A Proximal Zeroth-Order Algorithm for Nonconvex Nonsmooth Problems. - Ehsan Kazemi 003; Liqiang Wang 001 (Allerton, 2018)

Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. - Ehsan Kazemi 003; Liqiang Wang 001 (AAAI, 2019)

Trace-Norm Adversarial Examples. - Ehsan Kazemi 003; Thomas Kerdreux; Liqiang Wang 001 (CoRR, 2020)

Generating Structured Adversarial Attacks Using Frank-Wolfe Method. - Ehsan Kazemi 003; Thomas Kerdreux; Liquang Wang (CoRR, 2021)

CTIN: Robust Contextual Transformer Network for Inertial Navigation. - Bingbing Rao; Ehsan Kazemi 003; Yifan Ding; Devu M. Shila; Frank M. Tucker; Liqiang Wang 001 (AAAI, 2022)

Complementing Semi-Supervised Learning with Uncertainty Quantification. - Ehsan Kazemi 003 (CoRR, 2022)

Minimally Distorted Structured Adversarial Attacks. - Ehsan Kazemi 003; Thomas Kerdreux; Liqiang Wang 001 (Int. J. Comput. Vis., 2023)

On complementing unsupervised learning with uncertainty quantification. - Ehsan Kazemi 003; Fariborz Taherkhani; Liqiang Wang 001 (Pattern Recognit. Lett., 2023)

Instance-Dependent Noise Refinement in Segment Anything Model for Weakly Supervised Object Detection. - Fariborz Taherkhani; Ehsan Kazemi 003 (ACCV (1), 2024)

MarineFormer: A Transformer-based Navigation Policy Model for Collision Avoidance in Marine Environment. - Ehsan Kazemi 003; Iman Soltani 001 (CoRR, 2024)

Efficient zeroth-order proximal stochastic method for nonconvex nonsmooth black-box problems. - Ehsan Kazemi 003; Liqiang Wang 001 (Mach. Learn., 2024)