Xinling Yu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture	2024	Yiwei Peng Sean Hooten Xinling Yu Thomas Van Vaerenbergh Yuan Yuan Xian Xiao Bassem Tossoun Stanley Cheung Marco Fiorentino Raymond G. Beausoleil
+ PDF Chat	Separable Operator Networks	2024	Xinling Yu Sean Hooten Ziyue Liu Yequan Zhao Marco Fiorentino Thomas Van Vaerenbergh Zheng Zhang
+	Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training	2024	Yequan Zhao Xian Xian Xinling Yu Ziyue Liu Zhixiong Chen Géza Kurczveil Raymond G. Beausoleil Zheng Zhang
+ PDF Chat	DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design	2023	Ziyue Liu Yixing Li Jing Hu Xinling Yu Shinyu Shiau Xin Ai Zhiyu Zeng Zheng Zhang
+	PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks	2023	Xinling Yu José E. C. Serrallés Ilias I. Giannakopoulos Ziyue Liu Luca Daniel Riccardo Lattanzi Zheng Zhang
+	DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design	2023	Ziyue Liu Yixing Li Jing Hu Xinling Yu Shinyu Shiau Xin Ai Zhiyu Zeng Zheng Zhang
+	Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks	2023	Yequan Zhao Xinling Yu Zhixiong Chen Ziyue Liu Sijia Liu Zheng Zhang
+	TT-PINN: A Tensor-Compressed Neural PDE Solver for Edge Computing	2022	Ziyue Liu Xinling Yu Zheng Zhang
+	MR-Based Electrical Property Reconstruction Using Physics-Informed Neural Networks	2022	Xinling Yu José E. C. Serrallés Ilias I. Giannakopoulos Ziyue Liu Luca Daniel Riccardo Lattanzi Zheng Zhang
+	Compact perturbations of operators with property (<i>t</i>)	2021	Xinling Yu Weijuan Shi Guoxing Ji

Common Coauthors

Coauthor	Papers Together
Ziyue Liu	8
Zheng Zhang	5
Yequan Zhao	3
Riccardo Lattanzi	2
Thomas Van Vaerenbergh	2
Shinyu Shiau	2
Zhiyu Zeng	2
Marco Fiorentino	2
Luca Daniel	2
José E. C. Serrallés	2
Xin Ai	2
Zheng Zhang	2
Sean Hooten	2
Ilias I. Giannakopoulos	2
Yuan Yuan	1
Zheng Zhang	1
Zhixiong Chen	1
Jing Hu	1
Yixing Li	1
Raymond G. Beausoleil	1
Yixing Li	1
Jing Hu	1
Géza Kurczveil	1
Yiwei Peng	1
Weijuan Shi	1
Raymond G. Beausoleil	1
Xian Xian	1
Guoxing Ji	1
Stanley Cheung	1
Xian Xiao	1
Bassem Tossoun	1
Zhixiong Chen	1
Sijia Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Structure of Hilbert Space Operators	2006	Chunlan Jiang Zongyao Wang	1
+	Variations on Weyl's theorem	2006	Pietro Aiena Pedro Peña	1
+ PDF Chat	WEYL TYPE THEOREMS FOR FUNCTIONS OF OPERATORS	2012	Sen Zhu Chun Guang Li Ting Ting Zhou	1
+ PDF Chat	Weyl's theorem for nonnormal operators.	1966	L. A. Coburn	1
+	Properties (t) and (gt) for Bounded Linear Operators	2013	M. H. M. Rashid	1
+	Weyl’s Theorem for Functions of Operators and Approximation	2010	Chun Guang Li Sen Zhu You Ling Feng	1
+ PDF Chat	Another note on Weyl’s theorem	1997	Robin Harte Woo Lee	1
+	Weyl's theorem for the square of operator and perturbations	2014	Weijuan Shi Xiaohong Cao	1
+	A Note on the Property (gaR) and Perturbations	2017	Junhao Shen A. Chen	1
+	Weyl Type Theorems Under Compact Perturbations	2017	Boting Jia Youling Feng	1
+	Property (t) and perturbations	2018	Junli Shen Guoxing Ji	1
+ PDF Chat	Weyl's theorem and its perturbations for the functions of operators	2018	Xiaoh ng Cao Jiong Dong Jun ui Liu	1
+	On Weyl’s Theorem for Functions of Operators	2019	Jiong Dong Xiao Hong Cao Lei Dai	1
+	Property (R) Under Compact Perturbations	2020	Boting Jia Youling Feng	1
+	Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains	2020	Matthew Tancik Pratul P. Srinivasan Ben Mildenhall Sara Fridovich-Keil Nithin Raghavan Utkarsh Singhal Ravi Ramamoorthi Jonathan T. Barron Ren Ng	1
+	An unsupervised learning approach to solving heat equations on chip based on Auto Encoder and Image Gradient	2020	Haiyang He Jay Pathak	1
+	Property $$(\omega )$$ and its compact perturbations	2021	Lili Yang Xiaohong Cao	1
+ PDF Chat	NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework	2021	Oliver Hennigh Susheela Narasimhan Mohammad Amin Nabian Akshay Subramaniam Kaustubh Tangsali Z. Fang Max Rietmann Wonmin Byeon Sanjay Choudhry	1
+ PDF Chat	Learning the solution operator of parametric partial differential equations with physics-informed DeepONets	2021	Sifan Wang Hanwen Wang Paris Perdikaris	1
+ PDF Chat	A Thermal Machine Learning Solver For Chip Simulation	2022	Rishikesh Ranade Haiyang He Jay Pathak Norman Chang Akhilesh Kumar Jimin Wen	1
+ PDF Chat	MIONet: Learning Multiple-Input Operators via Tensor Product	2022	Pengzhan Jin Shuai Meng Lu Lu	1
+	Searching for Activation Functions	2017	Prajit Ramachandran Barret Zoph Quoc V. Le	1