Fuzzy Modeling of Knowledge for MRI Brain Structure Segmentation. - Jing-Hao Xue; Su Ruan; Bruno Moretti; Marinette Revenu; Daniel Bloyet; Wilfried Philips (ICIP, 2000)

Unsupervised Segmentation of Three-Dimensional Brain Images. - Su Ruan; Mohamed-Jalal Fadili; Daniel Bloyet; Jing-Hao Xue (ICPR, 2000)

Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling. - Su Ruan; Cyril Jaggi; Jing-Hao Xue; Mohamed-Jalal Fadili; Daniel Bloyet (IEEE Trans. Medical Imaging, 2000)

A novel method for adaptive enhancement and unsupervised segmentation of MRI brain image. - Jing-Hao Xue; Wilfried Philips; Aleksandra Pizurica; Ignace Lemahieu (ICASSP, 2001)

Knowledge-based segmentation and labeling of brain structures from MRI images. - Jing-Hao Xue; Su Ruan; Bruno Moretti; Marinette Revenu; Daniel Bloyet (Pattern Recognit. Lett., 2001)

Localizing XML Documents through XSLT. - Yijun Yu; Jianguo Lu; Jing-Hao Xue; Yi Zhang; Weiwei Sun 008 (Applied Informatics, 2003)

An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images. - Jing-Hao Xue; Aleksandra Pizurica; Wilfried Philips; Etienne E. Kerre; Rik Van de Walle; Ignace Lemahieu (Pattern Recognit. Lett., 2003)

Making XML document markup international. - Yijun Yu; Jianguo Lu; John Mylopoulos; Weiwei Sun 008; Jing-Hao Xue; Erik H. D'Hollander (Softw. Pract. Exp., 2005)

Comment on "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes". - Jing-Hao Xue; D. M. Titterington (Neural Process. Lett., 2008)

Do unbalanced data have a negative effect on LDA? - Jing-Hao Xue; D. Mike Titterington (Pattern Recognit., 2008)

Short note on two output-dependent hidden Markov models. - Jing-Hao Xue; D. M. Titterington (Pattern Recognit. Lett., 2008)

Interpretation of hybrid generative/discriminative algorithms. - Jing-Hao Xue; D. Mike Titterington (Neurocomputing, 2009)

On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance. - Jing-Hao Xue; D. M. Titterington (Comput. Stat. Data Anal., 2010)

Joint discriminative-generative modelling based on statistical tests for classification. - Jing-Hao Xue; D. Mike Titterington (Pattern Recognit. Lett., 2010)

Median-based image thresholding. - Jing-Hao Xue; D. M. Titterington (Image Vis. Comput., 2011)

t -Tests, F -Tests and Otsu's Methods for Image Thresholding. - Jing-Hao Xue; D. Mike Titterington (IEEE Trans. Image Process., 2011)

Ridler and Calvard's, Kittler and Illingworth's and Otsu's methods for image thresholding. - Jing-Hao Xue; Yu-Jin Zhang (Pattern Recognit. Lett., 2012)

On selecting interacting features from high-dimensional data. - Peter Hall 003; Jing-Hao Xue (Comput. Stat. Data Anal., 2014)

Deformable Part-Based Model Transfer for Object Detection. - Zhiwei Ruan; Guijin Wang; Xinggang Lin; Jing-Hao Xue; Yong Jiang (IEICE Trans. Inf. Syst., 2014)

Fisher's linear discriminant embedded metric learning. - Yiwen Guo; Xiaoqing Ding; Chi Fang; Jing-Hao Xue (Neurocomputing, 2014)

Detection of user-registered dog faces. - Zhiwei Ruan; Guijin Wang; Jing-Hao Xue; Xinggang Lin; Yong Jiang (Neurocomputing, 2014)

MiLDA: A graph embedding approach to multi-view face recognition. - Yiwen Guo; Xiaoqing Ding; Jing-Hao Xue (Neurocomputing, 2015)

Depth-images-based pose estimation using regression forests and graphical models. - Li He; Guijin Wang; Qingmin Liao; Jing-Hao Xue (Neurocomputing, 2015)

Embedding metric learning into set-based face recognition for video surveillance. - Guijin Wang; Fei Zheng; Chenbo Shi; Jing-Hao Xue; Chunxiao Liu; Li He (Neurocomputing, 2015)

Why Does Rebalancing Class-Unbalanced Data Improve AUC for Linear Discriminant Analysis? - Jing-Hao Xue; Peter Hall 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Subcategory Clustering with Latent Feature Alignment and Filtering for Object Detection. - Zhiwei Ruan; Guijin Wang; Jing-Hao Xue; Xinggang Lin (IEEE Signal Process. Lett., 2015)

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)

