Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property. - Rui Zhu 006; Mingzhi Dong; Jing-Hao Xue (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data. - Rui Zhu 006; Kazuhiro Fukui; Jing-Hao Xue (Inf. Sci., 2017)

On the orthogonal distance to class subspaces for high-dimensional data classification. - Rui Zhu 006; Jing-Hao Xue (Inf. Sci., 2017)

Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection. - Ziyu Wang 003; Rui Zhu 006; Kazuhiro Fukui; Jing-Hao Xue (IEEE Trans. Image Process., 2017)

Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition. - Jingxuan Hou; Guijin Wang; Xinghao Chen 001; Jing-Hao Xue; Rui Zhu 006; Huazhong Yang (ECCV Workshops (6), 2018)

MvSSIM: A quality assessment index for hyperspectral images. - Rui Zhu 006; Fei Zhou 001; Jing-Hao Xue (Neurocomputing, 2018)

LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test. - Rui Zhu 006; Ziyu Wang 003; Zhanyu Ma; Guijin Wang; Jing-Hao Xue (Pattern Recognit. Lett., 2018)

Cone-based joint sparse modelling for hyperspectral image classification. - Ziyu Wang 003; Rui Zhu 006; Kazuhiro Fukui; Jing-Hao Xue (Signal Process., 2018)

On Hypothesis Testing for Comparing Image Quality Assessment Metrics [Tips & Tricks]. - Rui Zhu 006; Fei Zhou 001; Wenming Yang; Jing-Hao Xue (IEEE Signal Process. Mag., 2018)

Learning distance to subspace for the nearest subspace methods in high-dimensional data classification. - Rui Zhu 006; Mingzhi Dong; Jing-Hao Xue (Inf. Sci., 2019)

Generalization Bound of Gradient Descent for Non-Convex Metric Learning. - Mingzhi Dong; Xiaochen Yang; Rui Zhu 006; Yujiang Wang 001; Jing-Hao Xue (NeurIPS, 2020)

Deep learning for image super-resolution. - Wenming Yang; Fei Zhou 001; Rui Zhu 006; Kazuhiro Fukui; Guijin Wang; Jing-Hao Xue (Neurocomputing, 2020)

Adjusting the imbalance ratio by the dimensionality of imbalanced data. - Rui Zhu 006; Yiwen Guo; Jing-Hao Xue (Pattern Recognit. Lett., 2020)

Special Issue on Advances in Statistical Methods-based Visual Quality Assessment. - Fei Zhou 001; Wenming Yang; Xinbo Gao 001; Hantao Liu; Rui Zhu 006; Jing-Hao Xue (Signal Process. Image Commun., 2020)

A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data. - Rui Zhu 006; Ziyu Wang 003; Naoya Sogi; Kazuhiro Fukui; Jing-Hao Xue (IEEE Trans. Neural Networks Learn. Syst., 2020)

Generalisations of stochastic supervision models. - Xiaoou Lu; Yangqi Qiao; Rui Zhu 006; Guijin Wang; Zhanyu Ma; Jing-Hao Xue (Pattern Recognit., 2021)

Sain: Similarity-Aware Video Frame Interpolation. - Yue Lv; Wenming Yang; Wangmeng Zuo; Qingmin Liao; Rui Zhu 006 (ICASSP, 2022)

Quality-Oriented Feature Regression for Robust Image Similarity Metric. - Jingyu Guo; Qiqi Bao; Rui Zhu 006; Wenming Yang; Qingmin Liao (ICME, 2022)

Distilling Resolution-robust Identity Knowledge for Texture-Enhanced Face Hallucination. - Qiqi Bao; Rui Zhu 006; Bowen Gang; Pengyang Zhao; Wenming Yang; Qingmin Liao (ACM Multimedia, 2022)

Lightweight Single Image Super-Resolution With Similar Feature Fusion Block. - Zirui Wang; Yunmeng Liu; Rui Zhu 006; Wenming Yang; Qingmin Liao (IEEE Access, 2022)

Constrained mutual convex cone method for image set based recognition. - Naoya Sogi; Rui Zhu 006; Jing-Hao Xue; Kazuhiro Fukui (Pattern Recognit., 2022)

DSR-Diff: Depth Map Super-Resolution with Diffusion Model. - Yuan Shi; Bin Xia; Rui Zhu 006; Qingmin Liao; Wenming Yang (CoRR, 2023)

