Style transfer matrix learning for writer adaptation. - Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2011)

Perceptron Learning of Modified Quadratic Discriminant Function. - Tong-Hua Su; Cheng-Lin Liu 001; Xu-Yao Zhang (ICDAR, 2011)

Pattern Field Classification with Style Normalized Transformation. - Xu-Yao Zhang; Kaizhu Huang; Cheng-Lin Liu 001 (IJCAI, 2011)

Confused Distance Maximization for Large Category Dimensionality Reduction. - Xu-Yao Zhang; Cheng-Lin Liu 001 (ICFHR, 2012)

Multiple Outlooks Learning with Support Vector Machines. - Yinglu Liu; Xu-Yao Zhang; Kaizhu Huang; Xinwen Hou; Cheng-Lin Liu 001 (ICONIP (3), 2012)

Manifold Regularized Multi-Task Learning. - Peipei Yang; Xu-Yao Zhang; Kaizhu Huang; Cheng-Lin Liu 001 (ICONIP (3), 2012)

Extraction of Serial Numbers on Bank Notes. - Bo-Yuan Feng; Mingwu Ren; Xu-Yao Zhang; Ching Y. Suen (ICDAR, 2013)

ICDAR 2013 Chinese Handwriting Recognition Competition. - Fei Yin; Qiu-Feng Wang 001; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICDAR, 2013)

Locally Smoothed Modified Quadratic Discriminant Function. - Xu-Yao Zhang; Cheng-Lin Liu 001 (ICDAR, 2013)

Feature Transformation with Class Conditional Decorrelation. - Xu-Yao Zhang; Kaizhu Huang; Cheng-Lin Liu 001 (ICDM, 2013)

A Novel Pattern Rejection Criterion Based on Multiple Classifiers. - Wei-Na Wang; Xu-Yao Zhang; Ching Y. Suen (MCS, 2013)

Writer Adaptation with Style Transfer Mapping. - Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition. - Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2013)

Efficient Feature Coding Based on Auto-encoder Network for Image Classification. - Guo-Sen Xie; Xu-Yao Zhang; Cheng-Lin Liu 001 (ACCV (1), 2014)

Part-Based High Accuracy Recognition of Serial Numbers in Bank Notes. - Bo-Yuan Feng; Mingwu Ren; Xu-Yao Zhang; Ching Y. Suen (ANNPR, 2014)

Effective license plate detection using fast candidate region selection and covariance feature based filtering. - Bo-Yuan Feng; Mingwu Ren; Xu-Yao Zhang; Cheng-Lin Liu 001 (AVSS, 2014)

Improving Handwritten Chinese Character Recognition with Discriminative Quadratic Feature Extraction. - Ming-Ke Zhou; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 001 (ICPR, 2014)

Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction. - Guo-Sen Xie; Xu-Yao Zhang; Yan-Ming Zhang 001; Cheng-Lin Liu 001 (IJCNN, 2014)

Automatic recognition of serial numbers in bank notes. - Bo-Yuan Feng; Mingwu Ren; Xu-Yao Zhang; Ching Y. Suen (Pattern Recognit., 2014)

Combination of Classification and Clustering Results with Label Propagation. - Xu-Yao Zhang; Peipei Yang; Yan-Ming Zhang 001; Kaizhu Huang; Cheng-Lin Liu 001 (IEEE Signal Process. Lett., 2014)

Task-Driven Feature Pooling for Image Classification. - Guo-Sen Xie; Xu-Yao Zhang; Xiangbo Shu; Shuicheng Yan; Cheng-Lin Liu 001 (ICCV, 2015)

Retargeted Least Squares Regression Algorithm. - Xu-Yao Zhang; LingFeng Wang 002; Shiming Xiang; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver. - Yan-Ming Zhang 001; Xu-Yao Zhang; Xiao-Tong Yuan; Cheng-Lin Liu 001 (AAAI, 2016)

Handwritten Chinese Character Recognition by Joint Classification and Similarity Ranking. - Cheng Cheng; Xu-Yao Zhang; Xiaohu Shao; Xiang-Dong Zhou (ICFHR, 2016)

