Yang, Xiao

59 publications

AAAI 2025 A Generalizable Anomaly Detection Method in Dynamic Graphs Xiao Yang, Xuejiao Zhao, Zhiqi Shen

NeurIPS 2025 GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling Jialong Zhou, Lichao Wang, Xiao Yang

IJCAI 2025 GraphProt: Certified Black-Box Shielding Against Backdoored Graph Models Xiao Yang, Yuni Lai, Kai Zhou, Gaolei Li, Jianhua Li, Hang Zhang

IJCAI 2025 How to Enable LLM with 3D Capacity? a Survey of Spatial Reasoning in LLM Jirong Zha, Yuxuan Fan, Xiao Yang, Chen Gao, Xinlei Chen

NeurIPS 2025 OSTAR: Optimized Statistical Text-Classifier with Adversarial Resistance Yuhan Yao, Feifei Kou, Lei Shi, Xiao Yang, Zhongbao Zhang, Suguo Zhu, Jiwei Zhang, Lirong Qiu, Li Haisheng

NeurIPS 2025 PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-Vehicle Driver Monitoring Jiyao Wang, Xiao Yang, Qingyong Hu, Jiankai Tang, Can Liu, Dengbo He, Yuntao Wang, Ying-Cong Chen, Kaishun Wu

NeurIPS 2025 R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization Yuante Li, Xu Yang, Xiao Yang, Xisen Wang, Weiqing Liu, Jiang Bian

ICML 2025 STAIR: Improving Safety Alignment with Introspective Reasoning Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu

NeurIPS 2025 WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-World Scenarios Eun Chang, Zhuangqun Huang, Yiwei Liao, Sagar Ravi Bhavsar, Amogh Param, Tammy Stark, Adel Ahmadyan, Xiao Yang, Jiaqi Wang, Ahsan Abdullah, Giang Nguyen, Akil Iyer, David Patrick Hall, Elissa Li, Nicolas Scheffer, Ahmed Kirmani, Babak Damavandi, Rakesh Wanga, Anuj Kumar, Rohit Patel, Seungwhan Moon, Xin Luna Dong

NeurIPS 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian

NeurIPS 2024 CRAG - Comprehensive RAG Benchmark Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong

WACV 2024 Common Diffusion Noise Schedules and Sample Steps Are Flawed Shanchuan Lin, Bingchen Liu, Jiashi Li, Xiao Yang

NeurIPS 2024 Diffusion Models Are Certifiably Robust Classifiers Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu

ICML 2024 Efficient Black-Box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu

ICLR 2024 Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu

NeurIPS 2024 GuardT2I: Defending Text-to-Image Models from Adversarial Prompts Yijun Yang, Ruiyuan Gao, Xiao Yang, Jianyuan Zhong, Qiang Xu

NeurIPS 2024 Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective Yibo Miao, Yinpeng Dong, Jinlai Zhang, Lijia Yu, Xiao Yang, Xiao-Shan Gao

ICLR 2024 MVDream: Multi-View Diffusion for 3D Generation Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, Xiao Yang

ICML 2024 MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-Aware Diffusion Di Chang, Yichun Shi, Quankai Gao, Hongyi Xu, Jessica Fu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, Mohammad Soleymani

ECCV 2024 MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang

NeurIPS 2024 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models 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

ICLRW 2024 RD2Bench: Toward Data-Centric Automatic R&D Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian

ICLR 2024 Rethinking Model Ensemble in Transfer-Based Adversarial Attacks Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu

ICML 2024 Robust Classification via a Single Diffusion Model Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu

CVPR 2024 Towards Transferable Targeted 3D Adversarial Attack in the Physical World Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei

CVPR 2023 Benchmarking Robustness of 3D Object Detection to Common Corruptions Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu

NeurIPSW 2023 How Robust Is Google's Bard to Adversarial Image Attacks? Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu

NeurIPS 2023 On Evaluating Adversarial Robustness of Large Vision-Language Models Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin

CVPR 2023 PAniC-3D: Stylized Single-View 3D Reconstruction from Portraits of Anime Characters Shuhong Chen, Kevin Zhang, Yichun Shi, Heng Wang, Yiheng Zhu, Guoxian Song, Sizhe An, Janus Kristjansson, Xiao Yang, Matthias Zwicker

AAAI 2023 RGBD1K: A Large-Scale Dataset and Benchmark for RGB-D Object Tracking Xuefeng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu, Xiao Yang, Xiao-Jun Wu, Josef Kittler

ICCV 2023 Root Pose Decomposition Towards Generic Non-Rigid 3D Reconstruction with Monocular Videos Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang

CVPR 2023 Shifted Diffusion for Text-to-Image Generation Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu

CVPR 2023 Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu

CVPRW 2022 A Challenging Benchmark of Anime Style Recognition Haotang Li, Shengtao Guo, Kailin Lyu, Xiao Yang, Tianchen Chen, Jianqing Zhu, Huanqiang Zeng

WACV 2022 Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach

ECCV 2022 Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

ICLR 2022 DAB-DETR: Dynamic Anchor Boxes Are Better Queries for DETR Shilong Liu, Feng Li, Hao Zhang, Xiao Yang, Xianbiao Qi, Hang Su, Jun Zhu, Lei Zhang

AAAI 2022 DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian

ICLR 2022 Exploring Memorization in Adversarial Training Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu

ICML 2022 Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan

CVPR 2022 SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing Yichun Shi, Xiao Yang, Yangyue Wan, Xiaohui Shen

NeurIPS 2021 Accumulative Poisoning Attacks on Real-Time Data Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu

ICMLW 2021 Adversarial Semantic Contour for Object Detection Yichi Zhang, Zijian Zhu, Xiao Yang, Jun Zhu

ICLR 2021 Bag of Tricks for Adversarial Training Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu

ICCV 2021 Black-Box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu

ICMLW 2021 Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang, Yinpeng Dong, Tianyu Pang

CVPR 2021 LiBRe: A Practical Bayesian Approach to Adversarial Detection Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu

ICCV 2021 Towards Face Encryption by Generating Adversarial Identity Masks Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue

CVPR 2021 Unsupervised Part Segmentation Through Disentangling Appearance and Shape Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu

NeurIPS 2020 Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Jun Zhu, Hang Su

ECCV 2020 Design and Interpretation of Universal Adversarial Patches in Face Detection Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu

AAAI 2019 Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles

WACV 2019 TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-Task Cascade Dafang He, Xiao Yang, Dan Kifer, C. Lee Giles

PGM 2018 Learning Non-Parametric Markov Networks with Mutual Information Janne Leppä-Aho, Santeri Räisänen, Xiao Yang, Teemu Roos

CVPR 2017 Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, C. Lee Giles

IJCAI 2017 Learning to Read Irregular Text with Attention Mechanisms Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles

CVPR 2017 Multi-Scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbi Ii, Daniel Kifer, C. Lee Giles

AISTATS 2017 Regression Uncertainty on the Grassmannian Yi Hong, Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer

AAAI 2013 Personalized Recommendation Based on Co-Ranking and Query-Based Collaborative Diffusion Xiao Yang, Zhaoxin Zhang, Qiang Wang