Author

Zhou, Kai

INSPIRE profile1393856 ORCID0000-0001-9859-1758

54 papers·2,097 citations in this corpus

	Paper	Category
Apr 13, 2026#42604.09198	Unified Extraction of In-Medium Heavy Quark Potentials from RHIC to LHC Energies via Deep Learning Jiamin Liu🇨🇳 · Kai Zhou🇨🇳 · Baoyi Chen🇨🇳	nucl-th	—	2
Mar 26, 2026#32603.24088	Deep learning approaches to extract nuclear deformation parameters from initial-state information in heavy-ion collisions Jun-Qi Tao🇨🇳 · Yang Liu🇨🇳 · Yu Sha🇨🇳 · Xiang Fan🇨🇳 · Yan-Sheng Tu🇨🇳 · Kai Zhou🇨🇳 · Hua Zheng🇨🇳 · Ben-Wei Zhang🇨🇳	nucl-th	—	0
Nov 18, 2025#52511.13163	A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC Jun-Qi Tao🇨🇳 · Xiang Fan🇨🇳 · Yang Liu🇨🇳 · Yu Sha🇨🇳 · Kai Zhou🇨🇳 · Hua Zheng🇨🇳 · Ben-Wei Zhang🇨🇳	nucl-th	PRC	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
Jun 11, 2025#62506.08104	Dense Matter in Neutron Stars with eXTP Ang Li🇨🇳 · Anna L. Watts🇳🇱 · Guobao Zhang🇨🇳 · Sebastien Guillot🇫🇷 · Yanjun Xu🇨🇳 · Andrea Santangelo🇩🇪 · Silvia Zane🇬🇧 · Hua Feng🇨🇳 · Shuang-Nan Zhang🇨🇳 · Mingyu Ge🇨🇳 · Liqiang Qi🇨🇳 · Tuomo Salmi🇫🇮 · Bas Dorsman🇳🇱 · Zhiqiang Miao🇨🇳 · Zhonghao Tu🇨🇳 · Yuri Cavecchi🇪🇸 · Xia Zhou🇨🇳 · Xiaoping Zheng🇨🇳 · Weihua Wang · Quan Cheng🇨🇳 · Xuezhi Liu🇨🇳 · Yining Wei🇨🇳 · Wei Wang🇨🇳 · Yujing Xu🇨🇳 · Shanshan Weng🇨🇳	↳ astro-ph.HE	SCPMA	48
Feb 28, 2025#72502.20226	Inferring the Equation of State from Neutron Star Observables via Machine Learning N. K. Patra🇨🇳 · Tuhin Malik🇵🇹 · Helena Pais🇵🇹 · Kai Zhou🇨🇳 · B. K. Agrawal🇮🇳 · Constança Providência🇵🇹	nucl-th	PLB	19
Feb 25, 2025#132502.16330	Ultra fast, event-by-event heavy-ion simulations for next generation experiments Manjunath Omana Kuttan🇩🇪 · Kai Zhou🇩🇪 · Jan Steinheimer🇩🇪 · Horst Stoecker🇩🇪	↳ hep-ph	PRC	6
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
Dec 16, 2024#102412.10352	Toward a foundation model for heavy-ion collision experiments based on point-cloud diffusion Manjunath Omana Kuttan🇩🇪 · Kai Zhou🇩🇪 · Jan Steinheimer🇩🇪 · Horst Stoecker🇩🇪	↳ hep-ph	PRC	8
Nov 14, 2023#82311.07274	Phase Transition Study meets Machine Learning Yu-Gang Ma🇨🇳 · Long-Gang Pang🇨🇳 · Rui Wang🇨🇳 · Kai Zhou🇩🇪	nucl-th	Chin.Phys.Lett.	57
May 18, 2023#22305.09937	Machine learning study to identify collective flow in small and large colliding systems Shuang Guo🇨🇳 · Han-Sheng Wang🇨🇳 · Kai Zhou🇩🇪 · Guo-Liang Ma🇨🇳	nucl-th	PRC	10
