← Search

Penghong Wang

2 accepted papers

2025

TS-Net: Assembling Task-specific Features from Multiple Feature Levels for Multi-task Learning

ICASSP 2025accepted

Multi-task learning (MTL) has become an attractive topic that leverages shared knowledge to improve performance and enhance generalization. However, most existing works neglect the varying contribution of multi-level features to sub-task representations. In this paper, we explore the impact of multi…

Cited by 0SourceScholar
2022

Distributed Audio-Visual Parsing Based On Multimodal Transformer and Deep Joint Source Channel Coding

ICASSP 2022accepted

Audio-visual parsing (AVP) is a newly emerged multimodal perception task, which detects and classifies audio-visual events in video. However, most existing AVP networks only use a simple attention mechanism to guide audio-visual multimodal events, and are implemented in a single end. This makes it u…

Cited by 0SourceScholar