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Xuehan Wang

3 accepted papers

2026

MoCoDiff: A Controllable Autoregressive Diffusion Model for Expressive Motion Generation

CVPR 2026

Diffusion-based motion generation has advanced rapidly, but current methods still struggle with long-horizon consistency, style control, and multi-condition guidance. A major reason is the fused-conditioning design, where semantic, stylistic, and temporal signals share a single pathway, causing inte

Cited by 0SourceScholar
2022

Study of the Null Directions on The Performance of Differential Beamformers

ICASSP 2022accepted

Null directions are important parameters for differential beamformers, which play an important role on the beamforming performance. In this paper, we investigate the performance of differential beamformers as a function of the null directions. We first derive the directivity factor (DF) as an explic…

Cited by 0SourceScholar
2021

Robust Steerable Differential Beamformers with Null Constraints for Concentric Circular Microphone Arrays

ICASSP 2021accepted

Differential beamformers with concentric circular microphone arrays (CCMAs) are desirable for use in various applications since they can form frequency-invariant spatial responses, have better beam steering flexibility than linear arrays, and suffer less with beampattern irregularity and white noise…

Cited by 0SourceScholar