A distributed system for fast alignment of next-generation sequencing data. - Jaydeep K. Srimani; Po-Yen Wu; John H. Phan; May D. Wang (BIBM Workshops, 2010)

Evaluation of normalization methods for RNA-Seq gene expression estimation. - Po-Yen Wu; John H. Phan; Fengfeng Zhou; May D. Wang (BIBM Workshops, 2011)

Exploring the feasibility of next-generation sequencing and microarray data meta-analysis. - Po-Yen Wu; John H. Phan; May D. Wang (EMBC, 2011)

HSQL: A Highly Scalable Cloud Database for Multi-user Query Processing. - Chao-Rui Chang; Meng-Ju Hsieh; Jan-Jan Wu; Po-Yen Wu; Pangfeng Liu (IEEE CLOUD, 2012)

The effect of human genome annotation complexity on RNA-Seq gene expression quantification. - Po-Yen Wu; John H. Phan; May D. Wang (BIBM Workshops, 2012)

Improving the flexibility of RNA-Seq data analysis pipelines. - John H. Phan; Po-Yen Wu; May D. Wang (GENSiPS, 2012)

Systematic Assessment of RNA-Seq Quantification Tools Using Simulated Sequence Data. - Raghu Chandramohan; Po-Yen Wu; John H. Phan; May D. Wang (BCB, 2013)

Benchmarking RNA-Seq quantification tools. - Raghu Chandramohan; Po-Yen Wu; John H. Phan; May D. Wang (EMBC, 2013)

An approach for assessing RNA-seq quantification algorithms in replication studies. - Po-Yen Wu; John H. Phan; May D. Wang (GENSiPS, 2013)

Assessing the impact of human genome annotation choice on RNA-seq expression estimates. - Po-Yen Wu; John H. Phan; May D. Wang (BMC Bioinform., 2013)

The impact of RNA-seq alignment pipeline on detection of differentially expressed genes. - Cheng Yang 001; Po-Yen Wu; John H. Phan; May D. Wang (GlobalSIP, 2014)

The impact of RNA-seq aligners on gene expression estimation. - Cheng Yang 001; Po-Yen Wu; Li Tong 001; John H. Phan; May D. Wang (BCB, 2015)

A Review of Emerging Technologies for the Management of Diabetes Mellitus. - Konstantia Zarkogianni; Eleni Litsa; Konstantinos Mitsis; Po-Yen Wu; Chanchala D. Kaddi; Chihwen Cheng; May D. Wang; Konstantina S. Nikita (IEEE Trans. Biomed. Eng., 2015)

Integration of multi-modal biomedical data to predict cancer grade and patient survival. - John H. Phan; Ryan Hoffman; Sonal Kothari; Po-Yen Wu; May D. Wang (BHI, 2016)

Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls. - Li Tong 001; Cheng Yang 001; Po-Yen Wu; May D. Wang (BHI, 2016)

The selection of quantification pipelines for Illumina RNA-seq data using a subsampling approach. - Po-Yen Wu; May D. Wang (BHI, 2016)

-Omic and Electronic Health Record Big Data Analytics for Precision Medicine. - Po-Yen Wu; Chihwen Cheng; Chanchala D. Kaddi; Janani Venugopalan; Ryan Hoffman; May D. Wang (IEEE Trans. Biomed. Eng., 2017)

Versatile Communication Optimization for Deep Learning by Modularized Parameter Server. - Po-Yen Wu; Pangfeng Liu; Jan-Jan Wu (IEEE BigData, 2018)

Prolonging Tool Life: Learning Skillful Use of General-purpose Tools through Lifespan-guided Reinforcement Learning. - Po-Yen Wu; Cheng-Yu Kuo; Yuki Kadokawa; Takamitsu Matsubara (CoRR, 2025)