Yifeng Li - RankMe

57 papers A* 1B 10C 6Journal 23Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Aligning Language Models Using Multi-Objective Deep Reinforcement Learning. Canadian AI Yage Zhang, Xiaodan Zhu, Yifeng Li
2025	—	`conf`	SMORE-DRL: Scalable Multi-Objective Robust and Efficient Deep Reinforcement Learning for Molecular Optimization. BIBM Aws Al Jumaily, Nicholas Aksamit, Yage Zhang, Mohammad Sajjad Ghaemi, Jinqiang Hou, Hsu Kiang Ooi, Yifeng Li
2024	J	`jnl`	Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery. BMC Bioinform. Nicholas Aksamit, Alain Tchagang, Yifeng Li, Beatrice M. Ombuki-Berman
2024	J	`jnl`	Integrating transformers and many-objective optimization for drug design. BMC Bioinform. Nicholas Aksamit, Jinqiang Hou, Yifeng Li, Beatrice M. Ombuki-Berman
2023	J	`jnl`	Examining multi-objective deep reinforcement learning frameworks for molecular design. Biosyst. Aws Al Jumaily, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li
2022	J	`jnl`	Adversarial deep evolutionary learning for drug design. Biosyst. Sheriff Abouchekeir, Andrew Vu, Muhetaer Mukaidaisi, Karl Grantham, Alain B. Tchagang, Yifeng Li
2022	J	`jnl`	Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction. Appl. Soft Comput. Wenpeng Lu, Pengyu Zhao, Yifeng Li, Shoujin Wang, Heyan Huang, Shumin Shi, Hao Wu
2022	B	`conf`	Correlation Encoder-Decoder Model for Text Generation. IJCNN Xu Zhang, Yifeng Li, Xueping Peng, Xinxiao Qiao, Hui Zhang, Wenpeng Lu
2022	J	`jnl`	Deep Evolutionary Learning for Molecular Design. IEEE Comput. Intell. Mag. Karl Grantham, Muhetaer Mukaidaisi, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Alain B. Tchagang, Yifeng Li
2022	C	`conf`	Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug Design. CIBCB Aws Al Jumaily, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li
2022	—	`conf`	Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge. Canadian AI Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi
2022	J	`jnl`	Generative Enriched Sequential Learning (ESL) Approach for Molecular Design via Augmented Domain Knowledge. CoRR Mohammad Sajjad Ghaemi, Karl Grantham, Isaac Tamblyn, Yifeng Li, Hsu Kiang Ooi
2022	—	`conf`	Lifetime Learning-enabled Modelling Framework for Digital Twin. CASE Chunsheng Yang, Rahatara Ferdousi, Abdulmotaleb El Saddik, Yifeng Li, Zheng Liu, Min Liao
2022	C	`conf`	Transfer Learning-enabled Modelling Framework for Digital Twin. CSCWD Chunsheng Yang, Yifeng Li, Yubin Yang, Zheng Liu, Min Liao
2022	J	`jnl`	Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing. CoRR Rui Yu, Yifeng Li, Wenpeng Lu, Longbing Cao
2021	C	`conf`	Adversarial Deep Evolutionary Learning for Drug Design. CIBCB Sheriff Abouchekeir, Alain B. Tchagang, Yifeng Li
2021	B	`conf`	Chinese Semantic Matching with Multi-granularity Alignment and Feature Fusion. IJCNN Pengyu Zhao, Wenpeng Lu, Yifeng Li, Jiguo Yu, Ping Jian, Xu Zhang
2021	J	`jnl`	Deep Evolutionary Learning for Molecular Design. CoRR Yifeng Li, Hsu Kiang Ooi, Alain B. Tchagang
2021	B	`conf`	Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation. IJCNN Rui Yu, Wenpeng Lu, Yifeng Li, Jiguo Yu, Guoqiang Zhang, Xu Zhang
2020	B	`conf`	Anomaly Detection Based on Unsupervised Disentangled Representation Learning in Combination with Manifold Learning. IJCNN Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li
2020	B	`conf`	Capsule Deep Generative Model That Forms Parse Trees. IJCNN Yifeng Li, Xiaodan Zhu, Richard Naud, Pengcheng Xi
2020	—	`conf`	Exploring Deep Anomaly Detection Methods Based on Capsule Net. Canadian AI Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li
2020	B	`conf`	Intra-Correlation Encoding for Chinese Sentence Intention Matching. COLING Xu Zhang, Yifeng Li, Wenpeng Lu, Ping Jian, Guoqiang Zhang
2019	—	`conf`	Capsule Generative Models. ICANN (1) Yifeng Li, Xiaodan Zhu
2019	J	`jnl`	Exploring Deep Anomaly Detection Methods Based on Capsule Net. CoRR Xiaoyan Li, Iluju Kiringa, Tet Hin Yeap, Xiaodan Zhu, Yifeng Li
2019	J	`jnl`	Multiclass Nonnegative Matrix Factorization for Comprehensive Feature Pattern Discovery. IEEE Trans. Neural Networks Learn. Syst. Yifeng Li, Youlian Pan, Ziying Liu
2019	J	`jnl`	Personalized prediction of genes with tumor-causing somatic mutations based on multi-modal deep Boltzmann machine. Neurocomputing Yifeng Li, François Fauteux, Jinfeng Zou, André Nantel, Youlian Pan
