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2020 – today
- 2025
[j28]Ying Zhou, Xuefeng Liang
, Han Chen, Yin Zhao, Xin Chen, Lida Yu:
Triple disentangled representation learning for multimodal affective analysis. Inf. Fusion 114: 102663 (2025)- [j27]Xuefeng Liang, Wenxin Xu, Hexin Jiang, Ying Zhou, Yin Zhao, Jie Zhang:
Learning subjective time-series data via Utopia Label Distribution Approximation. Pattern Recognit. 157: 110924 (2025) - 2024
- [j26]Xuefeng Liang, Zhihui Liang, Huiwen Shi, Xiaosong Zhang, Ying Zhou, Yifan Ma:
Multipattern Mining Using Pattern-Level Contrastive Learning and Multipattern Activation Map. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9080-9094 (2024) - [c39]Xiaoxuan Cui, Xuefeng Liang, Chang Cao, Guanghui Shi, Nesma El-haddar:
Quadripartite: Tackle Noisy Labels by Better Utilizing Uncertain Samples. IJCNN 2024: 1-8 - [c38]Wenxin Xu, Hexin Jiang, Xuefeng Liang:
Leveraging Knowledge of Modality Experts for Incomplete Multimodal Learning. ACM Multimedia 2024: 438-446 - [i10]Ying Zhou, Xuefeng Liang, Han Chen, Yin Zhao:
Triple Disentangled Representation Learning for Multimodal Affective Analysis. CoRR abs/2401.16119 (2024) - [i9]Weijian Xie, Xuefeng Liang, Yuhui Liu, Kaihua Ni, Hong Cheng, Zetian Hu:
WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs. CoRR abs/2408.07611 (2024) - [i8]Xuefeng Liang, Zhenyou Liu, Jian Lin, Xiaohui Yang, Takatsune Kumada:
Uncertainty-oriented Order Learning for Facial Beauty Prediction. CoRR abs/2409.00603 (2024) - 2023
- [c37]Xilong Zhang, Ruochen Liu, Jin Liu, Xuefeng Liang:
Interpreting Positional Information in Perspective of Word Order. ACL (1) 2023: 9600-9613 - [c36]Song Tong, Jingyi Duan, Xuefeng Liang, Takatsune Kumada, Kaiping Peng, Ryoichi Nakashima:
Inferring Affective Experience from the Big Picture Metaphor: A Two-dimensional Visual Breadth Model. CVPR Workshops 2023: 5880-5888 - [c35]Ying Zhou, Xuefeng Liang, Shiquan Zheng, Huijun Xuan, Takatsune Kumada:
Adaptive Mask Co-Optimization for Modal Dependence in Multimodal Learning. ICASSP 2023: 1-5 - [c34]Hexin Jiang, Xuefeng Liang, Wenxin Xu, Ying Zhou:
Pairwise-Emotion Data Distribution Smoothing for Emotion Recognition. PRCV (3) 2023: 164-175 - [c33]Xuefeng Liang, Han Chen, Huijun Xuan, Ying Zhou:
MetaSelection: A Learnable Masked AutoEncoder for Multimodal Sentiment Feature Selection. PRCV (7) 2023: 170-182 - [c32]Yifan Ma, Xuefeng Liang, Xiaoyu Lin, Guanghui Shi:
Stable Visual Pattern Mining via Pattern Probability Distribution. PRCV (8) 2023: 280-292 - [i7]Xuefeng Liang, Hexin Jiang, Wenxin Xu, Ying Zhou:
Gaussian-smoothed Imbalance Data Improves Speech Emotion Recognition. CoRR abs/2302.08650 (2023) - [i6]Wenxin Xu, Hexin Jiang, Xuefeng Liang, Ying Zhou, Yin Zhao, Jie Zhang:
Learning Subjective Time-Series Data via Utopia Label Distribution Approximation. CoRR abs/2307.07682 (2023) - 2022
- [j25]Ying Zhou, Xuefeng Liang, Xiaosong Zhang, Zhihui Liang, Chenyang Wang, Yu Gu, Yifei Yin:
A joint framework for mining discriminative and frequent visual representation. Neurocomputing 500: 776-790 (2022) - [j24]Ying Zhou, Xuefeng Liang, Yu Gu, Yifei Yin, Longshan Yao:
Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30: 695-705 (2022) - [j23]Yuanhao Cui, Fang Liu, Licheng Jiao, Yuwei Guo, Xuefeng Liang, Lingling Li, Shuyuan Yang, Xiaoxue Qian:
Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j22]Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao:
