Yue Li - RankMe

41 papers A* 2B 1Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Disentangling Shared and Target-Enriched Topics via Background-Contrastive Non-negative Matrix Factorization. CoRR Yixuan Li, Archer Y. Yang, Yue Li
2025	—	`conf`	A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning. KDD (2) Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li, Yue Li
2025	J	`jnl`	ConvNTC: convolutional neural tensor completion for detecting "A-A-B" type biological triplets. Briefings Bioinform. Pei Liu, Xiao Liang, Yue Li, Jiawei Luo
2025	J	`jnl`	FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting. npj Digit. Medicine He Zhu, Jun Bai, Na Li, Xiaoxiao Li, Dianbo Liu, David L. Buckeridge, Yue Li
2025	J	`jnl`	SpaTM: topic models for inferring spatially informed transcriptional programs. Briefings Bioinform. Adrien Osakwe, Wenqi Dong, Qihuang Zhang, Robert Sladek, Yue Li
2025	J	`jnl`	Sparse polygenic risk score inference with the spike-and-slab LASSO. Bioinform. Junyi Song, Shadi Zabad, Archer Yang, Simon Gravel, Yue Li
2025	J	`jnl`	Timelygpt: extrapolatable transformer pre-training for long-term time-series forecasting in healthcare. Health Inf. Sci. Syst. Ziyang Song, Qincheng Lu, Hao Xu, Ziqi Yang, He Zhu, David L. Buckeridge, Yue Li
2024	—	`conf`	Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning. MLHC Ziyang Song, Qincheng Lu, He Zhu, David L. Buckeridge, Yue Li
2024	A*	`conf`	Cell ontology guided transcriptome foundation model. NeurIPS Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
2024	J	`jnl`	Cell-ontology guided transcriptome foundation model. CoRR Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
2024	B	`conf`	GFETM: Genome Foundation-Based Embedded Topic Model for scATAC-seq Modeling. RECOMB Yimin Fan, Yu Li, Jun Ding, Yue Li
2024	—	`conf`	MiRGraph: A hybrid deep learning approach to identify microRNA-target interactions by integrating heterogeneous regulatory network and genomic sequences. BIBM Pei Liu, Ying Liu, Jiawei Luo, Yue Li
2024	—	`conf`	MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling. BCB Ruohan Wang, Zilong Wang, Ziyang Song, David L. Buckeridge, Yue Li
2024	J	`jnl`	MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling. CoRR Ruohan Wang, Zilong Wang, Ziyang Song, David L. Buckeridge, Yue Li
2024	J	`jnl`	MixEHR-SurG: A joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records. J. Biomed. Informatics Yixuan Li, Archer Y. Yang, Ariane Marelli, Yue Li
2024	J	`jnl`	SharePro: an accurate and efficient genetic colocalization method accounting for multiple causal signals. Bioinform. Wenmin Zhang, Tianyuan Lu, Robert Sladek, Yue Li, Hamed S. Najafabadi, Josée Dupuis
2024	—	`conf`	TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare. BCB Ziyang Song, Qincheng Lu, Hao Xu, He Zhu, David L. Buckeridge, Yue Li
2024	J	`jnl`	TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis. CoRR Ziyang Song, Qingcheng Lu, He Zhu, David L. Buckeridge, Yue Li
2024	J	`jnl`	hART: Deep learning-informed lifespan heart failure risk trajectories. Int. J. Medical Informatics Harry Moroz, Yue Li, Ariane Marelli
2024	—	`conf`	scMoE: single-cell mixture of experts for learning hierarchical, cell-type-specific, and interpretable representations from heterogeneous scRNA-seq data. BCB Michael Huang, Yue Li
2023	J	`jnl`	MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health records. CoRR Yixuan Li, Ariane Marelli, Archer Y. Yang, Yue Li
2022	A*	`conf`	Automatic Phenotyping by a Seed-guided Topic Model. KDD Ziyang Song, Yuanyi Hu, Aman Verma, David L. Buckeridge, Yue Li
2022	J	`jnl`	Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19. Patterns Zhi Wen, Guido Powell, Imane Chafi, David L. Buckeridge, Yue Li
2022	J	`jnl`	MixEHR-Guided: A guided multi-modal topic modeling approach for large-scale automatic phenotyping using the electronic health record. J. Biomed. Informatics Yuri Ahuja, Yuesong Zou, Aman Verma, David L. Buckeridge, Yue Li
2022	J	`jnl`	Modeling electronic health record data using a knowledge-graph-embedded topic model. CoRR Yuesong Zou, Ahmad Pesaranghader, Aman Verma, David L. Buckeridge, Yue Li
2021	J	`jnl`	Deep feature extraction of single-cell transcriptomes by generative adversarial network. Bioinform. Mojtaba Bahrami, Malosree Maitra, Corina Nagy, Gustavo Turecki, Hamid R. Rabiee, Yue Li
2021	—	`conf`	Supervised multi-specialist topic model with applications on large-scale electronic health record data. BCB Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David L. Buckeridge, Ariane Marelli, Yue Li
2021	J	`jnl`	Supervised multi-specialist topic model with applications on large-scale electronic health record data. CoRR Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David L. Buckeridge, Ariane Marelli, Yue Li
2020	—	`conf`	Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model. BCB Yue Li, Pratheeksha Nair, Zhi Wen, Imane Chafi, Anya Okhmatovskaia, Guido Powell, Yannan Shen, David L. Buckeridge
2017	J	`jnl`	Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data. IEEE Trans. Cybern. Ka-Chun Wong, Chengbin Peng, Yue Li
2016	J	`jnl`	A Comparison Study for DNA Motif Modeling on Protein Binding Microarray. IEEE ACM Trans. Comput. Biol. Bioinform. Ka-Chun Wong, Yue Li, Chengbin Peng, Hau-San Wong
2016	J	`jnl`	A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Liang, Yue Li, Jiawei Luo
2016	J	`jnl`	Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells. Bioinform. Ka-Chun Wong, Yue Li, Chengbin Peng
2015	J	`jnl`	A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human. Bioinform. Cheng Liang, Yue Li, Jiawei Luo, Zhaolei Zhang
2015	—	`—`	Computational Methods of Inferring Context-specific MicroRNA Regulatory Networks. Yue Li
2015	J	`jnl`	Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. Ka-Chun Wong, Chengbin Peng, Yue Li
2015	J	`jnl`	SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles. Bioinform. Ka-Chun Wong, Yue Li, Chengbin Peng, Zhaolei Zhang
2014	J	`jnl`	A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information. Bioinform. Yue Li, Anna Goldenberg, Ka-Chun Wong, Zhaolei Zhang
2014	J	`jnl`	Herd Clustering: A synergistic data clustering approach using collective intelligence. Appl. Soft Comput. Ka-Chun Wong, Chengbin Peng, Yue Li, Tak-Ming Chan
2014	J	`jnl`	Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinform. Yue Li, Cheng Liang, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang
2014	J	`jnl`	Regression Analysis of Combined Gene Expression Regulation in Acute Myeloid Leukemia. PLoS Comput. Biol. Yue Li, Minggao Liang, Zhaolei Zhang