A Near-Linear Time Algorithm for Binarization of Fingerprint Images Using Distance Transform. - Xuefeng Liang; Arijit Bishnu; Tetsuo Asano (IWCIA, 2004)

A Combined Radial Basis Function Model for Fingerprint Distortion. - Xuefeng Liang; Tetsuo Asano; Hui Zhang (ICIAR (2), 2006)

Fingerprint Matching Using Minutia Polygons. - Xuefeng Liang; Tetsuo Asano (ICPR (1), 2006)

Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients. - Hui Zhang; Tu Bao Ho; Mao Song Lin; Xuefeng Liang (ISNN (1), 2006)

Distorted Fingerprint Indexing Using Minutia Detail and Delaunay Triangle. - Xuefeng Liang; Tetsuo Asano; Arijit Bishnu (ISVD, 2006)

A Linear Time Algorithm for Binary Fingerprint Image Denoising Using Distance Transform. - Xuefeng Liang; Tetsuo Asano (IEICE Trans. Inf. Syst., 2006)

A Combinatorial Approach to Fingerprint Binarization and Minutiae Extraction Using Euclidean Distance Transform. - Xuefeng Liang; Arijit Bishnu; Tetsuo Asano (Int. J. Pattern Recognit. Artif. Intell., 2007)

A Robust Fingerprint Indexing Scheme Using Minutia Neighborhood Structure and Low-Order Delaunay Triangles. - Xuefeng Liang; Arijit Bishnu; Tetsuo Asano (IEEE Trans. Inf. Forensics Secur., 2007)

Visual Mark for Robot Manipulation and Its RT-Middleware Component. - Kenichi Ohara; Takayuki Sugawara; Jae Hoon Lee; Tetsuo Tomizawa; Hyun Min Do; Xuefeng Liang; Yong-Shik Kim; Bong Keun Kim; Yasushi Sumi; Tamio Tanikawa; Hiromu Onda; Kohtaro Ohba (Adv. Robotics, 2008)

A compensation scheme of fingerprint distortion using combined radial basis function model for ubiquitous services. - Xuefeng Liang; Naixue Xiong; Laurence Tianruo Yang; Hui Zhang 001; Jong Hyuk Park 001 (Comput. Commun., 2008)

Towards a Performance-Based Resource Server Access Control in Future Grid Communication Environments. - Naixue Xiong; Laurence T. Yang; Jong Hyuk Park 001; Xuefeng Liang; Tai-Hoon Kim (Wirel. Pers. Commun., 2009)

Multi-subregion face recognition using coarse-to-fine Quad-tree decomposition. - Cuicui Zhang; Xuefeng Liang; Takashi Matsuyama (ICPR, 2012)

Small sample size face recognition using Random Quad-Tree based ensemble algorithm. - Cuicui Zhang; Xuefeng Liang; Takashi Matsuyama (ICDP, 2013)

Mixed-motion Segmentation Using Helmholtz Decomposition. - Cuicui Zhang; Xuefeng Liang; Takashi Matsuyama (IPSJ Trans. Comput. Vis. Appl., 2013)

Inlier Estimation for Moving Camera Motion Segmentation. - Xuefeng Liang; Cuicui Zhang; Takashi Matsuyama (ACCV (4), 2014)

Anaba: An obscure sightseeing spots discovering system. - Chenyi Zhuang; Qiang Ma 001; Xuefeng Liang; Masatoshi Yoshikawa (ICME, 2014)

Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks. - Cuicui Zhang; Xuefeng Liang; Takashi Matsuyama (Sensors, 2014)

Discovering Obscure Sightseeing Spots by Analysis of Geo-tagged Social Images. - Chenyi Zhuang; Qiang Ma 001; Xuefeng Liang; Masatoshi Yoshikawa (ASONAM, 2015)

Decision-Tree Based Hybrid Filter-Wrapping Method for the Fusion of Multiple Feature Sets. - Cuicui Zhang; Xuefeng Liang; Naixue Xiong (ICIG (2), 2015)

