Ye Yuan

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All published works

Action	Title	Year	Authors
+ PDF Chat	COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation	2024	Jiefeng Li Ye Yuan Davis Rempe Haotian Zhang Pavlo Molchanov Cewu Lu Jan Kautz Umar Iqbal
+ PDF Chat	Image Segmentation in Foundation Model Era: A Survey	2024	Tianfei Zhou Fei Zhang Boyu Chang Wenguan Wang Ye Yuan Ender Konukoğlu Daniel Cremers
+ PDF Chat	Retrieval-Augmented Generation for Natural Language Processing: A Survey	2024	Shangyu Wu Ying Xiong Yufei Cui Haolun Wu Can Chen Ye Yuan Lianming Huang Xue Liu Tei‐Wei Kuo Nan Guan
+ PDF Chat	A Sampling Theorem for Exact Identification of Continuous-Time Nonlinear Dynamical Systems	2024	Zhexuan Zeng Zuogong Yue Alexandre Mauroy Jorge Gonçalves Ye Yuan
+ PDF Chat	A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator	2024	Zhexuan Zeng Jun Liu Ye Yuan
+	Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation	2023	Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang
+ PDF Chat	A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems	2022	Zhexuan Zeng Zuogong Yue Alexandre Mauroy Jorge Gonçalves Ye Yuan
+ PDF Chat	Inverse Power Flow Problem	2022	Ye Yuan Steven H. Low Omid Ardakanian Claire J. Tomlin
+	Invariance-informed reduced-order sparse modeling of partial differential equations with DCA-ℓ<sub>1−2</sub> algorithm	2022	Yi Li Xiuting Li Zuogong Yue Ye Yuan
+ PDF Chat	BoostTree and BoostForest for Ensemble Learning	2022	Changming Zhao Dongrui Wu Jian Huang Ye Yuan Hai‐Tao Zhang Ruimin Peng Zhenhua Shi
+	DeFed: A Principled Decentralized and Privacy-Preserving Federated Learning Algorithm.	2021	Ye Yuan Ruijuan Chen Chuan Sun Maolin Wang Feng Hua Xinlei Yi Tao Yang Jun Liu
+	BoostTree and BoostForest for Ensemble Learning	2021	Changming Zhao Dongrui Wu Jian Huang Ye Yuan Hai‐Tao Zhang Ruimin Peng Zhenhua Shi Chenfeng Guo
+	Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis	2021	Zeyuan Yin Ye Yuan Panfeng Guo Pan Zhou
+	Constrained Nonlinear Programming Problems (NLP)	2020	Vassilios S. Vassiliadis Ehecatl Antonio del Rio‐Chanona Ye Yuan
+	Unconstrained Multivariate Gradient-Based Minimization	2020	Vassilios S. Vassiliadis Ehecatl Antonio del Rio‐Chanona Ye Yuan
+	Optimization under Uncertainty	2020	Vassilios S. Vassiliadis Ehecatl Antonio del Rio‐Chanona Ye Yuan
+	Interior Point Methods (IPM’s):A Detailed Analysis	2020	Vassilios S. Vassiliadis Ehecatl Antonio del Rio‐Chanona Ye Yuan
+ PDF Chat	A Full Bayesian Approach to Sparse Network Inference Using Heterogeneous Datasets	2020	Junyang Jin Ye Yuan Jorge Gonçalves
+ PDF Chat	Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data	2020	Cheng Cheng Beitong Zhou Guijun Ma Dongrui Wu Ye Yuan
+ PDF Chat	High precision variational Bayesian inference of sparse linear networks	2020	Junyang Jin Ye Yuan Jorge Gonçalves
+ PDF Chat	A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings	2020	Cheng Cheng Guijun Ma Yong Zhang Mingyang Sun Fei Teng Han Ding Ye Yuan
+	Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network	2020	Yanglan Ou Yuan Xue Ye Yuan Tao Xu Vincent Pisztora Jia Li Xiaolei Huang
+ PDF Chat	Optimize TSK Fuzzy Systems for Regression Problems: Minibatch Gradient Descent With Regularization, DropRule, and AdaBound (MBGD-RDA)	2019	Dongrui Wu Ye Yuan Jian Huang Yihua Tan
+ PDF Chat	A general end-to-end diagnosis framework for manufacturing systems	2019	Ye Yuan Guijun Ma Cheng Cheng Beitong Zhou Huan Zhao Hai‐Tao Zhang Han Ding
