Learning Fair Classifiers via Min-Max F-divergence Regularization. - Meiyu Zhong; Ravi Tandon (Allerton, 2023)

Learning Fair Robustness via Domain Mixup. - Meiyu Zhong; Ravi Tandon (IEEECONF, 2024)

Intrinsic Fairness-Accuracy Tradeoffs Under Equalized Odds. - Meiyu Zhong; Ravi Tandon (ISIT, 2024)

Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification. - Wenhan Zhang 003; Meiyu Zhong; Ravi Tandon; Marwan Krunz (MILCOM, 2024)

SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing. - Meiyu Zhong; Ravi Tandon (CoRR, 2024)

Speeding up Speculative Decoding via Approximate Verification. - Meiyu Zhong; Noel Teku; Ravi Tandon (CoRR, 2025)