activity
20182026
most citedRelation Modeling with Graph Convolutional Networks for Facial Action Unit Detection

87 citations · 224 across the 60 of their papers we have counts for

collaborators

61 papers

cs.CL2026

LLM-Anchored Paralinguistic Enrichment for Alzheimer's Disease Detection

Xiao Wei, Yuqin Lin, Yaru Cao +6

Speech-based automatic detection of Alzheimer's disease (AD) provides a non-invasive and scalable approach to early cognitive screening. AD affects both lexical-semantic organizati…

cs.CL2026

EmoS: A Theory-Grounded Framework for Evaluating and Aligning Emotional Intelligence in Spoken Language Models

Junyu Wang, Siyuan Zhang, Peiyuan Jiang +11

Despite significant advances in instruction-following and auditory comprehension, the evaluation of Emotional Intelligence (EI) in Spoken Language Models (SLMs) remains confined to…

cs.CL2026

Gated Multi-Graph Fusion via Graph Attention Networks for Alzheimer's Disease Detection

Jinyu Li, Xiao Wei, Bin Wen +5

Spontaneous speech is a vital non-invasive biomarker for Alzheimer's Disease (AD), yet many systems overlook non-linear structural disruptions and clinical heterogeneity in patholo…

eess.AS2026

EChO-Agent: Evidence Chain Orchestration Agent for Audio Reasoning

Siyuan Zhang, Jian Zong, Junyu Wang +7

While LALMs show promise on audio question answering, they fail to focus on question-relevant segments of audio and provide a clear, checkable reasoning process when dealing with c…

cs.SD2026

Speech Meets ELF: Audio Conditional Continuous-Target Diffusion for Speech Recognition and Translation

Xuanchen Li, Tianrui Wang, Yuheng Lu +11

Speech-to-text (S2T) systems for recognition (ASR) and translation (S2TT) typically generate discrete text tokens. In contrast, continuous-target language modelling performs genera…

cs.CL2026

CECOR: Correction-oriented synthetic data construction for factual error correction

Lei Zhu, Xiaobao Wang, Jianbiao Yang +4

Factual Error Correction (FEC) aims to revise inaccurate text into statements that are factually consistent with external evidence. Although recent methods perform well on single-h…