PROTINFO: secondary and tertiary protein structure prediction. - Ling-Hong Hung; Ram Samudrala (Nucleic Acids Res., 2003)

PROTINFO: new algorithms for enhanced protein structure predictions. - Ling-Hong Hung; Shing-Chung Ngan; Tianyun Liu; Ram Samudrala (Nucleic Acids Res., 2005)

Accelerated protein structure comparison using TM-score-GPU. - Ling-Hong Hung; Ram Samudrala (Bioinform., 2012)

fast_protein_cluster: parallel and optimized clustering of large-scale protein modeling data. - Ling-Hong Hung; Ram Samudrala (Bioinform., 2014)

Predicting discontinuation of docetaxel treatment for metastatic castration-resistant prostate cancer (mCRPC) with random forest. - Daniel Kristiyanto; Kevin E. Anderson; Ling-Hong Hung; Ka Yee Yeung (F1000Research, 2016)

Integration of Multiple Data Sources for Gene Network Inference using Genetic Perturbation Data: Extended Abstract. - Xiao Liang; William Chad Young; Ling-Hong Hung; Adrian E. Raftery; Ka Yee Yeung (BCB, 2018)

Using BioDepot-workflow-Builder to Create and Execute Reproducible Bioinformatics Workflows. - Ka Yee Yeung; Ling-Hong Hung; Wes Lloyd (BCB, 2018)

Modeling multi-valued biological interaction networks using fuzzy answer set programming. - Mushthofa Mushthofa; Steven Schockaert; Ling-Hong Hung; Kathleen Marchal; Martine De Cock (Fuzzy Sets Syst., 2018)

Reproducible Bioconductor workflows using browser-based interactive notebooks and containers. - Reem Almugbel; Ling-Hong Hung; Jiaming Hu; Abeer Almutairy; Nicole Ortogero; Yashaswi Tamta; Ka Yee Yeung (J. Am. Medical Informatics Assoc., 2018)

Leveraging Serverless Computing to Improve Performance for Sequence Comparison. - Xingzhi Niu; Dimitar Kumanov; Ling-Hong Hung; Wes Lloyd; Ka Yee Yeung (BCB, 2019)

Using BioDepot-workflow-builder to Access Public Databases in a Containerized Environment. - Christin Scott; Ling-Hong Hung; Wes Lloyd; Ka Yee Yeung (BIBM, 2019)

Holistic optimization of an RNA-seq workflow for multi-threaded environments. - Ling-Hong Hung; Wes Lloyd; Radhika Agumbe Sridhar; Saranya Devi Athmalingam Ravishankar; Yuguang Xiong; Eric Sobie; Ka Yee Yeung (Bioinform., 2019)

Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data. - Xiao Liang; William Chad Young; Ling-Hong Hung; Adrian E. Raftery; Ka Yee Yeung (J. Comput. Biol., 2019)

Characterizing Performance Variation of Genomic Data Analysis Workflows on the Public Cloud. - David Perez; Ling-Hong Hung; Sonia Xu; Ka Yee Yeung; Wes Lloyd (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Profiling Resource Utilization of Bioinformatics Workflows. - Huazeng Deng; Ling-Hong Hung; Raymond Schooley; David Perez; Niharika Arumilli; Ka Yee Yeung; Wes Lloyd (CoRR, 2020)

Application of natural language processing and machine learning to radiology reports. - Seoungdeok Jeon; Zachary Colburn; Joshua Sakai; Ling-Hong Hung; Ka Yee Yeung (BCB, 2021)

Mobility Analysis Workflow (MAW): An accessible, interoperable, and reproducible container system for processing raw mobile data. - Xiangyang Guan; Cynthia Chen; Ian Ren; Ka Yee Yeung; Ling-Hong Hung; Wes J. Lloyd (CoRR, 2022)

Understanding Container Isolation: An Investigation of Performance Implications of Container Runtimes. - Naman Bhaia; Ling-Hong Hung; Robert Cordingly; Wes Lloyd (WOC@Middleware, 2023)

X86 vs. ARM64: An Investigation of Factors Influencing Serverless Performance. - Xinghan Chen; Ling-Hong Hung; Robert Cordingly; Wes Lloyd (WOSC@Middleware, 2023)

Predicting ARM64 Serverless Functions Runtime: Leveraging function profiling for generalized performance models. - Xinghan Chen; Robert Cordingly; Ling-Hong Hung; Wes Lloyd (UCC, 2024)