Learning Boosted Asymmetric Classifiers for Object Detection. - Xinwen Hou; Cheng-Lin Liu 001; Tieniu Tan (CVPR (1), 2006)

Handwritten Chinese Character Recognition: Effects of Shape Normalization and Feature Extraction. - Cheng-Lin Liu 001 (SACH, 2006)

Polynomial Network Classifier with Discriminative Feature Extraction. - Cheng-Lin Liu 001 (SSPR/SPR, 2006)

Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes. - Cheng-Lin Liu 001 (ANNPR, 2008)

A Robust System to Detect and Localize Texts in Natural Scene Images. - Yi-Feng Pan; Xinwen Hou; Cheng-Lin Liu 001 (Document Analysis Systems, 2008)

Grouping Text Lines in Online Handwritten Japanese Documents by Combining Temporal and Spatial Information. - Xiang-Dong Zhou; Da-Han Wang; Cheng-Lin Liu 001 (Document Analysis Systems, 2008)

Prototype learning with margin-based conditional log-likelihood loss. - Xiaobo Jin; Cheng-Lin Liu 001; Xinwen Hou (ICPR, 2008)

A pooled subspace mixture density model for pattern classification in high-dimensional spaces. - Xiao-Hua Liu; Cheng-Lin Liu 001; Xinwen Hou (IJCNN, 2008)

Text Localization in Natural Scene Images Based on Conditional Random Field. - Yi-Feng Pan; Xinwen Hou; Cheng-Lin Liu 001 (ICDAR, 2009)

CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters. - Da-Han Wang; Cheng-Lin Liu 001; Jin-Lun Yu; Xiang-Dong Zhou (ICDAR, 2009)

Integrating Language Model in Handwritten Chinese Text Recognition. - Qiu-Feng Wang 001; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2009)

A Variational Bayes Method for Handwritten Text Line Segmentation. - Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2009)

A Tool for Ground-Truthing Text Lines and Characters in Off-Line Handwritten Chinese Documents. - Fei Yin; Qiu-Feng Wang 001; Cheng-Lin Liu 001 (ICDAR, 2009)

Object tracking by bidirectional learning with feature selection. - Heng Wang; Xinwen Hou; Cheng-Lin Liu 001 (ICIP, 2009)

Subspace Regularization: A New Semi-supervised Learning Method. - Yan-Ming Zhang 001; Xinwen Hou; Shiming Xiang; Cheng-Lin Liu 001 (ECML/PKDD (2), 2009)

A new benchmark on the recognition of handwritten Bangla and Farsi numeral characters. - Cheng-Lin Liu 001; Ching Y. Suen (Pattern Recognit., 2009)

Handwritten Chinese text line segmentation by clustering with distance metric learning. - Fei Yin; Cheng-Lin Liu 001 (Pattern Recognit., 2009)

A robust approach to text line grouping in online handwritten Japanese documents. - Xiang-Dong Zhou; Da-Han Wang; Cheng-Lin Liu 001 (Pattern Recognit., 2009)

Transductive Learning on Adaptive Graphs. - Yan-Ming Zhang 001; Yu Zhang 006; Dit-Yan Yeung; Cheng-Lin Liu 001; Xinwen Hou (AAAI, 2010)

Gaussian Process Latent Random Field. - Guoqiang Zhong 001; Wu-Jun Li; Dit-Yan Yeung; Xinwen Hou; Cheng-Lin Liu 001 (AAAI, 2010)

Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty. - Bo Xu 008; Kaizhu Huang; Cheng-Lin Liu 001 (ICFHR, 2010)

Integrating Geometric Context for Text Alignment of Handwritten Chinese Documents. - Fei Yin; Qiu-Feng Wang 001; Cheng-Lin Liu 001 (ICFHR, 2010)

Keyword Spotting from Online Chinese Handwritten Documents Using One-vs-All Trained Character Classifier. - Heng Zhang 028; Da-Han Wang; Cheng-Lin Liu 001 (ICFHR, 2010)

Error Reduction by Confusing Characters Discrimination for Online Handwritten Japanese Character Recognition. - Xiang-Dong Zhou; Da-Han Wang; Masaki Nakagawa; Cheng-Lin Liu 001 (ICFHR, 2010)

Discriminative Training of Subspace Gaussian Mixture Model for Pattern Classification. - Xiao-Hua Liu; Cheng-Lin Liu 001 (ICIC (1), 2010)

Fast scene text localization by learning-based filtering and verification. - Yi-Feng Pan; Cheng-Lin Liu 001; Xinwen Hou (ICIP, 2010)

Learning ECOC and Dichotomizers Jointly from Data. - Guoqiang Zhong 001; Kaizhu Huang; Cheng-Lin Liu 001 (ICONIP (1), 2010)

Multi-class AdaBoost with Hypothesis Margin. - Xiaobo Jin; Xinwen Hou; Cheng-Lin Liu 001 (ICPR, 2010)

Boosting Incremental Semi-supervised Discriminant Analysis for Tracking. - Heng Wang; Xinwen Hou; Cheng-Lin Liu 001 (ICPR, 2010)

Dimensionality Reduction by Minimal Distance Maximization. - Bo Xu 008; Kaizhu Huang; Cheng-Lin Liu 001 (ICPR, 2010)

Robust Metric Learning by Smooth Optimization. - Kaizhu Huang; Rong Jin 001; Zenglin Xu; Cheng-Lin Liu 001 (UAI, 2010)

Regularized margin-based conditional log-likelihood loss for prototype learning. - Xiaobo Jin; Cheng-Lin Liu 001; Xinwen Hou (Pattern Recognit., 2010)

Action recognition by dense trajectories. - Heng Wang; Alexander Kläser; Cordelia Schmid; Cheng-Lin Liu 001 (CVPR, 2011)

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

Keyword Spotting in Offline Chinese Handwritten Documents Using a Statistical Model. - Liang Huang; Fei Yin; Qing-Hu Chen; Cheng-Lin Liu 001 (ICDAR, 2011)

CASIA Online and Offline Chinese Handwriting Databases. - Cheng-Lin Liu 001; Fei Yin; Da-Han Wang; Qiu-Feng Wang 001 (ICDAR, 2011)

ICDAR 2011 Chinese Handwriting Recognition Competition. - Cheng-Lin Liu 001; Fei Yin; Qiu-Feng Wang 001; Da-Han Wang (ICDAR, 2011)