Advanced Joint Bayesian Method for Face Verification. - Yicong Liang; Xiaoqing Ding; Jing-Hao Xue (IEEE Trans. Inf. Forensics Secur., 2015)

Latent variable pictorial structure for human pose estimation on depth images. - Li He; Guijin Wang; Qingmin Liao; Jing-Hao Xue (Neurocomputing, 2016)

Combining multiple biometric traits with an order-preserving score fusion algorithm. - Yicong Liang; Xiaoqing Ding; Changsong Liu; Jing-Hao Xue (Neurocomputing, 2016)

Randomized time warping for motion recognition. - Chendra Hadi Suryanto; Jing-Hao Xue; Kazuhiro Fukui (Image Vis. Comput., 2016)

A novel hierarchical framework for human action recognition. - Hongzhao Chen; Guijin Wang; Jing-Hao Xue; Li He (Pattern Recognit., 2016)

Denoising of Hyperspectral Images Using Group Low-Rank Representation. - Mengdi Wang; Jing Yu 005; Jing-Hao Xue; Weidong Sun (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Sufficient Canonical Correlation Analysis. - Yiwen Guo; Xiaoqing Ding; Changsong Liu; Jing-Hao Xue (IEEE Trans. Image Process., 2016)

Transferring CNNS to multi-instance multi-label classification on small datasets. - Mingzhi Dong; Kunkun Pang; Yang Wu 001; Jing-Hao Xue; Timothy M. Hospedales; Tsukasa Ogasawara (ICIP, 2017)

What is the probability of replicating a statistically significant association in genome-wide association studies? - Wei Jiang 019; Jing-Hao Xue; Weichuan Yu (Briefings Bioinform., 2017)

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)

The matched subspace detector with interaction effects. - Ziyu Wang 003; Jing-Hao Xue (Pattern Recognit., 2017)

Joint sparse model-based discriminative K-SVD for hyperspectral image classification. - Ziyu Wang 003; Jianxiong Liu; Jing-Hao Xue (Signal Process., 2017)

Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions. - Jérôme Lapuyade-Lahorgue; Jing-Hao Xue; Su Ruan (IEEE Trans. Image Process., 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)

Spectral Super-resolution for RGB Images using Class-based BP Neural Networks. - Xiaolin Han 001; Jing Yu 005; Jing-Hao Xue; Weidong Sun (DICTA, 2018)

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)

Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint. - Jiyang Xie 001; Zhanyu Ma; Guoqiang Zhang 003; Jing-Hao Xue; Jen-Tzung Chien; Zhiqing Lin; Jun Guo 002 (MLSP, 2018)

Metric Learning via Maximizing the Lipschitz Margin Ratio. - Mingzhi Dong; Xiaochen Yang; Yang Wu 001; Jing-Hao Xue (CoRR, 2018)

SEA: A Combined Model for Heat Demand Prediction. - Jiyang Xie 001; Jiaxin Guo; Zhanyu Ma; Jing-Hao Xue; Qie Sun; Hailong Li; Jun Guo 002 (CoRR, 2018)

Deep Learning for Single Image Super-Resolution: A Brief Review. - Wenming Yang; Xuechen Zhang 003; Yapeng Tian; Wei Wang 194; Jing-Hao Xue (CoRR, 2018)

Discriminatively guided filtering (DGF) for hyperspectral image classification. - Ziyu Wang 003; Huafeng Hu; Lefei Zhang; Jing-Hao Xue (Neurocomputing, 2018)

Matched shrunken subspace detectors for hyperspectral target detection. - Ziyu Wang 003; Jing-Hao Xue (Neurocomputing, 2018)

No-reference image quality assessment for photographic images based on robust statistics. - Zhengda Zeng; Wenming Yang; Wen Sun; Jing-Hao Xue; Qingmin Liao (Neurocomputing, 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)

SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment. - Wen Sun; Qingmin Liao; Jing-Hao Xue; Fei Zhou 001 (IEEE Trans. Image Process., 2018)

Decorrelation of Neutral Vector Variables: Theory and Applications. - Zhanyu Ma; Jing-Hao Xue; Arne Leijon; Zheng-Hua Tan; Zhen Yang 004; Jun Guo 002 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Residual Dilated Network with Attention for Image Blind Denoising. - Guanqun Hou; Yujiu Yang; Jing-Hao Xue (ICME, 2019)

A New Object Scene Flow Algorithm Based on Support Points Selection and Robust Moving Object Proposal. - Zhengyang Sun; Zongqing Lu 001; Jing-Hao Xue; Qingmin Liao (ICME, 2019)

A New Approach to Automatic Clothing Matting from Mannequins. - Bin Yuan; Zongqing Lu 001; Jing-Hao Xue; Qingmin Liao (ICME, 2019)

A New Rotation-Invariant Deep Network for 3D Object Recognition. - Yachi Zhang; Zongqing Lu 001; Jing-Hao Xue; Qingmin Liao (ICME, 2019)

