Jirong Yi

According to our database, Jirong Yi authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Outlier Detection Using Generative Models with Theoretical Performance Guarantees.

Jirong Yi, Jingchao Gao, Tianming Wang, Xiaodong Wu, Weiyu Xu

CoRR, 2023

Outlier Detection for Generative Models with Performance Guarantees.

Jingchao Gao, Jirong Yi, Weiyu Xu

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability.

Jirong Yi, Myung Cho, Jingchao Gao, Xiaodong Wu, Weiyu Xu, Raghu Mudumbai

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond.

Kody A. Waldstein, Jirong Yi, Myung Cho, Raghu Mudumbai, Xiaodong Wu, Steven M. Varga, Weiyu Xu

PLoS Comput. Biol., October, 2022

Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems.

Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang

CoRR, 2022

Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems.

Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao

CoRR, 2022

2021

Solving Large Scale Quadratic Constrained Basis Pursuit.

Jirong Yi

CoRR, 2021

2020

Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery.

Jirong Yi, Weiyu Xu

IEEE Trans. Inf. Theory, 2020

Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints.

Jirong Yi, Myung Cho, Xiaodong Wu, Raghu Mudumbai, Weiyu Xu

CoRR, 2020

Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning.

Jirong Yi, Raghu Mudumbai, Weiyu Xu

CoRR, 2020

Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments.

Jirong Yi, Raghu Mudumbai, Weiyu Xu

CoRR, 2020

Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks.

Zain Khan, Jirong Yi, Raghu Mudumbai, Xiaodong Wu, Weiyu Xu

CoRR, 2020

2019

Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks.

Jirong Yi, Hui Xie, Leixin Zhou, Xiaodong Wu, Weiyu Xu, Raghuraman Mudumbai

CoRR, 2019

Joint 3D UAV Placement and Resource Allocation in Software-Defined Cellular Networks With Wireless Backhaul.

Chunyu Pan, Jirong Yi, Changchuan Yin, Jian Yu, Xuehua Li

IEEE Access, 2019

An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers.

Hui Xie, Jirong Yi, Weiyu Xu, Raghu Mudumbai

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Outlier Detection using Generative Models with Theoretical Performance Guarantees.

Jirong Yi, Anh Duc Le, Tianming Wang, Xiaodong Wu, Weiyu Xu

CoRR, 2018

Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.

Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.

Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho

CoRR, 2017