Unsupervised Outlier Detection Using Memory and Contrastive Learning. IEEE Trans. Image Process. 31: 6440-6454 (2022) - [j21]Dou Quan, Shuang Wang, Ning Huyan, Jocelyn Chanussot, Ruojing Wang, Xuefeng Liang, Biao Hou, Licheng Jiao:
Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3372-3386 (2022) - [c31]Xuefeng Liang, Longshan Yao, Xingyu Liu:
Noisy Label Learning in Deep Learning. IFIP TC12 ICIS 2022: 84-97 - [c30]Song Zhang, Guodong Lei, Xuefeng Liang:
A Single-Pathway Biomimetic Model for Potential Collision Prediction. PRCV (3) 2022: 165-178 - [i5]Xuefeng Liang, Longshan Yao, Xingyu Liu, Ying Zhou:
Tripartite: Tackle Noisy Labels by a More Precise Partition. CoRR abs/2202.09579 (2022) - 2021
- [j20]Teng-Jiao Mao, Dongge Zhang, Yanjie Niu, Minggang Yu, Xuefeng Liang, Ming He:
The Determination Method of Battlefield Monitoring Interval Period Based on the Complicatedness of Situation Changes. IEEE Access 9: 165947-165955 (2021) - [c29]Yifei Yin, Yu Gu, Longshan Yao, Ying Zhou, Xuefeng Liang, He Zhang:
Progressive Co-Teaching for Ambiguous Speech Emotion Recognition. ICASSP 2021: 6264-6268 - [c28]Yiyang Huang, Xuefeng Liang, Chaowei Fang:
CALLip: Lipreading using Contrastive and Attribute Learning. ACM Multimedia 2021: 2492-2500 - [i4]Ning Huyan, Dou Quan, Xiangrong Zhang, Xuefeng Liang, Jocelyn Chanussot, Licheng Jiao:
Unsupervised Outlier Detection using Memory and Contrastive Learning. CoRR abs/2107.12642 (2021) - 2020
- [c27]Qiannan Wang, Ying Zhou, Zhaoyan Zhu, Xuefeng Liang, Yu Gu:
Jointly Discriminating and Frequent Visual Representation Mining. ACCV (3) 2020: 356-371 - [c26]Qiannan Wang, Zhaoyan Zhu, Xuefeng Liang, Huiwen Shi, Pu Cao:
Deep Relevance Feature Clustering for Discovering Visual Representation of Tourism Destination. PRCV (3) 2020: 332-341 - [i3]Ying Zhou, Xuefeng Liang, Yu Gu, Yifei Yin, Longshan Yao:
Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition. CoRR abs/2012.05429 (2020)
2010 – 2019
- 2019
- [j19]Song Tong, Yuen Peng Loh, Xuefeng Liang, Takatsune Kumada:
Wide or Narrow? A Visual Attention Inspired Model for View-Type Classification. IEEE Access 7: 48725-48738 (2019) - [j18]Bin Suo, Dongyang Sun, Baoqiang Zhang, Xuefeng Liang:
Optimal Design of Validation Experiments Based on Area Metric Factor and Fuzzy Expert System. IEEE Access 7: 94907-94916 (2019) - [j17]Chunxue Wu, Bobo Ju, Yan Wu, Xiao Lin, Naixue Xiong, Guangquan Xu, Hongyan Li, Xuefeng Liang:
UAV Autonomous Target Search Based on Deep Reinforcement Learning in Complex Disaster Scene. IEEE Access 7: 117227-117245 (2019) - [j16]Yuen Peng Loh, Xuefeng Liang, Chee Seng Chan:
Low-light image enhancement using Gaussian Process for features retrieval. Signal Process. Image Commun. 74: 175-190 (2019) - [j15]Kangli Zeng, Tao Lu, Xuefeng Liang, Kai Li, Hui Chen, Yanduo Zhang:
Face super-resolution via bilayer contextual representation. Signal Process. Image Commun. 75: 147-157 (2019) - [c25]Xuefeng Liang, Song Tong, Takatsune Kumada, Yuen Peng Loh:
Understanding the Photo-shooting Patterns of Sightseeing. DSIT 2019: 36-41 - [c24]Dou Quan, Xuefeng Liang, Shuang Wang, Shaowei Wei, Yanfeng Li, Ning Huyan, Licheng Jiao:
AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching. ICCV 2019: 3017-3026 - [c23]Shuang Wang, Yanfeng Li, Xuefeng Liang, Dou Quan, Bowu Yang, Shaowei Wei, Licheng Jiao:
