Alignment-based versus variation-based transformation methods for clustering microarray time-series data. - Yifeng Li 001; Numanul Subhani; Alioune Ngom; Luis Rueda 001 (BCB, 2010)

Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data. - Yifeng Li 001; Alioune Ngom (BIBM, 2010)

Alignment versus variation methods for clustering microarray time-series data. - Numanul Subhani; Yifeng Li 001; Alioune Ngom; Luis Rueda 001 (IEEE Congress on Evolutionary Computation, 2010)

Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods. - Yifeng Li 001; Alioune Ngom (CIBB, 2010)

Missing value imputation methods for gene-sample-time microarray data analysis. - Yifeng Li 001; Alioune Ngom; Luis Rueda 001 (CIBCB, 2010)

Fast sparse representation approaches for the classification of high-dimensional biological data. - Yifeng Li 001; Alioune Ngom (BIBM, 2012)

A new Kernel non-negative matrix factorization and its application in microarray data analysis. - Yifeng Li 001; Alioune Ngom (CIBCB, 2012)

Fast Kernel Sparse Representation Approaches for Classification. - Yifeng Li 001; Alioune Ngom (ICDM, 2012)

Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification. - Yifeng Li 001; Alioune Ngom (ICMLA (1), 2012)

Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine. - Yifeng Li 001; Alioune Ngom (PRIB, 2012)

A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm. - Yifeng Li 001; Alioune Ngom; Luis Rueda 001 (PRIB, 2012)

A New Paradigm for Pattern Classification: Nearest Border Techniques. - Yifeng Li 001; B. John Oommen; Alioune Ngom; Luis Rueda 001 (Australasian Conference on Artificial Intelligence, 2013)

The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data. - Yifeng Li 001; Alioune Ngom (CIBCB, 2013)

Versatile Sparse Matrix Factorization and Its Applications in High-Dimensional Biological Data Analysis. - Yifeng Li 001; Alioune Ngom (PRIB, 2013)

Identifying Informative Genes for Prediction of Breast Cancer Subtypes. - Iman Rezaeian; Yifeng Li 001; Martin Crozier; Eran Andrechek; Alioune Ngom; Luis Rueda 001; Lisa A. Porter (PRIB, 2013)

Sparse representation approaches for the classification of high-dimensional biological data. - Yifeng Li 001; Alioune Ngom (BMC Syst. Biol., 2013)

Classification approach based on non-negative least squares. - Yifeng Li 001; Alioune Ngom (Neurocomputing, 2013)

The non-negative matrix factorization toolbox for biological data mining. - Yifeng Li 001; Alioune Ngom (Source Code Biol. Medicine, 2013)

Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data. - Yifeng Li 001; Alioune Ngom (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

A decomposition method for large-scale sparse coding in representation learning. - Yifeng Li 001; Richard J. Caron; Alioune Ngom (IJCNN, 2014)

Versatile sparse matrix factorization: Theory and applications. - Yifeng Li 001; Alioune Ngom (Neurocomputing, 2014)

Data integration in machine learning. - Yifeng Li 001; Alioune Ngom (BIBM, 2015)

The identification of cis-regulatory elements: A review from a machine learning perspective. - Yifeng Li 001; Chih-Yu Chen; Alice Mary Kaye; Wyeth W. Wasserman (Biosyst., 2015)

Pattern classification using a new border identification paradigm: The nearest border technique. - Yifeng Li 001; B. John Oommen; Alioune Ngom; Luis Rueda 001 (Neurocomputing, 2015)

Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters. - Yifeng Li 001; Chih-Yu Chen; Wyeth W. Wasserman (J. Comput. Biol., 2016)

The Max-Min High-Order Dynamic Bayesian Network for Learning Gene Regulatory Networks with Time-Delayed Regulations. - Yifeng Li 001; Haifen Chen; Jie Zheng 002; Alioune Ngom (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling. - Yifeng Li 001; Xiaodan Zhu 001 (IJCNN, 2018)

A review on machine learning principles for multi-view biological data integration. - Yifeng Li 001; Fang-Xiang Wu; Alioune Ngom (Briefings Bioinform., 2018)

Genome-wide prediction of cis-regulatory regions using supervised deep learning methods. - Yifeng Li 001; Wenqiang Shi; Wyeth W. Wasserman (BMC Bioinform., 2018)

Capsule Generative Models. - Yifeng Li 001; Xiaodan Zhu 001 (ICANN (1), 2019)

