Jirong Yi - RankMe

26 papers A* 1B 2Misc 2Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract). AAAI Jingchao Gao, Ziqing Lu, Raghu Mudumbai, Xiaodong Wu, Jirong Yi, Myung Cho, Catherine Xu, Hui Xie, Weiyu Xu
2026	J	`jnl`	Multicenter evaluation of interpretable AI for coronary artery disease diagnosis from PET biomarkers. npj Digit. Medicine Wenhao Zhang, Jacek Kwiecinski, Aakash D. Shanbhag, Robert J. H. Miller, Shiva Mostafavi, Giselle Ramirez, Jirong Yi, Donghee Han, Damini Dey, Dominika Grodecka, Kajetan Grodecki, Mark Lemley, Paul Kavanagh, Joanna X. Liang, Jianhang Zhou, Valerie Builoff, Jon Hainer, Sylvain Carre, Leanne Barrett, Andrew J. Einstein, Stacey Knight, Steve Mason, Viet T. Le, Wanda Acampa, Samuel Wopperer, Panithaya Chareonthaitawee, Daniel S. Berman, Marcelo Di Carli, Piotr J. Slomka
2025	J	`jnl`	Outlier Detection Using Generative Models With Theoretical Performance Guarantees. IEEE Trans. Inf. Theory Jirong Yi, Jingchao Gao, Tianming Wang, Xiaodong Wu, Weiyu Xu
2024	—	`conf`	Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning. IEEECONF Jirong Yi, Raghu Mudumbai, Weiyu Xu
2024	J	`jnl`	Towards unlocking the mystery of adversarial fragility of neural networks. CoRR Jingchao Gao, Raghu Mudumbai, Xiaodong Wu, Jirong Yi, Catherine Xu, Hui Xie, Weiyu Xu
2023	Misc	`conf`	Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability. ACSSC Jirong Yi, Myung Cho, Jingchao Gao, Xiaodong Wu, Weiyu Xu, Raghu Mudumbai
2023	J	`jnl`	Outlier Detection Using Generative Models with Theoretical Performance Guarantees. CoRR Jirong Yi, Jingchao Gao, Tianming Wang, Xiaodong Wu, Weiyu Xu
2023	Misc	`conf`	Outlier Detection for Generative Models with Performance Guarantees. CISS Jingchao Gao, Jirong Yi, Weiyu Xu
2022	J	`jnl`	Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. CoRR Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao
2022	J	`jnl`	Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. CoRR Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao
2022	J	`jnl`	Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems. CoRR Jirong Yi, Qiaosheng Zhang, Zhen Chen, Qiao Liu, Wei Shao, Yusen He, Yaohua Wang
2022	J	`jnl`	Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond. PLoS Comput. Biol. Kody A. Waldstein, Jirong Yi, Myung Cho, Raghu Mudumbai, Xiaodong Wu, Steven M. Varga, Weiyu Xu
2021	J	`jnl`	Solving Large Scale Quadratic Constrained Basis Pursuit. CoRR Jirong Yi
2020	J	`jnl`	Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning. CoRR Jirong Yi, Raghu Mudumbai, Weiyu Xu
2020	J	`jnl`	Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks. CoRR Zain Khan, Jirong Yi, Raghu Mudumbai, Xiaodong Wu, Weiyu Xu
2020	J	`jnl`	Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments. CoRR Jirong Yi, Raghu Mudumbai, Weiyu Xu
2020	J	`jnl`	Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery. IEEE Trans. Inf. Theory Jirong Yi, Weiyu Xu
2020	J	`jnl`	Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints. CoRR Jirong Yi, Myung Cho, Xiaodong Wu, Raghu Mudumbai, Weiyu Xu
2019	B	`conf`	An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers. ISIT Hui Xie, Jirong Yi, Weiyu Xu, Raghu Mudumbai
2019	J	`jnl`	An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers. CoRR Hui Xie, Jirong Yi, Weiyu Xu, Raghu Mudumbai
2019	J	`jnl`	Joint 3D UAV Placement and Resource Allocation in Software-Defined Cellular Networks With Wireless Backhaul. IEEE Access Chunyu Pan, Jirong Yi, Changchuan Yin, Jian Yu, Xuehua Li
2019	J	`jnl`	Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks. CoRR Jirong Yi, Hui Xie, Leixin Zhou, Xiaodong Wu, Weiyu Xu, Raghuraman Mudumbai
2018	J	`jnl`	Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery. CoRR Jirong Yi, Weiyu Xu
2018	J	`jnl`	Outlier Detection using Generative Models with Theoretical Performance Guarantees. CoRR Jirong Yi, Anh Duc Le, Tianming Wang, Xiaodong Wu, Weiyu Xu
2018	B	`conf`	Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. ISIT Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho
2017	J	`jnl`	Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach. CoRR Weiyu Xu, Jirong Yi, Soura Dasgupta, Jian-Feng Cai, Mathews Jacob, Myung Cho