Xu, Zongben

30 publications

ICML 2025 Improving Memory Efficiency for Training KANs via Meta Learning Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu
NeurIPS 2025 Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport Taoran Zheng, Yan Yang, Xing Li, Xiang Gu, Jian Sun, Zongben Xu
JMLR 2023 Learning an Explicit Hyper-Parameter Prediction Function Conditioned on Tasks Jun Shu, Deyu Meng, Zongben Xu
NeurIPS 2023 Optimal Transport-Guided Conditional Score-Based Diffusion Model Xiang Gu, Liwei Yang, Jian Sun, Zongben Xu
ICCV 2023 Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using Only Images Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu
ECCV 2022 KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu
NeurIPS 2022 Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu
NeurIPS 2021 Adversarial Reweighting for Partial Domain Adaptation Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu
CVPR 2021 Training Networks in Null Space of Feature Covariance for Continual Learning Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu
ECCV 2020 Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu
ICLR 2020 Learning Neural Surrogate Model for Warm-Starting Bayesian Optimization Haotian Zhang, Jian Sun, Zongben Xu
AAAI 2019 HyperAdam: A Learnable Task-Adaptive Adam for Network Training Shipeng Wang, Jian Sun, Zongben Xu
NeurIPS 2019 Meta-Weight-Net: Learning an Explicit Mapping for Sample Weighting Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng
NeurIPS 2019 Neural Diffusion Distance for Image Segmentation Jian Sun, Zongben Xu
AAAI 2018 Margin Based PU Learning Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin
ICCV 2017 Should We Encode Rain Streaks in Video as Deterministic or Stochastic? Wei Wei, Lixuan Yi, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu
NeurIPS 2016 Deep ADMM-Net for Compressive Sensing MRI Yan Yang, Jian Sun, Huibin Li, Zongben Xu
CVPR 2016 Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang
ICCV 2015 A Novel Sparsity Measure for Tensor Recovery Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu
CVPR 2015 Learning a Convolutional Neural Network for Non-Uniform Motion Blur Removal Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce
ICCV 2015 Low-Rank Matrix Factorization Under General Mixture Noise Distributions Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu
AAAI 2015 Self-Paced Learning for Matrix Factorization Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann
MLJ 2014 Almost Optimal Estimates for Approximation and Learning by Radial Basis Function Networks Shaobo Lin, Xia Liu, Yuanhua Rong, Zongben Xu
CVPR 2014 Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising Yi Peng, Deyu Meng, Zongben Xu, Chenqiang Gao, Yi Yang, Biao Zhang
ICML 2014 Robust Principal Component Analysis with Complex Noise Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang
AAAI 2013 A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries Deyu Meng, Zongben Xu, Lei Zhang, Ji Zhao
ICCV 2011 Video Primal Sketch: A Generic Middle-Level Representation of Video Zhi Han, Zongben Xu, Song-Chun Zhu
MLJ 2009 The Generalization Performance of ERM Algorithm with Strongly Mixing Observations Bin Zou, Luoqing Li, Zongben Xu
CVPR 2008 Image Super-Resolution Using Gradient Profile Prior Jian Sun, Zongben Xu, Heung-Yeung Shum
CVPR 2007 Flash Cut: Foreground Extraction with Flash and No-Flash Image Pairs Jian Sun, Jian Sun, Sing Bing Kang, Zongben Xu, Xiaoou Tang, Heung-Yeung Shum