan Wu
2023	J	`jnl`	Robust Physical-World Attacks on Face Recognition. Pattern Recognit. Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan
2023	A*	`conf`	Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. NeurIPS Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
2023	J	`jnl`	Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. CoRR Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu
2023	J	`jnl`	TAT: Targeted backdoor attacks against visual object tracking. Pattern Recognit. Ziyi Cheng, Baoyuan Wu, Zhenya Zhang, Jianjun Zhao
2023	J	`jnl`	Task-Distributionally Robust Data-Free Meta-Learning. CoRR Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao
2023	A*	`conf`	ToonTalker: Cross-Domain Face Reenactment. ICCV Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang
2023	J	`jnl`	ToonTalker: Cross-Domain Face Reenactment. CoRR Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang
2023	J	`jnl`	Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. CoRR Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu
2023	A*	`conf`	UCF: Uncovering Common Features for Generalizable Deepfake Detection. ICCV Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu
2023	J	`jnl`	UCF: Uncovering Common Features for Generalizable Deepfake Detection. CoRR Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu
2023	J	`jnl`	VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. CoRR Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu
2023	J	`jnl`	Versatile Weight Attack via Flipping Limited Bits. IEEE Trans. Pattern Anal. Mach. Intell. Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shu-Tao Xia
2023	J	`jnl`	Visual Prompt Based Personalized Federated Learning. CoRR Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao
2022	—	`conf`	A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. ECCV (4) Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao
2022	J	`jnl`	A Large-scale Multiple-objective Method for Black-box Attack against Object Detection. CoRR Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
2022	J	`jnl`	Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis. CoRR Jiancong Xiao, Zeyu Qin, Yanbo Fan, Baoyuan Wu, Jue Wang, Zhi-Quan Luo
2022	Misc	`conf`	Attention Probe: Vision Transformer Distillation in the Wild. ICASSP Jiahao Wang, Mingdeng Cao, Shuwei Shi, Baoyuan Wu, Yujiu Yang
2022	A*	`conf`	Backdoor Defense via Decoupling the Training Process. ICLR Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren
2022	J	`jnl`	Backdoor Defense via Decoupling the Training Process. CoRR Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren
2022	A*	`conf`	BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. NeurIPS Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen
2022	J	`jnl`	BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha
2022	A*	`conf`	Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution. CVPR Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia
2022	J	`jnl`	Boosting Fast Adversarial Training With Learnable Adversarial Initialization. IEEE Trans. Image Process. Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao
2022	A*	`conf`	Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. NeurIPS Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu
2022	J	`jnl`	Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. CoRR Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu
2022	A*	`conf`	Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples. NeurIPS Weixin Chen, Baoyuan Wu, Haoqian Wang
2022	J	`jnl`	Imperceptible and Robust Backdoor Attack in 3D Point Cloud. CoRR Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia
2022	A*	`conf`	LAS-AT: Adversarial Training with Learnable Attack Strategy. CVPR Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2022	J	`jnl`	LAS-AT: Adversarial Training with Learnable Attack Strategy. CoRR Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2022	J	`jnl`	Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing. CoRR Longkang Li, Baoyuan Wu
2022	J	`jnl`	Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu
2022	J	`jnl`	Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. CoRR Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao
2022	J	`jnl`	Physically Adversarial Attacks and Defenses in Computer Vision: A Survey. CoRR Xingxing Wei, Bangzheng Pu, Jiefan Lu, Baoyuan Wu
2022	—	`conf`	Prior-Guided Adversarial Initialization for Fast Adversarial Training. ECCV (4) Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2022	J	`jnl`	Prior-Guided Adversarial Initialization for Fast Adversarial Training. CoRR Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao
2022	J	`jnl`	Semi-supervised robust training with generalized perturbed neighborhood. Pattern Recognit. Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shu-Tao Xia
