activity
20242026
most citedAudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Prediction-Layer Branch Calibration for Multimodal Sentiment Analysis

Yulin Sun, Kele Xu, Yong Dou

Multimodal sentiment analysis integrates textual, acoustic and visual cues, yet current language-model-based fusion methods typically leave prediction-layer branch allocation impli…

eess.AS2026

From Objectives to Applications: Aligning Architectural Biases in Audio Self-Supervised Learning

Kele Xu, Yulu Fang, Boda Zhou +6

This paper examines audio self-supervised learning (SSL) through the alignment between pretraining objectives, architectural inductive biases, and downstream applications. Rather t…

cs.AR2025

Timeripple: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space

Wenxuan Miao, Yulin Sun, Aiyue Chen +7

The recent surge in video generation has shown the growing demand for high-quality video synthesis using large vision models. Existing video generation models are predominantly bas…

cs.SD2025★ 2 cited

AudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation

Yulin Sun, Qisheng Xu, Yi Su +4

AudioSet is a widely used benchmark in the audio research community and has significantly advanced various audio-related tasks. However, persistent issues with label accuracy and c…

cs.SD2024

AudioCIL: A Python Toolbox for Audio Class-Incremental Learning with Multiple Scenes

Qisheng Xu, Yulin Sun, Yi Su +7

Deep learning, with its robust aotomatic feature extraction capabilities, has demonstrated significant success in audio signal processing. Typically, these methods rely on static,…