works on

From the 1 of 14 linked papers with an AI index.

activity
20242026
collaborators

14 papers

cs.AI2026

MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning

Tao Zhou, Jing Han, Lingyu Shu +1

Self-supervised foundation models have recently shown strong potential for electroencephalogram (EEG)-based analysis. However, existing approaches struggle to capture the inherentl…

cs.SD2026

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection

Qiyang Sun, Yi Chang, Yupei Li +3

The paper introduces CHARM, a training-free framework that calibrates large language model predictions and fuses prosodic acoustic cues to improve zero-shot multimodal sarcasm dete…

cs.SD2026

SIGMA: Saliency-Guided Sparse Mask Attacks for Speech Emotion Recognition

Qiyang Sun, Yi Chang, Zixing Zhang +1

Speech conveys rich emotional information. As Speech Emotion Recognition (SER) is usually deployed in privacy-sensitive and reliability-critical environments, adversarial attacks o…

cs.SD2025

AudioFab: Building A General and Intelligent Audio Factory through Tool Learning

Cheng Zhu, Jing Han, Qianshuai Xue +3

Currently, artificial intelligence is profoundly transforming the audio domain; however, numerous advanced algorithms and tools remain fragmented, lacking a unified and efficient f…

cs.CL2025

Structured Prompting and LLM Ensembling for Multimodal Conversational Aspect-based Sentiment Analysis

Zhiqiang Gao, Shihao Gao, Zixing Zhang +3

Understanding sentiment in multimodal conversations is a complex yet crucial challenge toward building emotionally intelligent AI systems. The Multimodal Conversational Aspect-base…

cs.CV2025

PTalker: Personalized Speech-Driven 3D Talking Head Animation via Style Disentanglement and Modality Alignment

Bin Wang, Yang Xu, Huan Zhao +2

Speech-driven 3D talking head generation aims to produce lifelike facial animations precisely synchronized with speech. While considerable progress has been made in achieving high…