Noise and Illumination Invariant Road Detection Based on Vanishing Point. - Wei Luo 006; Heyou Chang; Jian Yang 003 (IScIDE, 2012)

Why does the unsupervised pretraining encourage moderate-sparseness? - Jun Li 027; Wei Luo 006; Jian Yang 003; Xiaotong Yuan (CoRR, 2013)

Region Tree Based Sparse Model for Optical Flow Estimation. - Wei Luo 006; Fanglong Zhang; Jian Yang 003; Jing-Yu Yang 001 (ICPR, 2014)

Locality-constrained group sparse coding regularized NMR for robust face recognition. - Hengmin Zhang; Wei Luo 006; Jian Yang 003; Lei Luo 001 (ACPR, 2015)

Facial landmark detection via pose-induced auto-encoder networks. - Yu Chen 037; Wei Luo 006; Jian Yang 003 (ICIP, 2015)

Learning Sparse Features in Convolutional Neural Networks for Image Classification. - Wei Luo 006; Jun Li 027; Wei Xu; Jian Yang 003 (IScIDE (1), 2015)

Higher-level feature combination via multiple kernel learning for image classification. - Wei Luo 006; Jian Yang 003; Wei Xu; Jun Li 027; Jian Zhang 025 (Neurocomputing, 2015)

Locality-Constrained Sparse Auto-Encoder for Image Classification. - Wei Luo 006; Jian Yang 003; Wei Xu; Tao Fu (IEEE Signal Process. Lett., 2015)

A News-Driven Recurrent Neural Network for Market Volatility Prediction. - Peikang Lin; Xianjie Mo; Guidong Lin; Liwen Ling; Tingting Wei; Wei Luo 006 (ACPR, 2017)

Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise. - Hengmin Zhang; Jian Yang 003; Jianjun Qian; Wei Luo 006 (Neurocomputing, 2017)

Sparseness Analysis in the Pretraining of Deep Neural Networks. - Jun Li 027; Tong Zhang 001; Wei Luo 006; Jian Yang 003; Xiao-Tong Yuan; Jian Zhang 025 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Visual Representation and Classification by Learning Group Sparse Deep Stacking Network. - Jun Li 027; Heyou Chang; Jian Yang 003; Wei Luo 006; Yun Fu 001 (IEEE Trans. Image Process., 2018)

Convolutional Sparse Autoencoders for Image Classification. - Wei Luo 006; Jun Li 027; Jian Yang 003; Wei Xu; Jian Zhang 025 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Label-Smooth Learning for Fine-Grained Visual Categorization. - Xianjie Mo; Tingting Wei; Hengmin Zhang; Qiong Huang; Wei Luo 006 (ACPR (1), 2019)

The Effectiveness of Noise in Data Augmentation for Fine-Grained Image Classification. - Nanyu Sun; Xianjie Mo; Tingting Wei; Dabin Zhang; Wei Luo 006 (ACPR (1), 2019)

Cross-X Learning for Fine-Grained Visual Categorization. - Wei Luo 006; Xitong Yang; Xianjie Mo; Yuheng Lu; Larry Davis 001; Jun Li 027; Jian Yang 003; Ser-Nam Lim (ICCV, 2019)

Cross-Category Cross-Semantic Regularization for Fine-Grained Image Recognition. - Yelin Chen; Xianjie Mo; Zijun Liang; Tingting Wei; Wei Luo 006 (PRCV (1), 2019)

Exploiting Category-Level Semantic Relationships for Fine-Grained Image Recognition. - Xianjie Mo; Jiajie Zhu; Xiaoxuan Zhao; Min Liu 019; Tingting Wei; Wei Luo 006 (PRCV (1), 2019)

Learning Semantically Enhanced Feature for Fine-Grained Image Classification. - Wei Luo 006; Hengmin Zhang; Jun Li 027; Xiu-Shen Wei (IEEE Signal Process. Lett., 2020)

Robust Recovery of Low Rank Matrix by Nonconvex Rank Regularization. - Hengmin Zhang; Wei Luo 006; Wenli Du; Jianjun Qian; Jian Yang 003; Bob Zhang 001 (ICIG (2), 2021)

Feature Transformation for Cross-domain Few-Shot Remote Sensing Scene Classification. - Qiaoling Chen; Zhihao Chen; Wei Luo 006 (ICPR Workshops (3), 2022)

Structural Subspace Learning for Few-shot Fine-grained Recognition. - Linjia Li; Jin Deng; Ying Huang; Yanyan Chen; Wei Luo 006 (ICMLC, 2024)

Visual-Semantic Alignment for Few-shot Remote Sensing Scene Classification. - Haojun Li; Linjia Li; Wei Luo 006 (ICMLC, 2024)

Task-aware Local Representation Mining Network for Few-shot Fine-grained Recognition. - Lihan Lin; Jin Deng; Ying Huang; Yanyan Chen; Wei Luo 006 (ICMLC, 2024)

Feature transformation and statistical calibration for cross-domain few-shot classification. - Jiafan Liu; Jin Deng; Jinrong Cui; Wei Luo 006 (Eng. Appl. Artif. Intell., 2025)