Unsupervised Adaptation of Neural Networks for Chinese Handwriting Recognition. - Hong-Ming Yang; Xu-Yao Zhang; Fei Yin; Zhenbo Luo; Cheng-Lin Liu 001 (ICFHR, 2016)

Exploiting coarse-to-fine mechanism for fine-grained recognition. - Yongzhong Wang; Xu-Yao Zhang; Yanming Zhang 001; Xinwen Hou; Cheng-Lin Liu 001 (ICIP, 2016)

Handwritten Chinese character recognition with spatial transformer and deep residual networks. - Zhao Zhong; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 001 (ICPR, 2016)

Adaptive spatial pooling for image classification. - Yinglu Liu; Yan-Ming Zhang 001; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2016)

Discriminative quadratic feature learning for handwritten Chinese character recognition. - Ming-Ke Zhou; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 001 (Pattern Recognit., 2016)

MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multicategory Classification. - Lingfeng Wang 002; Xu-Yao Zhang; Chunhong Pan (IEEE Trans. Neural Networks Learn. Syst., 2016)

Handwritten Chinese Character Blind Inpainting with Conditional Generative Adversarial Nets. - Zhao Zhong; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (ACPR, 2017)

Deep Direct Regression for Multi-oriented Scene Text Detection. - Wenhao He; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 001 (ICCV, 2017)

Handwriting Style Mixture Adaptation. - Hong-Ming Yang; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2017)

Margin-Aware Binarized Weight Networks for Image Classification. - Ting-Bing Xu; Peipei Yang; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICIG (1), 2017)

Dynamic Multi-Task Learning with Convolutional Neural Network. - Yuchun Fang; Zhengyan Ma; Zhaoxiang Zhang 001; Xu-Yao Zhang; Xiang Bai (IJCAI, 2017)

Diverse Neuron Type Selection for Convolutional Neural Networks. - Guibo Zhu; Zhaoxiang Zhang 001; Xu-Yao Zhang; Cheng-Lin Liu 001 (IJCAI, 2017)

Scene Text Recognition with Sliding Convolutional Character Models. - Fei Yin; Yi-Chao Wu; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2017)

SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition. - Guo-Sen Xie; Xu-Yao Zhang; Shuicheng Yan; Cheng-Lin Liu 001 (Int. J. Comput. Vis., 2017)

LG-CNN: From local parts to global discrimination for fine-grained recognition. - Guo-Sen Xie; Xu-Yao Zhang; Wenhan Yang; Mingliang Xu 001; Shuicheng Yan; Cheng-Lin Liu 001 (Pattern Recognit., 2017)

Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark. - Xu-Yao Zhang; Yoshua Bengio; Cheng-Lin Liu 001 (Pattern Recognit., 2017)

Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation. - Guo-Sen Xie; Xu-Yao Zhang; Shuicheng Yan; Cheng-Lin Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2017)

Field Support Vector Machines. - Kaizhu Huang; Haochuan Jiang; Xu-Yao Zhang (IEEE Trans. Emerg. Top. Comput. Intell., 2017)

End-to-End Online Writer Identification With Recurrent Neural Network. - Xu-Yao Zhang; Guo-Sen Xie; Cheng-Lin Liu 001; Yoshua Bengio (IEEE Trans. Hum. Mach. Syst., 2017)

Robust Classification With Convolutional Prototype Learning. - Hong-Ming Yang; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 001 (CVPR, 2018)

Deep Transfer Mapping for Unsupervised Writer Adaptation. - Hong-Ming Yang; Xu-Yao Zhang; Fei Yin; Jun Sun 004; Cheng-Lin Liu 001 (ICFHR, 2018)

Convolutional Discriminant Analysis. - Guoqiang Zhong 001; Yan Zheng; Xu-Yao Zhang; Hongxu Wei; Xiao Ling (ICPR, 2018)

Image-to-Markup Generation via Paired Adversarial Learning. - Jin-Wen Wu; Fei Yin; Yan-Ming Zhang 001; Xu-Yao Zhang; Cheng-Lin Liu 001 (ECML/PKDD (1), 2018)

