Homepage of Xingxing Wei

           I  have joined Beihang (BUAA) University as Associate Professor in  September, 2019.  If you are interested in my research, please contact  me!

           From 2017 to 2019, I was a PostDoc in the Department of Computer Science and Technology at Tsinghua University, working with Prof. Jun Zhu. Prior to this, I worked in Ant Financial, as a senior algorithm engineer. In July 2015, I obtained my PhD degree in School of Computer Science and Technology at Tianjin University. In July 2010, I received my bachelor degree in School of Automation and Electrical Engineering at Beihang University. From 2012 to 2015, I spent three happy years at Institute of Information Engineering, Chinese Academy of Sciences, as a visiting student. My research interests include: multimedia, adversarial examples, remote sensing,  etc.

Preprints

• Xingxing Wei, Bangzheng Pu, Jiefan Lu, Baoyuan Wu, "Visually Adversarial Attacks and Defenses in the Physical World: A Survey", arXiv preprint arXiv:2211.01671, 2022.

Publications

Topic:  Adversarial Attacks and Defense

• Xingxing Wei, Shiji Zhao, Bo Li*,  "Revisiting the Trade-off between Accuracy and Robustness via Filters’ Weight Distribution", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, accepted.

• Xingxing Wei*, Songping Wang, Huanqian Yan, "Efficient Robustness Assessement via Adversarial Spatial-Temporal Focus on Videos",  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023,  accepted. 

• Xingxing Wei*,  Yao Huang, Yitong Sun, Jie Yu,  "Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, accepted.

• Xingxing Wei*, Ying Guo, Jie Yu, "Adversarial Sticker: A Stealthy Attack Method in the Physical World",  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022,  accepted.

• Xingxing Wei*, Ying Guo, Jie Yu, Bo Zhang, "Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attack",  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022,  accepted.

• Xingxing Wei*,  Jie Yu, Yao Huang,  "Infrared Adversarial Patches with Learnable Shapes and Locations in the Physical World", International Journal of Computer Vision (IJCV), 2023, accepted.

• Xingxing Wei*, Huanqian Yan, Bo Li, "Sparse Black-box Video Attack with Reinforement Learning", International Journal of Computer Vision (IJCV), 2022, accepted.

• Xingxing Wei*, Jie Yu, Yao Huang,  "Physically Adversarial Infrared Patches with Learanble Shapes and Locations", In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR2023), 2023, accepted.

• Xingxing Wei*,  Yao Huang, Yitong Sun, Jie Yu,  "Unified Adversarial Patch for Cross-modal Attacks in the Physical World", In Proc. of the IEEE International Conference on Computer Vision (ICCV2023), 2023, accepted.

• Xingxing Wei*, Maoxun Yuan, "Adversarial Pan-sharpening Attacks for Object Detection in Remote Sensing", Pattern Recognition (PR), 2023, accepted.

• Xingxing Wei*, Shiji Zhao, "Boosting Adversarial Transferability with Learnable Patch-wise Masks", IEEE Transactions on Multimedia (TMM), 2023, accepted.

• Shiji Zhao, Xizhe Wang, Xingxing Wei*: "Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation",  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, accepted. 

• Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao, "Improving Fast Adversarial Training with Prior-Guided Knowledge", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024,  accepted. 

• Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei*: " Towards Transferable Targeted 3D Adversarial Attack in the Physical World", In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR2024), 2024, accepted.

• Yitong Sun,Yao Huang, Xingxing Wei*: "Embodied Laser Attack: Leveraging Scene Priors to Achieve Agent-based Robust Non-contact Attacks", In ACM International Conference on Multimedia (ACMMM2024), 2024, accepted.

• Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei*: "Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training models",  European Conference on Computer Vision 2024 (ECCV2024), accepted, (Oral).

• Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su, Xingxing Wei*: "DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks ",  European Conference on Computer Vision 2024 (ECCV2024), accepted.

• Shiji Zhao,  Xizhe Wang, Ranjie Duan, Xingxing Wei*: "Improving Adversarial Robust Fairness via Anti-bias Soft Label Distillation",  NeurIPS2024, accepted.

• Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu, "Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study", NeurIPS2024, accepted.

• Shouwei Ruan, Yinpeng Dong, Hang Su, Jiateng Pang, Ning Chen, Xingxing Wei*,  "Towards Viewpoint-Invariant Visual Recognition via Adversarial Training", In Proc. of the IEEE International Conference on Computer Vision (ICCV2023), 2023, accepted.

• Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu, "Benchmarking Robustness of 3D Object Detection to Common Corruption in Automatic Driving", In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR2023), 2023, accepted.

• Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu, "ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints", NeurIPS2022, accepted.

• Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei*, "Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation", European Conference on Computer Vision 2022 (ECCV2022), accepted.

• Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao, "Prior-Guided Adversarial Initialization for Fast Adversarial Training", European Conference on Computer Vision 2022 (ECCV2022), accepted.

• Yikun Xu, Xingxing Wei*,  "A2SC: Adversrial Attack on Subspace Clustering",  IEEE International Conference on Mutimedia and Expo (ICME), 2022, accepted.

• Huanqian Yan,  Xingxing Wei*  "Efficient Sparse Attacks on Videos using Reinforcement Learning",  in ACM International Conference on Multimedia (ACMMM), 2021, accepted.

• Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, , Xiaochun Cao "Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object detection", in the proceeding of International Conference on Computer Vision (ICCV), 2021, accepted.

• Siyuan Liang, Xingxing Wei, Xiaochun Cao "Generate More Imperceptible Adversarial Examples for Object Detection"  in Workshop on Adversarial Machine Learning at ICML2021.

• Xiaojun Jia, Huanqian Yan, Yonglin Wu, Xingxing Wei*, Xiaochun Cao, Yong Zhang "An Effective and Robust Detector for Logo Detection", arXiv:2108.00422,  Won the runner-up within 36489 teams in Robust Logo Detection held by ACMMM2021

• Guoqiu Wang, Huanqian Yan, Ying Guo, Xingxing Wei*  "Improving  Adversarial  Transferability with Gradient Refining" in Workshop on AML-CV at CVPR2021, Won the 4-th place within 1559 teams about Unrestricted Adversarial Attacks on Imagenet held by CVPR2021.

• Yusheng Zhao, Huanqian Yan, Xingxing Wei*  "Object Hider: Adversarial Patch Attack Against Object Detectors", arXiv preprint arXiv:2010.14974,  Won the 7-th place within 1701 teams in Adversarial Challenge on Object Detection organized by Alibaba in CIKM2020.

• Xingxing Wei*, Ying Guo, Bo Li "Black-box Adversarial Attacks by Manipulating Image Attributes", Information Sciences (INS), accepted, 2020

• Xiaojun Jia, Xingxing Wei*, Xiaochun Cao, Xiaoguang Han "Adv-watermark: A Novel Perturbations for Adversarial Examples",  in ACM International Conference on Multimedia (ACMMM), 2020, accepted.

• Siyuan Liang, Xingxing Wei*, Siyuan Yao, Xiaochun Cao "Efficient Adversarial Attacks for Visual Object Tracking", in European Conference on Computer Vision  (ECCV), 2020, accepted as poster. 

• Zhipeng Wei, Jingjing  Chen, Xingxing Wei*, Lingxi Jiang,  Yu-gang Jiang, Tat-Seng Chua, Fengfeng Zhou "Heuristic Black-box Adversarial Attacks on Video Recognition Model",  in AAAI Conference on Artificial Intelligence (AAAI), 2020, accepted as oral.  Code

• Xiaojun Jia, Xingxing Wei*, Xiaochun Cao, Hassan Foroosh "ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples", In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, accepted.  Code

• Xingxing Wei,  Siyuan Liang, Ning Chen, Xiaochun Cao "Transferable Adversarial Attacks for Image and Video Object Detection", International Joint Conferences on Artificial Intelligence (IJCAI), 2019 , accepted as Oral.  Code    Project

• Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su "Sparse Adversarial Perturbations for Videos", in AAAI Conference on Artificial Intelligence (AAAI), 2019, accepted. Code

• Xingxing Wei, Jun Zhu, Sitong Feng, Hang Su "Video-to-Video Translation with Global Temporal Consistency",  in ACM International Conference on Multimedia (ACMMM), 2018, accepted.

Topic:  Remote Sensing

• Maoxun Yuan,  Xingxing Wei*: "C2Former: Calibrated and Complementary Transformer for  RGB-Infrared Object Detection",  IEEE Transactions on Geoscience and Remote Sensing (TGRS), accepted, 2024

• Lei Zhao, Bo Li, Jixiang Jiang, Xingxing Wei*: "Classification Committee for Active Deep Object Detection", IEEE Transactions on Multimedia (TMM), 2024, accepted.

