2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
A Review of Human Emotion Synthesis Based on Generative Technology
Fei Ma, Yukan Li, Yifan Xie +8
Human emotion synthesis is a crucial aspect of affective computing. It involves using computational methods to mimic and convey human emotions through various modalities, with the…
Flexora: Flexible Low Rank Adaptation for Large Language Models
Chenxing Wei, Yao Shu, Ying Tiffany He +1
Large Language Models (LLMs) are driving advancements in artificial intelligence by increasing the scale of model parameters, which has significantly enhanced generalization abilit…
Generative Technology for Human Emotion Recognition: A Scope Review
Fei Ma, Yucheng Yuan, Yifan Xie +6
Affective computing stands at the forefront of artificial intelligence (AI), seeking to imbue machines with the ability to comprehend and respond to human emotions. Central to this…
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations
Yao Shu, Jiongfeng Fang, Ying Tiffany He +1
First-order optimization (FOO) algorithms are pivotal in numerous computational domains such as machine learning and signal denoising. However, their application to complex tasks l…