Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability. - Jirong Yi; Myung Cho; Jingchao Gao; Xiaodong Wu 001; Weiyu Xu; Raghu Mudumbai (ACSSC, 2023)

Outlier Detection for Generative Models with Performance Guarantees. - Jingchao Gao; Jirong Yi; Weiyu Xu (CISS, 2023)

Optimal Compression for Minimizing Classification Error Probability: An Information-Theoretic Approach. - Jingchao Gao; Ao Tang; Weiyu Xu (ICASSP, 2023)

Towards unlocking the mystery of adversarial fragility of neural networks. - Jingchao Gao; Raghu Mudumbai; Xiaodong Wu 001; Jirong Yi; Catherine Xu; Hui Xie; Weiyu Xu (CoRR, 2024)

Outlier Detection Using Generative Models With Theoretical Performance Guarantees. - Jirong Yi; Jingchao Gao; Tianming Wang; Xiaodong Wu 001; Weiyu Xu (IEEE Trans. Inf. Theory, 2025)