2018	J	`jnl`	A review on machine learning principles for multi-view biological data integration. Briefings Bioinform. Yifeng Li, Fang-Xiang Wu, Alioune Ngom
2018	B	`conf`	Exponential Family Restricted Boltzmann Machines and Annealed Importance Sampling. IJCNN Yifeng Li, Xiaodan Zhu
2018	J	`jnl`	Genome-wide prediction of cis-regulatory regions using supervised deep learning methods. BMC Bioinform. Yifeng Li, Wenqiang Shi, Wyeth W. Wasserman
2016	J	`jnl`	Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters. J. Comput. Biol. Yifeng Li, Chih-Yu Chen, Wyeth W. Wasserman
2016	J	`jnl`	The Max-Min High-Order Dynamic Bayesian Network for Learning Gene Regulatory Networks with Time-Delayed Regulations. IEEE ACM Trans. Comput. Biol. Bioinform. Yifeng Li, Haifen Chen, Jie Zheng, Alioune Ngom
2015	—	`conf`	Data integration in machine learning. BIBM Yifeng Li, Alioune Ngom
2015	B	`conf`	Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters. RECOMB Yifeng Li, Chih-Yu Chen, Wyeth W. Wasserman
2015	J	`jnl`	Pattern classification using a new border identification paradigm: The nearest border technique. Neurocomputing Yifeng Li, B. John Oommen, Alioune Ngom, Luis Rueda
2015	J	`jnl`	The identification of cis-regulatory elements: A review from a machine learning perspective. Biosyst. Yifeng Li, Chih-Yu Chen, Alice Mary Kaye, Wyeth W. Wasserman
2014	B	`conf`	A decomposition method for large-scale sparse coding in representation learning. IJCNN Yifeng Li, Richard J. Caron, Alioune Ngom
2014	J	`jnl`	Versatile sparse matrix factorization: Theory and applications. Neurocomputing Yifeng Li, Alioune Ngom
2013	—	`conf`	A New Paradigm for Pattern Classification: Nearest Border Techniques. Australasian Conference on Artificial Intelligence Yifeng Li, B. John Oommen, Alioune Ngom, Luis Rueda
2013	J	`jnl`	Classification approach based on non-negative least squares. Neurocomputing Yifeng Li, Alioune Ngom
2013	—	`conf`	Identifying Informative Genes for Prediction of Breast Cancer Subtypes. PRIB Iman Rezaeian, Yifeng Li, Martin Crozier, Eran Andrechek, Alioune Ngom, Luis Rueda, Lisa A. Porter
2013	J	`jnl`	Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data. IEEE ACM Trans. Comput. Biol. Bioinform. Yifeng Li, Alioune Ngom
2013	J	`jnl`	Sparse representation approaches for the classification of high-dimensional biological data. BMC Syst. Biol. Yifeng Li, Alioune Ngom
2013	C	`conf`	The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data. CIBCB Yifeng Li, Alioune Ngom
2013	J	`jnl`	The non-negative matrix factorization toolbox for biological data mining. Source Code Biol. Medicine Yifeng Li, Alioune Ngom
2013	—	`conf`	Versatile Sparse Matrix Factorization and Its Applications in High-Dimensional Biological Data Analysis. PRIB Yifeng Li, Alioune Ngom
2012	—	`conf`	A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm. PRIB Yifeng Li, Alioune Ngom, Luis Rueda
2012	C	`conf`	A new Kernel non-negative matrix factorization and its application in microarray data analysis. CIBCB Yifeng Li, Alioune Ngom
2012	—	`conf`	Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine. PRIB Yifeng Li, Alioune Ngom
2012	A*	`conf`	Fast Kernel Sparse Representation Approaches for Classification. ICDM Yifeng Li, Alioune Ngom
2012	—	`conf`	Fast sparse representation approaches for the classification of high-dimensional biological data. BIBM Yifeng Li, Alioune Ngom
2012	—	`conf`	Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification. ICMLA (1) Yifeng Li, Alioune Ngom
2010	B	`conf`	Alignment versus variation methods for clustering microarray time-series data. IEEE Congress on Evolutionary Computation Numanul Subhani, Yifeng Li, Alioune Ngom, Luis Rueda
2010	—	`conf`	Alignment-based versus variation-based transformation methods for clustering microarray time-series data. BCB Yifeng Li, Numanul Subhani, Alioune Ngom, Luis Rueda
2010	—	`conf`	Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods. CIBB Yifeng Li, Alioune Ngom
2010	C	`conf`	Missing value imputation methods for gene-sample-time microarray data analysis. CIBCB Yifeng Li, Alioune Ngom, Luis Rueda
2010	—	`conf`	Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data. BIBM Yifeng Li, Alioune Ngom