Semi-Supervised Discriminant Analysis via Spectral Transduction. - Deming Zhai; Hong Chang 001; Bo Li 086; Shiguang Shan; Xilin Chen 001; Wen Gao 001 (BMVC, 2009)

Manifold Alignment via Corresponding Projections. - Deming Zhai; Bo Li 086; Hong Chang 001; Shiguang Shan; Xilin Chen 001; Wen Gao 001 (BMVC, 2010)

Side information extrapolation with temporal and spatial consistency. - Xianming Liu; Deming Zhai; Debin Zhao; Ruiqin Xiong; Siwei Ma; Wen Gao 001 (ISCAS, 2011)

Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression. - Xianming Liu; Deming Zhai; Guangtao Zhai; Debin Zhao; Ruiqin Xiong; Wen Gao 001 (DCC, 2012)

Web image interpolation via weighted total least squares regression. - Xianming Liu; Deming Zhai; Guangtao Zhai; Debin Zhao; Wen Gao 001 (ICASSP, 2012)

Multiview Metric Learning with Global Consistency and Local Smoothness. - Deming Zhai; Hong Chang 001; Shiguang Shan; Xilin Chen 001; Wen Gao 001 (ACM Trans. Intell. Syst. Technol., 2012)

Image Super-Resolution via Hierarchical and Collaborative Sparse Representation. - Xianming Liu; Deming Zhai; Debin Zhao; Wen Gao 001 (DCC, 2013)

Progressive Image Restoration through Hybrid Graph Laplacian Regularization. - Deming Zhai; Xianming Liu; Debin Zhao; Hong Chang 001; Wen Gao 001 (DCC, 2013)

Instance-specific canonical correlation analysis for pose alignment. - Deming Zhai; Hong Chang 001; Xilin Chen 001; Wen Gao 001 (ICIP, 2013)

Spatial error concealment via model based coupled sparse representation. - Deming Zhai; Xianming Liu; Jiantao Zhou 001; Debin Zhao; Wen Gao 001 (ICME Workshops, 2013)

Parametric Local Multimodal Hashing for Cross-View Similarity Search. - Deming Zhai; Hong Chang 001; Yi Zhen; Xianming Liu; Xilin Chen 001; Wen Gao 001 (IJCAI, 2013)

Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding. - Xianming Liu; Gene Cheung; Deming Zhai; Debin Zhao; Hiroshi Sankoh; Sei Naito (ICIP, 2014)

Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework. - Xianming Liu; Deming Zhai; Debin Zhao; Guangtao Zhai; Wen Gao 001 (IEEE Trans. Image Process., 2014)

Sparsity-based joint gaze correction and face beautification for conferencing video. - Xianming Liu; Gene Cheung; Deming Zhai; Debin Zhao (VCIP, 2015)

Instance-specific canonical correlation analysis. - Deming Zhai; Yu Zhang 006; Dit-Yan Yeung; Hong Chang 001; Xilin Chen 001; Wen Gao 001 (Neurocomputing, 2015)

Compressive Sampling-Based Image Coding for Resource-Deficient Visual Communication. - Xianming Liu; Deming Zhai; Jiantao Zhou 001; Xinfeng Zhang 001; Debin Zhao; Wen Gao 001 (IEEE Trans. Image Process., 2016)

Depth Image Denoising via Collaborative Graph Fourier Transform. - Rong Chen; Xianming Liu; Deming Zhai; Debin Zhao (IFTC, 2017)

Sparsity-Based Image Error Concealment via Adaptive Dual Dictionary Learning and Regularization. - Xianming Liu; Deming Zhai; Jiantao Zhou 001; Shiqi Wang 001; Debin Zhao; Huijun Gao (IEEE Trans. Image Process., 2017)

Noise-Aware Super-Resolution of Depth Maps Via Graph-Based Plug-And-Play Framework. - Rong Chen; Deming Zhai; Xianming Liu; Debin Zhao (ICIP, 2018)

Robust Contrast Enhancement via Graph-Based Cartoon-Texture Decomposition. - Deming Zhai; Xianming Lu; Xiangyang Ji; Yuanchao Bai; Debin Zhao; Wen Gao 001 (ICME, 2018)

Adaptive Screen Content Image Enhancement Strategy using Layer-based Segmentation. - Zhaohui Che; Guangtao Zhai; Ke Gu 001; Patrick Le Callet; Xianming Liu; Deming Zhai; Xiao Gu 001 (ISCAS, 2018)