+ PDF Chat	Data driven discovery of cyber physical systems	2019	Ye Yuan Xiuchuan Tang Wei Zhou Wei Pan Xiuting Li Hai‐Tao Zhang Han Ding Jorge Gonçalves
+ PDF Chat	On the Powerball Method: Variants of Descent Methods for Accelerated Optimization	2019	Ye Yuan Mu Li Jun Liu Claire J. Tomlin
+ PDF Chat	Link prediction via linear optimization	2019	Ratha Pech Dong Hao Yan-Li Lee Ye Yuan Tao Zhou
+	A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series.	2019	Wenqian Jiang Cheng Cheng Beitong Zhou Guijun Ma Ye Yuan
+	Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis.	2019	Cheng Cheng Beitong Zhou Guijun Ma Dongrui Wu Ye Yuan
+ PDF Chat	Artificial Intelligent Diagnosis and Monitoring in Manufacturing.	2019	Ye Yuan Guijun Ma Cheng Cheng Beitong Zhou Huan Zhao Haitao Zhang Han Ding
+ PDF Chat	On Identification of Distribution Grids	2019	Omid Ardakanian Vincent W. S. Wong Roel Dobbe Steven H. Low Alexandra von Meier Claire J. Tomlin Ye Yuan
+	A Full Bayesian Approach to Sparse Network Inference using Heterogeneous Datasets	2019	Junyang Jin Ye Yuan Jorge Gonçalves
+	High Precision Variational Bayesian Inference of Sparse Linear Networks	2019	Junyang Jin Ye Yuan Jorge Gonçalves
+	Machine Discovery of Partial Differential Equations from Spatiotemporal Data	2019	Ye Yuan Junlin Li L. Li Frank Jiang Xiuchuan Tang Fumin Zhang Sheng Liu Jorge Gonçalves Henning U. Voss Xiuting Li
+ PDF Chat	Ultrafast synchronization via local observation	2018	Hai‐Tao Zhang Ming-Can Fan Yue Wu Jianxi Gao H. Eugene Stanley Tao Zhou Ye Yuan
+ PDF Chat	Blind identification of fully observed linear time-varying systems via sparse recovery	2018	Roel Dobbe Stephan Liu Ye Yuan Claire J. Tomlin
+	Blind Identification of Fully Observed Linear Time-Varying Systems via Sparse Recovery.	2017	Roel Dobbe Stephan Liu Ye Yuan Claire J. Tomlin
+ PDF Chat	Event detection and localization in distribution grids with phasor measurement units	2017	Omid Ardakanian Ye Yuan Roel Dobbe Alexandra von Meier Steven H. Low Claire J. Tomlin
+	On the powerball method	2017	Ye Yuan Mu Li Claire J. Tomlin
+	Inverse Power Flow Problem	2016	Ye Yuan Steven H. Low Omid Ardakanian Claire J. Tomlin
+	On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach.	2016	Junyang Jin Wei Pan Duong L. T. Pham Ye Yuan Claire J. Tomlin Alex Webb Jorge Gonçalves
+	On the Powerball Method	2016	Ye Yuan Mu Li Claire J. Tomlin
+ PDF Chat	On the Powerball Method for Optimization	2016	Ye Yuan Mu Li Jun Liu Claire J. Tomlin
+	On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach	2016	Junyang Jin Ye Yuan Wei Pan Duong L. T. Pham Claire J. Tomlin Alex Webb Jorge Gonçalves
+	Systems Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies	2016	Zuogon Yue Johan Thunberg Lennart Ljung Ye Yuan Jorge Gonçalves
+	Sparse Bayesian Inference of Multivariable ARX Networks	2016	Junyang Jin Ye Yuan Alex Webb Jorge Gonçalves
+	Identifying biochemical reaction networks from heterogeneous datasets	2015	Wei Pan Ye Yuan Lennart Ljung Jorge Gonçalves Guy‐Bart Stan
+ PDF Chat	A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems	2015	Wei Pan Ye Yuan Jorge Gonçalves Guy‐Bart Stan
+ PDF Chat	On minimal realisations of dynamical structure functions	2015	Ye Yuan K. Glover Jorge Gonçalves
+	Identifying Biochemical Reaction Networks From Heterogeneous Datasets	2015	Wei Pan Ye Yuan Lennart Ljung Jorge Gonçalves Guy‐Bart Stan
+	Bayesian Approaches to Nonlinear Network Reconstruction	2014	Wei Pan Ye Yuan Jorge Gonçalves Guy‐Bart Stan