Personalized prediction of genes with tumor-causing somatic mutations based on multi-modal deep Boltzmann machine. - Yifeng Li 001; François Fauteux; Jinfeng Zou; André Nantel; Youlian Pan (Neurocomputing, 2019)

Multiclass Nonnegative Matrix Factorization for Comprehensive Feature Pattern Discovery. - Yifeng Li 001; Youlian Pan; Ziying Liu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Exploring Deep Anomaly Detection Methods Based on Capsule Net. - Xiaoyan Li; Iluju Kiringa; Tet Hin Yeap; Xiaodan Zhu 001; Yifeng Li 001 (Canadian AI, 2020)

Intra-Correlation Encoding for Chinese Sentence Intention Matching. - Xu Zhang 053; Yifeng Li 001; Wenpeng Lu; Ping Jian; Guoqiang Zhang 003 (COLING, 2020)

Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning. - Xiaoyan Li; Iluju Kiringa; Tet Hin Yeap; Xiaodan Zhu 001; Yifeng Li 001 (IJCNN, 2020)

Capsule Deep Generative Model That Forms Parse Trees. - Yifeng Li 001; Xiaodan Zhu 001; Richard Naud; Pengcheng Xi (IJCNN, 2020)

Adversarial Deep Evolutionary Learning for Drug Design. - Sheriff Abouchekeir; Alain B. Tchagang; Yifeng Li 001 (CIBCB, 2021)

Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation. - Rui Yu 005; Wenpeng Lu; Yifeng Li 001; Jiguo Yu; Guoqiang Zhang 003; Xu Zhang 053 (IJCNN, 2021)

Chinese Semantic Matching with Multi-granularity Alignment and Feature Fusion. - Pengyu Zhao; Wenpeng Lu; Yifeng Li 001; Jiguo Yu; Ping Jian; Xu Zhang 053 (IJCNN, 2021)

Deep Evolutionary Learning for Molecular Design. - Yifeng Li 001; Hsu Kiang Ooi; Alain B. Tchagang (CoRR, 2021)

Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge. - Mohammad Sajjad Ghaemi; Karl Grantham; Isaac Tamblyn; Yifeng Li 001; Hsu Kiang Ooi (Canadian AI, 2022)

Lifetime Learning-enabled Modelling Framework for Digital Twin. - Chunsheng Yang; Rahatara Ferdousi; Abdulmotaleb El-Saddik; Yifeng Li 001; Zheng Liu 002; Min Liao (CASE, 2022)

Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug Design. - Aws Al Jumaily; Muhetaer Mukaidaisi; Andrew Vu; Alain B. Tchagang; Yifeng Li 001 (CIBCB, 2022)

Transfer Learning-enabled Modelling Framework for Digital Twin. - Chunsheng Yang; Yifeng Li 001; Yubin Yang; Zheng Liu 002; Min Liao (CSCWD, 2022)

Correlation Encoder-Decoder Model for Text Generation. - Xu Zhang 053; Yifeng Li 001; Xueping Peng; Xinxiao Qiao; Hui Zhang; Wenpeng Lu (IJCNN, 2022)

Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction. - Wenpeng Lu; Pengyu Zhao; Yifeng Li 001; Shoujin Wang; Heyan Huang; Shumin Shi; Hao Wu 066 (Appl. Soft Comput., 2022)

Adversarial deep evolutionary learning for drug design. - Sheriff Abouchekeir; Andrew Vu; Muhetaer Mukaidaisi; Karl Grantham; Alain B. Tchagang; Yifeng Li 001 (Biosyst., 2022)

Deep Evolutionary Learning for Molecular Design. - Karl Grantham; Muhetaer Mukaidaisi; Hsu Kiang Ooi; Mohammad Sajjad Ghaemi; Alain B. Tchagang; Yifeng Li 001 (IEEE Comput. Intell. Mag., 2022)

Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing. - Rui Yu 005; Yifeng Li 001; Wenpeng Lu; Longbing Cao (CoRR, 2022)

Examining multi-objective deep reinforcement learning frameworks for molecular design. - Aws Al Jumaily; Muhetaer Mukaidaisi; Andrew Vu; Alain B. Tchagang; Yifeng Li 001 (Biosyst., 2023)

Aligning Language Models Using Multi-Objective Deep Reinforcement Learning. - Yage Zhang; Xiaodan Zhu 001; Yifeng Li 001 (Canadian AI, 2025)