Riqiang Gao

73 papers A* 2B 14C 1Journal 43Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI End-to-End Radiation Treatment Planning Under One Second.
CoRR
Simon Arberet, Riqiang Gao, Martin Kraus, Florin C. Ghesu, Wilko Verbakel, Mamadou Diallo, Anthony Magliari, Venkatesan Karuppusamy, Sushil Beriwal, REQUITE Consortium, Ali Kamen, Dorin Comaniciu
2025 J jnl
A Beam's Eye View to Fluence Maps 3D Network for Ultra Fast VMAT Radiotherapy Planning.
CoRR
Simon Arberet, Florin C. Ghesu, Riqiang Gao, Martin Kraus, Jonathan Sackett, Esa Kuusela, Ali Kamen
2025 J jnl
AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT.
CoRR
Han Liu, Riqiang Gao, Sasa Grbic
2025 J jnl
Automating High Quality RT Planning at Scale.
CoRR
Riqiang Gao, Mamadou Diallo, Han Liu, Anthony Magliari, Jonathan Sackett, Wilko Verbakel, Sandra Meyers, Masoud Zarepisheh, Rafe McBeth, Simon Arberet, Martin Kraus, Florin C. Ghesu, Ali Kamen
2025 J jnl
Demo: Generative AI helps Radiotherapy Planning with User Preference.
CoRR
Riqiang Gao, Simon Arberet, Martin Kraus, Han Liu, Wilko Verbakel, Dorin Comaniciu, Florin-Cristian Ghesu, Ali Kamen
2025 — conf
PanDx: AI-Assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT.
AMAI@MICCAI
Han Liu, Riqiang Gao, Eileen Krieg, Sasa Grbic
2025 J jnl
Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification.
CoRR
Han Liu, Bogdan Georgescu, Yanbo Zhang, Youngjin Yoo, Michael Baumgartner, Riqiang Gao, Jianing Wang, Gengyan Zhao, Eli Gibson, Dorin Comaniciu, Sasa Grbic
2024 J jnl
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training.
IEEE Trans. Medical Imaging
Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic
2024 A* conf
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy.
ICML
Riqiang Gao, Florin-Cristian Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen
2024 J jnl
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy.
CoRR
Riqiang Gao, Florin C. Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen
2023 J jnl
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective.
Medical Image Anal.
Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2023 J jnl
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training.
CoRR
Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic
2023 J jnl
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization.
CoRR
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2023 A* conf
Flexible-C
CVPR
Riqiang Gao, Bin Lou, Zhoubing Xu, Dorin Comaniciu, Ali Kamen
2023 J jnl
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification.
CoRR
Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko
2023 — conf
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification.
MICCAI (2)
Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko
2023 B conf
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation.
Image Processing
Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2023 B conf
Stratification of lung cancer risk with thoracic imaging phenotypes.
Image Processing
Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2023 B conf
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.
Image Processing
Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
2023 J jnl
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal.
Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
2022 J jnl
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging.
CoRR
Riqiang Gao, Thomas Z. Li, Yucheng Tang, Zhoubing Xu, Michael N. Kammer, Sanja L. Antic, Kim L. Sandler, Fabien Maldonado, Thomas A. Lasko, Bennett A. Landman
2022 J jnl
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective.
CoRR
Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2022 J jnl
Characterizing Renal Structures with 3D Block Aggregate Transformers.
CoRR
Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman
2022 B conf
Extending the value of routine lung screening CT with quantitative body composition assessment.
Image Processing
Kaiwen Xu, Riqiang Gao, Yucheng Tang, Steve A. Deppen, Kim L. Sandler, Michael N. Kammer, Sanja L. Antic, Fabien Maldonado, Yuankai Huo, Mirza S. Khan, Bennett A. Landman
2022 — conf
Inpainting missing tissue in multiplexed immunofluorescence imaging.
Digital and Computational Pathology
Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Qi Yang, Xin Yu, Sophie Chiron, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
2022 J jnl
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation.
CoRR
Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022 J jnl
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation.
CoRR
Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, John Jeffrey Carr, Yuankai Huo, Bennett A. Landman
2022 — conf
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models.
MICCAI (8)
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022 J jnl
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models.
CoRR
Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman
2022 J jnl
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model.
Comput. Biol. Medicine
Riqiang Gao, Thomas Z. Li, Yucheng Tang, Kaiwen Xu, Mirza S. Khan, Michael N. Kammer, Sanja L. Antic, Stephen Deppen, Yuankai Huo, Thomas A. Lasko, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman
2022 J jnl
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.
CoRR
Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman
2022 J jnl
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation.
CoRR
Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang
2021 J jnl
Body Part Regression With Self-Supervision.
IEEE Trans. Medical Imaging
Yucheng Tang, Riqiang Gao, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman
2021 B conf
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk.