From Class-Specific to Class-Mixture: Cascaded Feature Representations via Restricted Boltzmann Machine Learning. - Guo-Sen Xie; Xiao-Bo Jin; Xu-Yao Zhang; Shaofei Zang; Chunlei Yang; Zhiheng Wang; Jiexin Pu (IEEE Access, 2018)

SCAN: Sliding Convolutional Attention Network for Scene Text Recognition. - Yi-Chao Wu; Fei Yin; Xu-Yao Zhang; Li Liu 004; Cheng-Lin Liu 001 (CoRR, 2018)

Drawing and Recognizing Chinese Characters with Recurrent Neural Network. - Xu-Yao Zhang; Fei Yin; Yan-Ming Zhang 001; Cheng-Lin Liu 001; Yoshua Bengio (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression. - Wenhao He; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 001 (IEEE Trans. Image Process., 2018)

TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting. - Wei Feng 016; Wenhao He; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICCV, 2019)

Cross-Modal Prototype Learning for Zero-Shot Handwriting Recognition. - Xiang Ao 002; Xu-Yao Zhang; Hong-Ming Yang; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2019)

CASIA-AHCDB: A Large-Scale Chinese Ancient Handwritten Characters Database. - Yue Xu; Fei Yin; Da-Han Wang; Xu-Yao Zhang; Zhaoxiang Zhang 001; Cheng-Lin Liu 001 (ICDAR, 2019)

Fast Text/non-Text Image Classification with Knowledge Distillation. - Miao Zhao; Rui-Qi Wang; Fei Yin; Xu-Yao Zhang; Lin-Lin Huang 001; Jean-Marc Ogier (ICDAR, 2019)

Predictive Ensemble Learning with Application to Scene Text Detection. - Danlu Chen; Xu-Yao Zhang; Wei Zhang 031; Yao Lu; Xiuli Li; Tao Mei 001 (CoRR, 2019)

LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation. - Ting-Bing Xu; Peipei Yang; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2019)

Stochastic Conjugate Gradient Algorithm With Variance Reduction. - Xiao-Bo Jin; Xu-Yao Zhang; Kaizhu Huang; Guang-Gang Geng (IEEE Trans. Neural Networks Learn. Syst., 2019)

Dewarping Document Image by Displacement Flow Estimation with Fully Convolutional Network. - Guo-Wang Xie; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (DAS, 2020)

Cross-Lingual Text Image Recognition via Multi-Task Sequence to Sequence Learning. - Zhuo Chen; Fei Yin; Xu-Yao Zhang; Qing Yang 002; Cheng-Lin Liu 001 (ICPR, 2020)

F-mixup: Attack CNNs From Fourier Perspective. - Xiu-Chuan Li; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 001 (ICPR, 2020)

Mutually Guided Dual-Task Network for Scene Text Detection. - Mengbiao Zhao; Wei Feng 016; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICPR, 2020)

Gate-Fusion Transformer for Multimodal Sentiment Analysis. - Longfei Xie; Xu-Yao Zhang (ICPRAI, 2020)

Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm. - Mengbiao Zhao; Wei Feng 016; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2020)

Handwritten Mathematical Expression Recognition via Paired Adversarial Learning. - Jin-Wen Wu; Fei Yin; Yan-Ming Zhang 001; Xu-Yao Zhang; Cheng-Lin Liu 001 (Int. J. Comput. Vis., 2020)

A benchmark for unconstrained online handwritten Uyghur word recognition. - Wujiahemaiti Simayi; Mayire Ibrahim; Xu-Yao Zhang; Cheng-Lin Liu 001; Askar Hamdulla (Int. J. Document Anal. Recognit., 2020)

Online semi-supervised learning with learning vector quantization. - Yuan-Yuan Shen; Yan-Ming Zhang 001; Xu-Yao Zhang; Cheng-Lin Liu 001 (Neurocomputing, 2020)

Towards Robust Pattern Recognition: A Review. - Xu-Yao Zhang; Cheng-Lin Liu 001; Ching Y. Suen (Proc. IEEE, 2020)

MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition. - Zhuo Chen; Fei Yin; Xu-Yao Zhang; Qing Yang 002; Cheng-Lin Liu 001 (Pattern Recognit., 2020)