Better and Faster: Exponential Loss for Image Patch Matching. ICCV 2019: 4811-4820 - [c22]Xuefeng Liang, Song Tong, Takatsune Kumada, Sunao Iwaki:
Golden Ratio: The Attributes of Facial Attractiveness Learned By CNN. ICIP 2019: 2124-2128 - [c21]Yang Liu, Xuefeng Liang, Song Tong, Takatsune Kumada:
Photo Shot-Type Disambiguation by Multi-Classifier Semi-Supervised Learning. ICIP 2019: 2466-2470 - [c20]Shuang Wang, Ligang Zhou, Pei He, Dou Quan, Qing Zhao, Xuefeng Liang, Biao Hou:
An Improved Fully Convolutional Network for Learning Rich Building Features. IGARSS 2019: 6444-6447 - 2018
- [j14]Bo Yue, Shuang Wang, Xuefeng Liang, Licheng Jiao:
An external learning assisted self-examples learning for image super-resolution. Neurocomputing 312: 107-119 (2018) - [j13]Shuang Wang, Bo Yue, Xuefeng Liang, Licheng Jiao:
How Does the Low-Rank Matrix Decomposition Help Internal and External Learnings for Super-Resolution. IEEE Trans. Image Process. 27(3): 1086-1099 (2018) - [c19]Dou Quan, Shuai Fang, Xuefeng Liang, Shuang Wang, Licheng Jiao:
Cross-Spectral Image Patch Matching by Learning Features of the Spatially Connected Patches in a Shared Space. ACCV (2) 2018: 115-130 - [c18]Dou Quan, Shuang Wang, Xuefeng Liang, Ruojing Wang, Shuai Fang, Biao Hou, Licheng Jiao:
Deep Generative Matching Network for Optical and SAR Image Registration. IGARSS 2018: 6215-6218 - 2017
- [j12]Bo Yue, Shuang Wang, Xuefeng Liang, Licheng Jiao:
Robust coupled dictionary learning with ℓ1-norm coefficients transition constraint for noisy image super-resolution. Signal Process. 140: 177-189 (2017) - [c17]Song Tong, Xuefeng Liang, Takatsune Kumada, Sunao Iwaki, Naoko Tosa:
Learning the Cultural Consistent Facial Aesthetics by Convolutional Neural Network. Culture Computing 2017: 97-103 - [c16]Yuen Peng Loh, Song Tong, Xuefeng Liang, Takatsune Kumada, Chee Seng Chan:
Understanding Scenery Quality: A Visual Attention Measure and Its Computational Model. ICCV Workshops 2017: 289-297 - [c15]Zhen Wang, Shuang Wang, Caijin Xu, Chengyuan Li, Bo Yue, Xuefeng Liang:
SAR images super-resolution via cartoon-texture image decomposition and jointly optimized regressors. IGARSS 2017: 1668-1671 - [i2]Xuefeng Liang, Lixin Fan, Yuen Peng Loh, Yang Liu, Song Tong:
Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data. CoRR abs/1709.07584 (2017) - 2016
- [j11]Bo Yue, Shuang Wang, Xuefeng Liang, Licheng Jiao, Caijin Xu:
Joint Prior Learning for Visual Sensor Network Noisy Image Super-Resolution. Sensors 16(3): 288 (2016) - [c14]Bo Yue, Shuang Wang, Xuefeng Liang, Licheng Jiao:
Robust Noisy Image Super-Resolution Using \ell _1 -norm Regularization and Non-local Constraint. ACCV Workshops (1) 2016: 34-49 - [c13]Song Tong, Yuen Peng Loh, Xuefeng Liang, Takatsune Kumada:
Visual attention inspired distant view and close-up view classification. ICIP 2016: 2787-2791 - [i1]Shuang Wang, Bo Yue, Xuefeng Liang, Peiyuan Ji, Licheng Jiao:
How does the Low-Rank Matrix Completion Help Internal and External Learnings for Super-Resolution. CoRR abs/1604.01497 (2016) - 2015
- [j10]Xuefeng Liang, Cuicui Zhang, Takashi Matsuyama:
A General Inlier Estimation for Moving Camera Motion Segmentation. IPSJ Trans. Comput. Vis. Appl. 7: 163-174 (2015) - [c12]Chenyi Zhuang, Qiang Ma, Xuefeng Liang, Masatoshi Yoshikawa:
Discovering Obscure Sightseeing Spots by Analysis of Geo-tagged Social Images. ASONAM 2015: 590-595 - [c11]Cuicui Zhang, Xuefeng Liang, Naixue Xiong:
