Tensor Locality Sensitive Discriminant Analysis and its Complexity. - Yantao Wei; Hong Li 009; Luoqing Li (Int. J. Wavelets Multiresolution Inf. Process., 2009)

Gabor-Based Tensor Local Discriminant Embedding and its Application on Palmprint Recognition. - Limin Cui; Yantao Wei; Yuan Yan Tang; Hong Li 009 (Int. J. Wavelets Multiresolution Inf. Process., 2010)

Instantaneous frequencies of simple waves and their application to sleep spindle detection. - Liming Zhang 002; Hong Li 009; Yantao Wei; Tao Qian 001 (SMC, 2011)

Object categorization based on hierarchical learning. - Tian Xia; Yuan Yan Tang; Yantao Wei; Hong Li 009; Luoqing Li (ICPR, 2012)

Similarity learning for object recognition based on derived kernel. - Hong Li 009; Yantao Wei; Luoqing Li; Yuan Yuan 001 (Neurocomputing, 2012)

Background suppression of small target image based on fast local reverse entropy operator. - He Deng; Yantao Wei; Ming-Wen Tong (IET Comput. Vis., 2013)

Hierarchical Sparse Method with Applications in Vision and speech Recognition. - Ramadhan Abdo Musleh Alsaidi; Hong Li 009; Yantao Wei; Rokan Khaji; Yuan Yan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2013)

Hierarchical Feature Extraction With Local Neural Response for Image Recognition. - Hong Li 009; Yantao Wei; Luoqing Li; C. L. Philip Chen (IEEE Trans. Cybern., 2013)

Sparse-based neural response for image classification. - Hong Li 009; Hongfeng Li; Yantao Wei; Yuan Yan Tang; Qiong Wang (Neurocomputing, 2014)

Hierarchical kernel-based rotation and scale invariant similarity. - Yuan Yan Tang; Tian Xia; Yantao Wei; Hong Li 009; Luoqing Li (Pattern Recognit., 2014)

A Local Contrast Method for Small Infrared Target Detection. - C. L. Philip Chen; Hong Li 009; Yantao Wei; Tian Xia; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2014)

Multi-view Latent Space Learning Based on Local Discriminant Embedding. - Yue Zhao; Xinge You; Yantao Wei; Shi Yin; Dacheng Tao; Yiu-ming Cheung (CCBD, 2016)

Stacked Tensor Subspace Learning for hyperspectral image classification. - Yantao Wei; Yicong Zhou (IJCNN, 2016)

Local one-dimensional embedding interpolation for hyperspectral image classification. - Yalong Song; Hong Li 009; Huizhen Li; Yantao Wei (SMC, 2016)

A Parzen window-based approach to detection of infrared dim target under sea-sky background. - He Deng; Huang Yao; Yantao Wei; Ji-Dong Chen (Int. J. Autom. Comput., 2016)

Small infrared target detection based on image patch ordering. - Yantao Wei; Xinge You; He Deng (Int. J. Wavelets Multiresolution Inf. Process., 2016)

Multiscale patch-based contrast measure for small infrared target detection. - Yantao Wei; Xinge You; Hong Li 009 (Pattern Recognit., 2016)

Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification. - Yicong Zhou; Yantao Wei (IEEE Trans. Cybern., 2016)

High School Statistical Graph Classification Using Hierarchical Model for Intelligent Mathematics Problem Solving. - Yantao Wei; Yafei Shi; Huang Yao; Gang Zhao 004; Qingtang Liu (PSIVT Workshops, 2017)

Spectral-Spatial Response for Hyperspectral Image Classification. - Yantao Wei; Yicong Zhou; Hong Li 009 (Remote. Sens., 2017)

A reliability estimation approach via Wiener degradation model with measurement errors. - Donghui Pan; Yantao Wei; Houzhang Fang; Wenzhi Yang (Appl. Math. Comput., 2018)

High-Boost-Based Multiscale Local Contrast Measure for Infrared Small Target Detection. - Yafei Shi; Yantao Wei; Huang Yao; Donghui Pan; Guangrun Xiao (IEEE Geosci. Remote. Sens. Lett., 2018)

Student Action Recognition Based on Multiple Features. - Fen Lei; Yantao Wei; Jiamin Hu; Huang Yao; Wei Deng; Ying Lu (iThings/GreenCom/CPSCom/SmartData, 2019)

Multiscale Principle of Relevant Information for Hyperspectral Image Classification. - Yantao Wei; Shujian Yu; José C. Príncipe (CoRR, 2019)

Student body gesture recognition based on Fisher broad learning system. - Yafei Shi; Yantao Wei; Donghui Pan; Wei Deng; Huang Yao; Tiantian Chen; Gang Zhao 004; Mingwen Tong; Qingtang Liu (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Concept drift detection and adaptation with hierarchical hypothesis testing. - Shujian Yu; Zubin Abraham; Heng Wang; Mohak Shah; Yantao Wei; José C. Príncipe (J. Frankl. Inst., 2019)

Review of Deep Learning-Based Personalized Learning Recommendation. - Ling Zhong; Yantao Wei; Huang Yao; Wei Deng; Zhifeng Wang 001; Mingwen Tong (IC4E, 2020)

Improved Local Covariance Matrix Representation for Hyperspectral Image Classification. - Xinyu Zhang 025; Yantao Wei; Huang Yao; Yicong Zhou (IGARSS, 2020)

