Partial Cox regression analysis for high-dimensional microarray gene expression data. - Hongzhe Li; Jiang Gui (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Threshold Gradient Descent Method for Censored Data Regression with Applications in Pharmacogenomics. - Jiang Gui; Hongzhe Li (Pacific Symposium on Biocomputing, 2005)

Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data. - Jiang Gui; Hongzhe Li (Bioinform., 2005)

Employing Publically Available Biological Expert Knowledge from Protein-Protein Interaction Information. - Kristine A. Pattin; Jiang Gui; Jason H. Moore (PRIB, 2010)

Weighted multiple testing procedures for genomic studies. - Jiang Gui; Tor D. Tosteson; Mark E. Borsuk (BioData Min., 2012)

Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. - Timothy H. Ciesielski; Sarah A. Pendergrass; Marquitta J. White; Nuri Kodaman; Rafal S. Sobota; Minjun Huang; Jacquelaine Bartlett; Jing Li; Qinxin Pan; Jiang Gui; Scott B. Selleck; Christopher I. Amos; et al. (BioData Min., 2014)

Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study. - Jiang Gui; Casey S. Greene; Con Sullivan; Walter Taylor; Jason H. Moore; Carol Kim (BioData Min., 2015)

Penalized estimation of sparse concentration matrices based on prior knowledge with applications to placenta elemental data. - Jai Woo Lee; Tracy Punshon; Erika L. Moen; Margaret R. Karagas; Jiang Gui (Comput. Biol. Chem., 2017)

An Efficient Survival Multifactor Dimensionality Reduction Method for Detecting Gene-Gene Interactions of Lung Cancer Onset Age. - Jennifer Luyapan; Xuemei Ji; Dakai Zhu 003; Todd A. MacKenzie; Christopher I. Amos; Jiang Gui (BIBM, 2018)

An Integrated Gaussian Graphical Model to evaluate the impact of exposures on metabolic networks. - Jai Woo Lee; Erika L. Moen; Tracy Punshon; Anne Gatewood Hoen; Delisha Stewart; Hongzhe Li; Margaret R. Karagas; Jiang Gui (Comput. Biol. Medicine, 2019)

Identification of microbial interaction network: zero-inflated latent Ising model based approach. - Jie Zhou; Weston D. Viles; Boran Lu; Zhigang Li; Juliette C. Madan; Margaret R. Karagas; Jiang Gui; Anne Gatewood Hoen (BioData Min., 2020)

Prediction of an outcome using NETwork Clusters (NET-C). - Jai Woo Lee; Jie Zhou; Erika L. Moen; Tracy Punshon; Anne Gatewood Hoen; Megan E. Romano; Margaret R. Karagas; Jiang Gui (Comput. Biol. Chem., 2021)

Learning Musical Representations for Music Performance Question Answering. - Xingjian Diao; Chunhui Zhang; Tingxuan Wu; Ming Cheng 004; Zhongyu Ouyang; Weiyi Wu; Jiang Gui (EMNLP (Findings), 2024)

Memory-Efficient Sparse Pyramid Attention Networks for Whole Slide Image Analysis. - Weiyi Wu; Chongyang Gao; Xinwen Xu; Siting Li; Jiang Gui (CoRR, 2024)

Residual Kolmogorov-Arnold Network for Enhanced Deep Learning. - Ray Congrui Yu; Sherry Wu; Jiang Gui (CoRR, 2024)

A reversible watermarking for image content authentication based on wavelet transform. - De Li; XianLong Dai; Jiang Gui; Jinyan Liu; Xun Jin (Signal Image Video Process., 2024)

Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding. - Xingjian Diao; Chunhui Zhang; Weiyi Wu; Zhongyu Ouyang; Peijun Qing; Ming Cheng 004; Soroush Vosoughi; Jiang Gui (NAACL (Findings), 2025)

Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population. - Siting Li; Maxwell Levis; Monica Dimambro; Weiyi Wu; Joshua Levy; Brian Shiner; Jiang Gui (Comput. Biol. Medicine, 2025)

Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models. - Weiyi Wu; Xinwen Xu; Chongyang Gao; Xingjian Diao; Siting Li; Lucas A. Salas; Jiang Gui (CoRR, 2025)

Music's Multimodal Complexity in AVQA: Why We Need More than General Multimodal LLMs. - Wenhao You; Xingjian Diao; Chunhui Zhang; Keyi Kong; Weiyi Wu; Zhongyu Ouyang; Chiyu Ma; Tingxuan Wu; Noah Wei; Zong Ke; Ming Cheng 004; Soroush Vosoughi; et al. (CoRR, 2025)

Learning Sparsity for Effective and Efficient Music Performance Question Answering. - Xingjian Diao; Tianzhen Yang; Chunhui Zhang; Weiyi Wu; Ming Cheng 004; Jiang Gui (CoRR, 2025)

SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models. - Xingjian Diao; Chunhui Zhang; Keyi Kong; Weiyi Wu; Chiyu Ma; Zhongyu Ouyang; Peijun Qing; Soroush Vosoughi; Jiang Gui (CoRR, 2025)