Breaking through safety performance stagnation in autonomous vehicles with dense learning
S
Shuo Feng
(State Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science)
H
Haojie Zhu
(Engineering Research Center of Advanced Rare Earth Materials, Department of Chemistry)
H
Haowei Sun
X
Xintao Yan
L
Linxuan He
J
Jingxuan Yang
(Department of Medicine, The University of Oklahoma Health Sciences Center)
G
Guangzhen Su
B
Boqi Li
S
Shu Li
(Department of Infectious Diseases, State Key Laboratory of Virology and Biosafety, Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Zhongnan Hospital of Wuhan University, Taikang Center for Life and Medical Sciences, Wuhan University)
L
Ling Wang
S
Shengyin Shen
H
Henry X. Liu
Article Details
Journal
Nature Communications
Volume / Issue
Vol. 17, Issue 1
Published
February 25, 2026
ISSN
2041-1723
Publisher
Nature Portfolio
Authors (12)
S
Shuo Feng
State Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science
H
Haojie Zhu
Engineering Research Center of Advanced Rare Earth Materials, Department of Chemistry
H
Haowei Sun
X
Xintao Yan
L
Linxuan He
J
Jingxuan Yang
Department of Medicine, The University of Oklahoma Health Sciences Center
G
Guangzhen Su
B
Boqi Li
S
Shu Li
Department of Infectious Diseases, State Key Laboratory of Virology and Biosafety, Frontier Science Center for Immunology and Metabolism, Medical Research Institute, Zhongnan Hospital of Wuhan University, Taikang Center for Life and Medical Sciences, Wuhan University
L
Ling Wang
S
Shengyin Shen
H
Henry X. Liu
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