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
Mar 15, 2023#72303.07919	Model dependence of the number of participant nucleons and observable consequences in heavy-ion collisions Manjunath Omana Kuttan🇩🇪 · Jan Steinheimer🇩🇪 · Kai Zhou🇩🇪 · Marcus Bleicher🇩🇪 · Horst Stoecker🇩🇪	↳ hep-ph	EPJC	5
Mar 14, 2023#92303.06752	High energy nuclear physics meets Machine Learning Wan-Bing He🇨🇳 · Yu-Gang Ma🇨🇳 · Long-Gang Pang🇨🇳 · Huichao Song🇨🇳 · Kai Zhou🇩🇪	↳ hep-ph	Nucl.Sci.Tech.	105
Feb 14, 2023#12302.06179	Bottom energy loss and non-prompt $J / ψ$ production in relativistic heavy ion collisions Meimei Yang🇨🇳 · Shiqi Zheng🇺🇸 · Bo Tong🇨🇳 · Jiaxing Zhao🇫🇷 · Wenyuan Ouyang🇨🇳 · Kai Zhou🇩🇪 · Baoyi Chen🇨🇳	nucl-th	PRC	18
Jan 11, 2023#32301.03910	Examination of nucleon distribution with Bayesian imaging for isobar collisions Yi-Lin Cheng🇩🇪 · Shuzhe Shi🇨🇳 · Yu-Gang Ma🇨🇳 · Horst Stöcker🇩🇪 · Kai Zhou🇩🇪	nucl-th	PRC	20
Nov 22, 2022#82211.11670	QCD Equation of State of Dense Nuclear Matter from a Bayesian Analysis of Heavy-Ion Collision Data Manjunath Omana Kuttan🇩🇪 · Jan Steinheimer🇩🇪 · Kai Zhou🇩🇪 · Horst Stoecker🇩🇪	↳ hep-ph	PRL	65
Aug 5, 2022#72208.02297	Continuum-extrapolated NNLO Valence PDF of Pion at the Physical Point Xiang Gao🇺🇸 · Andrew D. Hanlon🇺🇸 · Nikhil Karthik🇺🇸 · Swagato Mukherjee🇺🇸 · Peter Petreczky🇺🇸 · Philipp Scior🇺🇸 · Shuzhe Shi🇺🇸 · Sergey Syritsyn🇺🇸 · Yong Zhao🇺🇸 · Kai Zhou🇩🇪	↳ hep-lat	PRD	77
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
Jul 26, 2021#22107.11012	Finding signatures of the nuclear symmetry energy in heavy-ion collisions with deep learning Yongjia Wang🇨🇳 · Fupeng Li🇨🇳 · Qingfeng Li🇨🇳 · Hongliang Lü🇨🇳 · Kai Zhou🇩🇪	nucl-th	PLB	24
Jul 13, 2021#142107.05590	An equation-of-state-meter for CBM using PointNet Manjunath Omana Kuttan🇩🇪 · Kai Zhou🇩🇪 · Jan Steinheimer🇩🇪 · Andreas Redelbach🇩🇪 · Horst Stoecker🇩🇪	↳ hep-ph	JHEP	32
Jul 5, 2021#32107.00656	Shared Data and Algorithms for Deep Learning in Fundamental Physics Lisa Benato · Erik Buhmann · Martin Erdmann · Peter Fackeldey · Jonas Glombitza · Nikolai Hartmann · Gregor Kasieczka · William Korcari · Thomas Kuhr · Jan Steinheimer · Horst Stöcker · Tilman Plehn · Kai Zhou	↳ cs.LG	Comput.Softw.Big Sci.	19