External and internal learning for single-image super-resolution. - Shuang Wang 001; Shaopeng Lin; Xuefeng Liang; Bo Yue; Licheng Jiao (ICIP, 2015)

A General Inlier Estimation for Moving Camera Motion Segmentation. - Xuefeng Liang; Cuicui Zhang; Takashi Matsuyama (IPSJ Trans. Comput. Vis. Appl., 2015)

Robust Noisy Image Super-Resolution Using ell _1 -norm Regularization and Non-local Constraint. - Bo Yue; Shuang Wang 001; Xuefeng Liang; Licheng Jiao (ACCV Workshops (1), 2016)

Visual attention inspired distant view and close-up view classification. - Song Tong; Yuen Peng Loh; Xuefeng Liang; Takatsune Kumada (ICIP, 2016)

How does the Low-Rank Matrix Completion Help Internal and External Learnings for Super-Resolution. - Shuang Wang 001; Bo Yue; Xuefeng Liang; Peiyuan Ji; Licheng Jiao (CoRR, 2016)

Joint Prior Learning for Visual Sensor Network Noisy Image Super-Resolution. - Bo Yue; Shuang Wang 001; Xuefeng Liang; Licheng Jiao; Caijin Xu (Sensors, 2016)

Learning the Cultural Consistent Facial Aesthetics by Convolutional Neural Network. - Song Tong; Xuefeng Liang; Takatsune Kumada; Sunao Iwaki; Naoko Tosa (Culture Computing, 2017)

Understanding Scenery Quality: A Visual Attention Measure and Its Computational Model. - Yuen Peng Loh; Song Tong; Xuefeng Liang; Takatsune Kumada; Chee Seng Chan (ICCV Workshops, 2017)

SAR images super-resolution via cartoon-texture image decomposition and jointly optimized regressors. - Zhen Wang; Shuang Wang 001; Caijin Xu; Chengyuan Li; Bo Yue; Xuefeng Liang (IGARSS, 2017)

Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data. - Xuefeng Liang; Lixin Fan; Yuen Peng Loh; Yang Liu; Song Tong (CoRR, 2017)

Robust coupled dictionary learning with ℓ1-norm coefficients transition constraint for noisy image super-resolution. - Bo Yue; Shuang Wang 001; Xuefeng Liang; Licheng Jiao (Signal Process., 2017)

Cross-Spectral Image Patch Matching by Learning Features of the Spatially Connected Patches in a Shared Space. - Dou Quan; Shuai Fang; Xuefeng Liang; Shuang Wang 001; Licheng Jiao (ACCV (2), 2018)

Deep Generative Matching Network for Optical and SAR Image Registration. - Dou Quan; Shuang Wang 001; Xuefeng Liang; Ruojing Wang; Shuai Fang; Biao Hou; Licheng Jiao (IGARSS, 2018)

An external learning assisted self-examples learning for image super-resolution. - Bo Yue; Shuang Wang 001; Xuefeng Liang; Licheng Jiao (Neurocomputing, 2018)

How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution. - Shuang Wang 001; Bo Yue; Xuefeng Liang; Licheng Jiao (IEEE Trans. Image Process., 2018)

Understanding the Photo-shooting Patterns of Sightseeing. - Xuefeng Liang; Song Tong; Takatsune Kumada; Yuen Peng Loh (DSIT, 2019)

AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching. - Dou Quan; Xuefeng Liang; Shuang Wang 001; Shaowei Wei; Yanfeng Li; Ning Huyan; Licheng Jiao (ICCV, 2019)

Better and Faster: Exponential Loss for Image Patch Matching. - Shuang Wang 001; Yanfeng Li; Xuefeng Liang; Dou Quan; Bowu Yang; Shaowei Wei; Licheng Jiao (ICCV, 2019)

Golden Ratio: The Attributes of Facial Attractiveness Learned By CNN. - Xuefeng Liang; Song Tong; Takatsune Kumada; Sunao Iwaki (ICIP, 2019)

Photo Shot-Type Disambiguation by Multi-Classifier Semi-Supervised Learning. - Yang Liu; Xuefeng Liang; Song Tong; Takatsune Kumada (ICIP, 2019)