ReNAP: Relation network with adaptiveprototypical learning for few-shot classification. - Xiaoxu Li; Yalan Li; Yixiao Zheng; Rui Zhu 006; Zhanyu Ma; Jing-Hao Xue; Jie Cao 014 (Neurocomputing, 2023)

Statistical hypothesis testing as a novel perspective of pooling for image quality assessment. - Rui Zhu 006; Fei Zhou 001; Wenming Yang; Jing-Hao Xue (Signal Process. Image Commun., 2023)

CASES: A Cognition-Aware Smart Eyewear System for Understanding How People Read. - Xiangyao Qi; Qi Lu; Wentao Pan; Yingying Zhao; Rui Zhu 006; Mingzhi Dong; Yuhu Chang; Qin Lv; Robert P. Dick; Fan Yang 001; Tun Lu; Ning Gu; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification. - Xiaoxu Li; Qi Song; Jijie Wu; Rui Zhu 006; Zhanyu Ma; Jing-Hao Xue (IEEE Trans. Circuits Syst. Video Technol., 2023)

Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction. - Qiqi Bao; Zheng Hui; Rui Zhu 006; Peiran Ren; Xuansong Xie; Wenming Yang (AAAI, 2024)

Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge. - Fang Dong; Mengyi Chen; Jixian Zhou; Yubin Shi; Yixuan Chen 003; Mingzhi Dong; Yujiang Wang 001; Dongsheng Li 002; Xiaochen Yang; Rui Zhu 006; Robert P. Dick; Qin Lv; et al. (NeurIPS, 2024)

A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification. - Xiaoxu Li; Zijie Guo; Rui Zhu 006; Zhanyu Ma; Jun Guo 002; Jing-Hao Xue (Pattern Recognit., 2024)

DSR-Diff: Depth map super-resolution with diffusion model. - Yuan Shi; Huiyun Cao; Bin Xia; Rui Zhu 006; Qingmin Liao; Wenming Yang (Pattern Recognit. Lett., 2024)

Can Large Language Models Be Good Companions?: An LLM-Based Eyewear System with Conversational Common Ground. - Zhenyu Xu; Hailin Xu; Zhouyang Lu; Yingying Zhao; Rui Zhu 006; Yujiang Wang 001; Mingzhi Dong; Yuhu Chang; Qin Lv; Robert P. Dick; Fan Yang 001; Tun Lu; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Identity-Preserving Diffusion for Face Restoration. - Xiaying Bai; Yuhao Yang; Wenming Yang; Rui Zhu 006; Jing-Hao Xue (ICASSP, 2025)

PUAL: A classifier on trifurcate positive-unlabelled data. - Xiaoke Wang; Xiaochen Yang; Rui Zhu 006; Jing-Hao Xue (Neurocomputing, 2025)

GKF-PUAL: A group kernel-free approach to positive-unlabeled learning with variable selection. - Xiaoke Wang; Rui Zhu 006; Jing-Hao Xue (Inf. Sci., 2025)

Clarity in chaos: Boosting few-shot classification through information suppression and sparsification. - Xiaoxu Li; Luchen Ji; Rui Zhu 006; Zhanyu Ma; Jing-Hao Xue (Pattern Recognit., 2025)

SRML: Structure-relation mutual learning network for few-shot image classification. - Xiaoxu Li; Lang Wang; Rui Zhu 006; Zhanyu Ma; Jie Cao 014; Jing-Hao Xue (Pattern Recognit., 2025)

Selectively Augmented Attention Network for Few-Shot Image Classification. - Xiaoxu Li; Xiangyang Wang; Rui Zhu 006; Zhanyu Ma; Jie Cao 014; Jing-Hao Xue (IEEE Trans. Circuits Syst. Video Technol., 2025)

Query-Aware Cross-Mixup and Cross-Reconstruction for Few-Shot Fine-Grained Image Classification. - Zhimin Zhang; Dongliang Chang; Rui Zhu 006; Xiaoxu Li; Zhanyu Ma; Jing-Hao Xue (IEEE Trans. Circuits Syst. Video Technol., 2025)

Rise by Lifting Others: Interacting Features to Uplift Few-Shot Fine-Grained Classification. - Xiaoxu Li; Peiyu Lu; Rui Zhu 006; Zhanyu Ma; Jie Cao 014; Jing-Hao Xue (IEEE Trans. Circuits Syst. Video Technol., 2025)

UC-PUAL: A universally consistent classifier of positive-unlabelled data. - Xiaoke Wang; Rui Zhu 006; Jing-Hao Xue (Pattern Recognit., 2026)