Unified Extraction of In-Medium Heavy Quark Potentials from RHIC to LHC Energies via Deep Learning
Jiamin Liu🇨🇳 · Kai Zhou🇨🇳 · Baoyi Chen🇨🇳
Apr 13, 2026#4nucl-th2 citations
Deep learning approaches to extract nuclear deformation parameters from initial-state information in heavy-ion collisions
Jun-Qi Tao🇨🇳 · Yang Liu🇨🇳 · Yu Sha🇨🇳 · Xiang Fan🇨🇳 · Yan-Sheng Tu🇨🇳 · Kai Zhou🇨🇳 · Hua Zheng🇨🇳 · Ben-Wei Zhang🇨🇳
Mar 26, 2026#3nucl-th0 citations
A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC
Jun-Qi Tao🇨🇳 · Xiang Fan🇨🇳 · Yang Liu🇨🇳 · Yu Sha🇨🇳 · Kai Zhou🇨🇳 · Hua Zheng🇨🇳 · Ben-Wei Zhang🇨🇳
Nov 18, 2025#5nucl-thPRC0 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
Dense Matter in Neutron Stars with eXTP
Ang Li🇨🇳 · Anna L. Watts🇳🇱 · Guobao Zhang🇨🇳 · Sebastien Guillot🇫🇷 · Yanjun Xu🇨🇳 · Andrea Santangelo🇩🇪 · Silvia Zane🇬🇧 · Hua Feng🇨🇳 · Shuang-Nan Zhang🇨🇳 · Mingyu Ge🇨🇳 · Liqiang Qi🇨🇳 · Tuomo Salmi🇫🇮 · Bas Dorsman🇳🇱 · Zhiqiang Miao🇨🇳 · Zhonghao Tu🇨🇳 · Yuri Cavecchi🇪🇸 · Xia Zhou🇨🇳 · Xiaoping Zheng🇨🇳 · Weihua Wang · Quan Cheng🇨🇳 · Xuezhi Liu🇨🇳 · Yining Wei🇨🇳 · Wei Wang🇨🇳 · Yujing Xu🇨🇳 · Shanshan Weng🇨🇳
Jun 11, 2025#6↳ astro-ph.HESCPMA48 citations
Inferring the Equation of State from Neutron Star Observables via Machine Learning
N. K. Patra🇨🇳 · Tuhin Malik🇵🇹 · Helena Pais🇵🇹 · Kai Zhou🇨🇳 · B. K. Agrawal🇮🇳 · Constança Providência🇵🇹
Feb 28, 2025#7nucl-thPLB19 citations
Ultra fast, event-by-event heavy-ion simulations for next generation experiments
Manjunath Omana Kuttan🇩🇪 · Kai Zhou🇩🇪 · Jan Steinheimer🇩🇪 · Horst Stoecker🇩🇪
Feb 25, 2025#13↳ hep-phPRC6 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
Toward a foundation model for heavy-ion collision experiments based on point-cloud diffusion
Manjunath Omana Kuttan🇩🇪 · Kai Zhou🇩🇪 · Jan Steinheimer🇩🇪 · Horst Stoecker🇩🇪
Dec 16, 2024#10↳ hep-phPRC8 citations
Phase Transition Study meets Machine Learning
Yu-Gang Ma🇨🇳 · Long-Gang Pang🇨🇳 · Rui Wang🇨🇳 · Kai Zhou🇩🇪
Nov 14, 2023#8nucl-thChin.Phys.Lett.57 citations
Machine learning study to identify collective flow in small and large colliding systems
Shuang Guo🇨🇳 · Han-Sheng Wang🇨🇳 · Kai Zhou🇩🇪 · Guo-Liang Ma🇨🇳
May 18, 2023#2nucl-thPRC10 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
Model dependence of the number of participant nucleons and observable consequences in heavy-ion collisions
Manjunath Omana Kuttan🇩🇪 · Jan Steinheimer🇩🇪 · Kai Zhou🇩🇪 · Marcus Bleicher🇩🇪 · Horst Stoecker🇩🇪
Mar 15, 2023#7↳ hep-phEPJC5 citations
High energy nuclear physics meets Machine Learning
Wan-Bing He🇨🇳 · Yu-Gang Ma🇨🇳 · Long-Gang Pang🇨🇳 · Huichao Song🇨🇳 · Kai Zhou🇩🇪
Mar 14, 2023#9↳ hep-phNucl.Sci.Tech.105 citations
Bottom energy loss and non-prompt $J / ψ$ production in relativistic heavy ion collisions
Meimei Yang🇨🇳 · Shiqi Zheng🇺🇸 · Bo Tong🇨🇳 · Jiaxing Zhao🇫🇷 · Wenyuan Ouyang🇨🇳 · Kai Zhou🇩🇪 · Baoyi Chen🇨🇳
Feb 14, 2023#1nucl-thPRC18 citations
Examination of nucleon distribution with Bayesian imaging for isobar collisions
Yi-Lin Cheng🇩🇪 · Shuzhe Shi🇨🇳 · Yu-Gang Ma🇨🇳 · Horst Stöcker🇩🇪 · Kai Zhou🇩🇪
Jan 11, 2023#3nucl-thPRC20 citations
QCD Equation of State of Dense Nuclear Matter from a Bayesian Analysis of Heavy-Ion Collision Data
Manjunath Omana Kuttan🇩🇪 · Jan Steinheimer🇩🇪 · Kai Zhou🇩🇪 · Horst Stoecker🇩🇪
Nov 22, 2022#8↳ hep-phPRL65 citations
Continuum-extrapolated NNLO Valence PDF of Pion at the Physical Point
Xiang Gao🇺🇸 · Andrew D. Hanlon🇺🇸 · Nikhil Karthik🇺🇸 · Swagato Mukherjee🇺🇸 · Peter Petreczky🇺🇸 · Philipp Scior🇺🇸 · Shuzhe Shi🇺🇸 · Sergey Syritsyn🇺🇸 · Yong Zhao🇺🇸 · Kai Zhou🇩🇪
Aug 5, 2022#7↳ hep-latPRD77 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
Finding signatures of the nuclear symmetry energy in heavy-ion collisions with deep learning
Yongjia Wang🇨🇳 · Fupeng Li🇨🇳 · Qingfeng Li🇨🇳 · Hongliang Lü🇨🇳 · Kai Zhou🇩🇪
Jul 26, 2021#2nucl-thPLB24 citations
An equation-of-state-meter for CBM using PointNet
Manjunath Omana Kuttan🇩🇪 · Kai Zhou🇩🇪 · Jan Steinheimer🇩🇪 · Andreas Redelbach🇩🇪 · Horst Stoecker🇩🇪
Jul 13, 2021#14↳ hep-phJHEP32 citations
Shared Data and Algorithms for Deep Learning in Fundamental Physics
Lisa Benato · Erik Buhmann · Martin Erdmann · Peter Fackeldey · Jonas Glombitza · Nikolai Hartmann · Gregor Kasieczka · William Korcari · Thomas Kuhr · Jan Steinheimer · Horst Stöcker · Tilman Plehn · Kai Zhou
Jul 5, 2021#3↳ cs.LGComput.Softw.Big Sci.19 citations

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