Soft Dropout And Its Variational Bayes Approximation. - Jiyang Xie 001; Zhanyu Ma; Guoqiang Zhang 003; Jing-Hao Xue; Zheng-Hua Tan; Jun Guo 002 (MLSP, 2019)

Discriminant analysis based on projection onto generalized difference subspace. - Kazuhiro Fukui; Naoya Sogi; Takumi Kobayashi 001; Jing-Hao Xue; Atsuto Maki (CoRR, 2019)

Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue (CoRR, 2019)

Domain-Aware No-Reference Image Quality Assessment. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue; Jing Xiao 006 (CoRR, 2019)

A hybrid finger identification pattern using Polarized depth-Weighted Binary Direction Coding. - Wenming Yang; Wenyang Ji; Jing-Hao Xue; Yong Ren; Qingmin Liao (Neurocomputing, 2019)

Image-text dual neural network with decision strategy for small-sample image classification. - Fangyi Zhu; Zhanyu Ma; Xiaoxu Li; Guang Chen 003; Jen-Tzung Chien; Jing-Hao Xue; Jun Guo 002 (Neurocomputing, 2019)

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)

MSDH: Matched subspace detector with heterogeneous noise. - Xiaochen Yang; Lefei Zhang; Lianru Gao; Jing-Hao Xue (Pattern Recognit. Lett., 2019)

FV-GAN: Finger Vein Representation Using Generative Adversarial Networks. - Wenming Yang; Changqing Hui; Zhiquan Chen; Jing-Hao Xue; Qingmin Liao (IEEE Trans. Inf. Forensics Secur., 2019)

Deep Learning for Single Image Super-Resolution: A Brief Review. - Wenming Yang; Xuechen Zhang 003; Yapeng Tian; Wei Wang 194; Jing-Hao Xue; Qingmin Liao (IEEE Trans. Multim., 2019)

Lightweight Single Image Super-Resolution Through Efficient Second-Order Attention Spindle Network. - Yiyun Chen; Yihong Chen; Jing-Hao Xue; Wenming Yang; Qingmin Liao (ICME, 2020)

Deep Disturbance-Disentangled Learning for Facial Expression Recognition. - Delian Ruan; Yan Yan 001; Si Chen 002; Jing-Hao Xue; Hanzi Wang (ACM Multimedia, 2020)

Controllable Continuous Gaze Redirection. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue; Wensen Feng (ACM Multimedia, 2020)

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)

Metric Learning for Categorical and Ambiguous Features: An Adversarial Method. - Xiaochen Yang; Mingzhi Dong; Yiwen Guo; Jing-Hao Xue (ECML/PKDD (2), 2020)

XSepConv: Extremely Separated Convolution. - Jiarong Chen; Zongqing Lu 001; Jing-Hao Xue; Qingmin Liao (CoRR, 2020)

Real-MFF Dataset: A Large Realistic Multi-focus Image Dataset with Ground Truth. - Juncheng Zhang; Qingmin Liao; Shaojun Liu; Haoyu Ma; Wenming Yang; Jing-Hao Xue (CoRR, 2020)

Towards Certified Robustness of Metric Learning. - Xiaochen Yang; Yiwen Guo; Mingzhi Dong; Jing-Hao Xue (CoRR, 2020)

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization. - Jiyang Xie 001; Zhanyu Ma; Guoqiang Zhang 003; Jing-Hao Xue; Zheng-Hua Tan; Jun Guo 002 (CoRR, 2020)

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference. - Jiyang Xie 001; Zhanyu Ma; Jing-Hao Xue; Guoqiang Zhang 003; Jun Guo 002 (CoRR, 2020)

TediGAN: Text-Guided Diverse Image Generation and Manipulation. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue; Baoyuan Wu (CoRR, 2020)

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

Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue (Neural Networks, 2020)

Learning Local Metrics and Influential Regions for Classification. - Mingzhi Dong; Yujiang Wang 001; Xiaochen Yang; Jing-Hao Xue (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Defocus map estimation from a single image using improved likelihood feature and edge-based basis. - Shaojun Liu; Qingmin Liao; Jing-Hao Xue; Fei Zhou 001 (Pattern Recognit., 2020)

Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition. - Lincon Sales de Souza; Bernardo B. Gatto; Jing-Hao Xue; Kazuhiro Fukui (Pattern Recognit., 2020)

Data-augmented matched subspace detector for hyperspectral subpixel target detection. - Xiaochen Yang; Mingzhi Dong; Ziyu Wang 003; Lianru Gao; Lefei Zhang; Jing-Hao Xue (Pattern Recognit., 2020)

