Meng, Deyu

99 publications

ICLR 2026 Separable Neural Networks: Approximation Theory, NTK Regime, and Preconditioned Gradient Descent Yisi Luo, Deyu Meng

ICLR 2026 Tucker-FNO: Tensor Tucker-Fourier Neural Operator and Its Universal Approximation Theory Guancheng Zhou, Zelin Zeng, Yisi Luo, Qi Xie, Deyu Meng

ICLR 2026 Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework Ruihua Chen, Yisi Luo, Bangyu Wu, Deyu Meng

CVPR 2025 A Regularization-Guided Equivariant Approach for Image Restoration Yulu Bai, Jiahong Fu, Qi Xie, Deyu Meng

CVPR 2025 AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation Datao Tang, Xiangyong Cao, Xuan Wu, Jialin Li, Jing Yao, Xueru Bai, Dongsheng Jiang, Yin Li, Deyu Meng

IJCAI 2025 Beyond Low-Rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm Jiangjun Peng, Yisi Luo, Xiangyong Cao, Shuang Xu, Deyu Meng

AAAI 2025 Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery Yanyi Li, Xi Zhang, Yisi Luo, Deyu Meng

TMLR 2025 Diversity-Enhanced and Classification-Aware Prompt Learning for Few-Shot Learning via Stable Diffusion Gaoqin Chang, Jun Shu, Xiang Yuan, Deyu Meng

ICCV 2025 Graph Domain Adaptation with Dual-Branch Encoder and Two-Level Alignment for Whole Slide Image-Based Survival Prediction Yuntao Shou, Xiangyong Cao, Peiqiang Yan, Qiao Hui, Qian Zhao, Deyu Meng

ICCV 2025 Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image Shuang Xu, Zixiang Zhao, Haowen Bai, Chang Yu, Jiangjun Peng, Xiangyong Cao, Deyu Meng

ICML 2025 Improving Memory Efficiency for Training KANs via Meta Learning Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu

NeurIPS 2025 Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion Xi Zhang, Yanyi Li, Yisi Luo, Qi Xie, Deyu Meng

NeurIPS 2025 Polyline Path Masked Attention for Vision Transformer Zhongchen Zhao, Chaodong Xiao, Hui Lin, Qi Xie, Lei Zhang, Deyu Meng

CVPR 2025 Rotation-Equivariant Self-Supervised Method in Image Denoising Hanze Liu, Jiahong Fu, Qi Xie, Deyu Meng

ICLR 2025 SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei

CVPR 2025 STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation Yisi Luo, Xile Zhao, Kai Ye, Deyu Meng

CVPR 2025 SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images Kaiyu Li, Ruixun Liu, Xiangyong Cao, Xueru Bai, Feng Zhou, Deyu Meng, Zhi Wang

NeurIPS 2025 Semi-Supervised Regression with Heteroscedastic Pseudo-Labels Xueqing Sun, Renzhen Wang, Quanziang Wang, Yichen Wu, Xixi Jia, Deyu Meng

ICLR 2025 Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion Chaodong Xiao, Minghan Li, Zhengqiang Zhang, Deyu Meng, Lei Zhang

CVPR 2025 Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and a Novel Method Pan Yin, Kaiyu Li, Xiangyong Cao, Jing Yao, Lei Liu, Xueru Bai, Feng Zhou, Deyu Meng

ECCV 2024 Blind Image Deconvolution by Generative-Based Kernel Prior and Initializer via Latent Encoding Jiangtao Zhang, Zongsheng Yue, Hui Wang, Qian Zhao, Deyu Meng

ECCV 2024 DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion Junjie Guo, Chenqiang Gao, Fangcen Liu, Deyu Meng, Xinbo Gao

NeurIPS 2024 Globally Q-Linear Gauss-Newton Method for Overparameterized Non-Convex Matrix Sensing Xixi Jia, Fangchen Feng, Deyu Meng, Defeng Sun

AAAI 2024 Gramformer: Learning Crowd Counting via Graph-Modulated Transformer Hui Lin, Zhiheng Ma, Xiaopeng Hong, Qinnan Shangguan, Deyu Meng