Color-Guided Depth Map Super-Resolution via Joint Graph Laplacian and Gradient Consistency Regularization. - Rong Chen; Deming Zhai; Xianming Liu; Debin Zhao (MMSP, 2018)

Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems. - Deming Zhai; Ao Li; Yang Li; Yang Liu 006; GuoJun Liu; Xianming Liu; Maozu Guo 001 (PCM (1), 2018)

Weakly supervised semantic segmentation based on EM algorithm with localization clues. - Yang Li; Yang Liu 006; GuoJun Liu; Deming Zhai; Maozu Guo 001 (Neurocomputing, 2018)

Parametric local multiview hamming distance metric learning. - Deming Zhai; Xianming Liu; Hong Chang 001; Yi Zhen; Xilin Chen 001; Maozu Guo 001; Wen Gao 001 (Pattern Recognit., 2018)

Supervised Distributed Hashing for Large-Scale Multimedia Retrieval. - Deming Zhai; Xianming Liu; Xiangyang Ji; Debin Zhao; Shin'ichi Satoh 001; Wen Gao 001 (IEEE Trans. Multim., 2018)

Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network. - He Sun; Zhiwei Zhong; Deming Zhai; Xianming Liu; Junjun Jiang (IFTC, 2019)

Multi-Scale Depthwise Separable Convolutional Neural Network for Hyperspectral Image Classification. - Jiliang Yan; Deming Zhai; Yi Niu; Xianming Liu; Junjun Jiang (IFTC, 2019)

Joint Gaze Correction and Face Beautification for Conference Video Using Dual Sparsity Prior. - Deming Zhai; Xianming Liu; Xiangyang Ji; Debin Zhao; Wen Gao 001 (IEEE Trans. Ind. Electron., 2019)

Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds. - Xianming Liu; Deming Zhai; Rong Chen; Xiangyang Ji; Debin Zhao; Wen Gao 001 (IEEE Trans. Image Process., 2019)

Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations. - Xianming Liu; Deming Zhai; Rong Chen; Xiangyang Ji; Debin Zhao; Wen Gao 001 (IEEE Trans. Image Process., 2019)

Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. - Chenyang Wang 002; Zhiwei Zhong; Junjun Jiang; Deming Zhai; Xianming Liu (ICASSP, 2020)

ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. - Yongsen Zhao; Deming Zhai; Junjun Jiang; Xianming Liu (ICASSP, 2020)

Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. - Zhanjian Shen; Deming Zhai; Xianming Liu; Junjun Jiang (ICIP, 2020)

Single Image Deraining via Scale-space Invariant Attention Neural Network. - Bo Pang; Deming Zhai; Junjun Jiang; Xianming Liu (ACM Multimedia, 2020)

Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis. - Ruifeng Shi; Deming Zhai; Xianming Liu; Junjun Jiang; Wen Gao 001 (CoRR, 2020)

Unsupervised Constrative Person Re-identification. - Bo Pang; Deming Zhai; Junjun Jiang; Xianming Liu (CoRR, 2020)

Contrast Enhancement via Dual Graph Total Variation-Based Image Decomposition. - Xianming Liu; Deming Zhai; Yuanchao Bai; Xiangyang Ji; Wen Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization. - Yongbing Zhang 002; Yihui Feng; Xianming Liu; Deming Zhai; Xiangyang Ji; Haoqian Wang; Qionghai Dai (IEEE Trans. Circuits Syst. Video Technol., 2020)

Learning with Noisy Labels via Sparse Regularization. - Xiong Zhou; Xianming Liu; Chenyang Wang 002; Deming Zhai; Junjun Jiang; Xiangyang Ji (ICCV, 2021)

Target-guided Adaptive Base Class Reweighting for Few-Shot Learning. - Jiliang Yan; Deming Zhai; Junjun Jiang; Xianming Liu (ACM Multimedia, 2021)

Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. - Yiqi Zhong; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CVPR, 2022)

Learning Towards The Largest Margins. - Xiong Zhou; Xianming Liu; Deming Zhai; Junjun Jiang; Xin Gao; Xiangyang Ji (ICLR, 2022)

Prototype-Anchored Learning for Learning with Imperfect Annotations. - Xiong Zhou; Xianming Liu; Deming Zhai; Junjun Jiang; Xin Gao; Xiangyang Ji (ICML, 2022)

ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. - Jinwang Pan; Deming Zhai; Yuanchao Bai; Junjun Jiang; Debin Zhao; Xianming Liu (ACM Multimedia, 2022)

