Yu Li
Orcid: 0000-0002-3664-6722Affiliations:
- Chinese University of Hong Kong, Department of Computer Science and Engineering, China
- King Abdullah University of Science and Technology, Thuwal, Saudi Arabia (former)
According to our database1,
Yu Li
authored at least 43 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model.
Nat. Comput. Sci., 2024
2023
Con-AAE: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration.
Bioinform., April, 2023
Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model.
CoRR, 2023
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation.
CoRR, 2023
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning.
CoRR, 2023
2022
DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.
Genom. Proteom. Bioinform., 2022
E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction.
CoRR, 2022
Bioinform., 2022
Briefings Bioinform., 2022
Self-supervised contrastive learning for integrative single cell RNA-seq data analysis.
Briefings Bioinform., 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the Research in Computational Molecular Biology, 2022
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
ReFeaFi: Genome-wide prediction of regulatory elements driving transcription initiation.
PLoS Comput. Biol., 2021
DeepCellState: An autoencoder-based framework for predicting cell type specific transcriptional states induced by drug treatment.
PLoS Comput. Biol., 2021
Contrastive Cycle Adversarial Autoencoders for Single-cell Multi-omics Alignment and Integration.
CoRR, 2021
HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides.
CoRR, 2021
Bioinform., 2021
Proceedings of the 2021 IEEE International Conference on Engineering, 2021
2020
DeepSimulator1.5: a more powerful, quicker and lighter simulator for Nanopore sequencing.
Bioinform., 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era.
CoRR, 2019
Bioinform., 2019
Bioinform., 2019
Promoter analysis and prediction in the human genome using sequence-based deep learning models.
Bioinform., 2019
AuTom-dualx: a toolkit for fully automatic fiducial marker-based alignment of dual-axis tilt series with simultaneous reconstruction.
Bioinform., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
SupportNet: solving catastrophic forgetting in class incremental learning with support data.
CoRR, 2018
DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy.
Bioinform., 2018
Bioinform., 2018
An accurate and rapid continuous wavelet dynamic time warping algorithm for end-to-end mapping in ultra-long nanopore sequencing.
Bioinform., 2018
2017
Sequence2Vec: a novel embedding approach for modeling transcription factor binding affinity landscape.
Bioinform., 2017