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

Dynamic Text Line Segmentation for Real-Time Recognition of Chinese Handwritten Sentences. - Da-Han Wang; Cheng-Lin Liu 001 (ICDAR, 2011)

Improving Handwritten Chinese Text Recognition by Confidence Transformation. - Qiu-Feng Wang 001; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2011)

Touching Character Separation in Chinese Handwriting Using Visibility-Based Foreground Analysis. - Liang Xu; Fei Yin; Qiu-Feng Wang 001; Cheng-Lin Liu 001 (ICDAR, 2011)

Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields. - Xiang-Dong Zhou; Fei Yin; Da-Han Wang; Qiu-Feng Wang 001; Masaki Nakagawa; Cheng-Lin Liu 001 (ICDAR, 2011)

Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. - Yan-Ming Zhang 001; Kaizhu Huang; Cheng-Lin Liu 001 (ICDM, 2011)

Low Rank Metric Learning with Manifold Regularization. - Guoqiang Zhong 001; Kaizhu Huang; Cheng-Lin Liu 001 (ICDM, 2011)

Graphical Lasso Quadratic Discriminant Function for Character Recognition. - Bo Xu 008; Kaizhu Huang; Irwin King; Cheng-Lin Liu 001; Jun Sun 004; Satoshi Naoi (ICONIP (3), 2011)

Multi-Task Low-Rank Metric Learning Based on Common Subspace. - Peipei Yang; Kaizhu Huang; Cheng-Lin Liu 001 (ICONIP (2), 2011)

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

A Hybrid Approach to Detect and Localize Texts in Natural Scene Images. - Yi-Feng Pan; Xinwen Hou; Cheng-Lin Liu 001 (IEEE Trans. Image Process., 2011)

Text/Non-text Classification in Online Handwritten Documents with Conditional Random Fields. - Adrien Delaye; Cheng-Lin Liu 001 (CCPR, 2012)

An Effective Character Separation Method for Online Cursive Uyghur Handwriting. - Mayire Ibrahim; Heng Zhang 028; Cheng-Lin Liu 001; Askar Hamdulla (CCPR, 2012)

A Fast Stroke-Based Method for Text Detection in Video. - Bo Bai; Fei Yin; Cheng-Lin Liu 001 (Document Analysis Systems, 2012)

Arabic Handwritten Text Line Extraction by Applying an Adaptive Mask to Morphological Dilation. - Muna Khayyat; Louisa Lam; Ching Y. Suen; Fei Yin; Cheng-Lin Liu 001 (Document Analysis Systems, 2012)

Improving Handwritten Chinese Text Recognition by Unsupervised Language Model Adaptation. - Qiu-Feng Wang 001; Fei Yin; Cheng-Lin Liu 001 (Document Analysis Systems, 2012)

A Touching Character Database from Chinese Handwriting for Assessing Segmentation Algorithms. - Liang Xu; Fei Yin; Qiu-Feng Wang 001; Cheng-Lin Liu 001 (ICFHR, 2012)

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)

Insect species recognition using discriminative local soft coding. - An Lu; Xinwen Hou; Cheng-Lin Liu 001; Xiaolin Chen (ICPR, 2012)

String-level learning of confidence transformation for Chinese handwritten text recognition. - Da-Han Wang; Cheng-Lin Liu 001 (ICPR, 2012)

A confidence-based method for keyword spotting in online Chinese handwritten documents. - Heng Zhang 028; Da-Han Wang; Cheng-Lin Liu 001 (ICPR, 2012)

Joint learning of error-correcting output codes and dichotomizers from data. - Guoqiang Zhong 001; Kaizhu Huang; Cheng-Lin Liu 001 (Neural Comput. Appl., 2012)

Maxi-Min discriminant analysis via online learning. - Bo Xu 008; Kaizhu Huang; Cheng-Lin Liu 001 (Neural Networks, 2012)

Handwritten Chinese Text Recognition by Integrating Multiple Contexts. - Qiu-Feng Wang 001; Fei Yin; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

An approach for real-time recognition of online Chinese handwritten sentences. - Da-Han Wang; Cheng-Lin Liu 001; Xiang-Dong Zhou (Pattern Recognit., 2012)

Visual Gesture Character String Recognition by Classification-Based Segmentation with Stroke Deletion. - Xiao-Jie Jin; Qiu-Feng Wang 001; Xinwen Hou; Cheng-Lin Liu 001 (ACPR, 2013)

A Compact Spatial Feature Representation for Image Classification. - Yinglu Liu; Xinwen Hou; Cheng-Lin Liu 001 (ACPR, 2013)

An Algorithm for Maximum Common Subgraph of Planar Triangulation Graphs. - Yao Lu; Horst Bunke; Cheng-Lin Liu 001 (GbRPR, 2013)

Scene Text Localization Using Gradient Local Correlation. - Bo Bai; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2013)

Hybrid Page Segmentation with Efficient Whitespace Rectangles Extraction and Grouping. - Kai Chen; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2013)

Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting. - Yan-Fei Lv; Linlin Huang 001; Da-Han Wang; Cheng-Lin Liu 001 (ICDAR, 2013)

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

Style Consistent Perturbation for Handwritten Chinese Character Recognition. - Fei Yin; Ming-Ke Zhou; Qiu-Feng Wang 001; Cheng-Lin Liu 001 (ICDAR, 2013)

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

Minimum Risk Training for Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields. - Xiang-Dong Zhou; Feng Tian 001; Cheng-Lin Liu 001; Hongan Wang (ICDAR, 2013)

GPU-Based Fast Training of Discriminative Learning Quadratic Discriminant Function for Handwritten Chinese Character Recognition. - Ming-Ke Zhou; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2013)

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

Handwriting representation and recognition through a sparse projection and low-rank recovery framework. - Zhao Zhang 001; Cheng-Lin Liu 001; Ming-Bo Zhao (IJCNN, 2013)

Fast kNN Graph Construction with Locality Sensitive Hashing. - Yan-Ming Zhang 001; Kaizhu Huang; Guanggang Geng; Cheng-Lin Liu 001 (ECML/PKDD (2), 2013)

Common Sense Knowledge for Handwritten Chinese Text Recognition. - Qiu-Feng Wang 001; Erik Cambria; Cheng-Lin Liu 001; Amir Hussain 001 (Cogn. Comput., 2013)

Dense Trajectories and Motion Boundary Descriptors for Action Recognition. - Heng Wang; Alexander Kläser; Cordelia Schmid; Cheng-Lin Liu 001 (Int. J. Comput. Vis., 2013)