Real-MFF: A large realistic multi-focus image dataset with ground truth. - Juncheng Zhang; Qingmin Liao; Shaojun Liu; Haoyu Ma; Wenming Yang; Jing-Hao Xue (Pattern Recognit. Lett., 2020)

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

Hyperspectral image denoising based on low-rank coefficients and orthonormal dictionary. - Fanlong Zhang; Guowei Yang 002; Jing-Hao Xue (Signal Process., 2020)

Inter-class angular margin loss for face recognition. - Jingna Sun; Wenming Yang; Riqiang Gao; Jing-Hao Xue; Qingmin Liao (Signal Process. Image Commun., 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)

Hyperspectral and Multispectral Image Fusion Using Optimized Twin Dictionaries. - Xiaolin Han 001; Jing Yu 005; Jing-Hao Xue; Weidong Sun (IEEE Trans. Image Process., 2020)

OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer. - Xiaoxu Li; Dongliang Chang; Zhanyu Ma; Zheng-Hua Tan; Jing-Hao Xue; Jie Cao 014; Jingyi Yu; Jun Guo 002 (IEEE Trans. Image Process., 2020)

An α-Matte Boundary Defocus Model-Based Cascaded Network for Multi-Focus Image Fusion. - Haoyu Ma; Qingmin Liao; Juncheng Zhang; Shaojun Liu; Jing-Hao Xue (IEEE Trans. Image Process., 2020)

LCSCNet: Linear Compressing-Based Skip-Connecting Network for Image Super-Resolution. - Wenming Yang; Xuechen Zhang 003; Yapeng Tian; Wei Wang 194; Jing-Hao Xue; Qingmin Liao (IEEE Trans. Image Process., 2020)

An Equalized Margin Loss for Face Recognition. - Jingna Sun; Wenming Yang; Jing-Hao Xue; Qingmin Liao (IEEE Trans. Multim., 2020)

Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. - Zhanyu Ma; Jiyang Xie 001; Yuping Lai; Jalil Taghia; Jing-Hao Xue; Jun Guo 002 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images. - Guijin Wang; Cairong Zhang; Xinghao Chen 001; Xiangyang Ji; Jing-Hao Xue; Hang Wang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning. - Jing-Hao Xue; Zhanyu Ma; Manuel Roveri; Nathalie Japkowicz (IEEE Trans. Neural Networks Learn. Syst., 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)

Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification. - Zhuo Sun; Jijie Wu; Xiaoxu Li; Wenming Yang; Jing-Hao Xue (AISTATS, 2021)

Lane Line Detection based on Parallel Spatial Separation Convolution. - Xile Shen; Zongqing Lu 001; Youcheng Zhang; Jing-Hao Xue (BMVC, 2021)

FETNet: Feature Exchange Transformer Network for RGB-D Object Detection. - Zhibin Xiao; Jing-Hao Xue; Pengwei Xie; Guijin Wang (BMVC, 2021)

Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data. - Ying Shu; Yan Yan 001; Si Chen 002; Jing-Hao Xue; Chunhua Shen; Hanzi Wang (CVPR, 2021)

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue; Baoyuan Wu (CVPR, 2021)

Enhance Via Decoupling: Improving Multi-Label Classifiers With Variational Feature Augmentation. - Ming Chen; Guijin Wang; Jing-Hao Xue; Zijian Ding; Li Sun (ICIP, 2021)

Parallax Contextual Representations For Stereo Matching. - Hui Deng; Qingmin Liao; Zongqing Lu 001; Jing-Hao Xue (ICIP, 2021)

CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation. - Xuanyu Xiao; Zongqing Lu 001; Jing-Hao Xue (ICIP, 2021)

Towards Impartial Multi-task Learning. - Liyang Liu; Yi Li 050; Zhanghui Kuang; Jing-Hao Xue; Yimin Chen; Wenming Yang; Qingmin Liao; Wayne Zhang 001 (ICLR, 2021)

Disparity Estimation with Scene Depth Cues. - Lei Chen; Zongqing Lu 001; Qingmin Liao; Haoyu Ma; Jing-Hao Xue (ICME, 2021)

Better Stereo Matching From Simple Yet Effective Wrangling of Deep Features. - Lei Chen; Zongqing Lu 001; Qingmin Liao; Jing-Hao Xue (ICME, 2021)

RGB Guided Depth Map Super-Resolution with Coupled U-Net. - Yingjie Cui; Qingmin Liao; Wenming Yang; Jing-Hao Xue (ICME, 2021)

EFRNet: A Lightweight Network with Efficient Feature Fusion and Refinement for Real-Time Semantic Segmentation. - Kuayue Zhang; Qingmin Liao; Juncheng Zhang; Shaojun Liu; Haoyu Ma; Jing-Hao Xue (ICME, 2021)