Image Processing
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman
2021 B conf
Development and characterization of a chest CT atlas.
Image Processing
Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman
2021 J jnl
High-resolution 3D abdominal segmentation with random patch network fusion.
Medical Image Anal.
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman
2021 — conf
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
MICCAI (5)
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman
2021 J jnl
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
CoRR
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman
2021 — conf
Pancreas CT Segmentation by Predictive Phenotyping.
MICCAI (1)
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman
2021 — conf
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging.
COMPAY@MICCAI
Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
2021 J jnl
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging.
CoRR
Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo
2021 B conf
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.
Image Processing
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Zhoubing Xu, Brent V. Savoie, Shunxing Bao, Yuankai Huo, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffrey M. Spraggins, Bennett A. Landman
2021 J jnl
Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT.
CoRR
Riqiang Gao, Mirza S. Khan, Yucheng Tang, Kaiwen Xu, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2020 — conf
Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort.
ISBI
Lingyan Hao, Shunxing Bao, Yucheng Tang, Riqiang Gao, Prasanna Parvathaneni, Jacob A. Miller, Willa Voorhies, Jewelia Yao, Silvia A. Bunge, Kevin S. Weiner, Bennett A. Landman, Ilwoo Lyu
2020 B conf
Contrast phase classification with a generative adversarial network.
Image Processing
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 J jnl
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk.
CoRR
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman
2020 B conf
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging.
Image Processing
Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2020 J jnl
Development and Characterization of a Chest CT Atlas.
CoRR
Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman
2020 J jnl
Inter-class angular margin loss for face recognition.
Signal Process. Image Commun.
Jingna Sun, Wenming Yang, Riqiang Gao, Jing-Hao Xue, Qingmin Liao
2020 B conf
Internal-transfer weighting of multi-task learning for lung cancer detection.
Image Processing
Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2020 J jnl
Multi-path x-D recurrent neural networks for collaborative image classification.
Neurocomputing
Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2020 J jnl
Outlier Guided Optimization of Abdominal Segmentation.
CoRR
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 B conf
Outlier guided optimization of abdominal segmentation.
Image Processing
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 — conf
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.
ML-CDS/CLIP@MICCAI
Yucheng Tang, Riqiang Gao, Ho Hin Lee, Quinn Stanton Wells, Ashley Spann, James G. Terry, John Jeffrey Carr, Yuankai Huo, Shunxing Bao, Bennett A. Landman
2020 — conf
Semi-supervised Machine Learning with MixMatch and Equivalence Classes.
iMIMIC/MIL3ID/LABELS@MICCAI
Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman
2020 B conf
Semi-supervised multi-organ segmentation through quality assurance supervision.
Image Processing
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 J jnl
Time-distanced gates in long short-term memory networks.
Medical Image Anal.
Riqiang Gao, Yucheng Tang, Kaiwen Xu, Yuankai Huo, Shunxing Bao, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2020 J jnl
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives.
CoRR
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2020 B conf
Validation and optimization of multi-organ segmentation on clinical imaging archives.
Image Processing
Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2019 J jnl
Contrast Phase Classification with a Generative Adversarial Network.
CoRR
Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2019 J jnl
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging.
CoRR
Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2019 — conf
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.
MLMI@MICCAI
Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2019 J jnl
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.
CoRR
Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2019 J jnl
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection.
CoRR
Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman
2019 J jnl
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics.
CoRR
Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja Antic, Travis Osterman, Pierre P. Massion, Bennett A. Landman
2019 B conf
Lung cancer detection using co-learning from chest CT images and clinical demographics.
Image Processing
Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman
2019 J jnl
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision.
CoRR
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
2018 J jnl
Discriminative Multidimensional Scaling for Low-Resolution Face Recognition.
IEEE Signal Process. Lett.
Fuwei Yang, Wenming Yang, Riqiang Gao, Qingmin Liao
2018 J jnl
Margin Loss: Making Faces More Separable.
IEEE Signal Process. Lett.
Riqiang Gao, Fuwei Yang, Wenming Yang, Qingmin Liao
2017 J jnl
Weighted Voting of Discriminative Regions for Face Recognition.
IEICE Trans. Inf. Syst.
Wenming Yang, Riqiang Gao, Qingmin Liao
2016 — conf
Dump Truck Recognition Based on SCPSR in Videos.
CCPR (2)
Wenming Yang, Xiaoling Hu, Riqiang Gao, Qingmin Liao
2016 C conf
Two-stage patch-based sparse multi-value descriptor for face recognition.
VCIP
Riqiang Gao, Wenming Yang, Xiaoling Hu, Qingmin Liao
2015 — conf
Locally Collaborative Representation in Similar Subspace for Face Recognition.
CCBR
Riqiang Gao, Wenming Yang, Xiang Sun, Hong Li, Qingmin Liao