Feature Correlation Residual Network for Fine-Grained Image Recognition. - Jiazhen Xu; Yantao Wei; Wei Deng (IEEE Access, 2020)

Depth-based human activity recognition via multi-level fused features and fast broad learning system. - Huang Yao; Mengting Yang; Tiantian Chen; Yantao Wei; Yu Zhang (Int. J. Distributed Sens. Networks, 2020)

Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification. - Zhijing Ye 001; Jiaqing Chen; Hong Li 009; Yantao Wei; Guangrun Xiao; Jón Atli Benediktsson (IEEE Trans. Geosci. Remote. Sens., 2020)

Multiple-Feature Latent Space Learning-Based Hyperspectral Image Classification. - Yue Zhao; Jiangtao Peng; Yantao Wei; Qinmu Peng; Yi Mou (IEEE Geosci. Remote. Sens. Lett., 2021)

Spatial-Aware Network for Hyperspectral Image Classification. - Yantao Wei; Yicong Zhou (Remote. Sens., 2021)

Locally Homogeneous Covariance Matrix Representation for Hyperspectral Image Classification. - Xinyu Zhang 025; Yantao Wei; Huang Yao; Zhijing Ye 001; Yicong Zhou; Yue Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hierarchical broad learning system for hyperspectral image classification. - Guangrun Xiao; Yantao Wei; Huang Yao; Wei Deng; Jiazhen Xu; Donghui Pan (IET Image Process., 2022)

Spectral-Spatial Classification of Hyperspectral Image Using Improved Functional Principal Component Analysis. - Feng Xue; Falong Tan; Zhijing Ye 001; Jiaqing Chen; Yantao Wei (IEEE Geosci. Remote. Sens. Lett., 2022)

Bimodal Learning Engagement Recognition from Videos in the Classroom. - Meijia Hu; Yantao Wei; Mengsiying Li; Huang Yao; Wei Deng; Mingwen Tong; Qingtang Liu (Sensors, 2022)

Local Correntropy Matrix Representation for Hyperspectral Image Classification. - Xinyu Zhang 025; Yantao Wei; Weijia Cao; Huang Yao; Jiangtao Peng; Yicong Zhou (IEEE Trans. Geosci. Remote. Sens., 2022)

ICAPD Framework and simAM-YOLOv8n for Student Cognitive Engagement Detection in Classroom. - Qi Xu; Yantao Wei; Jie Gao; Huang Yao; Qingtang Liu (IEEE Access, 2023)

PhysBench: A Benchmark Framework for Remote Physiological Sensing with New Dataset and Baseline. - Kegang Wang; Yantao Wei; Mingwen Tong; Jie Gao; Yi Tian; YuJian Ma; ZhongJin Zhao (CoRR, 2023)

Nonlocal Correntropy Matrix Representation for Hyperspectral Image Classification. - Guochao Zhang; Xueting Hu; Yantao Wei; Weijia Cao; Huang Yao; Xueyang Zhang; Keyi Song (IEEE Geosci. Remote. Sens. Lett., 2023)

Triple Contrastive Representation Learning for Hyperspectral Image Classification With Noisy Labels. - Xinyu Zhang 025; Shuyuan Yang 001; Zhixi Feng; Liangliang Song; Yantao Wei; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2023)

Semantic Correntropy Representation for Hyperspectral Image Classification. - Xinyu Zhang 025; Zhixi Feng; Shuyuan Yang 001; Yantao Wei; Liangliang Song; Lixia Yang; Licheng Jiao (IEEE Trans. Instrum. Meas., 2023)

Multiscale principle of relevant information for hyperspectral image classification. - Yantao Wei; Shujian Yu; Luis G. Sánchez Giraldo; José C. Príncipe (Mach. Learn., 2023)

Using Double-Layer Patch-Based Contrast for Infrared Small Target Detection. - Liping Liu; Yantao Wei; Yue Wang; Huang Yao; Di Chen (Remote. Sens., 2023)

A Temporal Normalization-Enhanced EfficientPhys for Learning Emotion Recognition. - Tao Hu; Yantao Wei; Qi Xu; Kai Yang (WI/IAT, 2024)

A Plug-and-Play Temporal Normalization Module for Robust Remote Photoplethysmography. - Kegang Wang; Jiankai Tang; Yantao Wei; Mingxuan Liu; Xin Liu; Yuntao Wang (CoRR, 2024)

Understanding the effect of video conferencing learning environments on students' engagement: The role of basic psychological needs. - Yafei Shi; Qi Cheng; Yantao Wei; Mingwen Tong; Huang Yao (J. Comput. Assist. Learn., 2024)

Occlusion Robust Cognitive Engagement Detection in Real-World Classroom. - Guangrun Xiao; Qi Xu; Yantao Wei; Huang Yao; Qingtang Liu (Sensors, 2024)

Trusted Multimodal Socio-Cyber Sentiment Analysis Based on Disentangled Hierarchical Representation Learning. - Guoxia Xu; Lizhen Deng; Yansheng Li 001; Yantao Wei; Xiaokang Zhou; Hu Zhu (IEEE Trans. Comput. Soc. Syst., 2024)

A two-stage health prognostics with spatiotemporal feature representation and uncertainty quantification for bearings. - Donghui Pan; Yongkang Liu; Yantao Wei; Yongbin Liu (Expert Syst. Appl., 2025)