| 2026 | AAAI | DynamicEarth: How Far Are We from Open-Vocabulary Change Detection? | Kaiyu Li, Xiangyong Cao, Yupeng Deng, Chao Pang, Zepeng Xin, Hui Qiao, Tieliang Gong, Deyu Meng, Zhi Wang |
| 2025 | AAAI | Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery. | Yanyi Li, Xi Zhang, Yisi Luo, Deyu Meng |
| 2025 | CVPR | A Regularization-Guided Equivariant Approach for Image Restoration. | Yulu Bai, Jiahong Fu, Qi Xie, Deyu Meng |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Rotation-Equivariant Self-Supervised Method in Image Denoising. | Hanze Liu, Jiahong Fu, Qi Xie, Deyu Meng |
| 2025 | CVPR | STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation. | Yisi Luo, Xile Zhao, Kai Ye, Deyu Meng |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | ICCV | Graph Domain Adaptation With Dual-Branch Encoder and Two-Level Alignment for Whole Slide Image-Based Survival Prediction. | Yuntao Shou, Xiangyong Cao, Peiqiang Yan, Qiaohui, Qian Zhao, Deyu Meng |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion. | Chaodong Xiao, Minghan Li, Zhengqiang Zhang, Deyu Meng, Lei Zhang |
| 2025 | ICML | Improving Memory Efficiency for Training KANs via Meta Learning. | Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu |
| 2025 | IJCAI | Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm. | Jiangjun Peng, Yisi Luo, Xiangyong Cao, Shuang Xu, Deyu Meng |
| 2024 | AAAI | Which Is More Effective in Label Noise Cleaning, Correction or Filtering? | Gaoxia Jiang, Jia Zhang, Xuefei Bai, Wenjian Wang, Deyu Meng |
| 2024 | AAAI | Gramformer: Learning Crowd Counting via Graph-Modulated Transformer. | Hui Lin, Zhiheng Ma, Xiaopeng Hong, Qinnan Shangguan, Deyu Meng |
| 2024 | CVPR | HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models. | Li Pang, Xiangyu Rui, Long Cui, Hongzhong Wang, Deyu Meng, Xiangyong Cao |
| 2024 | ECCV | DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion. | Junjie Guo, Chenqiang Gao, Fangcen Liu, Deyu Meng, Xinbo Gao |
| 2024 | ECCV | InfMAE: A Foundation Model in the Infrared Modality. | Fangcen Liu, Chenqiang Gao, Yaming Zhang, Junjie Guo, Jinghao Wang, Deyu Meng |
| 2024 | ECCV | Blind Image Deconvolution by Generative-Based Kernel Prior and Initializer via Latent Encoding. | Jiangtao Zhang, Zongsheng Yue, Hui Wang, Qian Zhao, Deyu Meng |
| 2024 | ICLR | Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction. | Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei |
| 2023 | AAAI | Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. | Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang |
| 2023 | CVPR | Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection. | Chuandong Liu, Chenqiang Gao, Fangcen Liu, Pengcheng Li, Deyu Meng, Xinbo Gao |
| 2023 | CVPR | Regularize implicit neural representation by itself. | Zhemin Li, Hongxia Wang, Deyu Meng |
| 2023 | CVPR | Interactive Segmentation as Gaussian Process Classification. | Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng |
| 2023 | CVPR | Probability-based Global Cross-modal Upsampling for Pansharpening. | Zeyu Zhu, Xiangyong Cao, Man Zhou, Junhao Huang, Deyu Meng |
| 2023 | ICCV | Dual Meta-Learning with Longitudinally Generalized 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 |
| 2023 | ICCV | CBA: Improving Online Continual Learning via Continual Bias Adaptor. | Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng |
| 2023 | ICCV | PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. | Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng |
| 2023 | ICCV | 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 |
| 2023 | ICLR | Imbalanced Semi-supervised Learning with Bias Adaptive Classifier. | Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng |
| 2023 | MICCAI | NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants. | Chenyu Xue, Fan Wang, Yuanzhuo Zhu, Hui Li, Deyu Meng, Dinggang Shen, Chunfeng Lian |
| 2022 | ACCV | EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network. | Hu Zhang, Keke Zu, Jian Lu, Yuru Zou, Deyu Meng |
| 2022 | CVPR | SS3D: Sparsely-Supervised 3D Object Detection from Point Cloud. | Chuandong Liu, Chenqiang Gao, Fangcen Liu, Jiang Liu, Deyu Meng, Xinbo Gao |