Decision-Tree Based Hybrid Filter-Wrapping Method for the Fusion of Multiple Feature Sets. ICIG (2) 2015: 90-102 - [c10]Shuang Wang, Shaopeng Lin, Xuefeng Liang, Bo Yue, Licheng Jiao:
External and internal learning for single-image super-resolution. ICIP 2015: 128-132 - 2014
- [j9]Cuicui Zhang, Xuefeng Liang, Takashi Matsuyama:
Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks. Sensors 14(12): 23509-23538 (2014) - [c9]Xuefeng Liang, Cuicui Zhang, Takashi Matsuyama:
Inlier Estimation for Moving Camera Motion Segmentation. ACCV (4) 2014: 352-367 - [c8]Chenyi Zhuang, Qiang Ma, Xuefeng Liang, Masatoshi Yoshikawa:
Anaba: An obscure sightseeing spots discovering system. ICME 2014: 1-6 - 2013
- [j8]Cuicui Zhang, Xuefeng Liang, Takashi Matsuyama:
Mixed-motion Segmentation Using Helmholtz Decomposition. Inf. Media Technol. 8(4): 1046-1050 (2013) - [j7]Cuicui Zhang, Xuefeng Liang, Takashi Matsuyama:
Mixed-motion Segmentation Using Helmholtz Decomposition. IPSJ Trans. Comput. Vis. Appl. 5: 55-59 (2013) - [c7]Cuicui Zhang, Xuefeng Liang, Takashi Matsuyama:
Small sample size face recognition using Random Quad-Tree based ensemble algorithm. ICDP 2013: 1-6 - 2012
- [c6]Cuicui Zhang, Xuefeng Liang, Takashi Matsuyama:
Multi-subregion face recognition using coarse-to-fine Quad-tree decomposition. ICPR 2012: 1004-1007
2000 – 2009
- 2009
- [j6]Naixue Xiong, Laurence T. Yang, Jong Hyuk Park, Xuefeng Liang, Tai-Hoon Kim:
Towards a Performance-Based Resource Server Access Control in Future Grid Communication Environments. Wirel. Pers. Commun. 51(1): 209-220 (2009) - 2008
- [j5]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:
Visual Mark for Robot Manipulation and Its RT-Middleware Component. Adv. Robotics 22(6-7): 633-655 (2008) - [j4]Xuefeng Liang, Naixue Xiong, Laurence Tianruo Yang, Hui Zhang, Jong Hyuk Park:
A compensation scheme of fingerprint distortion using combined radial basis function model for ubiquitous services. Comput. Commun. 31(18): 4360-4366 (2008) - 2007
- [j3]Xuefeng Liang, Arijit Bishnu, Tetsuo Asano:
A Combinatorial Approach to Fingerprint Binarization and Minutiae Extraction Using Euclidean Distance Transform. Int. J. Pattern Recognit. Artif. Intell. 21(7): 1141-1158 (2007) - [j2]Xuefeng Liang, Arijit Bishnu, Tetsuo Asano:
A Robust Fingerprint Indexing Scheme Using Minutia Neighborhood Structure and Low-Order Delaunay Triangles. IEEE Trans. Inf. Forensics Secur. 2(4): 721-733 (2007) - 2006
- [j1]Xuefeng Liang, Tetsuo Asano:
A Linear Time Algorithm for Binary Fingerprint Image Denoising Using Distance Transform. IEICE Trans. Inf. Syst. 89-D(4): 1534-1542 (2006) - [c5]Xuefeng Liang, Tetsuo Asano, Hui Zhang:
A Combined Radial Basis Function Model for Fingerprint Distortion. ICIAR (2) 2006: 286-296 - [c4]Xuefeng Liang, Tetsuo Asano:
Fingerprint Matching Using Minutia Polygons. ICPR (1) 2006: 1046-1049 - [c3]Hui Zhang, Tu Bao Ho, Mao Song Lin, Xuefeng Liang:
Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients. ISNN (1) 2006: 1394-1399 - [c2]Xuefeng Liang, Tetsuo Asano, Arijit Bishnu:
Distorted Fingerprint Indexing Using Minutia Detail and Delaunay Triangle. ISVD 2006: 217-223 - 2004
- [c1]Xuefeng Liang, Arijit Bishnu, Tetsuo Asano:
A Near-Linear Time Algorithm for Binarization of Fingerprint Images Using Distance Transform. IWCIA 2004: 197-208
Coauthor Index
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