An evaluation of statistical methods in handwritten hangul recognition. - Gyu-Ro Park; In-Jung Kim 001; Cheng-Lin Liu 001 (Int. J. Document Anal. Recognit., 2013)

Keyword Spotting from Online Chinese Handwritten Documents using One-versus-All Character Classification Model. - Heng Zhang 028; Da-Han Wang; Cheng-Lin Liu 001; Horst Bunke (Int. J. Pattern Recognit. Artif. Intell., 2013)

Keyword spotting in unconstrained handwritten Chinese documents using contextual word model. - Liang Huang; Fei Yin; Qing-Hu Chen; Cheng-Lin Liu 001 (Image Vis. Comput., 2013)

Geometry preserving multi-task metric learning. - Peipei Yang; Kaizhu Huang; Cheng-Lin Liu 001 (Mach. Learn., 2013)

A multi-task framework for metric learning with common subspace. - Peipei Yang; Kaizhu Huang; Cheng-Lin Liu 001 (Neural Comput. Appl., 2013)

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

Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields. - Xiang-Dong Zhou; Da-Han Wang; Feng Tian 001; Cheng-Lin Liu 001; Masaki Nakagawa (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Online and offline handwritten Chinese character recognition: Benchmarking on new databases. - Cheng-Lin Liu 001; Fei Yin; Da-Han Wang; Qiu-Feng Wang 001 (Pattern Recognit., 2013)

Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context. - Fei Yin; Qiu-Feng Wang 001; Cheng-Lin Liu 001 (Pattern Recognit., 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)

Error-correcting output codes based ensemble feature extraction. - Guoqiang Zhong 001; 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)

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)

A Nonlinear Classifier Based on Factorization Machines Model. - Xiaolong Liu; Yanming Zhang 001; Cheng-Lin Liu 001 (CCPR (1), 2014)

A Seed-Based Segmentation Method for Scene Text Extraction. - Bo Bai; Fei Yin; Cheng-Lin Liu 001 (Document Analysis Systems, 2014)

Evaluation of Geometric Context Models for Handwritten Numeral String Recognition. - Yi-Chao Wu; Fei Yin; Cheng-Lin Liu 001 (ICFHR, 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)

Multi-class segmentation of free-form online documents with tree conditional random fields. - Adrien Delaye; Cheng-Lin Liu 001 (Int. J. Document Anal. Recognit., 2014)

Learning confidence transformation for handwritten Chinese text recognition. - Da-Han Wang; Cheng-Lin Liu 001 (Int. J. Document Anal. Recognit., 2014)

An over-segmentation method for single-touching Chinese handwriting with learning-based filtering. - Liang Xu; Fei Yin; Qiu-Feng Wang 001; Cheng-Lin Liu 001 (Int. J. Document Anal. Recognit., 2014)

Graphical lasso quadratic discriminant function and its application to character recognition. - Bo Xu 008; Kaizhu Huang; Irwin King; Cheng-Lin Liu 001; Jun Sun 004; Satoshi Naoi (Neurocomputing, 2014)

Unsupervised language model adaptation for handwritten Chinese text recognition. - Qiu-Feng Wang 001; Fei Yin; Cheng-Lin Liu 001 (Pattern Recognit., 2014)

Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents. - Heng Zhang 028; Da-Han Wang; Cheng-Lin Liu 001 (Pattern Recognit., 2014)

Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition. - Xiang-Dong Zhou; Yan-Ming Zhang 001; Feng Tian 001; Hongan Wang; Cheng-Lin Liu 001 (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)

Learning Locality Preserving Graph from Data. - Yan-Ming Zhang 001; Kaizhu Huang; Xinwen Hou; Cheng-Lin Liu 001 (IEEE Trans. Cybern., 2014)

Neural network based over-segmentation for scene text recognition. - Xin He; Yi-Chao Wu; Kai Chen; Fei Yin; Cheng-Lin Liu 001 (ACPR, 2015)

Traffic sign detection from video: A fast approach with tracking. - Dongdong Wang; Xinwen Hou; Cheng-Lin Liu 001 (ACPR, 2015)

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

Efficient text localization in born-digital images by local contrast-based segmentation. - Kai Chen; Fei Yin; Amir Hussain 001; Cheng-Lin Liu 001 (ICDAR, 2015)

Evaluation of neural network language models in handwritten Chinese text recognition. - Yi-Chao Wu; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2015)

Lexicon-driven recognition of one-stroke character strings in visual gesture. - Fei Yin; Pai pai Liu; Linlin Huang 001; Cheng-Lin Liu 001 (ICDAR, 2015)

A saliency-based cascade method for fast traffic sign detection. - Dongdong Wang; Shigang Yue; Jiawei Xu 004; Xinwen Hou; Cheng-Lin Liu 001 (Intelligent Vehicles Symposium, 2015)

A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction. - Zhao Zhang 001; Cheng-Lin Liu 001; Ming-Bo Zhao (ACM Trans. Intell. Syst. Technol., 2015)

MTC: A Fast and Robust Graph-Based Transductive Learning Method. - Yan-Ming Zhang 001; Kaizhu Huang; Guang-Gang Geng; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 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)

Incremental Learning Vector Quantization for Character Recognition with Local Style Consistency. - Yuan-Yuan Shen; Cheng-Lin Liu 001 (BICS, 2016)

Effective Candidate Component Extraction for Text Localization in Born-Digital Images by Combining Text Contours and Stroke Interior Regions. - Kai Chen; Fei Yin; Cheng-Lin Liu 001 (DAS, 2016)

Natural Scene Character Recognition Using Robust PCA and Sparse Representation. - Zheng Zhang 006; Yong Xu 001; Cheng-Lin Liu 001 (DAS, 2016)

Fast Aircraft Detection Using End-to-End Fully Convolutional Network. - Ting-Bing Xu; Guangliang Cheng; Jie Yang; Cheng-Lin Liu 001 (DSP, 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)

Context-aware mathematical expression recognition: An end-to-end framework and a benchmark. - Wenhao He; Yuxuan Luo; Fei Yin; Han Hu; Junyu Han; Errui Ding; Cheng-Lin Liu 001 (ICPR, 2016)

Joint training of conditional random fields and neural networks for stroke classification in online handwritten documents. - Jun-Yu Ye; Yan-Ming Zhang 001; Cheng-Lin Liu 001 (ICPR, 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)

