Yue Li
Orcid: 0000-0002-1163-3634Affiliations:
- McGill University, School of Computer Science, Montreal, QC, Canada
- Mila - Québec AI Institute, Montreal, QC, Canada
- Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Boston, MA, USA (2015 - 2018)
- University of Toronto, Department of Computer Science,, Toronto, Canada (PhD 2014)
According to our database1,
Yue Li authored at least 40 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on cs.mcgill.ca
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2026
IEEE J. Biomed. Health Informatics, May, 2026
Disentangling Shared and Target-Enriched Topics via Background-Contrastive Non-negative Matrix Factorization.
CoRR, February, 2026
2025
Timelygpt: extrapolatable transformer pre-training for long-term time-series forecasting in healthcare.
Health Inf. Sci. Syst., December, 2025
ConvNTC: convolutional neural tensor completion for detecting "A-A-B" type biological triplets.
Briefings Bioinform., July, 2025
FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting.
npj Digit. Medicine, 2025
Bioinform., 2025
Briefings Bioinform., 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
2024
MixEHR-SurG: A joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records.
J. Biomed. Informatics, 2024
Int. J. Medical Informatics, 2024
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis.
CoRR, 2024
SharePro: an accurate and efficient genetic colocalization method accounting for multiple causal signals.
Bioinform., 2024
Proceedings of the Research in Computational Molecular Biology, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning.
Proceedings of the Machine Learning for Healthcare Conference, 2024
MiRGraph: A hybrid deep learning approach to identify microRNA-target interactions by integrating heterogeneous regulatory network and genomic sequences.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
scMoE: single-cell mixture of experts for learning hierarchical, cell-type-specific, and interpretable representations from heterogeneous scRNA-seq data.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
2022
Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19.
Patterns, 2022
MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record.
J. Biomed. Informatics, 2022
CoRR, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Deep feature extraction of single-cell transcriptomes by generative adversarial network.
Bioinform., 2021
Supervised multi-specialist topic model with applications on large-scale electronic health record data.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2017
Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data.
IEEE Trans. Cybern., 2017
2016
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells.
Bioinform., 2016
2015
PhD thesis, 2015
Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles.
Bioinform., 2015
A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human.
Bioinform., 2015
2014
Regression Analysis of Combined Gene Expression Regulation in Acute Myeloid Leukemia.
PLoS Comput. Biol., 2014
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion.
Bioinform., 2014
A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information.
Bioinform., 2014
Herd Clustering: A synergistic data clustering approach using collective intelligence.
Appl. Soft Comput., 2014