Hybrid Conditional Deep Inverse Tone Mapping. - Tong Shao; Deming Zhai; Junjun Jiang; Xianming Liu (ACM Multimedia, 2022)

Fully Unsupervised Person Re-Identification via Selective Contrastive Learning. - Bo Pang; Deming Zhai; Junjun Jiang; Xianming Liu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification. - Deming Zhai; Ruifeng Shi; Junjun Jiang; Xianming Liu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Learning Lossless Compression for High Bit-Depth Medical Imaging. - Kai Wang 070; Yuanchao Bai; Deming Zhai; Daxin Li; Junjun Jiang; Xianming Liu (ICME, 2023)

Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. - Yiqi Zhong; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CoRR, 2023)

On the Dynamics Under the Unhinged Loss and Beyond. - Xiong Zhou; Xianming Liu; Hanzhang Wang; Deming Zhai; Junjun Jiang; Xiangyang Ji (J. Mach. Learn. Res., 2023)

Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention. - Hanzhang Wang; Deming Zhai; Xianming Liu; Junjun Jiang; Wen Gao 001 (IEEE Trans. Image Process., 2023)

Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. - Xiong Zhou; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling. - Wenbo Zhao 004; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Super-Resolving Face Image by Facial Parsing Information. - Chenyang Wang 002; Junjun Jiang; Zhiwei Zhong; Deming Zhai; Xianming Liu (IEEE Trans. Biom. Behav. Identity Sci., 2023)

Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. - Xiong Zhou; Xianming Liu; Feilong Zhang 002; Gang Wu 010; Deming Zhai; Junjun Jiang; Xiangyang Ji (ICLR, 2024)

$ epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise. - Jialiang Wang 003; Xiong Zhou; Deming Zhai; Junjun Jiang; Xiangyang Ji; Xianming Liu (NeurIPS, 2024)

Enhancing Privacy-Utility Tradeoff with Few-Round Strategy in Heterogeneous Federated Learning. - Qingbin Wei; Feilong Zhang 002; Yuanchao Bai; Deming Zhai; Junjun Jiang; Xianming Liu (VCIP, 2024)

SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. - Yuru Xiao; Xianming Liu; Deming Zhai; Kui Jiang; Junjun Jiang; Xiangyang Ji (CoRR, 2024)

Mesh Denoising Transformer. - Wenbo Zhao 004; Xianming Liu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CoRR, 2024)

Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering. - Yuru Xiao; Xianming Liu; Deming Zhai; Kui Jiang; Junjun Jiang; Xiangyang Ji (CoRR, 2024)

MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields. - Yuru Xiao; Deming Zhai; Wenbo Zhao 004; Kui Jiang; Junjun Jiang; Xianming Liu (CoRR, 2024)

Overhead-free Noise-tolerant Federated Learning: A New Baseline. - Shiyi Lin; Deming Zhai; Feilong Zhang 002; Junjun Jiang; Xianming Liu; Xiangyang Ji (Mach. Intell. Res., 2024)

Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee Curve. - Jinwang Pan; Xianming Liu; Yuanchao Bai; Deming Zhai; Junjun Jiang; Debin Zhao (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Spatial Annealing for Efficient Few-shot Neural Rendering. - Yuru Xiao; Deming Zhai; Wenbo Zhao 004; Kui Jiang; Junjun Jiang; Xianming Liu (AAAI, 2025)

Learning Lossless Compression for High Bit-Depth Volumetric Medical Image. - Kai Wang 070; Yuanchao Bai; Daxin Li; Deming Zhai; Junjun Jiang; Xianming Liu (IEEE Trans. Image Process., 2025)

Fast and Accurate 6-D Object Pose Refinement via Implicit Surface Optimization. - Bo Pang; Deming Zhai; Jianan Zhen; Long Wang; Xianming Liu (IEEE Trans. Robotics, 2025)

Joint Asymmetric Loss for Learning with Noisy Labels. - Jialiang Wang 003; Xianming Liu; Xiong Zhou; Gangfeng Hu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CoRR, 2025)

VDEGaussian: Video Diffusion Enhanced 4D Gaussian Splatting for Dynamic Urban Scenes Modeling. - Yuru Xiao; Zihan Lin; Chao Lu; Deming Zhai; Kui Jiang; Wenbo Zhao 004; Wei Zhang 010; Junjun Jiang; Huanran Wang; Xianming Liu (CoRR, 2025)

ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise. - Jialiang Wang 003; Xiong Zhou; Deming Zhai; Junjun Jiang; Xiangyang Ji; Xianming Liu (CoRR, 2025)