most citedASD-Chat: An Innovative Dialogue Intervention System for Children with Autism based on LLM and VB-MAPP

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Self-Supervised Graph Embedding Clustering

Fangfang Li, Quanxue Gao, Cheng Deng +1

The K-means one-step dimensionality reduction clustering method has made some progress in addressing the curse of dimensionality in clustering tasks. However, it combines the K-mea…

cs.HC20242 cited

ASD-Chat: An Innovative Dialogue Intervention System for Children with Autism based on LLM and VB-MAPP

Chengyun Deng, Shuzhong Lai, Chi Zhou +5

Early diagnosis and professional intervention can help children with autism spectrum disorder (ASD) return to normal life. However, the scarcity and imbalance of professional medic…

cs.CV2024

High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning

Yu Lei, Guoshuai Sheng, Fangfang Li +3

Zero-shot learning(ZSL) aims to recognize new classes without prior exposure to their samples, relying on semantic knowledge from observed classes. However, current attention-based…

cs.LG2024

Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization

Rui Wang, Jing Li, Quanxue Gao +1

The clustering method based on the anchor graph has gained significant attention due to its exceptional clustering performance and ability to process large-scale data. One common a…

cs.LG2024

One-Step Multi-View Clustering Based on Transition Probability

Wenhui Zhao, Quanxue Gao, Guangfei Li +2

The large-scale multi-view clustering algorithms, based on the anchor graph, have shown promising performance and efficiency and have been extensively explored in recent years. Des…

cs.LG2024

Label Learning Method Based on Tensor Projection

Jing Li, Quanxue Gao, Qianqian Wang +2

Multi-view clustering method based on anchor graph has been widely concerned due to its high efficiency and effectiveness. In order to avoid post-processing, most of the existing a…