| 2025 | AAAI | Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. | Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu |
| 2025 | AAAI | C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. | Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei |
| 2025 | ACL | MorphMark: Flexible Adaptive Watermarking for Large Language Models. | Zongqi Wang, Tianle Gu, Baoyuan Wu, Yujiu Yang |
| 2025 | ACL | Robust and Minimally Invasive Watermarking for EaaS. | Zongqi Wang, Baoyuan Wu, Jingyuan Deng, Yujiu Yang |
| 2025 | CVPR | SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model. | Zhenglin Huang, Jinwei Hu, Xiangtai Li, Yiwei He, Xingyu Zhao, Bei Peng, Baoyuan Wu, Xiaowei Huang, Guangliang Cheng |
| 2025 | ICASSP | Reliable Imputed-Sample Assisted Vertical Federated Learning. | Yaopei Zeng, Lei Liu, Shaoguo Liu, Hongjian Dou, Baoyuan Wu, Li Liu |
| 2025 | ICCV | BadVideo: Stealthy Backdoor Attack Against Text-to-Video Generation. | Ruotong Wang, Mingli Zhu, Jiarong Ou, Rui Chen, Xin Tao, Pengfei Wan, Baoyuan Wu |
| 2025 | ICLR | Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. | Danni Yuan, Mingda Zhang, Shaokui Wei, Li Liu, Baoyuan Wu |
| 2025 | ICML | Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection. | Zhiyuan Yan, Jiangming Wang, Peng Jin, Ke-Yue Zhang, Chengchun Liu, Shen Chen, Taiping Yao, Shouhong Ding, Baoyuan Wu, Li Yuan |
| 2025 | WACV | Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection. | Yunfei Li, Yuezun Li, Xin Wang, Baoyuan Wu, Jiaran Zhou, Junyu Dong |
| 2024 | AAAI | Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. | Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu |
| 2024 | CVPR | Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. | Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu |
| 2024 | CVPR | Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics. | Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu |
| 2024 | CVPR | BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning. | Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang |
| 2024 | CVPR | Decentralized Directed Collaboration for Personalized Federated Learning. | Yingqi Liu, Yifan Shi, Baoyuan Wu, Qinglun Li, Xueqian Wang, Li Shen |
| 2024 | ICLR | VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. | Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu |
| 2023 | CVPR | DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. | Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan |
| 2023 | ICCV | UCF: Uncovering Common Features for Generalizable Deepfake Detection. | Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu |
| 2023 | ICCV | ToonTalker: Cross-Domain Face Reenactment. | Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang |
| 2023 | ICCV | Global Balanced Experts for Federated Long-Tailed Learning. | Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu |
| 2023 | ICCV | Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. | Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu |
| 2023 | ICML | Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. | Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao |
| 2023 | SIGGRAPH | NOFA: NeRF-based One-shot Facial Avatar Reconstruction. | Wangbo Yu, Yanbo Fan, Yong Zhang, Xuan Wang, Fei Yin, Yunpeng Bai, Yan-Pei Cao, Ying Shan, Yang Wu, Zhongqian Sun, Baoyuan Wu |
| 2022 | CVPR | Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution. | Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia |
| 2022 | CVPR | LAS-AT: Adversarial Training with Learnable Attack Strategy. | Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao |
| 2022 | ECCV | Prior-Guided Adversarial Initialization for Fast Adversarial Training. | Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao |
| 2022 | ECCV | A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. | Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao |
| 2022 | ECCV | StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN. | Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang |
| 2022 | ICASSP | Attention Probe: Vision Transformer Distillation in the Wild. | Jiahao Wang, Mingdeng Cao, Shuwei Shi, Baoyuan Wu, Yujiu Yang |
| 2022 | ICLR | Backdoor Defense via Decoupling the Training Process. | Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren |
| 2021 | CVPR | Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing. | Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu |
| 2021 | CVPR | TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. | Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu |
