Yuan Gao
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This paper studies how the choice of default prior for a Gaussian scale affects high-dimensional shrinkage risk.
The paper introduces WaspMOT, a new benchmark for long-term multi-object tracking, and evaluates five tracking-by-detection methods.
The paper introduces Label-Augmented Conditional Diffusion (LACD), a method for learning complex conditional distributions using unlabeled data, and provides theoretical guarantees for its effectiveness.
This paper proposes RPG-VST, a robust variance-stabilization framework for blind RAW denoising using Student-t log-variance objective and physical constraints.
This paper proposes a three-stage AI-driven framework for generalizable and computationally efficient channel extrapolation in 6G mobile networks.
Papers
Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective
This paper proposes a three-stage AI-driven framework for generalizable and computationally efficient channel extrapolation in 6G mobile networks.