Yifeng Li
Orcid: 0000-0002-4873-6928Affiliations:
- Brock University, Department of Computer Science / Department of Biological Sciences, St. Catharines, ON, Canada
- University of Windsor, School of Computer Science, ON, Canada
- National Research Council Canada, Ottawa, ON, Canada (2015 - 2019)
- University of Windsor, School of Computer Science, ON, Canada (PhD 2013)
According to our database1,
Yifeng Li
authored at least 50 papers
between 2010 and 2023.
Collaborative distances:
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Bibliography
2023
Examining multi-objective deep reinforcement learning frameworks for molecular design.
Biosyst., October, 2023
2022
Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing.
CoRR, 2022
Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction.
Appl. Soft Comput., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021
2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
2019
Multiclass Nonnegative Matrix Factorization for Comprehensive Feature Pattern Discovery.
IEEE Trans. Neural Networks Learn. Syst., 2019
Personalized prediction of genes with tumor-causing somatic mutations based on multi-modal deep Boltzmann machine.
Neurocomputing, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
2018
Genome-wide prediction of cis-regulatory regions using supervised deep learning methods.
BMC Bioinform., 2018
Briefings Bioinform., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2016
The Max-Min High-Order Dynamic Bayesian Network for Learning Gene Regulatory Networks with Time-Delayed Regulations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
J. Comput. Biol., 2016
2015
Pattern classification using a new border identification paradigm: The nearest border technique.
Neurocomputing, 2015
The identification of cis-regulatory elements: A review from a machine learning perspective.
Biosyst., 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013
Source Code Biol. Medicine, 2013
Sparse representation approaches for the classification of high-dimensional biological data.
BMC Syst. Biol., 2013
Proceedings of the Pattern Recognition in Bioinformatics, 2013
Versatile Sparse Matrix Factorization and Its Applications in High-Dimensional Biological Data Analysis.
Proceedings of the Pattern Recognition in Bioinformatics, 2013
The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013
2012
Proceedings of the Pattern Recognition in Bioinformatics, 2012
Proceedings of the Pattern Recognition in Bioinformatics, 2012
Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
A new Kernel non-negative matrix factorization and its application in microarray data analysis.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
Fast sparse representation approaches for the classification of high-dimensional biological data.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2010
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
Alignment-based versus variation-based transformation methods for clustering microarray time-series data.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010