Jirong Yi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Towards unlocking the mystery of adversarial fragility of neural networks	2024	Jingchao Gao Raghu C. Mudumbai Xiaodong Wu Jirong Yi Catherine Xu Hui Xie Weiyu Xu
+ PDF Chat	Outlier Detection Using Generative Models with Theoretical Performance Guarantees	2024	Jirong Yi Jingchao Gao Tianming Wang Xiaodong Wu Weiyu Xu
+ PDF Chat	Separation-free super-resolution from compressed measurements is possible: an orthonormal atomic norm minimization approach	2023	Jirong Yi Soura Dasgupta Jian‐Feng Cai Mathews Jacob Jingchao Gao Myung Cho Weiyu Xu
+	Outlier Detection Using Generative Models with Theoretical Performance Guarantees	2023	Jirong Yi Anh Duc Le Tianming Wang Xiaodong Wu Weiyu Xu
+	Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems	2022	Jirong Yi Qiaosheng Zhang Zhe Chen Qiao Liu Wei Shao
+	Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems	2022	Jirong Yi Qiaosheng Zhang Zhe Chen Qiao Liu Wei Shao
+	Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems	2022	Jirong Yi Qiaosheng Zhang Zhe Chen Qiao Liu Wei Shao Yusen He Yaohua Wang
+	Solving Large Scale Quadratic Constrained Basis Pursuit	2021	Jirong Yi
+	Optimal Needle Placement for Prostate Rotating-Shield Brachytherapy (RSBT)	2021	Jirong Yi Quentin E. Adams Karolyn M. Hopfensperger Ryan T. Flynn Yusung Kim John M. Buatti Weiyu Xu Xiaodong Wu
+ PDF Chat	Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints	2020	Jirong Yi Myung Cho Xiaodong Wu Raghu C. Mudumbai Weiyu Xu
+ PDF Chat	Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning	2020	Jirong Yi Raghu C. Mudumbai Weiyu Xu
+	Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery	2020	Jirong Yi Weiyu Xu
+	Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks	2020	Zain Khan Jirong Yi Raghu Mudumbai Xiaodong Wu Weiyu Xu
+	Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments	2020	Jirong Yi Raghu Mudumbai Weiyu Xu
+	Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning	2020	Jirong Yi Raghu Mudumbai Weiyu Xu
+	Error Correction Codes for COVID-19 Virus and Antibody Testing: Using Pooled Testing to Increase Test Reliability	2020	Jirong Yi Myung Cho Xiaodong Wu Weiyu Xu Raghu Mudumbai
+	Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints	2020	Jirong Yi Myung Cho Xiaodong Wu Raghu Mudumbai Weiyu Xu
+ PDF Chat	An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers	2019	Hui Xie Jirong Yi Weiyu Xu Raghu Mudumbai
+	An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers	2019	Hui Xie Jirong Yi Weiyu Xu Raghu Mudumbai
+	Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks	2019	Jirong Yi Hui Xie Leixin Zhou Xiaodong Wu Weiyu Xu Raghuraman Mudumbai
+	Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery	2018	Jirong Yi Weiyu Xu
+	Outlier Detection using Generative Models with Theoretical Performance Guarantees	2018	Jirong Yi Anh Duc Le Tianming Wang Xiaodong Wu Weiyu Xu
+ PDF Chat	Fast dose optimization for rotating shield brachytherapy	2017	Myung Cho Xiaodong Wu Hossein Dadkhah Jirong Yi Ryan T. Flynn Yusung Kim Weiyu Xu
+	Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach	2017	Weiyu Xu Jirong Yi Soura Dasgupta Jian‐Feng Cai Mathews Jacob Myung Cho

Common Coauthors

Coauthor	Papers Together
Weiyu Xu	16
Raghu Mudumbai	7
Xiaodong Wu	6
Myung Cho	6
Hui Xie	4
Weiyu Xu	4
Zhe Chen	3
Jingchao Gao	3
Qiao Liu	3
Raghu C. Mudumbai	3
Qiaosheng Zhang	3
Xiaodong Wu	3
Tianming Wang	3
Soura Dasgupta	2
Ryan T. Flynn	2
Yusung Kim	2
Jian‐Feng Cai	2
Mathews Jacob	2
Wei Shao	2
Quentin E. Adams	1
Wei Shao	1
Yaohua Wang	1
Yusen He	1
Karolyn M. Hopfensperger	1
Xiaodong Wu	1
Anh Duc Le	1
Zain Khan	1
Raghuraman Mudumbai	1
Catherine Xu	1
John M. Buatti	1
Xiaodong Wu	1
Hossein Dadkhah	1
Leixin Zhou	1
Anh Duc Le	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	5
+ PDF Chat	Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks	2016	Nicolas Papernot Patrick McDaniel Xi Wu Somesh Jha Ananthram Swami	4
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	4
+	Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction	2016	Jian‐Feng Cai Xiaobo Qu Weiyu Xu Gui–Bo Ye	4
+ PDF Chat	Decoding by Linear Programming	2005	Emmanuel J. Candès Terence Tao	4
+ PDF Chat	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	4
+	Null space conditions and thresholds for rank minimization	2010	Benjamin Recht Weiyu Xu Babak Hassibi	3
+	A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples	2016	Thomas Tanay Lewis D. Griffin	3
+	DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules	2018	Nicholas Frosst Sara Sabour Geoffrey E. Hinton	3
+	Robustness of classifiers: from adversarial to random noise	2016	Alhussein Fawzi Seyed-Mohsen Moosavi-Dezfooli Pascal Frossard	3
