5 citations · 9 across the 16 of their papers we have counts for
17 papers
CLASH: Counterfactual Auditing of Lexical and Prosodic Reliance in Spoken Sarcasm Detection
Qiyang Sun, Xudong Li, Yupei Li +4
Spoken sarcasm detectors may exploit lexical content, prosody, or their interaction, yet conventional evaluation cannot reveal which cues drive their predictions. We introduce CLAS…
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…
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…
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…
RAxSS: Retrieval-Augmented Sparse Sampling for Explainable Variable-Length Medical Time Series Classification
Aydin Javadov, Samir Garibov, Tobias Hoesli +4
Medical time series analysis is challenging due to data sparsity, noise, and highly variable recording lengths. Prior work has shown that stochastic sparse sampling effectively han…
Cross-Dialect Bird Species Recognition with Dialect-Calibrated Augmentation
Jiani Ding, Qiyang Sun, Alican Akman +1
Dialect variation hampers automatic recognition of bird calls collected by passive acoustic monitoring. We address the problem on DB3V, a three-region, ten-species corpus of 8-s cl…
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…
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…
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…
Explainable Artificial Intelligence for Medical Applications: A Review
Qiyang Sun, Alican Akman, Björn W. Schuller
The continuous development of artificial intelligence (AI) theory has propelled this field to unprecedented heights, owing to the relentless efforts of scholars and researchers. In…
Audio-based Kinship Verification Using Age Domain Conversion
Qiyang Sun, Alican Akman, Xin Jing +2
Audio-based kinship verification (AKV) is important in many domains, such as home security monitoring, forensic identification, and social network analysis. A key challenge in the…
Audio Explanation Synthesis with Generative Foundation Models
Alican Akman, Qiyang Sun, Björn W. Schuller
The increasing success of audio foundation models across various tasks has led to a growing need for improved interpretability to understand their intricate decision-making process…