Realtime multi-scale scene text detection with scale-based region proposal network. - Wenhao He; Xu-Yao Zhang; Fei Yin; Zhenbo Luo; Jean-Marc Ogier; Cheng-Lin Liu 001 (Pattern Recognit., 2020)

SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification. - Guo-Sen Xie; Zheng Zhang 006; Li Liu 004; Fan Zhu 001; Xu-Yao Zhang; Ling Shao 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Proxy Graph Matching with Proximal Matching Networks. - Haoru Tan; Chuang Wang 007; Sitong Wu; Tie-Qiang Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (AAAI, 2021)

Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition. - Jin-Wen Wu; Fei Yin; Yan-Ming Zhang 001; Xu-Yao Zhang; Cheng-Lin Liu 001 (AAAI, 2021)

Semantic-Aware Video Text Detection. - Wei Feng 016; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2021)

Prototype Augmentation and Self-Supervision for Incremental Learning. - Fei Zhu 004; Xu-Yao Zhang; Chuang Wang 007; Fei Yin; Cheng-Lin Liu 001 (CVPR, 2021)

Adaptive Scaling for Archival Table Structure Recognition. - Xiao-Hui Li 012; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICDAR (1), 2021)

Document Dewarping with Control Points. - Guo-Wang Xie; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICDAR (1), 2021)

GSS: Graph-Based Subspace Learning with Shots Initialization for few-shot Recognition. - Rui-Qi Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICME, 2021)

Class Forge: Boosting Feature Encoder for Few-Shot Learning with Synthesized Classes. - Rui-Qi Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICME, 2021)

Calibration for Non-Exemplar Based Class-Incremental Learning. - Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (ICME, 2021)

Class-Incremental Learning via Dual Augmentation. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001 (NeurIPS, 2021)

End-to-End Detection and Recognition of Arithmetic Expressions. - Jiangpeng Wan; Mengbiao Zhao; Fei Yin; Xu-Yao Zhang; Linlin Huang 001 (PRCV (1), 2021)

Residual Dual Scale Scene Text Spotting by Fusing Bottom-Up and Top-Down Processing. - Wei Feng 016; Fei Yin; Xu-Yao Zhang; Wenhao He; Cheng-Lin Liu 001 (Int. J. Comput. Vis., 2021)

VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning. - Guo-Sen Xie; Xu-Yao Zhang; Yazhou Yao; Zheng Zhang 006; Fang Zhao 006; Ling Shao 001 (IEEE Trans. Image Process., 2021)

Rethinking Confidence Calibration for Failure Prediction. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001 (ECCV (25), 2022)

Critical Radical Analysis Network for Chinese Character Recognition. - Guo-Feng Luo; Huayi Yin; Da-Han Wang; Xu-Yao Zhang; Shunzhi Zhu (ICPR, 2022)

Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks. - Yuqi Wang 001; Xu-Yao Zhang; Cheng-Lin Liu 001; Zhaoxiang Zhang 001 (CoRR, 2022)

Convolutional Prototype Network for Open Set Recognition. - Hong-Ming Yang; Xu-Yao Zhang; Fei Yin; Qing Yang 002; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Cross-modal prototype learning for zero-shot handwritten character recognition. - Xiang Ao 002; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2022)

A survey of robust adversarial training in pattern recognition: Fundamental, theory, and methodologies. - Zhuang Qian; Kaizhu Huang; Qiu-Feng Wang 001; Xu-Yao Zhang (Pattern Recognit., 2022)

Decision-Based Adversarial Attack With Frequency Mixup. - Xiu-Chuan Li; Xu-Yao Zhang; Fei Yin; Cheng-Lin Liu 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm. - Mengbiao Zhao; Wei Feng 016; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Image Process., 2022)

Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition. - Rui-Qi Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

OpenMix: Exploring Outlier Samples for Misclassification Detection. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2023)

Towards Reliable Domain Generalization: A New Dataset and Evaluations. - Jiao Zhang; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2023)

Training with scaled logits to alleviate class-level over-fitting in few-shot learning. - Rui-Qi Wang; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (Neurocomputing, 2023)

Towards prior gap and representation gap for long-tailed recognition. - Ming-Liang Zhang 005; Xu-Yao Zhang; Chuang Wang 007; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