An Improved Fully Convolutional Network for Learning Rich Building Features. - Shuang Wang 001; Ligang Zhou; Pei He; Dou Quan; Qing Zhao; Xuefeng Liang; Biao Hou (IGARSS, 2019)

Optimal Design of Validation Experiments Based on Area Metric Factor and Fuzzy Expert System. - Bin Suo; Dongyang Sun; Baoqiang Zhang; Xuefeng Liang (IEEE Access, 2019)

Wide or Narrow? A Visual Attention Inspired Model for View-Type Classification. - Song Tong; Yuen Peng Loh; Xuefeng Liang; Takatsune Kumada (IEEE Access, 2019)

UAV Autonomous Target Search Based on Deep Reinforcement Learning in Complex Disaster Scene. - Chunxue Wu; Bobo Ju; Yan Wu 007; Xiao Lin; Naixue Xiong; Guangquan Xu; Hongyan Li 003; Xuefeng Liang (IEEE Access, 2019)

Low-light image enhancement using Gaussian Process for features retrieval. - Yuen Peng Loh; Xuefeng Liang; Chee Seng Chan (Signal Process. Image Commun., 2019)

Face super-resolution via bilayer contextual representation. - Kangli Zeng; Tao Lu 001; Xuefeng Liang; Kai Li 005; Hui Chen; Yanduo Zhang (Signal Process. Image Commun., 2019)

Jointly Discriminating and Frequent Visual Representation Mining. - Qiannan Wang; Ying Zhou; Zhaoyan Zhu; Xuefeng Liang; Yu Gu 015 (ACCV (3), 2020)

Deep Relevance Feature Clustering for Discovering Visual Representation of Tourism Destination. - Qiannan Wang; Zhaoyan Zhu; Xuefeng Liang; Huiwen Shi; Pu Cao (PRCV (3), 2020)

Progressive Co-Teaching for Ambiguous Speech Emotion Recognition. - Yifei Yin; Yu Gu 015; Longshan Yao; Ying Zhou; Xuefeng Liang; He Zhang (ICASSP, 2021)

CALLip: Lipreading using Contrastive and Attribute Learning. - Yiyang Huang; Xuefeng Liang; Chaowei Fang (ACM Multimedia, 2021)

The Determination Method of Battlefield Monitoring Interval Period Based on the Complicatedness of Situation Changes. - Teng-Jiao Mao; Dongge Zhang; Yanjie Niu; Minggang Yu; Xuefeng Liang; Ming He (IEEE Access, 2021)

Noisy Label Learning in Deep Learning. - Xuefeng Liang; Longshan Yao; Xingyu Liu (ICIS, 2022)

A Single-Pathway Biomimetic Model for Potential Collision Prediction. - Song Zhang; Guodong Lei; Xuefeng Liang (PRCV (3), 2022)

Tripartite: Tackle Noisy Labels by a More Precise Partition. - Xuefeng Liang; Longshan Yao; Xingyu Liu; Ying Zhou (CoRR, 2022)

A joint framework for mining discriminative and frequent visual representation. - Ying Zhou; Xuefeng Liang; Xiaosong Zhang; Zhihui Liang; Chenyang Wang; Yu Gu 015; Yifei Yin (Neurocomputing, 2022)

Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition. - Ying Zhou; Xuefeng Liang; Yu Gu 015; Yifei Yin; Longshan Yao (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification. - Yuanhao Cui; Fang Liu 001; Licheng Jiao; Yuwei Guo 001; Xuefeng Liang; Lingling Li 002; Shuyuan Yang 001; Xiaoxue Qian (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Outlier Detection Using Memory and Contrastive Learning. - Ning Huyan; Dou Quan; Xiangrong Zhang; Xuefeng Liang; Jocelyn Chanussot; Licheng Jiao (IEEE Trans. Image Process., 2022)

Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching. - Dou Quan; Shuang Wang 001; Ning Huyan; Jocelyn Chanussot; Ruojing Wang; Xuefeng Liang; Biao Hou; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Interpreting Positional Information in Perspective of Word Order. - Xilong Zhang; Ruochen Liu; Jin Liu; Xuefeng Liang (ACL (1), 2023)