Pattern Recognition, Part 1 [Guest editors' introduction]. - Cheng-Lin Liu 001; Brian C. Lovell; Dacheng Tao; Massimo Tistarelli (IEEE Intell. Syst., 2016)

Pattern Recognition, Part 2. - Cheng-Lin Liu 001; Brian C. Lovell; Dacheng Tao; Massimo Tistarelli (IEEE Intell. Syst., 2016)

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

A fast projected fixed-point algorithm for large graph matching. - Yao Lu; Kaizhu Huang; 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)

Text Detection, Tracking and Recognition in Video: A Comprehensive Survey. - Xu-Cheng Yin; Ze-Yu Zuo; Shu Tian; Cheng-Lin Liu 001 (IEEE Trans. Image Process., 2016)

Fast Genre Classification of Web Images Using Global and Local Features. - Guo-Shuai Liu; Fei Yin; Zhenbo Luo; Cheng-Lin Liu 001 (ACPR, 2017)

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)

Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks. - Zhuo Chen; Yichao Wu; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2017)

ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT. - Nibal Nayef; Fei Yin; Imen Bizid; Hyunsoo Choi; Yuan Feng; Dimosthenis Karatzas; Zhenbo Luo; Umapada Pal 001; Christophe Rigaud; Joseph Chazalon; Wafa Khlif; Muhammad Muzzamil Luqman; et al. (ICDAR, 2017)

Radical-Based Chinese Character Recognition via Multi-Labeled Learning of Deep Residual Networks. - Tie-Qiang Wang; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2017)

Scene Text Detection with Novel Superpixel Based Character Candidate Extraction. - Cong Wang; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2017)

Handwritten Chinese Text Recognition Using Separable Multi-Dimensional Recurrent Neural Network. - Yi-Chao Wu; Fei Yin; Zhuo Chen; Cheng-Lin Liu 001 (ICDAR, 2017)

Page Segmentation for Historical Handwritten Documents Using Fully Convolutional Networks. - Yue Xu; Wenhao He; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2017)

A Unified Video Text Detection Method with Network Flow. - Xue-Hang Yang; Wenhao He; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2017)

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

Chinese Handwriting Generation by Neural Network Based Style Transformation. - Bi-Ren Tan; Fei Yin; Yi-Chao Wu; Cheng-Lin Liu 001 (ICIG (1), 2017)

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

A Flattened Maximally Stable Extremal Region Method for Scene Text Detection. - Quan Qiu; Yuan Feng; Fei Yin; Cheng-Lin Liu 001 (IGTA, 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)

Keyword spotting in handwritten chinese documents using semi-markov conditional random fields. - Heng Zhang 028; Xiang-Dong Zhou; Cheng-Lin Liu 001 (Eng. Appl. Artif. Intell., 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)

Building Regional Covariance Descriptors for Vehicle Detection. - Xueyun Chen; Ren-Xi Gong; Ling-Ling Xie; Shiming Xiang; Cheng-Lin Liu 001; Chunhong Pan (IEEE Geosci. Remote. Sens. Lett., 2017)

Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models. - Yi-Chao Wu; Fei Yin; Cheng-Lin Liu 001 (Pattern Recognit., 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)

Special issue "Advances in graph-based pattern recognition". - Cheng-Lin Liu 001; Bin Luo 001; Walter G. Kropatsch (Pattern Recognit. Lett., 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)

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)

Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test. - Dongdong Wang; Xinwen Hou; Jiawei Xu 004; Shigang Yue; Cheng-Lin Liu 001 (IEEE Trans. Intell. Transp. Syst., 2017)

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

Practical Block-Wise Neural Network Architecture Generation. - Zhao Zhong; Junjie Yan; Wei Wu 021; Jing Shao; Cheng-Lin Liu 001 (CVPR, 2018)

Printed/Handwritten Texts and Graphics Separation in Complex Documents Using Conditional Random Fields. - Xiaohui Li 012; Fei Yin; Cheng-Lin Liu 001 (DAS, 2018)

Online Video Text Detection with Markov Decision Process. - Xue-Hang Yang; Fei Yin; Cheng-Lin Liu 001 (DAS, 2018)

Memory-Augmented Attention Model for Scene Text Recognition. - Cong Wang; Fei Yin; Cheng-Lin Liu 001 (ICFHR, 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)

Scene Text Detection with Recurrent Instance Segmentation. - Wei Feng 016; Wenhao He; Fei Yin; Cheng-Lin Liu 001 (ICPR, 2018)

Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering. - Xiaohui Li 012; Fei Yin; Cheng-Lin Liu 001 (ICPR, 2018)

Anomaly Detection via Minimum Likelihood Generative Adversarial Networks. - Chu Wang; Yan-Ming Zhang 001; Cheng-Lin Liu 001 (ICPR, 2018)

Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks. - Yue Xu; Fei Yin; Zhaoxiang Zhang 001; Cheng-Lin Liu 001 (IJCAI, 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)

Fast genre classification of web images using global and local features. - Guo-Shuai Liu; Rui-Qi Wang; Fei Yin; Jean-Marc Ogier; Cheng-Lin Liu 001 (CAAI Trans. Intell. Technol., 2018)

Special Issue of BICS 2016. - Cheng-Lin Liu 001; Amir Hussain 001; Bin Luo 001; Kay Chen Tan; Yi Zeng 001; Zhaoxiang Zhang 001 (Cogn. Comput., 2018)

Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation. - Yuan-Yuan Shen; Cheng-Lin Liu 001 (Cogn. Comput., 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)

Special issue on deep learning for document analysis and recognition. - Cheng-Lin Liu 001; Gernot A. Fink; Venu Govindaraju; Lianwen Jin (Int. J. Document Anal. Recognit., 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)

Data-Distortion Guided Self-Distillation for Deep Neural Networks. - Ting-Bing Xu; Cheng-Lin Liu 001 (AAAI, 2019)

Bag of Tricks for 3D MRI Brain Tumor Segmentation. - Yuan-Xing Zhao; Yan-Ming Zhang 001; Cheng-Lin Liu 001 (BrainLes@MICCAI (1), 2019)

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)

Instance Aware Document Image Segmentation using Label Pyramid Networks and Deep Watershed Transformation. - Xiaohui Li 012; Fei Yin; Tao Xue; Long Liu; Jean-Marc Ogier; Cheng-Lin Liu 001 (ICDAR, 2019)