A Survey on Learning to Reject. - Xu-Yao Zhang; Guo-Sen Xie; Xiuli Li; Tao Mei 001; Cheng-Lin Liu 001 (Proc. IEEE, 2023)

Adversarial training with distribution normalization and margin balance. - Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

Learning by Seeing More Classes. - Fei Zhu 004; Xu-Yao Zhang; Rui-Qi Wang; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Imitating the oracle: Towards calibrated model for class incremental learning. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001 (Neural Networks, 2023)

Self-information of radicals: A new clue for zero-shot Chinese character recognition. - Guo-Feng Luo; Da-Han Wang; Xia Du; Huayi Yin; Xu-Yao Zhang; Shunzhi Zhu (Pattern Recognit., 2023)

Deep representation learning for domain generalization with information bottleneck principle. - Jiao Zhang; Xu-Yao Zhang; Chuang Wang 007; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

Leveraging Balanced Semantic Embedding for Generative Zero-Shot Learning. - Guo-Sen Xie; Xu-Yao Zhang; Tian-Zhu Xiang; Fang Zhao 006; Zheng Zhang 006; Ling Shao 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dynamics-aware loss for learning with label noise. - Xiu-Chuan Li; Xiaobo Xia; Fei Zhu 004; Tongliang Liu; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

Unified Entropy Optimization for Open-Set Test-Time Adaptation. - Zhengqing Gao; Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2024)

Active Generalized Category Discovery. - Shijie Ma; Fei Zhu 004; Zhun Zhong; Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2024)

RCL: Reliable Continual Learning for Unified Failure Detection. - Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001; Zhaoxiang Zhang 001 (CVPR, 2024)

PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning. - Haiyang Guo; Fei Zhu 004; Wenzhuo Liu; Xu-Yao Zhang; Cheng-Lin Liu (ECCV (65), 2024)

Prototype Calibration with Synthesized Samples for Zero-Shot Chinese Character Recognition. - Xiang Ao 002; Xiaohui Li 012; Xu-Yao Zhang; Chenglin Liu 001 (ICASSP, 2024)

Cross-Domain Few-Shot Learning with Equiangular Embedding and Dynamic Adversarial Augmentation. - Ziwei Xiang; Luming Chen; Kai Lei; Xu-Yao Zhang (ICONIP (3), 2024)

UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning. - Liangchen Chen; Shu Gao; Baoxu Liu; Xu-Yao Zhang (ICPR (5), 2024)

ENS-RFMC: An Encrypted Network Traffic Sampling Method Based on Rule-Based Feature Extraction and Multi-hierarchical Clustering for Intrusion Detection. - Liangchen Chen; Shu Gao; Zi-Xuan Wei; Baoxu Liu; Xu-Yao Zhang (ICPR (24), 2024)

Delving into Feature Space: Improving Adversarial Robustness by Feature Spectral Regularization. - Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu (ICPR (26), 2024)

OCR4HSV: A Multi-task Learning Approach for Handwritten Signature Verification. - Chao-Qun Lin; Da-Han Wang; Yanfei Su; De-Wu Ge; Xu-Yao Zhang (ICPR (31), 2024)

SANS: Spatial-Aware Neural Solver for Plane Geometry Problem. - Zi-Hao Lin; Shun-Xin Xiao; Zirong Chen; Jian-Min Li; Da-Han Wang; Xu-Yao Zhang (ICPR (31), 2024)

Learning Explicit Radical Representations for Zero-Shot Chinese Character Recognition. - Song-Liang Pan; Da-Han Wang; Nanfeng Jiang; Xu-Yao Zhang; Shunzhi Zhu (ICPR (31), 2024)

Document Image Shadow Removal via Frequency Information-Oriented Network. - Fan Yang; Xinyue Zhou; Nanfeng Jiang; Da-Han Wang; Xu-Yao Zhang; Guantin Li; Wang Man; Yun Wu 001 (ICPR (31), 2024)

DocHFormer: Document Image Dewarping via Harmonized Modeling of Hierarchical Priors. - Xinyue Zhou; Guanting Li; Nanfeng Jiang; Da-Han Wang; Xu-Yao Zhang; Shunzhi Zhu (ICPR (31), 2024)