CVPR 2024 HIR-Diff: Unsupervised Hyperspectral Image Restoration via Improved Diffusion Models Li Pang, Xiangyu Rui, Long Cui, Hongzhong Wang, Deyu Meng, Xiangyong Cao

ECCV 2024 InfMAE: A Foundation Model in the Infrared Modality Fangcen Liu, Chenqiang Gao, Yaming Zhang, Junjie Guo, Jinghao Wang, Deyu Meng

ICLR 2024 Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei

AAAI 2024 Which Is More Effective in Label Noise Cleaning, Correction or Filtering? Gaoxia Jiang, Jia Zhang, Xuefei Bai, Wenjian Wang, Deyu Meng

ICCV 2023 CBA: Improving Online Continual Learning via Continual Bias Adaptor Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng

ICCV 2023 DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool

ICCV 2023 Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian

CVPR 2023 Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection Chuandong Liu, Chenqiang Gao, Fangcen Liu, Pengcheng Li, Deyu Meng, Xinbo Gao

ICLR 2023 Imbalanced Semi-Supervised Learning with Bias Adaptive Classifier Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng

CVPR 2023 Interactive Segmentation as Gaussion Process Classification Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

JMLR 2023 Learning an Explicit Hyper-Parameter Prediction Function Conditioned on Tasks Jun Shu, Deyu Meng, Zongben Xu

ICCV 2023 PanFlowNet: A Flow-Based Deep Network for Pan-Sharpening Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng

NeurIPS 2023 Preconditioning Matters: Fast Global Convergence of Non-Convex Matrix Factorization via Scaled Gradient Descent Xixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng

CVPR 2023 Probability-Based Global Cross-Modal Upsampling for Pansharpening Zeyu Zhu, Xiangyong Cao, Man Zhou, Junhao Huang, Deyu Meng

CVPR 2023 Regularize Implicit Neural Representation by Itself Zhemin Li, Hongxia Wang, Deyu Meng

AAAI 2023 Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang

JMLR 2023 Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations Junxiong Jia, Yanni Wu, Peijun Li, Deyu Meng

IJCAI 2022 Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng

CVPR 2022 Blind Image Super-Resolution with Elaborate Degradation Modeling on Noise and Kernel Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong

NeurIPS 2022 Deep Fourier Up-Sampling Man Zhou, Hu Yu, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, Chongyi Li

ICML 2022 Fast and Provable Nonconvex Tensor RPCA Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao

CVPR 2022 HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging Yisi Luo, Xi-Le Zhao, Deyu Meng, Tai-Xiang Jiang

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

CVPR 2022 SS3D: Sparsely-Supervised 3D Object Detection from Point Cloud Chuandong Liu, Chenqiang Gao, Fangcen Liu, Jiang Liu, Deyu Meng, Xinbo Gao

NeurIPS 2022 Tensor Wheel Decomposition and Its Tensor Completion Application Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou, Deyu Meng

AAAI 2021 Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

CVPR 2021 Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors Haiquan Qiu, Yao Wang, Deyu Meng

CVPR 2021 From Rain Generation to Rain Removal Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng

CVPR 2021 Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng

AAAI 2021 Learning to Purify Noisy Labels via Meta Soft Label Corrector Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng

CVPR 2021 Semi-Supervised Video Deraining with Dynamical Rain Generator Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng

CVPR 2021 TSGCNet: Discriminative Geometric Feature Learning with Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen

CVPR 2020 A Model-Driven Deep Neural Network for Single Image Rain Removal Hong Wang, Qi Xie, Qian Zhao, Deyu Meng

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

ECCV 2020 Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng

CVPR 2020 LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng

ECCV 2020 Momentum Batch Normalization for Deep Learning with Small Batch Size Hongwei Yong, Jianqiang Huang, Deyu Meng, Xiansheng Hua, Lei Zhang

JMLR 2020 Self-Paced Multi-View Co-Training Fan Ma, Deyu Meng, Xuanyi Dong, Yi Yang