A Robust Data Hiding Scheme Using Generated Content for Securing Genuine Documents. - Vinh Loc Cu; Jean-Christophe Burie; Jean-Marc Ogier; Cheng-Lin Liu 001 (ICDAR, 2019)

Hiding Security Feature Into Text Content for Securing Documents Using Generated Font. - Vinh Loc Cu; Jean-Christophe Burie; Jean-Marc Ogier; Cheng-Lin Liu 001 (ICDAR, 2019)

ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. - Nibal Nayef; Cheng-Lin Liu 001; Jean-Marc Ogier; Yash Patel; Michal Busta; Pinaki Nath Chowdhury; Dimosthenis Karatzas; Wafa Khlif; Jiri Matas; Umapada Pal 001; Jean-Christophe Burie (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)

Contextual Stroke Classification in Online Handwritten Documents with Graph Attention Networks. - Jun-Yu Ye; Yan-Ming Zhang 001; Qing Yang 002; Cheng-Lin Liu 001 (ICDAR, 2019)

Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric Learning. - Yi-Kang Zhang; Heng Zhang 028; Yong-Ge Liu; Qing Yang 002; Cheng-Lin Liu 001 (ICDAR, 2019)

Online Handwritten Diagram Recognition with Graph Attention Networks. - Xiao-Long Yun; Yan-Ming Zhang 001; Jun-Yu Ye; Cheng-Lin Liu 001 (ICIG (1), 2019)

Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network. - Yuan-Xing Zhao; Yan-Ming Zhang 001; Ming Song; Cheng-Lin Liu 001 (MICCAI (3), 2019)

Decision Controller for Object Tracking With Deep Reinforcement Learning. - Zhao Zhong; Zichen Yang; Weitao Feng; Wei Wu 021; Yangyang Hu; Cheng-Lin Liu 001 (IEEE Access, 2019)

Editorial for special issue on "Advanced Topics in Document Analysis and Recognition". - Cheng-Lin Liu 001; Andreas Dengel 001; Rafael Dueire Lins (Int. J. Document Anal. Recognit., 2019)

Special issue on advances in graph algorithm and applications. - Zhi-Yong Liu 001; Kaizhu Huang; Xu Yang 004; Cheng-Lin Liu 001 (Neurocomputing, 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)

Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss. - Hanyang Peng; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Page Segmentation Using Convolutional Neural Network and Graphical Model. - Xiaohui Li 012; Fei Yin; Cheng-Lin Liu 001 (DAS, 2020)

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)

Weakly Supervised Learning for Over-Segmentation Based Handwritten Chinese Text Recognition. - Zhen-Xing Wang; Qiu-Feng Wang 001; Fei Yin; Cheng-Lin Liu 001 (ICFHR, 2020)

ICFHR 2020 Competition on Offline Recognition and Spotting of Handwritten Mathematical Expressions - OffRaSHME. - Da-Han Wang; Fei Yin; Jin-Wen Wu; Yu-Pei Yan; Zhicai Huang; Gui-Yun Chen; Yao Wang; Cheng-Lin Liu 001 (ICFHR, 2020)

SRR-GAN: Super-Resolution based Recognition with GAN for Low-Resolved Text Images. - Ming-Chao Xu; Fei Yin; Cheng-Lin Liu 001 (ICFHR, 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)

Table detection and cell segmentation in online handwritten documents with graph attention networks. - Ying Liu; Heng Zhang 028; Xiao-Long Yun; Jun-Yu Ye; Cheng-Lin Liu 001 (MMAsia, 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)

Teaching machines to write like humans using L-attributed grammar. - Yunxue Shao; Cheng-Lin Liu 001 (Eng. Appl. Artif. Intell., 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)

DNA computing inspired deep networks design. - Guoqiang Zhong 001; Tao Li 031; Wencong Jiao; Li-Na Wang; Junyu Dong; 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)

Special issue on "Applications of graph-based techniques to pattern recognition". - Pasquale Foggia; Mario Vento; Cheng-Lin Liu 001 (Pattern Recognit. Lett., 2020)

Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks. - Jun-Yu Ye; Yan-Ming Zhang 001; Qing Yang 002; Cheng-Lin Liu 001 (SN Comput. Sci., 2020)

Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition. - Jinpeng Li 002; Shuang Qiu 002; Yuan-Yuan Shen; Cheng-Lin Liu 001; Huiguang He (IEEE Trans. Cybern., 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)

DCT-DWT-FFT Based Method for Text Detection in Underwater Images. - Ayan Banerjee 002; Palaiahnakote Shivakumara; Soumyajit Pal; Umapada Pal 001; Cheng-Lin Liu 001 (ACPR (2), 2021)

CASIA-onDo: A New Database for Online Handwritten Document Analysis. - Yu-Ting Yang; Yan-Ming Zhang 001; Xiao-Long Yun; Fei Yin; Cheng-Lin Liu 001 (ACPR (2), 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)

Recognizing Handwritten Chinese Texts with Insertion and Swapping Using a Structural Attention Network. - Shi Yan; Jin-Wen Wu; Fei Yin; Cheng-Lin Liu 001 (ICDAR (4), 2021)

Handwriting Trajectory Recovery from Off-Line Multi-Stroke Characters by Deep Ordering Prediction and Heuristic Search. - Tie-Qiang Wang; Cheng-Lin Liu 001 (ICME, 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)

Regularizing CTC in Expectation-Maximization Framework with Application to Handwritten Text Recognition. - Likun Gao; Heng Zhang 028; Cheng-Lin Liu 001 (IJCNN, 2021)

Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss. - Yuan-Xing Zhao; Yan-Ming Zhang 001; Ming Song; Cheng-Lin Liu 001 (MICCAI (5), 2021)

Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression. - Deli Yu; Peipei Yang; Cheng-Lin Liu 001 (MIPR, 2021)

Learning to Understand Traffic Signs. - Yunfei Guo; Wei Feng 016; Fei Yin; Tao Xue; Shuqi Mei; Cheng-Lin Liu 001 (ACM Multimedia, 2021)

Class-Incremental Learning via Dual Augmentation. - Fei Zhu 004; Zhen Cheng 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (NeurIPS, 2021)

Editorial: Special Issue on Recent Advances in Cognitive Learning and Data Analysis. - Jinchang Ren; Amir Hussain 001; Jiangbin Zheng 001; Cheng-Lin Liu 001; Bin Luo 001 (Cogn. Comput., 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)