Inferring Affective Experience from the Big Picture Metaphor: A Two-dimensional Visual Breadth Model. - Song Tong; Jingyi Duan; Xuefeng Liang; Takatsune Kumada; Kaiping Peng; Ryoichi Nakashima (CVPR Workshops, 2023)

Adaptive Mask Co-Optimization for Modal Dependence in Multimodal Learning. - Ying Zhou; Xuefeng Liang; Shiquan Zheng; Huijun Xuan; Takatsune Kumada (ICASSP, 2023)

Pairwise-Emotion Data Distribution Smoothing for Emotion Recognition. - Hexin Jiang; Xuefeng Liang; Wenxin Xu; Ying Zhou (PRCV (3), 2023)

MetaSelection: A Learnable Masked AutoEncoder for Multimodal Sentiment Feature Selection. - Xuefeng Liang; Han Chen; Huijun Xuan; Ying Zhou (PRCV (7), 2023)

Stable Visual Pattern Mining via Pattern Probability Distribution. - Yifan Ma; Xuefeng Liang; Xiaoyu Lin; Guanghui Shi (PRCV (8), 2023)

Gaussian-smoothed Imbalance Data Improves Speech Emotion Recognition. - Xuefeng Liang; Hexin Jiang; Wenxin Xu; Ying Zhou (CoRR, 2023)

Quadripartite: Tackle Noisy Labels by Better Utilizing Uncertain Samples. - Xiaoxuan Cui; Xuefeng Liang; Chang Cao; Guanghui Shi; Nesma El-haddar (IJCNN, 2024)

Leveraging Knowledge of Modality Experts for Incomplete Multimodal Learning. - Wenxin Xu; Hexin Jiang; Xuefeng Liang (ACM Multimedia, 2024)

Triple Disentangled Representation Learning for Multimodal Affective Analysis. - Ying Zhou; Xuefeng Liang; Han Chen; Yin Zhao (CoRR, 2024)

WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs. - Weijian Xie; Xuefeng Liang; Yuhui Liu; Kaihua Ni; Hong Cheng; Zetian Hu (CoRR, 2024)

Uncertainty-oriented Order Learning for Facial Beauty Prediction. - Xuefeng Liang; Zhenyou Liu; Jian Lin; Xiaohui Yang; Takatsune Kumada (CoRR, 2024)

Multipattern Mining Using Pattern-Level Contrastive Learning and Multipattern Activation Map. - Xuefeng Liang; Zhihui Liang; Huiwen Shi; Xiaosong Zhang; Ying Zhou; Yifan Ma (IEEE Trans. Neural Networks Learn. Syst., 2024)

Large Multimodal Model is a Better Comparator on Facial Beauty Prediction. - Zhenyou Liu; Xuefeng Liang; Jian Lin (ICASSP, 2025)

Sample-level Self-paced Learning to Tackle Multimodal Imbalance Problem. - Ying Zhou; Xuefeng Liang; Yue Xu; Bowen Gao (ICASSP, 2025)

LipReading for Low-resource Languages by Language Dynamic LoRA. - Shuai Zou; Xuefeng Liang; Yiyang Huang (ICASSP, 2025)

Triple disentangled representation learning for multimodal affective analysis. - Ying Zhou; Xuefeng Liang; Han Chen; Yin Zhao; Xin Chen; Lida Yu (Inf. Fusion, 2025)

Dataset-aware Utopia modality contribution for imbalanced multimodal learning. - Ying Zhou; Xuefeng Liang; Yue Xu; Xiuyun Lin (Inf. Fusion, 2025)

Learning subjective time-series data via Utopia Label Distribution Approximation. - Xuefeng Liang; Wenxin Xu; Hexin Jiang; Ying Zhou; Yin Zhao; Jie Zhang (Pattern Recognit., 2025)

Rethinking multi-pattern mining from a perspective of pattern prototype learning. - Guanghui Shi; Xuefeng Liang; Xiaoyu Lin (Pattern Recognit., 2026)