7 citations · 17 across the 9 of their papers we have counts for
12 papers
MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision
Ziyang Zhang, Shenyi Li, Yilin Wang +4
Time-series analysis is increasingly studied in multimodal settings, yet most benchmarks pair temporal signals with text or with visualizations derived from the same signal. This l…
Explainable and Generalisable LLM-based Cognitive Decline Detection with Spontaneous Speech
Ziyun Cui, Wen Wu, Chuan Shi +10
Alzheimer's disease (AD) and mild cognitive impairment (MCI), which may precede AD, manifest early through subtle linguistic and acoustic alterations. Traditional diagnostics, howe…
Speech-based Psychological Crisis Assessment using LLMs
Terumi Chiba, Yang Luo, Ziyun Cui +2
Psychological support hotlines provide critical support for individuals experiencing mental health emergencies, yet current assessments largely rely on human operators whose judgme…
SPEAR: A Unified SSL Framework for Learning Speech and Audio Representations
Xiaoyu Yang, Yifan Yang, Zengrui Jin +5
Self-supervised learning (SSL) has significantly advanced acoustic representation learning. However, most existing models are optimised for either speech or audio event understandi…
Towards Paradigm-General Suicide Risk Detection via Speech LLM
Jialun Li, Weitao Jiang, Ziyun Cui +6
Suicide risk among adolescents remains a critical public health concern, and speech provides a non-invasive and scalable approach for its detection. Speech-based suicide risk asses…
Speaker Anonymisation for Speech-based Suicide Risk Detection
Ziyun Cui, Sike Jia, Yang Lin +6
Adolescent suicide is a critical global health issue, and speech provides a cost-effective modality for automatic suicide risk detection. Given the vulnerable population, protectin…
Intern-S1: A Scientific Multimodal Foundation Model
Lei Bai, Zhongrui Cai, Yuhang Cao +173
In recent years, a plethora of open-source foundation models have emerged, achieving remarkable progress in some widely attended fields, with performance being quite close to that…
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
Qinfan Xiao, Ziyun Cui, Chi Zhang +6
Electroencephalography (EEG) and magnetoencephalography (MEG) measure neural activity non-invasively by capturing electromagnetic fields generated by dendritic currents. Although r…
The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents
Wen Wu, Ziyun Cui, Chang Lei +6
The 1st SpeechWellness Challenge (SW1) aims to advance methods for detecting current suicide risk in adolescents using speech analysis techniques. Suicide among adolescents is a cr…
Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models
Ziyun Cui, Chang Lei, Wen Wu +5
The early detection of suicide risk is important since it enables the intervention to prevent potential suicide attempts. This paper studies the automatic detection of suicide risk…
Bayesian WeakS-to-Strong from Text Classification to Generation
Ziyun Cui, Ziyang Zhang, Guangzhi Sun +2
Advances in large language models raise the question of how alignment techniques will adapt as models become increasingly complex and humans will only be able to supervise them wea…
Transferring speech-generic and depression-specific knowledge for Alzheimer's disease detection
Ziyun Cui, Wen Wu, Wei-Qiang Zhang +2
The detection of Alzheimer's disease (AD) from spontaneous speech has attracted increasing attention while the sparsity of training data remains an important issue. This paper hand…