Multi-branch guided attention network for irregular text recognition. - Cong Wang; Cheng-Lin Liu 001 (Neurocomputing, 2021)

BlockQNN: Efficient Block-Wise Neural Network Architecture Generation. - Zhao Zhong; Zichen Yang; Boyang Deng; Junjie Yan; Wei Wu 021; Jing Shao; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

SNAP: Shaping neural architectures progressively via information density criterion. - Zhiqiang Chen; Ting-Bing Xu; Weijian Liao; Zhengcheng Li; Jinpeng Li 002; Cheng-Lin Liu 001; Huiguang He (Pattern Recognit., 2021)

Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks. - Jun-Yu Ye; Yan-Ming Zhang 001; Qing Yang 002; Cheng-Lin Liu 001 (Pattern Recognit., 2021)

Deformable scene text detection using harmonic features and modified pixel aggregation network. - Tanmay Jain; Shivakumara Palaiahnakote; Umapada Pal 001; Cheng-Lin Liu 001 (Pattern Recognit. Lett., 2021)

Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks. - Zhiqiang Chen; Ting-Bing Xu; Changde Du; Cheng-Lin Liu 001; Huiguang He (IEEE Trans. Neural Networks Learn. Syst., 2021)

Rethinking Confidence Calibration for Failure Prediction. - Fei Zhu 004; Zhen Cheng 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (ECCV (25), 2022)

EAU-Net: A New Edge-Attention Based U-Net for Nationality Identification. - Aritro Pal Choudhury; Palaiahnakote Shivakumara; Umapada Pal 001; Cheng-Lin Liu 001 (ICFHR, 2022)

An Efficient Prototype-Based Model for Handwritten Text Recognition with Multi-loss Fusion. - Mingming Yu; Heng Zhang 028; Fei Yin; Cheng-Lin Liu 001 (ICFHR, 2022)

A Large-Scale Database for Chemical Structure Recognition and Preliminary Evaluation. - Longfei Ding; Mengbiao Zhao; Fei Yin; Shuiling Zeng; Cheng-Lin Liu 001 (ICPR, 2022)

Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition. - Hong-Yu Guo; Chuang Wang 007; Fei Yin; Heng-Ye Liu; Jin-Wen Wu; Cheng-Lin Liu 001 (ICPR, 2022)

DPAM: A New Deep Parallel Attention Model for Multiple License Plate Number Recognition. - Amish Kumar; Palaiahnakote Shivakumara; Pinaki Nath Chowdhury; Umapada Pal 001; Cheng-Lin Liu 001 (ICPR, 2022)

Document Image Rectification in Complex Scene Using Stacked Siamese Networks. - Zhen Xu; Fei Yin; Peipei Yang; Cheng-Lin Liu 001 (ICPR, 2022)

A New Deep Fuzzy Based MSER Model for Multiple Document Images Classification. - Kunal Biswas; Palaiahnakote Shivakumara; Sittravell Sivanthi; Umapada Pal 001; Yue Lu 001; Cheng-Lin Liu 001; Mohamad Nizam Bin Ayub (ICPRAI (1), 2022)

Interpolation Kernel Machine and Indefinite Kernel Methods for Graph Classification. - Jiaqi Zhang; Cheng-Lin Liu 001; Xiaoyi Jiang 001 (ICPRAI (2), 2022)

Plane Geometry Diagram Parsing. - Ming-Liang Zhang 005; Fei Yin; Yi-Han Hao; Cheng-Lin Liu 001 (IJCAI, 2022)

Editorial: Special Issue on Recent Advances in Cognitive Learning and Data Analysis. - Bin Luo 001; Jin Tang 001; Cheng-Lin Liu 001 (Cogn. Comput., 2022)

Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss. - Yuan-Xing Zhao; Yan-Ming Zhang 001; Ming Song; Cheng-Lin Liu 001 (Cogn. Comput., 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)

Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing. - Xiao-Hui Li 012; Fei Yin; He-Sen Dai; Cheng-Lin Liu 001 (Pattern Recognit., 2022)

Query Pixel Guided Stroke Extraction with Model-Based Matching for Offline Handwritten Chinese Characters. - Tie-Qiang Wang; Xiaoyi Jiang 001; Cheng-Lin Liu 001 (Pattern Recognit., 2022)

A comprehensive scheme for tattoo text detection. - Ayan Banerjee 002; Palaiahnakote Shivakumara; Umapada Pal 001; Ramachandra Raghavendra; Cheng-Lin Liu 001 (Pattern Recognit. Lett., 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)

Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. - Mei Wang 001; Weihong Deng; Cheng-Lin Liu 001 (IEEE Trans. Image Process., 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)

Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams. - Xiao-Long Yun; Yan-Ming Zhang 001; Fei Yin; Cheng-Lin Liu 001 (IEEE Trans. Multim., 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)

Deep Neural Network Self-Distillation Exploiting Data Representation Invariance. - Ting-Bing Xu; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Social Relation Reasoning Based on Triangular Constraints. - Yunfei Guo; Fei Yin; Wei Feng 016; Xudong Yan; Tao Xue; Shuqi Mei; Cheng-Lin Liu 001 (AAAI, 2023)

A New Lightweight Attention-Based Model for Emotion Recognition on Distorted Social Media Face Images. - Ayush Roy; Palaiahnakote Shivakumara; Umapada Pal 001; Shivanand S. Gornale; Cheng-Lin Liu 001 (ACPR (2), 2023)

Scene Text Detection with Box Supervision and Level Set Evolution. - Mengbiao Zhao; Fei Yin; Cheng-Lin Liu 001 (ACPR (1), 2023)

Interpolation Kernel Machines: Reducing Multiclass to Binary. - Jiaqi Zhang; Cheng-Lin Liu 001; Xiaoyi Jiang 001 (CAIP (1), 2023)

OpenMix: Exploring Outlier Samples for Misclassification Detection. - Fei Zhu 004; Zhen Cheng 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (CVPR, 2023)

Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification. - Jiaqi Zhang; Cheng-Lin Liu 001; Xiaoyi Jiang 001 (GbRPR, 2023)

Streaming Stroke Classification of Online Handwriting. - Jing-Yu Liu; Yan-Ming Zhang 001; Fei Yin; Cheng-Lin Liu 001 (ICASSP, 2023)

Visual Traffic Knowledge Graph Generation from Scene Images. - Yunfei Guo; Fei Yin; Xiao-Hui Li 012; Xudong Yan; Tao Xue; Shuqi Mei; Cheng-Lin Liu 001 (ICCV, 2023)