| 2021 | CVPR | Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. | Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang |
| 2021 | ICASSP | Backdoor Attack Against Speaker Verification. | Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia |
| 2021 | ICCV | Meta-Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack. | Weiwei Feng, Baoyuan Wu, Tianzhu Zhang, Yong Zhang, Yongdong Zhang |
| 2021 | ICCV | Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. | Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao |
| 2021 | ICCV | Invisible Backdoor Attack with Sample-Specific Triggers. | Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu |
| 2021 | ICLR | Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. | Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia |
| 2021 | ICLR | Effective and Efficient Vote Attack on Capsule Networks. | Jindong Gu, Baoyuan Wu, Volker Tresp |
| 2020 | ECCV | Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip. | Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu |
| 2020 | ECCV | Sparse Adversarial Attack via Perturbation Factorization. | Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang |
| 2020 | ECCV | SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. | Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu |
| 2020 | ICPR | Teacher-Student Competition for Unsupervised Domain Adaptation. | Ruixin Xiao, Zhilei Liu, Baoyuan Wu |
| 2019 | CVPR | Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables. | Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu |
| 2019 | CVPR | Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. | Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu |
| 2019 | CVPR | Target-Aware Deep Tracking. | Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang |
| 2019 | CVPR | Compressing Convolutional Neural Networks via Factorized Convolutional Filters. | Tuanhui Li, Baoyuan Wu, Yujiu Yang, Yanbo Fan, Yong Zhang, Wei Liu |
| 2019 | CVPR | Learning to Compose Dynamic Tree Structures for Visual Contexts. | Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu |
| 2019 | CVPR | Residual Regression With Semantic Prior for Crowd Counting. | Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, Wei Liu |
| 2019 | CVPR | Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. | Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji |
| 2019 | ICCV | Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data. | Yong Zhang, Haiyong Jiang, Baoyuan Wu, Yanbo Fan, Qiang Ji |
| 2018 | CVPR | CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF. | Linchao Bao, Baoyuan Wu, Wei Liu |
| 2018 | CVPR | Tagging Like Humans: Diverse and Distinct Image Annotation. | Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu |
| 2018 | ECCV | Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm. | Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng |
| 2018 | ICLR | A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. | Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao |
| 2017 | CVPR | Diverse Image Annotation. | Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem |
| 2016 | AAAI | Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning. | Baoyuan Wu, Siwei Lyu, Bernard Ghanem |
| 2016 | IAS | Research on the Tokamak Equipment CAsk (TECA) for Remote Handling in Experimental Advanced Superconducting Tokamak (EAST). | Lifu Gao, Weibin Guo, Baoyuan Wu, Daqing Wang, Yuan Liu, Yi Liu, Qiang Zhang, Zengfu Wang, Liangbin Guo |
| 2016 | IAS | Control System Design and Implementation of Flexible Multi-joint Snake-Like Robot for Inspecting Vessel. | Yi Liu, Qingquan Yan, Qiang Zhang, Weibin Guo, Odbal, Baoyuan Wu, Zengfu Wang |
| 2016 | IAS | Structural Design of Multi-joint Foldable Robot Manipulator for Remote Inspection in Experimental Advanced Superconducting Tokamak (EAST). | Baoyuan Wu, Weibin Guo, Yi Liu, Qiang Zhang, Ling Zhou, Qingquan Yan, Zhong Zheng, Zengfu Wang |
| 2015 | ICCV | ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph. | Baoyuan Wu, Siwei Lyu, Bernard Ghanem |
| 2014 | ICPR | Multi-label Learning with Missing Labels. | Baoyuan Wu, Zhilei Liu, Shangfei Wang, Bao-Gang Hu, Qiang Ji |
| 2013 | CVPR | Constrained Clustering and Its Application to Face Clustering in Videos. | Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji |
| 2013 | ICCV | Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos. | Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji |
| 2011 | IJCNN | Density and neighbor Adaptive Information Theoretic Clustering. | Baoyuan Wu, Bao-Gang Hu |