Author

Wang, Lingxiao

INSPIRE profile1645466 ORCID0000-0003-3757-3403

16 papers·454 citations in this corpus

	Paper	Category
Jun 23, 2026#162606.23353	Ultra-Peripheral Collisions as a Nuclear-Structure Interferometer with Interpretable Multitask Deep Learning Jing-Zong Zhang🇨🇳 · Wang-Mei Zha🇨🇳 · Lingxiao Wang🇯🇵 · Guo-Liang Ma🇨🇳	nucl-th	—	0
Jul 9, 2025#32507.05808	Neural Unfolding of the Chiral Magnetic Effect in Heavy-Ion Collisions Shuang Guo🇨🇳 · Lingxiao Wang🇯🇵 · Kai Zhou🇨🇳 · Guo-Liang Ma🇨🇳	nucl-th	Chin.Phys.Lett.	4
Jan 28, 2025#82501.15810	Towards constraining QCD phase transitions in neutron star interiors: Bayesian Inference with TOV linear response analysis Ronghao Li🇨🇳 · Sophia Han🇨🇳 · Zidu Lin🇺🇸 · Lingxiao Wang🇯🇵 · Kai Zhou🇨🇳 · Shuzhe Shi🇨🇳	nucl-th	PRD	18
Jan 14, 2025#42501.05580	Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Gert Aarts🇬🇧 · Kenji Fukushima🇯🇵 · Tetsuo Hatsuda🇯🇵 · Andreas Ipp🇦🇹 · Shuzhe Shi🇨🇳 · Lingxiao Wang🇯🇵 · Kai Zhou🇨🇳	↳ hep-lat	Nature Rev.Phys.	53
Jan 3, 2025#42501.00374	Deep learning for exploring hadron-hadron interactions Lingxiao Wang🇯🇵	nucl-th	J.Subatomic Part.Cosmol.	5
Nov 26, 2024#82411.16343	Learning Hadron Emitting Sources with Deep Neural Networks Lingxiao Wang🇯🇵 · Jiaxing Zhao🇩🇪	nucl-th	Commun.Phys.	13
Mar 28, 2023#172303.15136	Exploring QCD matter in extreme conditions with Machine Learning Kai Zhou🇩🇪 · Lingxiao Wang🇩🇪 · Long-Gang Pang🇨🇳 · Shuzhe Shi🇺🇸	↳ hep-ph	PPNP	121
Jan 10, 2022#72201.02564	Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help Shuzhe Shi🇨🇦 · Lingxiao Wang🇩🇪 · Kai Zhou🇩🇪	↳ hep-ph	Comput.Phys.Commun.	37
Jan 6, 2022#82201.01756	Neural network reconstruction of the dense matter equation of state from neutron star observables Shriya Soma🇩🇪 · Lingxiao Wang🇩🇪 · Shuzhe Shi🇨🇦 · Horst Stöcker🇩🇪 · Kai Zhou🇩🇪	↳ hep-ph	JCAP	57
Aug 10, 2021#72108.03987	Learning Langevin dynamics with QCD phase transition Lingxiao Wang🇩🇪 · Lijia Jiang🇩🇪 · Kai Zhou🇩🇪	nucl-th	EPJ Web Conf.	2
May 31, 2021#52105.13761	Detecting Chiral Magnetic Effect via Deep Learning Yuan-Sheng Zhao🇨🇳 · Lingxiao Wang🇩🇪 · Kai Zhou🇩🇪 · Xu-Guang Huang🇨🇳	↳ hep-ph	PRC	25
Mar 9, 2021#12103.04090	Deep learning stochastic processes with QCD phase transition Lijia Jiang🇩🇪 · Lingxiao Wang🇩🇪 · Kai Zhou🇩🇪	nucl-th	PRD	34
Jan 16, 2019#41901.04697	Chiral vortices and pseudoscalar condensation due to rotation Lingxiao Wang🇨🇳 · Yin Jiang🇨🇳 · Lianyi He🇨🇳 · Pengfei Zhuang🇨🇳	nucl-th	PRD	22
Jan 4, 2019#21901.00804	Local suppression and enhancement of pairing condensate under rotation Lingxiao Wang🇨🇳 · Yin Jiang🇨🇳 · Lianyi He🇨🇳 · Pengfei Zhuang🇨🇳	nucl-th	PRC	29
Jan 8, 2018#81801.01682	Nambu--Jona-Lasinio model in a parallel electromagnetic field Lingxiao Wang🇨🇳 · Gaoqing Cao🇨🇳 · Xu-Guang Huang🇨🇳 · Pengfei Zhuang🇨🇳	nucl-th	PLB	20
Dec 29, 2017#51712.09780	Competition between magnetic catalysis effect and chiral rotation effect Lingxiao Wang🇨🇳 · Gaoqing Cao🇨🇳	nucl-th	PRD	14

