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Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

This paper investigates the sparse phase retrieval problem, which aims to recover a sparse signal from a system of quadratic measurements. In this work, we propose a novel non-convex algorithm, termed

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Compressive sensing (CS) enables fast spatial channel estimation in millimeter-wave and terahertz systems by leveraging the sparsity of the channel in the angle-domain. CS measurements, however, are o

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

This article investigates the problem of deep learning-based state estimation for dynamic systems with partially known dynamics and unknown noise statistics. We propose a Deep Double-Bayesian Filter (

Section: Publications & Resources

Publication: IEEE Transactions on Signal Processing

Identifying the graphical structure underlying observed multivariate data is essential in numerous applications. Current methodologies are predominantly confined to deducing a single graph under the p

Section: Publications & Resources

Publication: IEEE Transactions on Image Processing

The efficacy of logit transfer in knowledge distillation (KD) is often hampered by disparities in model architectures and imbalances in data distributions. Existing decoupled distillation methods pred

Section: Publications & Resources

Publication: IEEE Transactions on Information Forensics and Security

Deep Reinforcement Learning (DRL) has demonstrated remarkable capabilities in domains such as robotics, finance, and autonomous systems. With the increasing cost of training, DRL models are increasing

Section: Publications & Resources

Publication: IEEE Transactions on Multimedia

Editor-in-Chief:Honggang WangYeshiva University, USAEmail EiC