RCFormer : Interactive Image Segmentation via Reconstructing Click Vision Transformers. - PanPan Chen; Dahan Wang; Jiahua Wu; Yun Wu 001; YiFan He; XuYao Zhang; Shunzhi Zhu (IJCNN, 2024)

Character Relationship Refinement Network for Handwritten Mathematical Expression Recognition. - LiWei Jiang; Nanfeng Jiang; Yun Wu 001; Da-Han Wang; XuYao Zhang; Shunzhi Zhu (IJCNN, 2024)

Happy: A Debiased Learning Framework for Continual Generalized Category Discovery. - Shijie Ma; Fei Zhu 004; Zhun Zhong; Wenzhuo Liu; Xu-Yao Zhang; Chenglin Liu 001 (NeurIPS, 2024)

Adapting Vision-Language Models to Open Classes via Test-Time Prompt Tuning. - Zhengqing Gao; Xiang Ao 002; Xu-Yao Zhang; Cheng-Lin Liu 001 (PRCV (5), 2024)

Federated Class-Incremental Learning with Prototype Guided Transformer. - Haiyang Guo; Fei Zhu 004; Wenzhuo Liu; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

Open-world Machine Learning: A Review and New Outlooks. - Fei Zhu 004; Shijie Ma; Zhen Cheng; Xu-Yao Zhang; Zhaoxiang Zhang 001; Cheng-Lin Liu 001 (CoRR, 2024)

Differentiable Proximal Graph Matching. - Haoru Tan; Chuang Wang 007; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

StylePrompter: Enhancing Domain Generalization with Test-Time Style Priors. - Jiao Zhang; Jian Xu 015; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information. - Yi Chen; Jian Xu 015; Xu-Yao Zhang; Wen-Zhuo Liu; Yang-Yang Liu; Cheng-Lin Liu 001 (CoRR, 2024)

Enhancing Outlier Knowledge for Few-Shot Out-of-Distribution Detection with Extensible Local Prompts. - Fanhu Zeng; Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang (CoRR, 2024)

ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models. - Fanhu Zeng; Fei Zhu 004; Haiyang Guo; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning. - Haiyang Guo; Fei Zhu 004; Fanhu Zeng; Bing Liu; Xu-Yao Zhang (CoRR, 2024)

Large-scale continual learning for ancient Chinese character recognition. - Yue Xu; Xu-Yao Zhang; Zhaoxiang Zhang 001; Cheng-Lin Liu 001 (Pattern Recognit., 2024)

Revisiting Confidence Estimation: Towards Reliable Failure Prediction. - Fei Zhu 004; Xu-Yao Zhang; Zhen Cheng; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

HASI: Hierarchical Attention-Aware Spatio-Temporal Interaction for Video-Based Person Re-Identification. - Si Chen 002; Hui Da; Da-Han Wang; Xu-Yao Zhang; Yan Yan 001; Shunzhi Zhu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Video Text Detection With Robust Feature Representation. - Jun-Bo Zhang; Wei Feng 016; Mengbiao Zhao; Fei Yin; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Ensemble Quadratic Assignment Network for Graph Matching. - Haoru Tan; Chuang Wang 007; Sitong Wu; Xu-Yao Zhang; Fei Yin; Chenglin Liu 001 (Int. J. Comput. Vis., 2024)

Unified Classification and Rejection: A One-versus-all Framework. - Zhen Cheng; Xu-Yao Zhang; Cheng-Lin Liu 001 (Mach. Intell. Res., 2024)

Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information. - Yi Chen; Jian Xu; Xu-Yao Zhang; Wen-Zhuo Liu; Yang-Yang Liu; Cheng-Lin Liu (AAAI, 2025)

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. - Haiyang Guo; Fanhu Zeng; Ziwei Xiang; Fei Zhu 004; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu (ACL (1), 2025)

Achieving binary weight and activation for LLMs using Post-Training Quantization. - Siqing Song; Chuang Wang 007; Rui-Qi Wang; Yi Yang; Xu-Yao Zhang (ACL (Findings), 2025)

