Jirong Yi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Mutual Information

Jensen Shannon Divergence

Norm Minimization

Top Venues

IEEE Trans. Inf. Theory

Publications

Jingchao Gao, Raghu Mudumbai, Xiaodong Wu, Jirong Yi, Catherine Xu, Hui Xie, Weiyu Xu
Towards unlocking the mystery of adversarial fragility of neural networks. CoRR (2024)
Jingchao Gao, Jirong Yi, Weiyu Xu
Outlier Detection for Generative Models with Performance Guarantees. CISS (2023)
Jirong Yi, Jingchao Gao, Tianming Wang, Xiaodong Wu, Weiyu Xu
Outlier Detection Using Generative Models with Theoretical Performance Guarantees. CoRR (2023)
Jirong Yi, Myung Cho, Jingchao Gao, Xiaodong Wu, Weiyu Xu, Raghu Mudumbai
Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability. ACSSC (2023)
Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. CoRR (2022)
Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. CoRR (2022)
Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems. CoRR (2022)
Kody A. Waldstein, Jirong Yi, Myung Cho, Raghu Mudumbai, Xiaodong Wu, Steven M. Varga, Weiyu Xu
Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond. PLoS Comput. Biol. 18 (10) (2022)
Jirong Yi
Solving Large Scale Quadratic Constrained Basis Pursuit. CoRR (2021)
Jirong Yi, Raghu Mudumbai, Weiyu Xu
Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments. CoRR (2020)
Jirong Yi, Raghu Mudumbai, Weiyu Xu
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning. CoRR (2020)
Jirong Yi, Weiyu Xu
Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery. IEEE Trans. Inf. Theory 66 (10) (2020)
Jirong Yi, Myung Cho, Xiaodong Wu, Raghu Mudumbai, Weiyu Xu
Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints. CoRR (2020)
Zain Khan, Jirong Yi, Raghu Mudumbai, Xiaodong Wu, Weiyu Xu
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks. CoRR (2020)
Hui Xie, Jirong Yi, Weiyu Xu, Raghu Mudumbai
An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers. ISIT (2019)
Chunyu Pan, Jirong Yi, Changchuan Yin, Jian Yu, Xuehua Li
Joint 3D UAV Placement and Resource Allocation in Software-Defined Cellular Networks With Wireless Backhaul. IEEE Access 7 (2019)
Hui Xie, Jirong Yi, Weiyu Xu, Raghu Mudumbai
An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers. CoRR (2019)
Jirong Yi, Hui Xie, Leixin Zhou, Xiaodong Wu, Weiyu Xu, Raghuraman Mudumbai
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks. CoRR (2019)
Jirong Yi, Anh Duc Le, Tianming Wang, Xiaodong Wu, Weiyu Xu
Outlier Detection using Generative Models with Theoretical Performance Guarantees. CoRR (2018)
Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho
Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. ISIT (2018)
Jirong Yi, Weiyu Xu
Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery. CoRR (2018)
Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho
Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. CoRR (2017)