Zhang, Xu

35 publications

AAAI 2025 A Lightweight Sparse Interaction Network for Time Series Forecasting Xu Zhang, Qitong Wang, Peng Wang, Wei Wang

CVPR 2025 AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP Wenxin Ma, Xu Zhang, Qingsong Yao, Fenghe Tang, Chenxu Wu, Yingtai Li, Rui Yan, Zihang Jiang, S.Kevin Zhou

ICCV 2025 Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning Haoran Chen, Ping Wang, Zihan Zhou, Xu Zhang, Zuxuan Wu, Yu-Gang Jiang

ICCV 2025 Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Zuyu Zhang, Ning Chen, Yongshan Liu, Qinghua Zhang, Xu Zhang

ICML 2025 Generalization Performance of Ensemble Clustering: From Theory to Algorithm Xu Zhang, Haoye Qiu, Weixuan Liang, Hui Liu, Junhui Hou, Yuheng Jia

ICLR 2025 GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction Si Chen, Richong Zhang, Xu Zhang

IJCAI 2025 Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction Qinghua Wang, Xu Zhang, Lingyan Yang, Rui Shao, Bonan Wang, Fang Wang, Cunquan Qu

ICML 2025 Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Xu Zhang, Kaidi Xu, Ziqing Hu, Ren Wang

AAAI 2025 SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning Xu Zhang, Jin Yuan, Hanwang Zhang, Guojin Zhong, Yongsheng Zang, Jiacheng Lin, Zhiyong Li

ICCV 2025 SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies Liang Han, Xu Zhang, Haichuan Song, Kanle Shi, Yu-Shen Liu, Zhizhong Han

ICML 2025 Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-Aware Diffusion Anle Ke, Xu Zhang, Tong Chen, Ming Lu, Chao Zhou, Jiawen Gu, Zhan Ma

NeurIPS 2024 All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation Xu Zhang, Peiyao Guo, Ming Lu, Zhan Ma

NeurIPS 2024 DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun

ECCV 2024 DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly Fenggen Yu, Yiming Qian, Xu Zhang, Francisca Gil-Ureta, Brian Jackson, Eric Bennett, Hao Zhang

ECCV 2024 HVCLIP: High-Dimensional Vector in CLIP for Unsupervised Domain Adaptation Noranart Vesdapunt, Kah Kuen Fu, Yue Wu, Xu Zhang, Pradeep Natarajan

ICLR 2024 Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects Under Network Interference Chencheng Cai, Xu Zhang, Edoardo Airoldi

AAAI 2024 Negative Pre-Aware for Noisy Cross-Modal Matching Xu Zhang, Hao Li, Mang Ye

AAAI 2024 Plug-in Diffusion Model for Sequential Recommendation Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang

ICLR 2023 Avoiding Spurious Correlations via Logit Correction Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda

CVPR 2023 CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose Xu Zhang, Wen Wang, Zhe Chen, Yufei Xu, Jing Zhang, Dacheng Tao

ICCV 2023 FashionNTM: Multi-Turn Fashion Image Retrieval via Cascaded Memory Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal, Xu Zhang, Yue Wu, Rakesh Chada, Pradeep Natarajan, Henrik I. Christensen

L4DC 2023 Top-K Data Selection via Distributed Sample Quantile Inference Xu Zhang, Marcos M. Vasconcelos

ICLR 2023 Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

AAAI 2023 User-Controllable Arbitrary Style Transfer via Entropy Regularization Jiaxin Cheng, Yue Wu, Ayush Jaiswal, Xu Zhang, Pradeep Natarajan, Prem Natarajan

NeurIPS 2022 Byzantine-Tolerant Federated Gaussian Process Regression for Streaming Data Xu Zhang, Zhenyuan Yuan, Minghui Zhu

CVPR 2022 Large-Scale Video Panoptic Segmentation in the Wild: A Benchmark Jiaxu Miao, Xiaohan Wang, Yu Wu, Wei Li, Xu Zhang, Yunchao Wei, Yi Yang

CVPRW 2022 One-Stage Object Referring with Gaze Estimation Jianhang Chen, Xu Zhang, Yue Wu, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach

ICML 2022 Personalized Federated Learning via Variational Bayesian Inference Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao

AAAI 2021 Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang

ECML-PKDD 2020 Social Influence Attentive Neural Network for Friend-Enhanced Recommendation Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin

CVPRW 2019 Urban Semantic 3D Reconstruction from Multiview Satellite Imagery Matthew J. Leotta, Chengjiang Long, Bastien Jacquet, Matthieu Zins, Dan Lipsa, Jie Shan, Bo Xu, Zhixin Li, Xu Zhang, Shih-Fu Chang, Matthew Purri, Jia Xue, Kristin J. Dana

WACV 2018 FARSA: Fully Automated Roadway Safety Assessment Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald R. Souleyrette, Nathan Jacobs

CVPR 2017 Learning Discriminative and Transformation Covariant Local Feature Detectors Xu Zhang, Felix X. Yu, Svebor Karaman, Shih-Fu Chang

ICCV 2017 Learning Spread-Out Local Feature Descriptors Xu Zhang, Felix X. Yu, Sanjiv Kumar, Shih-Fu Chang

ICCV 2015 Fast Orthogonal Projection Based on Kronecker Product Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shi-Fu Chang