Kai Zhou

29 papers A* 2Journal 26Unranked 1
YearRankTypeTitle / Venue / Authors
2026 — conf
Deep Hierarchical Knowledge Loss for Fault Intensity Diagnosis.
KDD (1)
Yu Sha, Shuiping Gou, Bo Liu, Haofan Lu, Ningtao Liu, Jiahui Fu, Horst Stoecker, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
2025 J jnl
Combining complex Langevin dynamics with score-based and energy-based diffusion models.
CoRR
Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou
2025 J jnl
Epidemiology-informed Spatiotemporal Graph Neural Network for heterogeneity-driven interpretable epidemic forecasting.
Eng. Appl. Artif. Intell.
Shuai Han, Lukas Stelz, Thomas R. Sokolowski, Kai Zhou, Horst Stöcker
2025 J jnl
Hierarchical knowledge guided fault intensity diagnosis of complex industrial systems.
CoRR
Yu Sha, Shuiping Gou, Bo Liu, Johannes Faber, Ningtao Liu, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
2025 J jnl
Hybrid multi-head physics-informed neural network for depth estimation in terahertz imaging.
Comput. Phys. Commun.
Mingjun Xiang, Hui Yuan, Kai Zhou, Hartmut G. Roskos
2025 J jnl
On learning higher-order cumulants in diffusion models.
Mach. Learn. Sci. Technol.
Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou
2025 J jnl
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting.
CoRR
Shuai Han, Lukas Stelz, Thomas R. Sokolowski, Kai Zhou, Horst Stöcker
2024 J jnl
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks.
J. Frankl. Inst.
Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou
2024 J jnl
Diffusion models learn distributions generated by complex Langevin dynamics.
CoRR
Diaa E. Habibi, Gert Aarts, Lingxiao Wang, Kai Zhou
2024 A* conf
Hierarchical Knowledge Guided Fault Intensity Diagnosis of Complex Industrial Systems.
KDD
Yu Sha, Shuiping Gou, Bo Liu, Johannes Faber, Ningtao Liu, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
2024 J jnl
Hierarchical cavitation intensity recognition using Sub-Master Transition Network-based acoustic signals in pipeline systems.
Expert Syst. Appl.
Shuiping Gou, Yu Sha, Bo Liu, Ningtao Liu, Johannes Faber, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
2024 J jnl
On learning higher-order cumulants in diffusion models.
CoRR
Gert Aarts, Diaa E. Habibi, Lingxiao Wang, Kai Zhou
2023 J jnl
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks.
CoRR
Shuai Han, Lukas Stelz, Horst Stoecker, Lingxiao Wang, Kai Zhou
2023 J jnl
Diffusion Models as Stochastic Quantization in Lattice Field Theory.
CoRR
Lingxiao Wang, Gert Aarts, Kai Zhou
2023 J jnl
Generative Diffusion Models for Lattice Field Theory.
CoRR
Lingxiao Wang, Gert Aarts, Kai Zhou
2023 J jnl
Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks.
CoRR
Chen Li, Alexander Kies, Kai Zhou, Markus Schlott, Omar El Sayed, Mariia Bilousova, Horst Stoecker
2023 J jnl
Rethinking the ill-posedness of the spectral function reconstruction - Why is it fundamentally hard and how Artificial Neural Networks can help.
Comput. Phys. Commun.
Shuzhe Shi, Lingxiao Wang, Kai Zhou
2022 J jnl
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals.
CoRR
Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
2022 J jnl
A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals.
Eng. Appl. Artif. Intell.
Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
2022 J jnl
An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering.
CoRR
Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stöcker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
2022 A* conf
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space.
KDD
Yu Sha, Shuiping Gou, Johannes Faber, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
2022 J jnl
Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space.
CoRR
Yu Sha, Johannes Faber, Shuiping Gou, Bo Liu, Wei Li, Stefan Schramm, Horst Stoecker, Thomas Steckenreiter, Domagoj Vnucec, Nadine Wetzstein, Andreas Widl, Kai Zhou
2022 J jnl
Shared Data and Algorithms for Deep Learning in Fundamental Physics.
Comput. Softw. Big Sci.
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
2021 J jnl
Automatic differentiation approach for reconstructing spectral functions with neural networks.
CoRR
Lingxiao Wang, Shuzhe Shi, Kai Zhou
2021 J jnl
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk.
Mach. Learn. Sci. Technol.
Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stöcker, Yin Jiang, Kai Zhou
2021 J jnl
Reconstructing spectral functions via automatic differentiation.
CoRR
Lingxiao Wang, Shuzhe Shi, Kai Zhou
2021 J jnl
Shared Data and Algorithms for Deep Learning in Fundamental Physics.
CoRR
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
2020 J jnl
Machine learning spatio-temporal epidemiological model to evaluate Germany-county-level COVID-19 risk.
CoRR
Lingxiao Wang, Tian Xu, Till Hannes Stoecker, Horst Stöcker, Yin Jiang, Kai Zhou
2016 J jnl
An EoS-meter of QCD transition from deep learning.
CoRR
Long-Gang Pang, Kai Zhou, Nan Su, Hannah Petersen, Horst Stöcker, Xin-Nian Wang