2022	—	`conf`	StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN. ECCV (17) Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang
2022	J	`jnl`	StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN. CoRR Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang
2022	J	`jnl`	Towards Corruption-Agnostic Robust Domain Adaptation. ACM Trans. Multim. Comput. Commun. Appl. Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu
2022	J	`jnl`	Versatile Weight Attack via Flipping Limited Bits. CoRR Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shutao Xia
2021	Misc	`conf`	Backdoor Attack Against Speaker Verification. ICASSP Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
2021	J	`jnl`	Boosting Fast Adversarial Training with Learnable Adversarial Initialization. CoRR Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao
2021	J	`jnl`	Customized Summarizations of Visual Data Collections. Comput. Graph. Forum Mengke Yuan, Bernard Ghanem, Dong-Ming Yan, Baoyuan Wu, Xiaopeng Zhang, Peter Wonka
2021	A*	`conf`	Effective and Efficient Vote Attack on Capsule Networks. ICLR Jindong Gu, Baoyuan Wu, Volker Tresp
2021	J	`jnl`	Effective and Efficient Vote Attack on Capsule Networks. CoRR Jindong Gu, Baoyuan Wu, Volker Tresp
2021	A*	`conf`	Invisible Backdoor Attack with Sample-Specific Triggers. ICCV Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu
2021	A*	`conf`	Meta-Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack. ICCV Weiwei Feng, Baoyuan Wu, Tianzhu Zhang, Yong Zhang, Yongdong Zhang
2021	A*	`conf`	Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. ICCV Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao
2021	A*	`conf`	Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. CVPR Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang
2021	J	`jnl`	Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. CoRR Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang
2021	A*	`conf`	Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing. CVPR Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu
2021	J	`jnl`	Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing. CoRR Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu
2021	A*	`conf`	Random Noise Defense Against Query-Based Black-Box Attacks. NeurIPS Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu
2021	J	`jnl`	Regional Adversarial Training for Better Robust Generalization. CoRR Chuanbiao Song, Yanbo Fan, Yichen Yang, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He
2021	J	`jnl`	Robust Physical-World Attacks on Face Recognition. CoRR Xin Zheng, Yanbo Fan, Baoyuan Wu, Yong Zhang, Jue Wang, Shirui Pan
2021	A*	`conf`	Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. ICLR Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia
2021	J	`jnl`	Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. CoRR Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia
2021	A*	`conf`	TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. CVPR Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu
2021	J	`jnl`	Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. CoRR Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu
2021	J	`jnl`	Towards Corruption-Agnostic Robust Domain Adaptation. CoRR Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu
2021	A	`conf`	Towards Effective Adversarial Attack Against 3D Point Cloud Classification. ICME Chengcheng Ma, Weiliang Meng, Baoyuan Wu, Shibiao Xu, Xiaopeng Zhang
2021	J	`jnl`	Towards Open-World Text-Guided Face Image Generation and Manipulation. CoRR Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu
2020	J	`jnl`	Backdoor Attack against Speaker Verification. CoRR Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	Backdoor Attack with Sample-Specific Triggers. CoRR Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu
2020	J	`jnl`	Backdoor Learning: A Survey. CoRR Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu-Tao Xia
2020	J	`jnl`	Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance. Int. J. Comput. Vis. Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng
2020	—	`conf`	Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip. ECCV (15) Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu
2020	J	`jnl`	Controllable Descendant Face Synthesis. CoRR Yong Zhang, Le Li, Zhilei Liu, Baoyuan Wu, Yanbo Fan, Zhifeng Li
2020	J	`jnl`	Dual ResGCN for Balanced Scene GraphGeneration. CoRR Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yanbo Fan, Fumin Shen, Heng Tao Shen
2020	J	`jnl`	Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients. CoRR Chengcheng Ma, Baoyuan Wu, Shibiao Xu, Yanbo Fan, Yong Zhang, Xiaopeng Zhang, Zhifeng Li
2020	J	`jnl`	Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations. CoRR Yan Feng, Baoyuan Wu, Yanbo Fan, Zhifeng Li, Shutao Xia