Group Fisher Pruning for Practical Network Compression. - Liyang Liu; Shilong Zhang; Zhanghui Kuang; Aojun Zhou; Jing-Hao Xue; Xinjiang Wang; Yimin Chen; Wenming Yang; Qingmin Liao; Wayne Zhang 001 (ICML, 2021)

Hourglass Face Detector for Hard Face. - Zijun Yu; Jian Yin 016; Qiang Zhang; Wenming Yang; Jing-Hao Xue; Qingmin Liao (IJCNN, 2021)

D³Net: Dual-Branch Disturbance Disentangling Network for Facial Expression Recognition. - Rongyun Mo; Yan Yan 001; Jing-Hao Xue; Si Chen 002; Hanzi Wang (ACM Multimedia, 2021)

How Video Super-Resolution and Frame Interpolation Mutually Benefit. - Chengcheng Zhou; Zongqing Lu 001; Linge Li; Qiangyu Yan; Jing-Hao Xue (ACM Multimedia, 2021)

Small-Vote Sample Selection for Label-Noise Learning. - Youze Xu; Yan Yan 001; Jing-Hao Xue; Yang Lu 009; Hanzi Wang (ECML/PKDD (3), 2021)

Dimension reduction for data with heterogeneous missingness. - Yurong Ling; Zijing Liu; Jing-Hao Xue (UAI, 2021)

Towards Open-World Text-Guided Face Image Generation and Manipulation. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue; Baoyuan Wu (CoRR, 2021)

SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes. - Jiacheng Chen; Bin-Bin Gao; Zongqing Lu 001; Jing-Hao Xue; Chengjie Wang; Qingmin Liao (CoRR, 2021)

Deep Metric Learning for Few-Shot Image Classification: A Selective Review. - Xiaoxu Li; Xiaochen Yang; Zhanyu Ma; Jing-Hao Xue (CoRR, 2021)

RFRN: A recurrent feature refinement network for accurate and efficient scene text detection. - Guanyu Deng; Yue Ming 001; Jing-Hao Xue (Neurocomputing, 2021)

Deep InterBoost networks for small-sample image classification. - Xiaoxu Li; Dongliang Chang; Zhanyu Ma; Zheng-Hua Tan; Jing-Hao Xue; Jie Cao 014; Jun Guo 002 (Neurocomputing, 2021)

Mutual-learning sequence-level knowledge distillation for automatic speech recognition. - Zerui Li; Yue Ming 001; Lei Yang 034; Jing-Hao Xue (Neurocomputing, 2021)

A concise review of recent few-shot meta-learning methods. - Xiaoxu Li; Zhuo Sun; Jing-Hao Xue; Zhanyu Ma (Neurocomputing, 2021)

TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild. - Yuanyuan Liu 004; Jiyao Peng; Jing-Hao Xue; Yongquan Chen; Zhang-Hua Fu (Neurocomputing, 2021)

3D-TDC: A 3D temporal dilation convolution framework for video action recognition. - Yue Ming 001; Fan Feng; Chao Li 026; Jing-Hao Xue (Neurocomputing, 2021)

Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue (Neurocomputing, 2021)

Guest Editorial: Special issue on deep learning with small samples. - Jing-Hao Xue; Jufeng Yang; Xiaoxu Li; Yan Yan 001; Yujiu Yang; Zongqing Lu 001; Zhanyu Ma (Neurocomputing, 2021)

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

Non-Local Aggregation for RGB-D Semantic Segmentation. - Guodong Zhang 004; Jing-Hao Xue; Pengwei Xie; Sifan Yang; Guijin Wang (IEEE Signal Process. Lett., 2021)

ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification. - Xiaoxu Li; Liyun Yu; Xiaochen Yang; Zhanyu Ma; Jing-Hao Xue; Jie Cao 014; Jun Guo 002 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Domain Fingerprints for No-Reference Image Quality Assessment. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue; Jing Xiao 006 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification. - Xiaokang Zhang; Yan Yan 001; Jing-Hao Xue; Yang Hua 001; Hanzi Wang (IEEE Trans. Circuits Syst. Video Technol., 2021)

BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. - Xiaoxu Li; Jijie Wu; Zhuo Sun; Zhanyu Ma; Jie Cao 014; Jing-Hao Xue (IEEE Trans. Image Process., 2021)

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition. - Jiyang Xie 001; Zhanyu Ma; Jing-Hao Xue; Guoqiang Zhang 003; Jian Sun; Yinhe Zheng; Jun Guo 002 (IEEE Trans. Image Process., 2021)

Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN. - Youcheng Zhang; Zongqing Lu 001; Dongdong Ma; Jing-Hao Xue; Qingmin Liao (IEEE Trans. Intell. Transp. Syst., 2021)

A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions. - Yang Dong; Jiachen Wan; Xingjian Wang; Jing-Hao Xue; Jibin Zou; Honghui He; Pengcheng Li; Anli Hou; Hui Ma 003 (IEEE Trans. Medical Imaging, 2021)

IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection. - Liyang Liu; Zhanghui Kuang; Yimin Chen; Jing-Hao Xue; Wenming Yang; Wayne Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition. - Wanping Zhang; Yongru Chen; Wenming Yang; Guijin Wang; Jing-Hao Xue; Qingmin Liao (IEEE Trans. Neural Networks Learn. Syst., 2021)

When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework. - Xinyi Zou; Yan Yan 001; Jing-Hao Xue; Si Chen 002; Hanzi Wang (AAAI, 2022)

Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition. - Xinyi Zou; Yan Yan 001; Jing-Hao Xue; Si Chen 002; Hanzi Wang (ECCV (19), 2022)

Dimension reduction for high-dimensional small counts with KL divergence. - Yurong Ling; Jing-Hao Xue (UAI, 2022)

GAN Inversion for Consistent Video Interpolation and Manipulation. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue (CoRR, 2022)

A Survey on 3D-aware Image Synthesis. - Weihao Xia 001; Jing-Hao Xue (CoRR, 2022)

Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition. - Delian Ruan; Rongyun Mo; Yan Yan 001; Si Chen 002; Jing-Hao Xue; Hanzi Wang (Int. J. Comput. Vis., 2022)

ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment. - Yurong Ling; Fei Zhou 001; Kun Guo 004; Jing-Hao Xue (Neurocomputing, 2022)

A Spectral-Spatial Jointed Spectral Super-Resolution and Its Application to HJ-1A Satellite Images. - Xiaolin Han 001; Huan Zhang 013; Jing-Hao Xue; Weidong Sun (IEEE Geosci. Remote. Sens. Lett., 2022)

Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization. - Jiyang Xie 001; Zhanyu Ma; Jianjun Lei; Guoqiang Zhang 003; Jing-Hao Xue; Zheng-Hua Tan; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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

Deep Multi-Task Multi-Label CNN for Effective Facial Attribute Classification. - Longbiao Mao; Yan Yan 001; Jing-Hao Xue; Hanzi Wang (IEEE Trans. Affect. Comput., 2022)

Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes. - Xi Weng; Yan Yan 001; Si Chen 002; Jing-Hao Xue; Hanzi Wang (IEEE Trans. Circuits Syst. Video Technol., 2022)

SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem. - Song Chen; Jing-Hao Xue; Jianlong Chang; Jianzhong Zhang 003; Jufeng Yang; Qi Tian 001 (IEEE Trans. Image Process., 2022)

Defocus Image Deblurring Network With Defocus Map Estimation as Auxiliary Task. - Haoyu Ma; Shaojun Liu; Qingmin Liao; Juncheng Zhang; Jing-Hao Xue (IEEE Trans. Image Process., 2022)

Efficient Semantic Segmentation via Self-Attention and Self-Distillation. - Shumin An; Qingmin Liao; Zongqing Lu 001; Jing-Hao Xue (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Learning in Lane Marking Detection: A Survey. - Youcheng Zhang; Zongqing Lu 001; Xuechen Zhang 003; Jing-Hao Xue; Qingmin Liao (IEEE Trans. Intell. Transp. Syst., 2022)

GenDet: Meta Learning to Generate Detectors From Few Shots. - Liyang Liu; Bochao Wang; Zhanghui Kuang; Jing-Hao Xue; Yimin Chen; Wenming Yang; Qingmin Liao; Wayne Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Learning Meta Soft Prompt for Few-Shot Language Models. - Jen-Tzung Chien; Ming-Yen Chen; Jing-Hao Xue (APSIPA ASC, 2023)

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion. - Ziqiang Zhang; Yan Yan 001; Jing-Hao Xue; Hanzi Wang (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)

Discriminant Feature Extraction by Generalized Difference Subspace. - Kazuhiro Fukui; Naoya Sogi; Takumi Kobayashi 001; Jing-Hao Xue; Atsuto Maki (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Single-Sample Finger Vein Recognition via Competitive and Progressive Sparse Representation. - Pengyang Zhao; Zhiquan Chen; Jing-Hao Xue; Jianjiang Feng; Wenming Yang; Qingmin Liao; Jie Zhou 001 (IEEE Trans. Biom. Behav. Identity Sci., 2023)

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. - Jiacheng Chen; Bin-Bin Gao; Zongqing Lu 001; Jing-Hao Xue; Chengjie Wang; Qingmin Liao (IEEE Trans. Multim., 2023)

GAN Inversion: A Survey. - Weihao Xia 001; Yulun Zhang 001; Yujiu Yang; Jing-Hao Xue; Bolei Zhou; Ming-Hsuan Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