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

CVPR 2019 Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu

CVPRW 2019 NTIRE 2019 Challenge on Real Image Denoising: Methods and Results Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao

CVPR 2019 Progressive Image Deraining Networks: A Better and Simpler Baseline Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng

CVPR 2019 Semi-Supervised Transfer Learning for Image Rain Removal Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu

NeurIPS 2019 Variational Denoising Network: Toward Blind Noise Modeling and Removal Zongsheng Yue, Hongwei Yong, Qian Zhao, Deyu Meng, Lei Zhang

CVPR 2018 DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation Jiang Liu, Chenqiang Gao, Deyu Meng, Alexander G. Hauptmann

ECCV 2018 PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-Modalities Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng

CVPR 2018 Video Rain Streak Removal by Multiscale Convolutional Sparse Coding Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shuhang Gu, Jing Tao, Deyu Meng

ICCV 2017 Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation Shuhang Gu, Deyu Meng, Wangmeng Zuo, Lei Zhang

CVPR 2017 SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos Dingwen Zhang, Le Yang, Deyu Meng, Dong Xu, Junwei Han

ICML 2017 Self-Paced Co-Training Fan Ma, Deyu Meng, Qi Xie, Zina Li, Xuanyi Dong

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

ICCV 2017 Tensor RPCA by Bayesian CP Factorization with Complex Noise Qiong Luo, Zhi Han, Xi'ai Chen, Yao Wang, Deyu Meng, Dong Liang, Yandong Tang

IJCAI 2016 Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-Paced Curriculum Learning Dingwen Zhang, Deyu Meng, Long Zhao, Junwei Han

IJCAI 2016 Learning to Detect Concepts from Webly-Labeled Video Data Junwei Liang, Lu Jiang, Deyu Meng, Alexander G. Hauptmann

AAAI 2016 Multi-Objective Self-Paced Learning Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao

CVPR 2016 Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang

CVPR 2016 Robust Tensor Factorization with Unknown Noise Xi'ai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Yandong Tang

IJCAI 2016 Self-Paced Boost Learning for Classification Te Pi, Xi Li, Zhongfei Zhang, Deyu Meng, Fei Wu, Jun Xiao, Yueting Zhuang

CVPR 2016 The Solution Path Algorithm for Identity-Aware Multi-Object Tracking Shoou-I Yu, Deyu Meng, Wangmeng Zuo, Alexander Hauptmann

AAAI 2016 Two-Stream Contextualized CNN for Fine-Grained Image Classification Jiang Liu, Chenqiang Gao, Deyu Meng, Wangmeng Zuo

ICCV 2015 A Novel Sparsity Measure for Tensor Recovery Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu

ICCV 2015 A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han

AAAI 2015 Complex Event Detection via Event Oriented Dictionary Learning Yan Yan, Yi Yang, Haoquan Shen, Deyu Meng, Gaowen Liu, Alexander G. Hauptmann, Nicu Sebe

ICCV 2015 Convolutional Sparse Coding for Image Super-Resolution Shuhang Gu, Wangmeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, Lei Zhang

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 Curriculum Learning Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann

AAAI 2015 Self-Paced Learning for Matrix Factorization Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann

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

NeurIPS 2014 Self-Paced Learning with Diversity Lu Jiang, Deyu Meng, Shoou-I Yu, Zhenzhong Lan, Shiguang Shan, Alexander Hauptmann

CVPR 2014 Transitive Distance Clustering with K-Means Duality Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu

ECCV 2014 Unsupervised Video Adaptation for Parsing Human Motion Haoquan Shen, Shoou-I Yu, Yi Yang, Deyu Meng, Alexander G. Hauptmann

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 2013 A Generalized Iterated Shrinkage Algorithm for Non-Convex Sparse Coding Wangmeng Zuo, Deyu Meng, Lei Zhang, Xiangchu Feng, David Zhang

ICCV 2013 Robust Matrix Factorization with Unknown Noise Deyu Meng, Fernando De La Torre