• Maoxun Yuan,  Xiaorong Shi, Nan Wang, Yinyan Wang, Xingxing Wei*: "Improving RGB-Infrared Object Detection with Cascade Alignment-guided Transformer", Information Fusion, 2023, accepted

• Maoxun Yuan,  Yinyan Wang, Xingxing Wei*: "Translation, Scale and Rotation, Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection", European Conference on Computer Vision 2022 (ECCV2022), accepted

• Bo Li, Xiaoyang Xie, Xingxing Wei*, Wenting Tang "Ship Detection and Classification from Optical Remote Sensing Images: A Survey",  Chinese Journal of Aeronautics, accepted, 2020

• Nan Wang, Bo Li, Xingxing Wei*, Yonghua Zhang, Huanqian Yan "Ship Detection in Spaceborne Infrared Image Based on Lightweight CNN and Multisource Feature Cascade Decision", IEEE Transactions on Geoscience and Remote Sensing (TGRS), accepted, 2020

• Xiaoyang Xie, Bo Li, Xingxing Wei* "Ship Detection in Multispectral Satellite Images Under Complex Environment", Remote Sensing, accepted, 2020

• Huanqian Yan, Bo Li, Hong Zhang, Xingxing Wei* "An Anti-jamming and Lightweight Ship Detector Designed for Spaceborne Optical Images", IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing (IEEE J-STARS), accepted, 2022.

Topic:  Others

• Xingxing Wei, Zhiqiang Tao, Changqing Zhang, Xiaochun Cao "Structured Saliency Fusion Based on Dempster-Shafer Theory",  IEEE Signal Processing Letters (SPL), 2015, accepted. (Won the TOP 10% Paper Award in ICIP2016)

• Xiaochun Cao (Supervisor), Xingxing Wei, Yahong Han, Xiaowu Chen "An Object-level High-order Contextual Descriptor based on Semantic, Spatial and Scale Cues", IEEE Transactions on Cybernetics (T-Cyb), 2014, accepted.

• Xiaochun Cao (Supervisor), Xingxing Wei*, Yahong Han, Dongdai Lin "Robust Face Clustering via Tensor Decomposition", IEEE Transactions on Cybernetics (T-Cyb), 2014, acceped.  

• Xiaochun Cao (Supervisor), Xingxing Wei, Xiaojie Guo, Yahong Han, Jinhui Tang "Augmenting Image Retrieval using Multi-order Object Layout with Attributes", in ACM International Conference on Multimedia (ACMMM), 2014, accepted.

• Xiaochun Cao (Supervisor), Xingxing Wei, Yahong Han, Yi Yang, DongDai Lin "Robust Tensor Clustering with Non-Greedy Maximization", International Joint Conferences on Artificial Intelligence (IJCAI), 2013. 

• Xiaochun Cao (Supervisor), Xingxing Wei, Yahong Han, Yi Yang, Nicu Sebe, Alexander Hauptmann "Unified Dictionary Learning and Region Tagging with Hierarchical Sparse Representation", Computer Vision and Image Understanding (CVIU), 117(2013) 934-946.

• Xiaochun Cao (Supervisor), Ling Du, Xingxing Wei,  Dan Meng, Xiaojie Guo "High Capacity Reversible Data Hiding in Encrypted Images by Patch-level Sparse Representation",  IEEE Transactions on Cybernetics (T-Cyb), 2015, accepted.

• Yahong Han, Xingxing Wei, Xiaochun Cao, Yi Yang, Xiaofang Zhou "Augmenting Image Descriptions Using Structured Prediction Output", IEEE Transactions on Multimedia (T-MM), 2014, accepted. 

Patents

• Xingxing Wei, Xiaochun Cao, Yahong Han "A Structured Image Description Method", No.201310504488.7

• Xingxing Wei, Xiaochun Cao, Yahong Han "A Hierarchical Structure based Image Search Method", No.201310505213.5

Fundings

• Principal Investigator, “The Study of Robust Video Understanding Algorithms based on Encoded Structured Information”, National Natural Science Foundation of China,  January 1, 2019 – December 31, 2021. 

• Principal Investigator, “Robust Video Understanding Algorithms towards Adversarial Examples”,  China Postdoctoral Science Special Foundation, January 1, 2019 – December 31, 2019. 

• Principal Investigator, "The Generation and Defense against Adversarial Examples Towards Video Data", China Postdoctoral Science Foundation, October 1, 2018 – September 30, 2019.

Professional services

• Reviewers of TPAMI; IJCV; TNNLS; AAAI 2019, 2020; ICML 2019; IJCAI2019, 2020;  NeurIPS2019, 2020;  ACMMM2019, 2020; CVPR2020, etc

＊Corresponding author

Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.