13 citations · 17 across the 20 of their papers we have counts for
22 papers
Beyond Accuracy: ARIA-Rubrics for Evaluating Audio Reasoning in Large Audio Language Models
Yupei Li, Qiyang Sun, Mohamed Mady +4
Large Audio Language Models (LALMs) have shown strong performance on audio reasoning benchmarks, but accuracy alone cannot distinguish true reasoning from superficial pattern match…
Perceptible or Not? Diagnosing Passive Fingerprints for Speech Deepfake Attribution
Yupei Li, Qiyang Sun, Emmanouil Benetos +2
Passive fingerprints (intrinsic traces naturally left by generators) have been shown to enable attribution in speech deepfake detection, yet their persistence, reproducibility, and…
CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection
Qiyang Sun, Yi Chang, Yupei Li +3
Sarcasm detection, the identification of discrepancies between literal and intended meaning, is a fundamental task in affective computing. However, zero-shot instruction-tuned Larg…
Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment
Xiaoliang Wu, Qiyang Sun, Yupei Li +3
Dysarthria severity assessment is essential for therapy planning and longitudinal monitoring, yet manual perceptual rating is time-consuming and variable across clinicians. Althoug…
XAI-Grounded Explanation Generation for Speech Deepfake Detection with Training-Free Multimodal Large Language Models
Yupei Li, Qiyang Sun, Xiaoliang Wu +3
Speech deepfake detection (SDD) systems require trustworthy explanations for reliable decision-making. Existing explanation ways mainly fall into two categories. Traditional explai…
Explainable Speech Emotion Recognition: Weighted Attribute Fairness to Model Demographic Contributions to Social Bias
Tomisin Ogunnubi, Yupei Li, Björn Schuller
Speech Emotion Recognition (SER) systems have growing applications in sensitive domains such as mental health and education, where biased predictions can cause harm. Traditional fa…
Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms
Yupei Li, Shuaijie Shao, Manuel Milling +1
Current audio deepfake detection has achieved remarkable performance using diverse deep learning architectures such as ResNet, and has seen further improvements with the introducti…
Affect and Effect: Limitations of regularisation-based continual learning in EEG-based emotion classification
Nina Peire, Yupei Li, Björn Schuller
Generalisation to unseen subjects in EEG-based emotion classification remains a challenge due to high inter-and intra-subject variability. Continual learning (CL) poses a promising…
DFALLM: Achieving Generalizable Multitask Deepfake Detection by Optimizing Audio LLM Components
Yupei Li, Li Wang, Yuxiang Wang +5
Audio deepfake detection has recently garnered public concern due to its implications for security and reliability. Traditional deep learning methods have been widely applied to th…
The Affective Bridge: Preserving Speech Representations while Enhancing Deepfake Detection via emotional Constraints
Yupei Li, Chenyang Lyu, Longyue Wang +3
Speech deepfake detection (DFD) has benefited from diverse acoustic and semantic speech representations, many of which encode valuable speech information and are costly to train. P…
TopoAlign: A Framework for Aligning Code to Math via Topological Decomposition
Yupei Li, Philipp Borchert, Gerasimos Lampouras
Large Language Models (LLMs) excel at both informal and formal (e.g. Lean 4) mathematical reasoning but still struggle with autoformalisation, the task of transforming informal int…
Artificial Emotion: A Survey of Theories and Debates on Realising Emotion in Artificial Intelligence
Yupei Li, Qiyang Sun, Michelle Schlicher +2
Affective Computing (AC) has enabled Artificial Intelligence (AI) systems to recognise, interpret, and respond to human emotions - a capability also known as Artificial Emotional I…
Automatic Contouring of Spinal Vertebrae on X-Ray using a Novel Sandwich U-Net Architecture
Sunil Munthumoduku Krishna Murthy, Kumar Rajamani, Srividya Tirunellai Rajamani +3
In spinal vertebral mobility disease, accurately extracting and contouring vertebrae is essential for assessing mobility impairments and monitoring variations during flexion-extens…
Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge
Yupei Li, Shuaijie Shao, Manuel Milling +1
Depression is a growing concern gaining attention in both public discourse and AI research. While deep neural networks (DNNs) have been used for recognition, they still lack real-w…
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Yupei Li, Manuel Milling, Björn W. Schuller
Artificial Intelligence (AI) has achieved new levels of performance and spread in public usage with the rise of deep neural networks (DNNs). Initially inspired by human neurons and…
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations
Yupei Li, Qiyang Sun, Sunil Munthumoduku Krishna Murthy +2
Affective Computing (AC) is essential for advancing Artificial General Intelligence (AGI), with emotion recognition serving as a key component. However, human emotions are inherent…
DOTA-ME-CS: Daily Oriented Text Audio-Mandarin English-Code Switching Dataset
Yupei Li, Zifan Wei, Heng Yu +3
Code-switching, the alternation between two or more languages within communication, poses great challenges for Automatic Speech Recognition (ASR) systems. Existing models and datas…
Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment
Qiyang Sun, Yupei Li, Emran Alturki +2
As Artificial Intelligence (AI) continues to advance rapidly, Friendly AI (FAI) has been proposed to advocate for more equitable and fair development of AI. Despite its importance,…
Explainable Detection of Machine Generated Music and Early Systematic Evaluation
Yupei Li, Qiyang Sun, Hanqian Li +2
Machine-generated music (MGM) has become a groundbreaking innovation with wide-ranging applications, such as music therapy, personalised editing, and creative inspiration within th…
Discourse Features Enhance Detection of Document-Level Machine-Generated Content
Yupei Li, Manuel Milling, Lucia Specia +1
The availability of high-quality APIs for Large Language Models (LLMs) has facilitated the widespread creation of Machine-Generated Content (MGC), posing challenges such as academi…
M6: Multi-generator, Multi-domain, Multi-lingual and cultural, Multi-genres, Multi-instrument Machine-Generated Music Detection Databases
Yupei Li, Hanqian Li, Lucia Specia +1
Machine-generated music (MGM) has emerged as a powerful tool with applications in music therapy, personalised editing, and creative inspiration for the music community. However, it…
From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview
Yupei Li, Manuel Milling, Lucia Specia +1
As Artificial Intelligence (AI) technologies continue to evolve, their use in generating realistic, contextually appropriate content has expanded into various domains. Music, an ar…