2020	A*	`conf`	Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification. ACM Multimedia Chengcheng Ma, Weiliang Meng, Baoyuan Wu, Shibiao Xu, Xiaopeng Zhang
2020	J	`jnl`	Groupwise Ranking Loss for Multi-Label Learning. IEEE Access Yanbo Fan, Baoyuan Wu, Ran He, Bao-Gang Hu, Yong Zhang, Siwei Lyu
2020	J	`jnl`	Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning. CoRR Zhilei Liu, Yunpeng Wu, Le Li, Cuicui Zhang, Baoyuan Wu
2020	J	`jnl`	MAP Inference Via ℓ Int. J. Comput. Vis. Baoyuan Wu, Li Shen, Tong Zhang, Bernard Ghanem
2020	J	`jnl`	Open-sourced Dataset Protection via Backdoor Watermarking. CoRR Yiming Li, Ziqi Zhang, Jiawang Bai, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	Pixel-wise Dense Detector for Image Inpainting. Comput. Graph. Forum Rui-Song Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, Dong-Ming Yan
2020	J	`jnl`	Pixel-wise Dense Detector for Image Inpainting. CoRR Rui-Song Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, Dong-Ming Yan
2020	J	`jnl`	Rethinking the Trigger of Backdoor Attack. CoRR Yiming Li, Tongqing Zhai, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shutao Xia
2020	J	`jnl`	SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning. CoRR Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
2020	—	`conf`	SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. ECCV (9) Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
2020	—	`conf`	Sparse Adversarial Attack via Perturbation Factorization. ECCV (22) Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang
2020	B	`conf`	Teacher-Student Competition for Unsupervised Domain Adaptation. ICPR Ruixin Xiao, Zhilei Liu, Baoyuan Wu
2020	J	`jnl`	Teacher-Student Competition for Unsupervised Domain Adaptation. CoRR Ruixin Xiao, Zhilei Liu, Baoyuan Wu
2020	J	`jnl`	TediGAN: Text-Guided Diverse Image Generation and Manipulation. CoRR Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu
2020	J	`jnl`	Toward Adversarial Robustness via Semi-supervised Robust Training. CoRR Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shutao Xia
2020	J	`jnl`	Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation. IEEE Trans. Image Process. Yuyang Zhang, Shibiao Xu, Baoyuan Wu, Jian Shi, Weiliang Meng, Xiaopeng Zhang
2019	A*	`conf`	Compressing Convolutional Neural Networks via Factorized Convolutional Filters. CVPR Tuanhui Li, Baoyuan Wu, Yujiu Yang, Yanbo Fan, Yong Zhang, Wei Liu
2019	J	`jnl`	Constrained K-means with General Pairwise and Cardinality Constraints. CoRR Adel Bibi, Baoyuan Wu, Bernard Ghanem
2019	A*	`conf`	Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data. ICCV Yong Zhang, Haiyong Jiang, Baoyuan Wu, Yanbo Fan, Qiang Ji
2019	A*	`conf`	Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. CVPR Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu
2019	J	`jnl`	Efficient Decision-based Black-box Adversarial Attacks on Face Recognition. CoRR Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu
2019	A*	`conf`	Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables. CVPR Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu
2019	J	`jnl`	Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables. CoRR Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu
2019	J	`jnl`	Handling missing labels and class imbalance challenges simultaneously for facial action unit recognition. Multim. Tools Appl. Yongqiang Li, Baoyuan Wu, Yongping Zhao, Hongxun Yao, Qiang Ji
2019	J	`jnl`	Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations. CoRR Yuezun Li, Xin Yang, Baoyuan Wu, Siwei Lyu
2019	A*	`conf`	Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. CVPR Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji
2019	A*	`conf`	Learning to Compose Dynamic Tree Structures for Visual Contexts. CVPR Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
2019	J	`jnl`	MAP Inference via L2-Sphere Linear Program Reformulation. CoRR Baoyuan Wu, Li Shen, Bernard Ghanem, Tong Zhang
2019	A*	`conf`	Residual Regression With Semantic Prior for Crowd Counting. CVPR Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, Wei Liu
2019	A*	`conf`	Target-Aware Deep Tracking. CVPR Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang
2019	J	`jnl`	Target-Aware Deep Tracking. CoRR Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang
2019	J	`jnl`	Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. IEEE Access Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Tong Zhang
2019	J	`jnl`	Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. CoRR Baoyuan Wu, Weidong Chen, Yanbo Fan, Yong Zhang, Jinlong Hou, Jie Liu, Junzhou Huang, Wei Liu, Tong Zhang
2019	—	`conf`	The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou
2019	J	`jnl`	ℓ IEEE Trans. Pattern Anal. Mach. Intell. Baoyuan Wu, Bernard Ghanem
2018	—	`conf`	A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. ICLR (Workshop) Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao
2018	J	`jnl`	A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. CoRR Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao
2018	J	`jnl`	Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors. IEEE Trans. Geosci. Remote. Sens. Shibiao Xu, Xingjia Pan, Er Li, Baoyuan Wu, Shuhui Bu, Weiming Dong, Shiming Xiang, Xiaopeng Zhang
2018	J	`jnl`	Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance. CoRR Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng
2018	—	`conf`	Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm. ECCV (15) Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng
2018	J	`jnl`	Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. CoRR Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng
2018	J	`jnl`	CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF. CoRR Linchao Bao, Baoyuan Wu, Wei Liu
2018	A*	`conf`	CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF. CVPR Linchao Bao, Baoyuan Wu, Wei Liu
2018	J	`jnl`	Learning to Compose Dynamic Tree Structures for Visual Contexts. CoRR Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
2018	J	`jnl`	Multi-label Learning with Missing Labels Using Mixed Dependency Graphs. Int. J. Comput. Vis. Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, Siwei Lyu
2018	J	`jnl`	Multi-label Learning with Missing Labels using Mixed Dependency Graphs. CoRR Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem, Siwei Lyu
2018	A*	`conf`	Tagging Like Humans: Diverse and Distinct Image Annotation. CVPR Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu
2018	J	`jnl`	Tagging like Humans: Diverse and Distinct Image Annotation. CoRR Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu
2017	J	`jnl`	A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos. Pattern Recognit. Baoyuan Wu, Bao-Gang Hu, Qiang Ji
2017	A*	`conf`	Diverse Image Annotation. CVPR Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem
2016	J	`jnl`	A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos. IEEE Trans. Image Process. Yifan Zhang, ZhiQiang Tang, Baoyuan Wu, Qiang Ji, Hanqing Lu
2016	A*	`conf`	Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning. AAAI Baoyuan Wu, Siwei Lyu, Bernard Ghanem
2016	C	`conf`	Control System Design and Implementation of Flexible Multi-joint Snake-Like Robot for Inspecting Vessel. IAS Yi Liu, Qingquan Yan, Qiang Zhang, Weibin Guo, Odbal, Baoyuan Wu, Zengfu Wang
2016	J	`jnl`	Facial action unit recognition under incomplete data based on multi-label learning with missing labels. Pattern Recognit. Yongqiang Li, Baoyuan Wu, Bernard Ghanem, Yongping Zhao, Hongxun Yao, Qiang Ji
2016	C	`conf`	Research on the Tokamak Equipment CAsk (TECA) for Remote Handling in Experimental Advanced Superconducting Tokamak (EAST). IAS Lifu Gao, Weibin Guo, Baoyuan Wu, Daqing Wang, Yuan Liu, Yi Liu, Qiang Zhang, Zengfu Wang, Liangbin Guo
2016	C	`conf`	Structural Design of Multi-joint Foldable Robot Manipulator for Remote Inspection in Experimental Advanced Superconducting Tokamak (EAST). IAS Baoyuan Wu, Weibin Guo, Yi Liu, Qiang Zhang, Ling Zhou, Qingquan Yan, Zhong Zheng, Zengfu Wang
2016	J	`jnl`	ℓ CoRR Baoyuan Wu, Bernard Ghanem
2015	A*	`conf`	ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph. ICCV Baoyuan Wu, Siwei Lyu, Bernard Ghanem
2015	J	`jnl`	Multi-label learning with missing labels for image annotation and facial action unit recognition. Pattern Recognit. Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji
2014	B	`conf`	Multi-label Learning with Missing Labels. ICPR Baoyuan Wu, Zhilei Liu, Shangfei Wang, Bao-Gang Hu, Qiang Ji
2014	J	`jnl`	Signal Processing and Application of Six-axis Force/Torque Sensor Integrated in Humanoid Robot Foot. J. Signal Process. Syst. Baoyuan Wu, Qingquan Yan, Jianfei Luo, Zhongcheng Wu
2013	A*	`conf`	Constrained Clustering and Its Application to Face Clustering in Videos. CVPR Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji
2013	A*	`conf`	Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos. ICCV Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji
2012	—	`conf`	A Novel F-Pad for Handwriting Force Information Acquisition. ICIC (2) Jianfei Luo, Baoyuan Wu, Qiu-Shi Lin, Fei Shen, Zhongcheng Wu
2012	J	`jnl`	Development of an Integrated Perceptual foot System for Humanoid Robots. Int. J. Robotics Autom. Baoyuan Wu, Fei Shen, Yang Ren, Jianfei Luo, Zhongcheng Wu
2011	B	`conf`	Density and neighbor Adaptive Information Theoretic Clustering. IJCNN Baoyuan Wu, Bao-Gang Hu
2007	—	`conf`	Design of the force-sensors system of WPAL. ROBIO Jian Sun, Feng Chen, Baoyuan Wu, Xiaohong Deng, Yong Yu, YunJian Ge
2006	—	`conf`	A PAWL for Enhancing Strength and Endurance during Walking Using Interaction Force and Dynamical Information. ROBIO Feng Chen, Yong Yu, YunJian Ge, Jian Sun, Baoyuan Wu