+ PDF Chat	COVID-19 epidemic in Switzerland: on the importance of testing, contact tracing and isolation	2020	Marcel Salath Christian L. Althaus Richard A. Neher Silvia Stringhini Emma B. Hodcroft Jacques Fellay Marcel Zwahlen Gabriela Senti Manuel Battegay Annelies Wilder‐Smith	3
+	New Null Space Results and Recovery Thresholds for Matrix Rank Minimization	2010	Samet Oymak Babak Hassibi	3
+	Defensive Distillation is Not Robust to Adversarial Examples	2016	Nicholas Carlini David Wagner	3
+	Opening the Black Box of Deep Neural Networks via Information	2017	Ravid Shwartz-Ziv Naftali Tishby	3
+ PDF Chat	Interrupting transmission of COVID-19: lessons from containment efforts in Singapore	2020	Vernon J. Lee Calvin J. Chiew Wei Xin Khong	3
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	3
+ PDF Chat	Structured low-rank approximation and its applications	2008	Ivan Markovsky	2
+ PDF Chat	Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization	2010	Benjamin Recht Maryam Fazel Pablo A. Parrilo	2
+	Boosting test-efficiency by pooled testing strategies for SARS-CoV-2	2020	Ricardó A. Hanel Stefan Thurner	2
+ PDF Chat	Spectral Super-Resolution With Prior Knowledge	2015	Kumar Vijay Mishra Myung Cho Anton Kruger Weiyu Xu	2
+ PDF Chat	Parameter Selection and Preconditioning for a Graph Form Solver	2018	Christopher Fougner Stephen Boyd	2
+ PDF Chat	Towards a Mathematical Theory of Super‐resolution	2013	Emmanuel J. Candès Carlos Fernandez‐Granda	2
+	Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments	2020	Jirong Yi Raghu Mudumbai Weiyu Xu	2
+	MUSIC for single-snapshot spectral estimation: Stability and super-resolution	2014	Wenjing Liao Albert Fannjiang	2
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	2
+	New Perturbation Bounds for Unitary Polar Factors	2003	Wen Li Weiwei Sun	2
+	Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks	2019	Jirong Yi Hui Xie Leixin Zhou Xiaodong Wu Weiyu Xu Raghuraman Mudumbai	2
+ PDF Chat	An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers	2019	Hui Xie Jirong Yi Weiyu Xu Raghu Mudumbai	2
+	Feature Denoising for Improving Adversarial Robustness	2018	Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He	2
+	Defending against Whitebox Adversarial Attacks via Randomized Discretization	2019	Yuchen Zhang Percy Liang	2
+	Rademacher Complexity for Adversarially Robust Generalization	2018	Dong Yin Kannan Ramchandran Peter L. Bartlett	2
+	Audio Adversarial Examples: Targeted Attacks on Speech-to-Text	2018	Nicholas Carlini David Wagner	2
+	Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models.	2018	Pouya Samangouei Maya Kabkab Rama Chellappa	2
+	Hankel Matrix Rank Minimization with Applications to System Identification and Realization	2013	Maryam Fazel Ting Kei Pong Defeng Sun Paul Tseng	2
+	Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach	2017	Weiyu Xu Jirong Yi Soura Dasgupta Jian‐Feng Cai Mathews Jacob Myung Cho	2
+	Precise Stability Phase Transitions for $\ell_1$ Minimization: A Unified Geometric Framework	2011	Weiyu Xu Babak Hassibi	2
+	The Robust Manifold Defense: Adversarial Training using Generative Models	2017	Andrew Ilyas Ajil Jalal Eirini Asteri Constantinos Daskalakis Alexandros G. Dimakis	2
+	Towards Deep Learning Models Resistant to Adversarial Attacks	2017	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	2
+ PDF Chat	On the nuclear norm heuristic for a Hankel matrix completion problem	2014	Liang Dai Kristiaan Pelckmans	2
+ PDF Chat	Block splitting for distributed optimization	2013	Neal Parikh S. T. P. Boyd	2
+	Efficient and Robust Compressed Sensing using High-Quality Expander Graphs	2008	Sina Jafarpour Weiyu Xu Babak Hassibi A.R. Calderbank	2
+ PDF Chat	Adversarial vulnerability for any classifier	2018	Alhussein Fawzi Hamza Fawzi Omar Fawzi	2
+ PDF Chat	High-Dimensional Centrally Symmetric Polytopes with Neighborliness Proportional to Dimension	2005	David L. Donoho	2
+	Universal Adversarial Training	2018	Ali Shafahi Mahyar Najibi Zheng Xu John P. Dickerson Larry S. Davis Tom Goldstein	2
+	Adversarial examples in the physical world	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	2
+ PDF Chat	Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks	2019	Thomas Brunner Frederik Diehl Michael Truong Le Alois Knoll	2
+ PDF Chat	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao	2
+	Ensemble Adversarial Training: Attacks and Defenses.	2017	Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel	2
+	Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey	2018	Naveed Akhtar Ajmal Mian	2
+ PDF Chat	Noisy Pooled PCR for Virus Testing	2020	Junan Zhu Kristina R. Rivera Dror Baron	2