| 2022 | CVPR | HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging. | Yi-Si Luo, Xile Zhao, Deyu Meng, Tai-Xiang Jiang |
| 2022 | CVPR | 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 |
| 2022 | ECCV | KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. | Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu |
| 2022 | ICML | Fast and Provable Nonconvex Tensor RPCA. | Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao |
| 2022 | IJCAI | Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. | Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng |
| 2022 | MICCAI | Orientation-Shared Convolution Representation for CT Metal Artifact Learning. | Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Learning to Purify Noisy Labels via Meta Soft Label Corrector. | Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng |
| 2021 | CVPR | Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors. | Haiquan Qiu, Yao Wang, Deyu Meng |
| 2021 | CVPR | Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise. | Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng |
| 2021 | CVPR | From Rain Generation to Rain Removal. | Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng |
| 2021 | CVPR | Semi-Supervised Video Deraining With Dynamical Rain Generator. | Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng |
| 2021 | CVPR | 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 |
| 2021 | MICCAI | Instance-Based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image. | Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li |
| 2021 | MICCAI | Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network. | Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li |
| 2021 | MICCAI | InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. | Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng |
| 2021 | MICCAI | Neighbor Matching for Semi-supervised Learning. | Renzhen Wang, Yichen Wu, Huai Chen, Lisheng Wang, Deyu Meng |
| 2020 | CVPR | 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 |
| 2020 | CVPR | A Model-Driven Deep Neural Network for Single Image Rain Removal. | Hong Wang, Qi Xie, Qian Zhao, Deyu Meng |
| 2020 | ECCV | Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. | Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu |
| 2020 | ECCV | Momentum Batch Normalization for Deep Learning with Small Batch Size. | Hongwei Yong, Jianqiang Huang, Deyu Meng, Xian-Sheng Hua, Lei Zhang |
| 2020 | ECCV | Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation. | Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng |
| 2020 | MICCAI | LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images. | Huai Chen, Shaoli Song, Xiuying Wang, Renzhen Wang, Deyu Meng, Lisheng Wang |
| 2019 | CVPR | 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 |
| 2019 | CVPR | Progressive Image Deraining Networks: A Better and Simpler Baseline. | Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng |
| 2019 | CVPR | Semi-Supervised Transfer Learning for Image Rain Removal. | Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu |
| 2019 | CVPR | Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. | Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu |
| 2019 | MICCAI | Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network. | Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng |
| 2018 | CVPR | DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation. | Jiang Liu, Chenqiang Gao, Deyu Meng, Alexander G. Hauptmann |
| 2018 | CVPR | Video Rain Streak Removal by Multiscale Convolutional Sparse Coding. | Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shuhang Gu, Jing Tao, Deyu Meng |
| 2018 | ECCV | PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-Modalities. | Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng |
| 2017 | CVPR | SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos. | Dingwen Zhang, Le Yang, Deyu Meng, Dong Xu, Junwei Han |
| 2017 | ICCV | Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation. | Shuhang Gu, Deyu Meng, Wangmeng Zuo, Lei Zhang |
