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Laiyi Fu
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2020 – today
- 2024
- [j6]Laiyi Fu
, Zhiyuan Yao, Yangyi Zhou, Qinke Peng, Hongqiang Lyu
ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA-disease associations in heterogeneous graphs. Briefings Bioinform. 25(6) (2024) - [i2]Xiameng Wei, Binbin Fan, Ying Wang, Yanxiang Feng, Laiyi Fu:
Progressive enhancement and restoration for mural images under low-light and defected conditions based on multi-receptive field strategy. CoRR abs/2405.08245 (2024) - [i1]Laiyi Fu, Binbin Fan, Hongkai Du, Yanxiang Feng, Chunhua Li, Huping Song:
A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic Differentiation. CoRR abs/2407.18483 (2024) - 2023
- [j5]Jinyang Wu
KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations. Briefings Bioinform. 24(5) (2023) - [j4]Ying Wang, Pengfei Zhao, Hongkai Du, Yingxin Cao, Qinke Peng
LncDLSM: Identification of Long Non-Coding RNAs With Deep Learning-Based Sequence Model. IEEE J. Biomed. Health Informatics 27(4): 2117-2127 (2023) - [j3]Zhiwei Ning
BertNDA: A Model Based on Graph-Bert and Multi-Scale Information Fusion for ncRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 27(11): 5655-5664 (2023) - 2022
- [c1]Ying Wang, Xiaodong Ren, Zhou Jing, Meilan Liu, Qinke Peng, Laiyi Fu:
Design and Application of a Non-wrapped Programmable Logic Controller (PLC) Laboratory Kit for Automatic Control Education. ITHET 2022: 1-6 - 2021
- [j2]Yingxin Cao, Laiyi Fu
SAILER: scalable and accurate invariant representation learning for single-cell ATAC-seq processing and integration. Bioinform. 37(Supplement): 317-326 (2021) - 2020
- [j1]Laiyi Fu
Predicting DNA Methylation States with Hybrid Information Based Deep-Learning Model. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1721-1728 (2020)
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