ICDAR 2023 Competition on Recognition of Multi-line Handwritten Mathematical Expressions. - Chenyang Gao; Yuliang Liu; Shiyu Yao; Jinfeng Bai; Xiang Bai; Lianwen Jin; Cheng-Lin Liu 001 (ICDAR (2), 2023)

ViSA: Visual and Semantic Alignment for Robust Scene Text Recognition. - Zhenru Pan; Zhilong Ji; Xiao Liu 040; Jinfeng Bai; Cheng-Lin Liu 001 (ICDAR (2), 2023)

ICDAR 2023 Competition on Born Digital Video Text Question Answering. - Zhibo Yang 003; Xiaoge Song; Sibo Song; Tong Lu; Xiang Bai; Cheng-Lin Liu 001; Fei Huang 002; Cong Yao (ICDAR (2), 2023)

ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images. - Wenwen Yu; Chengquan Zhang; Haoyu Cao 001; Wei Hua 005; Bohan Li; Huang Chen; Mingyu Liu; Mingrui Chen; Jianfeng Kuang; Mengjun Cheng; Yuning Du; Shikun Feng; et al. (ICDAR (2), 2023)

Diff-Writer: A Diffusion Model-Based Stylized Online Handwritten Chinese Character Generator. - Minsi Ren; Yan-Ming Zhang 001; Qiu-Feng Wang 001; Fei Yin; Cheng-Lin Liu 001 (ICONIP (10), 2023)

A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. - Ming-Liang Zhang 005; Fei Yin; Cheng-Lin Liu 001 (IJCAI, 2023)

A Gaze-based Bilateral Teleoperation Framework for a Team of Mobile Robots *. - Juzheng Mao; Guangming Song; Cheng-Lin Liu 001; Mingquan Zhang; Shengyu Xie; Shuang Hao 004; Aiguo Song (ROBIO, 2023)

Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning. - Wenzhuo Liu; Xin-Jian Wu; Fei Zhu 004; Mingming Yu; Chuang Wang 007; Cheng-Lin Liu 001 (CoRR, 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 open-set text recognition via label-to-prototype learning. - Chang Liu 083; Chun Yang; Haibo Qin; Xiaobin Zhu 001; Cheng-Lin Liu 001; Xu-Cheng Yin (Pattern Recognit., 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)

Texts as points: Scene text detection with point supervision. - Mengbiao Zhao; Wei Feng 016; Fei Yin; Cheng-Lin Liu 001 (Pattern Recognit. Lett., 2023)

A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images. - Palaiahnakote Shivakumara; Ayan Banerjee 002; Umapada Pal 001; Lokesh Nandanwar; Tong Lu; Cheng-Lin Liu 001 (IEEE Trans. Image Process., 2023)

Cycle-Consistent Weakly Supervised Visual Grounding With Individual and Contextual Representations. - Ruisong Zhang; Chuang Wang 007; Cheng-Lin Liu 001 (IEEE Trans. Image Process., 2023)

Cross-Lingual Text Image Recognition via Multi-Hierarchy Cross-Modal Mimic. - Zhuo Chen; Fei Yin; Qing Yang 002; Cheng-Lin Liu 001 (IEEE Trans. Multim., 2023)

A Two-Level Rectification Attention Network for Scene Text Recognition. - Lintai Wu; Yong Xu 001; Junhui Hou; C. L. Philip Chen; Cheng-Lin Liu 001 (IEEE Trans. Multim., 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 003; 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 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (Neural Networks, 2023)

DyGAT: Dynamic stroke classification of online handwritten documents and sketches. - Yu-Ting Yang; Yan-Ming Zhang 001; Xiao-Long Yun; Fei Yin; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

A New Lightweight Script Independent Scene Text Style Transfer Network. - Palaiahnakote Shivakumara; Ayush Roy; Lokesh Nandanwar; Umapada Pal 001; Yue Lu 001; Cheng-Lin Liu 001 (Int. J. Pattern Recognit. Artif. Intell., 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)

VQAPT: A New visual question answering model for personality traits in social media images. - Kunal Biswas; Palaiahnakote Shivakumara; Umapada Pal 001; Cheng-Lin Liu 001; Yue Lu 001 (Pattern Recognit. Lett., 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)

LANS: A Layout-Aware Neural Solver for Plane Geometry Problem. - Zhongzhi Li; Ming-Liang Zhang 005; Fei Yin; Cheng-Lin Liu 001 (ACL (Findings), 2024)

GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving. - Jiaxin Zhang 024; Zhongzhi Li; Ming-Liang Zhang 005; Fei Yin; Cheng-Lin Liu 001; Yashar Moshfeghi (ACL (Findings), 2024)

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 003; Xu-Yao Zhang; Cheng-Lin Liu 001; Zhaoxiang Zhang 001 (CVPR, 2024)

WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models. - Xin-Jian Wu; Ruisong Zhang; Jie Qin; Shijie Ma; Chenglin Liu 001 (ECCV (44), 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)

GraphMLLM: A Graph-Based Multi-level Layout Language-Independent Model for Document Understanding. - He-Sen Dai; Xiao-Hui Li 012; Fei Yin; Xudong Yan; Shuqi Mei; Cheng-Lin Liu 001 (ICDAR (1), 2024)

A New Unsupervised Approach for Text Localization in Shaky and Non-shaky Scene Video. - Arnab Halder; Shivakumara Palaiahnakote; Umapada Pal 001; Michael Blumenstein; Cheng-Lin Liu 001 (ICDAR (5), 2024)

Deep Metric Learning with Cross-Writer Attention for Offline Signature Verification. - Lu-Rong Ling; Heng Zhang 028; Fei Yin; Cheng-Lin Liu 001 (ICDAR (2), 2024)

Context-Aware Confidence Estimation for Rejection in Handwritten Chinese Text Recognition. - Yangyang Liu; Yi Chen; Fei Yin; Cheng-Lin Liu 001 (ICDAR (1), 2024)

MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution. - Wenzhuo Liu; Fei Zhu 004; Shijie Ma; Cheng-Lin Liu 001 (NeurIPS, 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)

Sequential Transformer for End-to-End Video Text Detection. - Jun-Bo Zhang; Mengbiao Zhao; Fei Yin; Cheng-Lin Liu 001 (WACV, 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 003; Xu-Yao Zhang; Zhaoxiang Zhang 001; Cheng-Lin Liu 001 (CoRR, 2024)

Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning. - Wenzhuo Liu; Fei Zhu 004; Cheng-Lin Liu 001 (CoRR, 2024)

Towards Non-Exemplar Semi-Supervised Class-Incremental Learning. - Wenzhuo Liu; Fei Zhu 004; Cheng-Lin Liu 001 (CoRR, 2024)

Multi-scale Unified Network for Image Classification. - Wenzhuo Liu; Fei Zhu 004; Cheng-Lin Liu 001 (CoRR, 2024)

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

Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from Diagram. - Ming-Liang Zhang 005; Zhong-Zhi Li; Fei Yin; Liang Lin; Cheng-Lin Liu 001 (CoRR, 2024)

CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models. - Zhong-Zhi Li; Ming-Liang Zhang 005; Fei Yin; Zhi-Long Ji; Jin-Feng Bai; Zhen-Ru Pan; Fanhu Zeng; Jian Xu 015; Jiaxin Zhang 024; 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)

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)

SignParser: An End-to-End Framework for Traffic Sign Understanding. - Yunfei Guo; Wei Feng 016; Fei Yin; Cheng-Lin Liu 001 (Int. J. Comput. Vis., 2024)

An end-to-end model for multi-view scene text recognition. - Ayan Banerjee 002; Palaiahnakote Shivakumara; Saumik Bhattacharya; Umapada Pal 001; Cheng-Lin Liu 001 (Pattern Recognit., 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)

An approach for handwritten Chinese text recognition unifying character segmentation and recognition. - Mingming Yu; Heng Zhang 028; Fei Yin; Cheng-Lin Liu 001 (Pattern Recognit., 2024)

Polynomial kernel learning for interpolation kernel machines with application to graph classification. - Jiaqi Zhang; Cheng-Lin Liu 001; Xiaoyi Jiang 001 (Pattern Recognit. Lett., 2024)

Transformer-based stroke relation encoding for online handwriting and sketches. - Jing-Yu Liu; Yan-Ming Zhang 001; Fei Yin; Cheng-Lin Liu 001 (Pattern Recognit., 2024)

Revisiting Confidence Estimation: Towards Reliable Failure Prediction. - Fei Zhu 004; Xu-Yao Zhang; Zhen Cheng 003; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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 003; Xu-Yao Zhang; Cheng-Lin Liu 001 (Mach. Intell. Res., 2024)

LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating. - Chao Deng; Jiale Yuan; Pi Bu; Peijie Wang; Zhong-Zhi Li; Jian Xu 015; Xiao-Hui Li; Yuan Gao; Jun Song; Bo Zheng 007; Cheng-Lin Liu 001 (ACL (1), 2025)

DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning. - Xiao-Hui Li 012; Fei Yin; Cheng-Lin Liu 001 (CVPR, 2025)

MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts. - Peijie Wang; Zhong-Zhi Li; Fei Yin; Dekang Ran; Cheng-Lin Liu 001 (CVPR, 2025)

HiE-VL: A Large Vision-Language Model with Hierarchical Adapter for Handwritten Mathematical Expression Recognition. - Hong-Yu Guo; Fei Yin; Jian Xu 015; Cheng-Lin Liu 001 (ICASSP, 2025)

Vision-language pre-training for graph-based handwritten mathematical expression recognition. - Hong-Yu Guo; Chuang Wang 007; Fei Yin; Xiao-Hui Li 012; Cheng-Lin Liu 001 (Pattern Recognit., 2025)

Class incremental learning with self-supervised pre-training and prototype learning. - Wenzhuo Liu; Xin-Jian Wu; Fei Zhu 004; Ming-Ming Yu; Chuang Wang 007; Cheng-Lin Liu 001 (Pattern Recognit., 2025)

A novel domain independent scene text localizer. - Ayush Roy; Shivakumara Palaiahnakote; Umapada Pal 001; Cheng-Lin Liu 001 (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)

Split-net: Dual transformer encoder with splitting scene text image for script identification. - Ayush Roy; Shivakumara Palaiahnakote; Umapada Pal 001; Chenglin Liu 001 (Pattern Recognit. Lett., 2025)

Cross-Modal Causal Representation Learning for Radiology Report Generation. - Weixing Chen; Yang Liu 084; Ce Wang; Jiarui Zhu; Guanbin Li; Cheng-Lin Liu 001; Liang Lin (IEEE Trans. Image Process., 2025)

From System 1 to System 2: A Survey of Reasoning Large Language Models. - Zhong-Zhi Li; Duzhen Zhang; Ming-Liang Zhang; Jiaxin Zhang; Zengyan Liu; Yuxuan Yao; Haotian Xu; Junhao Zheng; Pei-Jie Wang; Xiuyi Chen; Yingying Zhang; Fei Yin; et al. (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)

Breaking the Limits of Reliable Prediction via Generated Data. - Zhen Cheng 003; Fei Zhu 004; Xu-Yao Zhang; Chenglin Liu 001 (Int. J. Comput. Vis., 2025)

Multimodal Agricultural Agent Architecture (MA3): A New Paradigm for Intelligent Agricultural Decision-Making. - Zhuoning Xu; Jian Xu 015; Mingqing Zhang; Peijie Wang; Chao Deng; Cheng-Lin Liu 001 (CoRR, 2025)

SOLIDGEO: Measuring Multimodal Spatial Math Reasoning in Solid Geometry. - Peijie Wang; Chao Yang; Zhong-Zhi Li; Fei Yin; Dekang Ran; Mi Tian; Zhilong Ji; Jinfeng Bai; Chenglin Liu 001 (CoRR, 2025)

TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression. - Zhong-Zhi Li; Xiao Liang; Zihao Tang; Lei Ji; Peijie Wang; Haotian Xu; Xing W; Haizhen Huang; Weiwei Deng; Yeyun Gong; Zhijiang Guo; Xiao Liu 040; et al. (CoRR, 2025)

LLaVA-c: Continual Improved Visual Instruction Tuning. - Wenzhuo Liu; Fei Zhu 004; Haiyang Guo; Longhui Wei; Cheng-Lin Liu 001 (CoRR, 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 003; Fei Zhu 004; Xu-Yao Zhang; Cheng-Lin Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 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 003; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

QDNet: Query-Denoising Network for Visual Traffic Knowledge Graph Generation. - Yunfei Guo; Fei Yin; Xiao-Hui Li 012; Cheng-Lin Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)