| 2017 | ICCV | Tensor RPCA by Bayesian CP Factorization with Complex Noise. | Qiong Luo, Zhi Han, Xiai Chen, Yao Wang, Deyu Meng, Dong Liang, Yandong Tang |
| 2017 | ICCV | Should We Encode Rain Streaks in Video as Deterministic or Stochastic? | Wei Wei, Lixuan Yi, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu |
| 2017 | ICML | Self-Paced Co-training. | Fan Ma, Deyu Meng, Qi Xie, Zina Li, Xuanyi Dong |
| 2017 | IGARSS | A co-training approach to the classification of local climate zones with multi-source data. | Yong Xu, Fan Ma, Deyu Meng, Chao Ren, Yee Leung |
| 2016 | AAAI | Multi-Objective Self-Paced Learning. | Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao |
| 2016 | AAAI | Two-Stream Contextualized CNN for Fine-Grained Image Classification. | Jiang Liu, Chenqiang Gao, Deyu Meng, Wangmeng Zuo |
| 2016 | CVPR | Robust Tensor Factorization with Unknown Noise. | Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Yandong Tang |
| 2016 | CVPR | Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization. | Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang |
| 2016 | CVPR | The Solution Path Algorithm for Identity-Aware Multi-object Tracking. | Shoou-I Yu, Deyu Meng, Wangmeng Zuo, Alexander G. Hauptmann |
| 2016 | IJCAI | Learning to Detect Concepts from Webly-Labeled Video Data. | Junwei Liang, Lu Jiang, Deyu Meng, Alexander G. Hauptmann |
| 2016 | IJCAI | Self-Paced Boost Learning for Classification. | Te Pi, Xi Li, Zhongfei Zhang, Deyu Meng, Fei Wu, Jun Xiao, Yueting Zhuang |
| 2016 | IJCAI | Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-Paced Curriculum Learning. | Dingwen Zhang, Deyu Meng, Long Zhao, Junwei Han |
| 2015 | AAAI | Self-Paced Curriculum Learning. | Lu Jiang, Deyu Meng, Qian Zhao, Shiguang Shan, Alexander G. Hauptmann |
| 2015 | AAAI | Complex Event Detection via Event Oriented Dictionary Learning. | Yan Yan, Yi Yang, Haoquan Shen, Deyu Meng, Gaowen Liu, Alexander G. Hauptmann, Nicu Sebe |
| 2015 | AAAI | Self-Paced Learning for Matrix Factorization. | Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann |
| 2015 | ICCV | Low-Rank Matrix Factorization under General Mixture Noise Distributions. | Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu |
| 2015 | ICCV | Convolutional Sparse Coding for Image Super-Resolution. | Shuhang Gu, Wangmeng Zuo, Qi Xie, Deyu Meng, Xiangchu Feng, Lei Zhang |
| 2015 | ICCV | A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection. | Dingwen Zhang, Deyu Meng, Chao Li, Lu Jiang, Qian Zhao, Junwei Han |
| 2015 | ICCV | A Novel Sparsity Measure for Tensor Recovery. | Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu |
| 2014 | ACCV | A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition. | Luyu Yang, Chenqiang Gao, Deyu Meng, Lu Jiang |
| 2014 | CVPR | Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising. | Yi Peng, Deyu Meng, Zongben Xu, Chenqiang Gao, Yi Yang, Biao Zhang |
| 2014 | CVPR | Transitive Distance Clustering with K-Means Duality. | Zhiding Yu, Chunjing Xu, Deyu Meng, Zhuo Hui, Fanyi Xiao, Wenbo Liu, Jianzhuang Liu |
| 2014 | ECCV | Unsupervised Video Adaptation for Parsing Human Motion. | Haoquan Shen, Shoou-I Yu, Yi Yang, Deyu Meng, Alexander G. Hauptmann |
| 2014 | ICML | Robust Principal Component Analysis with Complex Noise. | Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang |
| 2013 | AAAI | A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries. | Deyu Meng, Zongben Xu, Lei Zhang, Ji Zhao |
| 2013 | ICCV | Robust Matrix Factorization with Unknown Noise. | Deyu Meng, Fernando De la Torre |
| 2013 | ICCV | A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding. | Wangmeng Zuo, Deyu Meng, Lei Zhang, Xiangchu Feng, David Zhang |
| 2006 | ISNN | A New Pre-processing Method for Regression. | Wenfeng Jing, Deyu Meng, Ming-Wei Dai, Zongben Xu |
| 2006 | ISNN | Approximation Bound of Mixture Networks in | Zongben Xu, Jianjun Wang, Deyu Meng |
| 2005 | CIS | A New Approach for Regression: Visual Regression Approach. | Deyu Meng, Chen Xu, Wenfeng Jing |
| 2005 | ISNN | A New Approach for Classification: Visual Simulation Point of View. | Zongben Xu, Deyu Meng, Wenfeng Jing |