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ORCIDKai Zhou 0017
Person information
Other persons with the same name
- Kai Zhou — disambiguation page
- Kai Zhou 0001
![[0000-0003-1383-2765]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1383-2765")
— Hong Kong Polytechnic University, Department of Computing, Hong Kong (and 2 more) - Kai Zhou 0002 — Zhejiang University of Technology, Hangzhou, China
- Kai Zhou 0003 — Vienna University of Technology, Automation and Control Institute, Austria
- Kai Zhou 0004
- Kai Zhou 0005
- Kai Zhou 0006
- Kai Zhou 0007
- Kai Zhou 0008
- Kai Zhou 0009
- Kai Zhou 0010
- Kai Zhou 0011
- Kai Zhou 0012
- Kai Zhou 0013
- Kai Zhou 0014
- Kai Zhou 0015
- Kai Zhou 0016
- Kai Zhou 0018
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Journal Articles
- 2025
[j8]Mingjun Xiang, Hui Yuan, Kai Zhou, Hartmut G. Roskos:
Hybrid multi-head physics-informed neural network for depth estimation in terahertz imaging. Comput. Phys. Commun. 312: 109586 (2025)- [j7]Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou:
On learning higher-order cumulants in diffusion models. Mach. Learn. Sci. Technol. 6(2): 25004 (2025) - 2024
- [j6]Shuiping Gou, Yu Sha, Bo Liu, Ningtao Liu, Johannes Faber, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Hierarchical cavitation intensity recognition using Sub-Master Transition Network-based acoustic signals in pipeline systems. Expert Syst. Appl. 258: 125155 (2024) - [j5]Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou:
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. J. Frankl. Inst. 361(6): 106671 (2024) - 2023
- [j4]Shuzhe Shi, Lingxiao Wang, Kai Zhou:
Rethinking the ill-posedness of the spectral function reconstruction - Why is it fundamentally hard and how Artificial Neural Networks can help. Comput. Phys. Commun. 282: 108547 (2023) - 2022
- [j3]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:
Shared Data and Algorithms for Deep Learning in Fundamental Physics. Comput. Softw. Big Sci. 6(1) (2022) - [j2]Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals. Eng. Appl. Artif. Intell. 113: 104904 (2022) - 2021
- [j1]Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stöcker, Yin Jiang, Kai Zhou:
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk. Mach. Learn. Sci. Technol. 2(3): 35031 (2021)
Conference and Workshop Papers
- 2024
- [c2]Yu Sha, Shuiping Gou, Bo Liu, Johannes Faber, Ningtao Liu, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems. KDD 2024: 5657-5668 - 2022
- [c1]Yu Sha, Shuiping Gou, Johannes Faber, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space. KDD 2022: 3858-3868
Data and Artifacts
- 2024
- [d2]Diaa Eddin Habibi, Gert Aarts, Lingxiao Wang, Kai Zhou:
DiaaEddinH/On-learning-higher-order-cumulants-in-diffusion-models: v1.0.1. Version v1.0.1. Zenodo, 2024 [all versions]
- [d1]Diaa E. Habibi, Gert Aarts, Lingxiao Wang, Kai Zhou:
DiaaEddinH/On-learning-higher-order-cumulants-in-diffusion-models: v1.0.2. Version v1.0.2. Zenodo, 2024 [all versions]
Informal and Other Publications
- 2025
- [i16]Shuai Han, Lukas Stelz, Thomas R. Sokolowski, Kai Zhou, Horst Stöcker:
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting. CoRR abs/2504.05140 (2025) - [i15]Yu Sha, Shuiping Gou, Bo Liu, Johannes Faber, Ningtao Liu, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Hierarchical knowledge guided fault intensity diagnosis of complex industrial systems. CoRR abs/2508.12375 (2025) - 2024
- [i14]Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou:
On learning higher-order cumulants in diffusion models. CoRR abs/2410.21212 (2024) - [i13]Diaa E. Habibi, Gert Aarts, Lingxiao Wang, Kai Zhou:
Diffusion models learn distributions generated by complex Langevin dynamics. CoRR abs/2412.01919 (2024) - 2023
- [i12]Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou:
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. CoRR abs/2302.08796 (2023) - [i11]Lingxiao Wang, Gert Aarts, Kai Zhou:
Diffusion Models as Stochastic Quantization in Lattice Field Theory. CoRR abs/2309.17082 (2023) - [i10]Lingxiao Wang, Gert Aarts, Kai Zhou:
Generative Diffusion Models for Lattice Field Theory. CoRR abs/2311.03578 (2023) - [i9]Chen Li, Alexander Kies, Kai Zhou, Markus Schlott, Omar El Sayed, Mariia Bilousova, Horst Stoecker:
Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks. CoRR abs/2311.13949 (2023) - 2022
- [i8]Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stöcker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering. CoRR abs/2202.13226 (2022) - [i7]Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space. CoRR abs/2202.13245 (2022) - [i6]Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou:
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals. CoRR abs/2203.01118 (2022) - 2021
- [i5]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:
Shared Data and Algorithms for Deep Learning in Fundamental Physics. CoRR abs/2107.00656 (2021) - [i4]Lingxiao Wang, Shuzhe Shi, Kai Zhou:
Reconstructing spectral functions via automatic differentiation. CoRR abs/2111.14760 (2021) - [i3]Lingxiao Wang, Shuzhe Shi, Kai Zhou:
Automatic differentiation approach for reconstructing spectral functions with neural networks. CoRR abs/2112.06206 (2021) - 2020
- [i2]Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stöcker, Yin Jiang, Kai Zhou:
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk. CoRR abs/2012.00082 (2020) - 2016
- [i1]Long-Gang Pang, Kai Zhou, Nan Su, Hannah Petersen, Horst Stöcker, Xin-Nian Wang:
An EoS-meter of QCD transition from deep learning. CoRR abs/1612.04262 (2016)
Coauthor Index
aka: Horst Stoecker
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