Li, Yu

Deep learning in bioinformatics: Introduction, application, and perspective in the big data era

Li, Y., Huang, C., Ding, L., Li, Z., Pan, Y., & Gao, X. (2019) · Methods

Machine Learning in BioinformaticsGenomics and Phylogenetic Studies

Cited by 401

Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions

Chen, J., Hu, Z., Sun, S., Tan, Q., Wang, Y., Yu, Q., Zong, L., Hong, L., Xiao, J., Shen, T., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory)

RNA and protein synthesis mechanismsRNA Research and Splicing

Cited by 247

DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning

Li, Z., Li, Y., Zhang, B., Li, Y., Long, Y., Zhou, J., Zou, X., Zhang, M., Hu, Y., Chen, W., et al. (2022) · Genomics, Proteomics & Bioinformatics

RNA Research and SplicingGenomics and Phylogenetic Studies

Cited by 37

On the Decision Boundary of Deep Neural Networks

Li, Y., Ding, L., & Gao, X. (2018) · arXiv

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 31

Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery

Chen, Z., Lu, L., Yuan, Z., Zhu, Y., Li, Y., Yuan, C., & Deng, W. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Image Processing TechniquesFace recognition and analysis

Cited by 3

Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models

Jiang, J., Truong, A. K. Y., Chen, Y., Bao, Q., Wang, S., Chen, P., Wang, J., Kong, L., Li, Y., & Wu, C. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingNatural Language Processing Techniques

Cited by 1