13 citations · 17 across the 20 of their papers we have counts for
9 papers · 1 filter
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…