Multi-Task Model Fusion via Adaptive Merging. - Luming Chen; Ziwei Xiang; Kai Lei; Xu-Yao Zhang (ICASSP, 2025)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection. - Fanhu Zeng; Zhen Cheng; Fei Zhu 004; Hongxin Wei; Xu-Yao Zhang (ICLR, 2025)

Multi-modal pre-post treatment consistency learning for automatic segmentation and evaluation of the Circle of Willis. - Zehang Lin; Yusheng Liu; Jiahua Wu; Da-Han Wang; Xu-Yao Zhang; Shunzhi Zhu (Comput. Medical Imaging Graph., 2025)

Low-light image enhancement with quality-oriented pseudo labels via semi-supervised contrastive learning. - Nanfeng Jiang; Yiwen Cao; Xu-Yao Zhang; Da-Han Wang; Yifan He; Chiming Wang; Shunzhi Zhu (Expert Syst. Appl., 2025)

Joint radical embedding and detection for zero-shot Chinese character recognition. - Guo-Feng Luo; Da-Han Wang; Xu-Yao Zhang; Zi-Hao Lin; Shunzhi Zhu (Pattern Recognit., 2025)

Towards trustworthy dataset distillation. - Shijie Ma; Fei Zhu 004; Zhen Cheng; Xu-Yao Zhang (Pattern Recognit., 2025)

Stain-adaptive self-supervised learning for histopathology image analysis. - Haili Ye; Yuan-yuan Yang; Shunzhi Zhu; Da-Han Wang; Xu-Yao Zhang; Xin Yang; Heguang Huang (Pattern Recognit., 2025)

Towards reliable domain generalization: Insights from the PF2HC benchmark and dynamic evaluations. - Jiao Zhang; Xiang Ao 002; Xu-Yao Zhang; Cheng-Lin Liu 001 (Pattern Recognit., 2025)

Federated Continual Instruction Tuning. - Haiyang Guo; Fanhu Zeng; Fei Zhu 004; Wenzhuo Liu; Da-Han Wang; Jian Xu; Xu-Yao Zhang; Cheng-Lin Liu (CoRR, 2025)

HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model. - Haiyang Guo; Fanhu Zeng; Ziwei Xiang; Fei Zhu 004; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2025)

Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models. - Fanhu Zeng; Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang (CoRR, 2025)

Breaking the Limits of Reliable Prediction via Generated Data. - Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang; Chenglin Liu 001 (Int. J. Comput. Vis., 2025)

ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. - Shijie Ma; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu (CoRR, 2025)

DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning. - Songze Li; Tonghua Su; Xu-Yao Zhang; Qixing Xu; Zhongjie Wang 003 (CoRR, 2025)

Balancing Stability and Plasticity in Pretrained Detector: A Dual-Path Framework for Incremental Object Detection. - Songze Li; Qixing Xu; Tonghua Su; Xu-Yao Zhang; Zhongjie Wang 003 (CoRR, 2025)

Topologically Consistent Prototype Network for Incomplete Multimodal Learning. - Yang Wang; Xu-Yao Zhang; Cheng-Lin Liu (Cogn. Comput., 2025)

A Comprehensive Survey on Continual Learning in Generative Models. - Haiyang Guo; Fanhu Zeng; Fei Zhu 004; Jiayi Wang; Xukai Wang; Jingang Zhou; Hongbo Zhao 006; Wenzhuo Liu; Shijie Ma; Da-Han Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2025)

Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection. - Zhen Cheng; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Continual Learning With Knowledge Distillation: A Survey. - Songze Li; Tonghua Su; Xu-Yao Zhang; Zhongjie Wang 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)

The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM. - Shibo Gao; Peipei Yang; Haiyang Guo; Yangyang Liu; Yi Chen; Shuai Li; Han Zhu; Jian Xu; Xu-Yao Zhang; Linlin Huang (CoRR, 2025)

ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. - Shijie Ma; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning. - Fei Zhu 004; Xu-Yao Zhang; Zhen Cheng; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Learning relationship-guided vision-language transformer for facial attribute recognition. - Si Chen 002; Mingxuan Lei; Da-Han Wang; Xu-Yao Zhang; Yan Yan 001; Shunzhi Zhu (Pattern Recognit., 2026)