18 citations · 27 across the 6 of their papers we have counts for
6 papers
Personality-guided Public-Private Domain Disentangled Hypergraph-Former Network for Multimodal Depression Detection
Changzeng Fu, Shiwen Zhao, Yunze Zhang +3
Depression represents a global mental health challenge requiring efficient and reliable automated detection methods. Current Transformer- or Graph Neural Networks (GNNs)-based mult…
Foundation of Affective Computing and Interaction
Changzeng Fu
This book provides a comprehensive exploration of affective computing and human-computer interaction technologies. It begins with the historical development and basic concepts of h…
I Know Your Feelings Before You Do: Predicting Future Affective Reactions in Human-Computer Dialogue
Yuanchao Li, Koji Inoue, Leimin Tian +5
Current Spoken Dialogue Systems (SDSs) often serve as passive listeners that respond only after receiving user speech. To achieve human-like dialogue, we propose a novel future pre…
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer
Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi +1
In this study, we explore the transformer's ability to capture intra-relations among frames by augmenting the receptive field of models. Concretely, we propose a CycleGAN-based mod…
JPS-daprinfo: A Dataset for Japanese Dialog Act Analysis and People-related Information Detection
Changzeng Fu
We conducted a labeling work on a spoken Japanese dataset (I-JAS) for the text classification, which contains 50 interview dialogues of two-way Japanese conversation that discuss t…
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
Changzeng Fu, Chaoran Liu, Carlos Toshinori Ishi +2
Text categorization is the task of assigning labels to documents written in a natural language, and it has numerous real-world applications including sentiment analysis as well as…