+	A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems	2014	Wei Pan Ye Yuan Jorge Gonçalves Guy‐Bart Stan
+ PDF Chat	Distributed privacy-preserving network size computation: A system-identification based method	2013	Federica Garin Ye Yuan
+	Network Reconstruction from Intrinsic Noise	2013	David Hayden Ye Yuan Jorge Gonçalves
+ PDF Chat	Robust network reconstruction in polynomial time	2012	David Hayden Ye Yuan Jorge Gonçalves
+ PDF Chat	Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach	2012	Wei Pan Ye Yuan Jorge Gonçalves Guy‐Bart Stan
+	Minimal realization of the dynamical structure function and its application to network reconstruction	2012	Ye Yuan Guy‐Bart Stan Sean Warnick Jorge Gonçalves
+ PDF Chat	Existence and Uniqueness of Periodic Solution for a Discrete-time SIR Epidemic Model with Time Delays and Impulses	2011	Ling Liu Ye Yuan
+	An only 2-step Q-superlinear convergence example for some algorithms that use reduced hessian approximations	1985	Ye Yuan

Common Coauthors

Coauthor	Papers Together
Jorge Gonçalves	22
Claire J. Tomlin	12
Wei Pan	9
Junyang Jin	7
Guy‐Bart Stan	7
Cheng Cheng	6
Guijun Ma	6
Dongrui Wu	5
Beitong Zhou	5
Hai‐Tao Zhang	5
Omid Ardakanian	4
Steven H. Low	4
Ehecatl Antonio del Rio‐Chanona	4
Roel Dobbe	4
Jian Huang	3
Xiuting Li	3
Alex Webb	3
Zuogong Yue	3
Lennart Ljung	3
Zhexuan Zeng	3
Ruimin Peng	2
Stephan Liu	2
Han Ding	2
Mu Li	2
Vassilios S. Vassiliadis	2
Zhenhua Shi	2
Jun Liu	2
Han Ding	2
Tao Zhou	2
Xiuchuan Tang	2
Alexandra von Meier	2
Huan Zhao	2
Duong L. T. Pham	2
Alexandre Mauroy	2
David Hayden	2
Vassilios S. Vassiliadis	2
Tao Xu	1
Kaituo Feng	1
K. Glover	1
Ming-Can Fan	1
Chenfeng Guo	1
Johan Thunberg	1
Xinlei Yi	1
Haitao Zhang	1
Fumin Zhang	1
Jianxi Gao	1
Maolin Wang	1
Nan Guan	1
Pavlo Molchanov	1
Fei Teng	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	12
+	Variational EM Algorithms for Non-Gaussian Latent Variable Models	2005	Jason Palmer Kenneth Kreutz-Delgado Bhaskar D. Rao David Wipf	8
+ PDF Chat	Data driven discovery of cyber physical systems	2019	Ye Yuan Xiuchuan Tang Wei Zhou Wei Pan Xiuting Li Hai‐Tao Zhang Han Ding Jorge Gonçalves	6
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	5
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	5
+ PDF Chat	Inverse Power Flow Problem	2022	Ye Yuan Steven H. Low Omid Ardakanian Claire J. Tomlin	4
+ PDF Chat	Subspace Pursuit for Compressive Sensing Signal Reconstruction	2009	Wei Dai Olgica Milenković	4
+ PDF Chat	On the limited memory BFGS method for large scale optimization	1989	Cheng‐Di Dong Jorge Nocedal	4
+ PDF Chat	Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints	2016	Laurent Lessard Benjamin Recht Andrew Packard	4
+	YALMIP : a toolbox for modeling and optimization in MATLAB	2005	Johan Löfberg	3
+	On the Convergence of the Concave-Convex Procedure	2009	Gert Lanckriet Bharath K. Sriperumbudur	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Discovering governing equations from data by sparse identification of nonlinear dynamical systems	2016	Steven L. Brunton Joshua L. Proctor J. Nathan Kutz	3
+	A differential equation for modeling Nesterov's accelerated gradient method: theory and insights	2016	Weijie Su Stephen Boyd Emmanuel J. Candès	3
+	Bayesian Sparse Group Selection	2015	Ray‐Bing Chen Chi‐Hsiang Chu Shinsheng Yuan Ying Wu	3
+	Type I and Type II Bayesian Methods for Sparse Signal Recovery Using Scale Mixtures	2016	Ritwik Giri Bhaskar D. Rao	3
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	3
