2026 Jun Liu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	37	10711	10411	4475	4290	85	6207

Overview

Jun Liu is affiliated with Infinia ML in the United States and works primarily within the field of Engineering. Their research contributions span a wide range of engineering disciplines, with a strong emphasis on Computational Mechanics and Aerospace Engineering.

The subfields in which they have published include:

Computational Mechanics
Aerospace Engineering
Mechanical Engineering
Computer Vision and Pattern Recognition
Applied Mathematics

Their work covers several main topics including:

Computational Fluid Dynamics and Aerodynamics
Fluid Dynamics and Turbulent Flows
Gas Dynamics and Kinetic Theory
Rocket and propulsion systems research
Advanced Numerical Methods in Computational Mathematics
Advanced Aircraft Design and Technologies
Aerodynamics and Fluid Dynamics Research

Jun Liu has published in numerous venues, with frequent contributions to:

Aerospace Science and Technology
arXiv (Cornell University)
Chinese Journal of Aeronautics
Aerospace
Computers & Fluids

Notable recent papers authored or coauthored by Jun Liu include:

The role of energy storage systems in resilience enhancement of health care centers with critical loads, 2020, Journal of Energy Storage

Other significant publications in the extended dataset, while not authored by Jun Liu directly but appearing in the same research context, include:

Boundary-layer viscous correction method for hypersonic forebody/inlet integration, 2021, Acta Astronautica
Phase interface manipulation by adjusting atomic ordering in metal-organic framework to facilitate microwave absorption, 2023, Carbon
Hypersonic flow control of shock wave/turbulent boundary layer interactions using magnetohydrodynamic plasma actuators, 2020, Journal of Zhejiang University. Science A
Research status and development trend of air-breathing high-speed vehicle/engine integration, 2024, Aerospace Science and Technology

Frequent coauthors collaborating with Jun Liu include:

Huacheng Yuan
Shibin Luo
Yuhang Sun
Jiaqi Tian
Jiawen Song

Best Publications

Multi-task feature learning via efficient l 2, 1 -norm minimization

Jun Liu;Shuiwang Ji;Jieping Ye

712
Citations
Face liveness detection from a single image with sparse low rank bilinear discriminative model

Xiaoyang Tan;Yi Li;Jun Liu;Lin Jiang

662
Citations
SLEP: Sparse Learning with Efficient Projections

Jun Liu;Shuiwang Ji;Jieping Ye

544
Citations
Efficient Methods for Overlapping Group Lasso

Lei Yuan;Jun Liu;Jieping Ye

291
Citations
A multi-task learning formulation for predicting disease progression

Jiayu Zhou;Lei Yuan;Jun Liu;Jieping Ye

272
Citations
Making FLDA applicable to face recognition with one sample per person

Songcan Chen;Jun Liu;Zhi-Hua Zhou

243
Citations
Modeling disease progression via multi-task learning

Jiayu Zhou;Jun Liu;Vaibhav A. Narayan;Jieping Ye

239
Citations
Modeling disease progression via fused sparse group lasso

Jiayu Zhou;Jun Liu;Vaibhav A. Narayan;Jieping Ye

218
Citations
Large-scale sparse logistic regression

Jun Liu;Jianhui Chen;Jieping Ye

210
Citations
An efficient algorithm for a class of fused lasso problems

Jun Liu;Lei Yuan;Jieping Ye

205
Citations
Moreau-Yosida Regularization for Grouped Tree Structure Learning

Jun Liu;Jieping Ye

183
Citations
A convex formulation for learning shared structures from multiple tasks

Jianhui Chen;Lei Tang;Jun Liu;Jieping Ye

175
Citations
Efficient Euclidean projections in linear time

Jun Liu;Jieping Ye

170
Citations
Face Recognition Under Occlusions and Variant Expressions With Partial Similarity

Xiaoyang Tan;Songcan Chen;Zhi-Hua Zhou;Jun Liu

116
Citations
Sparse methods for biomedical data

Jieping Ye;Jun Liu

115
Citations
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data

Shuai Huang;Jing Li;Liang Sun;Jun Liu

96
Citations
Altered brain network modules induce helplessness in major depressive disorder

Daihui Peng;Feng Shi;Ting Shen;Ziwen Peng

94
Citations
Semi-random subspace method for face recognition

Yulian Zhu;Jun Liu;Songcan Chen

92
Citations
Sparse non-negative tensor factorization using columnwise coordinate descent

Ji Liu;Jun Liu;Peter Wonka;Jieping Ye

86
Citations
Safe Screening with Variational Inequalities and Its Application to Lasso

Jun Liu;Zheng Zhao;Jie Wang;Jieping Ye

75
Citations
A Safe Screening Rule for Sparse Logistic Regression

Jie Wang;Jiayu Zhou;Jun Liu;Peter Wonka

59
Citations
Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization

Jun Liu;Shuiwang Ji;Jieping Ye

35
Citations
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images

Kelei He;Wei Zhao;Xingzhi Xie;Wen Ji

10
Citations

Frequent Co-Authors

Jieping Ye Alibaba Group (China)

Songcan Chen Nanjing University of Aeronautics and Astronautics

Daoqiang Zhang Nanjing University of Aeronautics and Astronautics

Zhi-Hua Zhou Nanjing University

Dinggang Shen ShanghaiTech University

Jiayu Zhou Michigan State University

Andreas Rauber TU Wien

Shuiwang Ji Texas A&M University

Feng Shi United Imaging Intelligence (China)

Eric M. Reiman Arizona State University

External Links

Google Scholar page

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