The neglected background cues can facilitate finger vein recognition. - Pengyang Zhao; Shuping Zhao; Jing-Hao Xue; Wenming Yang; Qingmin Liao (Pattern Recognit., 2023)

On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables. - Zhanyu Ma; Xiaoou Lu; Jiyang Xie 001; Zhen Yang 004; Jing-Hao Xue; Zheng-Hua Tan; Bo Xiao 006; Jun Guo 002 (IEEE Trans. Neural Networks Learn. Syst., 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)

Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images. - Xuechen Zhang 003; Isaac Cheng; Shaojun Liu; Chenrui Li; Jing-Hao Xue; Lai-Shan Tam; Weichuan Yu (Comput. Medical Imaging Graph., 2023)

Deep metric learning for few-shot image classification: A Review of recent developments. - Xiaoxu Li; Xiaochen Yang; Zhanyu Ma; Jing-Hao Xue (Pattern Recognit., 2023)

SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data. - Yan Yan 001; Ying Shu; Si Chen 002; Jing-Hao Xue; Chunhua Shen; Hanzi Wang (Int. J. Comput. Vis., 2023)

TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice. - Tianyu Sun; Guodong Zhang 004; Wenming Yang; Jing-Hao Xue; Guijin Wang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples. - Yan Yan 001; Youze Xu; Jing-Hao Xue; Yang Lu 009; Hanzi Wang; Wentao Zhu 002 (IEEE Trans. Cybern., 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)

High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification. - Liuxiang Qiu; Si Chen 002; Yan Yan 001; Jing-Hao Xue; Da-Han Wang; Shunzhi Zhu (AAAI, 2024)

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion. - Ziqiang Zhang; Yan Yan 009; Jing-Hao Xue; Hanzi Wang (AAAI, 2024)

UMBRAE: Unified Multimodal Brain Decoding. - Weihao Xia 001; Raoul de Charette; A. Cengiz Öztireli; Jing-Hao Xue (ECCV (7), 2024)

Reschedule Diffusion-based Bokeh Rendering. - Shiyue Yan; Xiaoshi Qiu; Qingmin Liao; Jing-Hao Xue; Shaojun Liu (IJCAI, 2024)

Channel-Spatial Support-Query Cross-Attention for Fine-Grained Few-Shot Image Classification. - Shicheng Yang; Xiaoxu Li; Dongliang Chang; Zhanyu Ma; Jing-Hao Xue (ACM Multimedia, 2024)

Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models. - Hai Wang; Xiaoyu Xiang; Yuchen Fan; Jing-Hao Xue (WACV, 2024)

DREAM: Visual Decoding from REversing HumAn Visual SysteM. - Weihao Xia 001; Raoul de Charette; Cengiz Öztireli; Jing-Hao Xue (WACV, 2024)

DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation analysis using hand HR-pQCT images. - Xuechen Zhang 003; Isaac Cheng; Yingzhao Jin; Jiandong Shi; Chenrui Li; Jing-Hao Xue; Lai-Shan Tam; Weichuan Yu (Comput. Biol. Medicine, 2024)

UMBRAE: Unified Multimodal Decoding of Brain Signals. - Weihao Xia 001; Raoul de Charette; Cengiz Öztireli; Jing-Hao Xue (CoRR, 2024)

BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network. - Zongkai Zhang; Zidong Xu; Wenming Yang; Qingmin Liao; Jing-Hao Xue (CoRR, 2024)

PUAL: A Classifier on Trifurcate Positive-Unlabeled Data. - Xiaoke Wang; Xiaochen Yang; Rui Zhu; Jing-Hao Xue (CoRR, 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)

Self-reconstruction network for fine-grained few-shot classification. - Xiaoxu Li; Zhen Li 026; Jiyang Xie 001; Xiaochen Yang; Jing-Hao Xue; Zhanyu Ma (Pattern Recognit., 2024)

Query-centric distance modulator for few-shot classification. - Wenxiao Wu; Yuanjie Shao; Changxin Gao; Jing-Hao Xue; Nong Sang (Pattern Recognit., 2024)

Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition. - Yang Xu; Yan Yan 001; Jing-Hao Xue; Yang Hua 001; Hanzi Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Dual-Mode Learning for Multi-Dataset X-Ray Security Image Detection. - Fenghong Yang; Runqing Jiang; Yan Yan 001; Jing-Hao Xue; Biao Wang; Hanzi Wang (IEEE Trans. Inf. Forensics Secur., 2024)

Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition. - Yuanling Lv; Yan Yan 001; Jing-Hao Xue; Si Chen 002; Hanzi Wang (IEEE Trans. Image Process., 2024)

DeGCN: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition. - Woomin Myung; Nan Su; Jing-Hao Xue; Guijin Wang (IEEE Trans. Image Process., 2024)

Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition. - Yuanling Lv; Guangyu Huang; Yan Yan 001; Jing-Hao Xue; Si Chen 002; Hanzi Wang (IEEE Trans. Multim., 2024)

Exploit the Best of Both End-to-End and Map-Based Methods for Multi-Focus Image Fusion. - Juncheng Zhang; Qingmin Liao; Haoyu Ma; Jing-Hao Xue; Wenming Yang; Shaojun Liu (IEEE Trans. Multim., 2024)

When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework. - Runqing Jiang; Yan Yan 001; Jing-Hao Xue; Biao Wang; Hanzi Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dual Correlation Network for Efficient Video Semantic Segmentation. - Shumin An; Qingmin Liao; Zongqing Lu 001; Jing-Hao Xue (IEEE Trans. Circuits Syst. Video Technol., 2024)

Toward Certified Robustness of Distance Metric Learning. - Xiaochen Yang; Yiwen Guo; Mingzhi Dong; Jing-Hao Xue (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Survey on Deep Generative 3D-aware Image Synthesis. - Weihao Xia 001; Jing-Hao Xue (ACM Comput. Surv., 2024)

VPCFormer: A transformer-based multi-view finger vein recognition model and a new benchmark. - Pengyang Zhao; Yizhuo Song; Siqi Wang; Jing-Hao Xue; Shuping Zhao; Qingmin Liao; Wenming Yang (Pattern Recognit., 2024)

Survival Analysis of High-Dimensional Data With Graph Convolutional Networks and Geometric Graphs. - Yurong Ling; Zijing Liu; Jing-Hao Xue (IEEE Trans. Neural Networks Learn. Syst., 2024)

Interpretable Heterogeneous Teacher-Student Learning Framework for Hybrid-Supervised Pulmonary Nodule Detection. - Guangyu Huang; Yan Yan 001; Jing-Hao Xue; Wentao Zhu 002; Xiongbiao Luo (IEEE Trans. Circuits Syst. Video Technol., 2024)

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch. - Yijie Liu; Xinyi Shang; Yiqun Zhang 006; Yang Lu 009; Chen Gong; Jing-Hao Xue; Hanzi Wang (CVPR, 2025)

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

360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation. - Hai Wang; Jing-Hao Xue (WACV, 2025)

Interactive triplet attention for few-shot fine-grained image classification. - Xiaoxu Li; Shaoying Xue; Jiyang Xie 001; Xiaochen Yang; Zhanyu Ma; Jing-Hao Xue (Neurocomputing, 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)

Consistency-driven feature scoring and regularization network for visible-infrared person re-identification. - Xueting Chen; Yan Yan 001; Jing-Hao Xue; Nannan Wang 001; Hanzi Wang (Pattern Recognit., 2025)

CDN4: A cross-view Deep Nearest Neighbor Neural Network for fine-grained few-shot classification. - Xiaoxu Li; Shuo Ding; Jiyang Xie 001; Xiaochen Yang; Zhanyu Ma; Jing-Hao Xue (Pattern Recognit., 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)

Self-randomized focuses effectively boost metric-based few-shot classifiers. - Zhen Li 026; Zhongyuan Liu; Dongliang Chang; Aneeshan Sain; Xiaoxu Li; Zhanyu Ma; Jing-Hao Xue; Yi-Zhe Song (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)

Augmentation Matters: A Mix-Paste Method for X-Ray Prohibited Item Detection Under Noisy Annotations. - Ruikang Chen; Yan Yan 001; Jing-Hao Xue; Yang Lu 009; Hanzi Wang (IEEE Trans. Inf. Forensics Secur., 2025)

I2OL-Net: Intra-Inter Objectness Learning Network for Point-Supervised X-Ray Prohibited Item Detection. - Chenyang Wang; Yan Yan 001; Jing-Hao Xue; Hanzi Wang (IEEE Trans. Inf. Forensics Secur., 2025)

Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery. - Runqing Jiang; Yan Yan 001; Jing-Hao Xue; Si Chen 002; Nannan Wang 001; Hanzi Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Survey on Text-Driven 360-Degree Panorama Generation. - Hai Wang; Xiaoyu Xiang; Weihao Xia 001; Jing-Hao Xue (CoRR, 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)

VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection. - Sin Chee Chin; Fan Zhang; Xiaochen Yang; Jing-Hao Xue; Wenming Yang; Peng Jia; Guijin Wang; Luo Yingqun (CoRR, 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)

PathoSCOPE: Few-Shot Pathology Detection via Self-Supervised Contrastive Learning and Pathology-Informed Synthetic Embeddings. - Sin Chee Chin; Yinuo Ma; Xiaochen Yang; Jing-Hao Xue; Wenming Yang (CoRR, 2025)

Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition. - Hu Ding; Yan Yan 001; Yang Lu 009; Jing-Hao Xue; Hanzi Wang (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)