A linearization procedure and a VDM/ECM algorithm for penalized and constrained nonparametric maximum likelihood estimation for mixture models. - Ji-Ping Wang (Comput. Stat. Data Anal., 2007)

Meta-Analysis of Drosophila Circadian Microarray Studies Identifies a Novel Set of Rhythmically Expressed Genes. - Kevin P. Keegan; Suraj Pradhan; Ji-Ping Wang; Ravi Allada (PLoS Comput. Biol., 2007)

Preferentially Quantized Linker DNA Lengths in Saccharomyces cerevisiae. - Ji-Ping Wang; Yvonne Fondufe-Mittendorf; Liqun Xi; Guei-Feng Tsai; Eran Segal; Jonathan Widom (PLoS Comput. Biol., 2008)

Predicting nucleosome positioning using a duration Hidden Markov Model. - Liqun Xi; Yvonne Fondufe-Mittendorf; Lei Xia 001; Jared Flatow; Jonathan Widom; Ji-Ping Wang (BMC Bioinform., 2010)

Large-scale Cortical Network Properties Predict Future Sound-to-Word Learning Success. - John Patrick Sheppard; Ji-Ping Wang; Patrick C. M. Wong (J. Cogn. Neurosci., 2012)

Integrative network analysis of TCGA data for ovarian cancer. - Qingyang Zhang; Joanna E. Burdette; Ji-Ping Wang (BMC Syst. Biol., 2014)

Extracting Commonsense Properties from Embeddings with Limited Human Guidance. - Yiben Yang; Larry Birnbaum; Ji-Ping Wang; Doug Downey (ACL (2), 2018)

Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models. - Yiben Yang; Ji-Ping Wang; Doug Downey (NAACL-HLT (1), 2019)

G-DAug: Generative Data Augmentation for Commonsense Reasoning. - Yiben Yang; Chaitanya Malaviya; Jared Fernandez; Swabha Swayamdipta; Ronan Le Bras 001; Ji-Ping Wang; Chandra Bhagavatula; Yejin Choi 001; Doug Downey (EMNLP (Findings), 2020)

BoostMEC: predicting CRISPR-Cas9 cleavage efficiency through boosting models. - Oscar A. Zarate; Yiben Yang; Xiaozhong Wang; Ji-Ping Wang (BMC Bioinform., 2022)

Integrating genetic and gene expression data in network-based stratification analysis of cancers. - Kenny Liou; Ji-Ping Wang (BMC Bioinform., 2025)