Laiyi Fu

According to our database, Laiyi Fu authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic Differentiation.

Laiyi Fu, Binbin Fan, Hongkai Du, Yanxiang Feng, Chunhua Li, Huping Song

CoRR, 2024

Progressive enhancement and restoration for mural images under low-light and defected conditions based on multi-receptive field strategy.

Xiameng Wei, Binbin Fan, Ying Wang, Yanxiang Feng, Laiyi Fu

CoRR, 2024

ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA-disease associations in heterogeneous graphs.

Laiyi Fu, Zhiyuan Yao, Yangyi Zhou, Qinke Peng, Hongqiang Lyu

Briefings Bioinform., 2024

2023

BertNDA: A Model Based on Graph-Bert and Multi-Scale Information Fusion for ncRNA-Disease Association Prediction.

Zhiwei Ning, Jinyang Wu, Yidong Ding, Ying Wang, Qinke Peng, Laiyi Fu

IEEE J. Biomed. Health Informatics, November, 2023

KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations.

Jinyang Wu, Zhiwei Ning, Yidong Ding, Ying Wang, Qinke Peng, Laiyi Fu

Briefings Bioinform., September, 2023

LncDLSM: Identification of Long Non-Coding RNAs With Deep Learning-Based Sequence Model.

Ying Wang, Pengfei Zhao, Hongkai Du, Yingxin Cao, Qinke Peng, Laiyi Fu

IEEE J. Biomed. Health Informatics, April, 2023

2022

Design and Application of a Non-wrapped Programmable Logic Controller (PLC) Laboratory Kit for Automatic Control Education.

Ying Wang, Xiaodong Ren, Zhou Jing, Meilan Liu, Qinke Peng, Laiyi Fu

Proceedings of the 20th International Conference on Information Technology Based Higher Education and Training, 2022

2021

SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration.

Yingxin Cao, Laiyi Fu, Jie Wu, Qinke Peng, Qing Nie, Jing Zhang, Xiaohui Xie

Bioinform., 2021

2020

Predicting DNA Methylation States with Hybrid Information Based Deep-Learning Model.

Laiyi Fu, Qinke Peng, Ling Chai

IEEE ACM Trans. Comput. Biol. Bioinform., 2020