Blind Super-Resolution via Projected Gradient Descent. - Sihan Mao; Jinchi Chen (ISIT, 2022)

Vectorized Hankel Lift: A Convex Approach for Blind Super-Resolution of Point Sources. - Jinchi Chen; Weiguo Gao; Sihan Mao; Ke Wei 001 (IEEE Trans. Inf. Theory, 2022)

Blind Super-Resolution of Point Sources via Projected Gradient Descent. - Sihan Mao; Jinchi Chen (IEEE Trans. Signal Process., 2022)

PEVLR: A New Privacy-Preserving and Efficient Approach for Vertical Logistic Regression. - Sihan Mao; Xiaolin Zheng; Jianguang Zhang; Xiaodong Hu (ICONIP (4), 2023)

Byzantine-Robust Compressed and Momentum-based Variance Reduction in Federated Learning. - Sihan Mao; Jianguang Zhang; Xiaodong Hu; Xiaolin Zheng (CSCWD, 2024)