Ultra-Peripheral Collisions as a Nuclear-Structure Interferometer with Interpretable Multitask Deep Learning
Jing-Zong Zhang🇨🇳 · Wang-Mei Zha🇨🇳 · Lingxiao Wang🇯🇵 · Guo-Liang Ma🇨🇳
Jun 23, 2026#16nucl-th0 citations
Neural Unfolding of the Chiral Magnetic Effect in Heavy-Ion Collisions
Shuang Guo🇨🇳 · Lingxiao Wang🇯🇵 · Kai Zhou🇨🇳 · Guo-Liang Ma🇨🇳
Jul 9, 2025#3nucl-thChin.Phys.Lett.4 citations
Towards constraining QCD phase transitions in neutron star interiors: Bayesian Inference with TOV linear response analysis
Ronghao Li🇨🇳 · Sophia Han🇨🇳 · Zidu Lin🇺🇸 · Lingxiao Wang🇯🇵 · Kai Zhou🇨🇳 · Shuzhe Shi🇨🇳
Jan 28, 2025#8nucl-thPRD18 citations
Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics
Gert Aarts🇬🇧 · Kenji Fukushima🇯🇵 · Tetsuo Hatsuda🇯🇵 · Andreas Ipp🇦🇹 · Shuzhe Shi🇨🇳 · Lingxiao Wang🇯🇵 · Kai Zhou🇨🇳
Jan 14, 2025#4↳ hep-latNature Rev.Phys.53 citations
Deep learning for exploring hadron-hadron interactions
Lingxiao Wang🇯🇵
Jan 3, 2025#4nucl-thJ.Subatomic Part.Cosmol.5 citations
Learning Hadron Emitting Sources with Deep Neural Networks
Lingxiao Wang🇯🇵 · Jiaxing Zhao🇩🇪
Nov 26, 2024#8nucl-thCommun.Phys.13 citations
Exploring QCD matter in extreme conditions with Machine Learning
Kai Zhou🇩🇪 · Lingxiao Wang🇩🇪 · Long-Gang Pang🇨🇳 · Shuzhe Shi🇺🇸
Mar 28, 2023#17↳ hep-phPPNP121 citations
Rethinking the ill-posedness of the spectral function reconstruction -- why is it fundamentally hard and how Artificial Neural Networks can help
Shuzhe Shi🇨🇦 · Lingxiao Wang🇩🇪 · Kai Zhou🇩🇪
Jan 10, 2022#7↳ hep-phComput.Phys.Commun.37 citations
Neural network reconstruction of the dense matter equation of state from neutron star observables
Shriya Soma🇩🇪 · Lingxiao Wang🇩🇪 · Shuzhe Shi🇨🇦 · Horst Stöcker🇩🇪 · Kai Zhou🇩🇪
Jan 6, 2022#8↳ hep-phJCAP57 citations
Learning Langevin dynamics with QCD phase transition
Lingxiao Wang🇩🇪 · Lijia Jiang🇩🇪 · Kai Zhou🇩🇪
Aug 10, 2021#7nucl-thEPJ Web Conf.2 citations
Detecting Chiral Magnetic Effect via Deep Learning
Yuan-Sheng Zhao🇨🇳 · Lingxiao Wang🇩🇪 · Kai Zhou🇩🇪 · Xu-Guang Huang🇨🇳
May 31, 2021#5↳ hep-phPRC25 citations
Deep learning stochastic processes with QCD phase transition
Lijia Jiang🇩🇪 · Lingxiao Wang🇩🇪 · Kai Zhou🇩🇪
Mar 9, 2021#1nucl-thPRD34 citations
Chiral vortices and pseudoscalar condensation due to rotation
Lingxiao Wang🇨🇳 · Yin Jiang🇨🇳 · Lianyi He🇨🇳 · Pengfei Zhuang🇨🇳
Jan 16, 2019#4nucl-thPRD22 citations
Local suppression and enhancement of pairing condensate under rotation
Lingxiao Wang🇨🇳 · Yin Jiang🇨🇳 · Lianyi He🇨🇳 · Pengfei Zhuang🇨🇳
Jan 4, 2019#2nucl-thPRC29 citations
Nambu--Jona-Lasinio model in a parallel electromagnetic field
Lingxiao Wang🇨🇳 · Gaoqing Cao🇨🇳 · Xu-Guang Huang🇨🇳 · Pengfei Zhuang🇨🇳
Jan 8, 2018#8nucl-thPLB20 citations
Competition between magnetic catalysis effect and chiral rotation effect
Lingxiao Wang🇨🇳 · Gaoqing Cao🇨🇳
Dec 29, 2017#5nucl-thPRD14 citations

Showing 1–16 of 16·25 / 50 / 100per page

Page 1 of 1

Shows only papers in the locally ingested corpus, matched through the INSPIRE author identity. This may not match the author's full publication record.