+	Inverse Power Flow Problem	2016	Ye Yuan Steven H. Low Omid Ardakanian Claire J. Tomlin	3
+ PDF Chat	Robust EM kernel-based methods for linear system identification	2016	Giulio Bottegal Aleksandr Y. Aravkin Håkan Hjalmarsson Gianluigi Pillonetto	3
+ PDF Chat	Enhancing Sparsity by Reweighted ℓ 1 Minimization	2008	Emmanuel J. Candès Michael B. Wakin Stephen Boyd	3
+ PDF Chat	Estimating distribution grid topologies: A graphical learning based approach	2016	Deepjyoti Deka Scott Backhaus Michael Chertkov	3
+ PDF Chat	Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach	2012	Wei Pan Ye Yuan Jorge Gonçalves Guy‐Bart Stan	3
+ PDF Chat	Event detection and localization in distribution grids with phasor measurement units	2017	Omid Ardakanian Ye Yuan Roel Dobbe Alexandra von Meier Steven H. Low Claire J. Tomlin	3
+	SDPT3 — A Matlab software package for semidefinite programming, Version 1.3	1999	Kim-Chuan Toh Michael J. Todd Reha Tütüncü	3
+ PDF Chat	PaToPa: A Data-Driven Parameter and Topology Joint Estimation Framework in Distribution Grids	2017	Jiafan Yu Yang Weng Ram Rajagopal	3
+ PDF Chat	Extension of SBL Algorithms for the Recovery of Block Sparse Signals With Intra-Block Correlation	2013	Zhilin Zhang Bhaskar D. Rao	3
+ PDF Chat	DC approximation approaches for sparse optimization	2014	Hoai An Le Thi Tao Pham Dinh Hoai Minh Le Xuan Thanh Vo	3
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	3
+ PDF Chat	Kernels for Linear Time Invariant System Identification	2015	Francesco Dinuzzo	3
+	Quasi‐Newton Methods	2011	Ya-xiang Yuan	2
+	Estimating Distribution Grid Topologies: A Graphical Learning based Approach	2016	Deepjyoti Deka Scott Backhaus Michael Chertkov	2
+ PDF Chat	Diversity creation methods: a survey and categorisation	2004	Gavin Brown Jeremy Wyatt Rachel Harris Xin Yao	2
+ PDF Chat	Bayesian Group-Sparse Modeling and Variational Inference	2014	S. Derin Babacan Shinichi Nakajima N. Minh	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	2
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	2
+	Equivalence of distance-based and RKHS-based statistics in hypothesis testing	2013	Dino Sejdinović Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu	2
+	Vectorized adaptive quadrature in MATLAB	2007	L. F. Shampine	2
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	2
+ PDF Chat	Time-varying graphs and dynamic networks	2012	Arnaud Casteigts Paola Flocchini Walter Quattrociocchi Nicola Santoro	2
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	2
+	From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images	2009	Alfred M. Bruckstein⋆ David L. Donoho Michael Elad	2
+ PDF Chat	Machine learning in automated text categorization	2002	Fabrizio Sebastiani	2
+	Heterogeneity in cancer dynamics: A convex formulation to dissect dynamic trajectories and infer LTV models of networked systems	2015	Roel Dobbe Young Hwan Chang Jim Korkola Joe W. Gray Claire J. Tomlin	2
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	2
+	Community structure in social and biological networks	2002	Michelle Girvan M. E. J. Newman	2
+ PDF Chat	Data-driven approach for distribution network topology detection	2015	Guido Cavraro Reza Arghandeh Kameshwar Poolla Alexandra von Meier	2
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	2
+	Deep Domain Confusion: Maximizing for Domain Invariance	2014	Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell	2
+	Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC	1999	Christophe Andrieu Arnaud Doucet	2