Publications

Journal

• Calvin Chi, Yuting Ye, Bin Chen, and Haiyan Huang, Bipartite graph-based approach for clustering of cell lines by gene expression-drug response associations, accepted by Bioinformatics.
• Wenpin Tang, Yuting Ye, The existence of maximum likelihood estimator in high-dimensional gen- eralized linear models. Electron. J. Statist. 14 (2020), no. 2, 4028–4053. doi:10.1214/20-EJS1766.
• Yuting Ye, Yin Xia, Lexin Li. Paired Test of Matrix Graphs and Brain Connectivity Analysis. Biostatistics, kxz037, 2019.
• Miao Chang, Elliot K. Edmiston, Fay Y. Womer, Qian Zhou, Shengnan Wei, Xiaowei Jiang, Yifang Zhou, Yuting Ye, Haiyan Huang, Xi-Nian Zuo, Ke Xu, Yanqing Tang, Fei Wang. Spontaneous low- frequency fluctuations in the neural system for emotional perception in major psychiatric disorders: amplitude similarities and differences across frequency bands. Journal of psychiatry & neuroscience: JPN. 2019 Mar; 44(2):132.
• Miao Chang, Fay Y. Womer, Elliot K. Edmiston, Chuan Bai, Qian Zhou, Xiaowei Jiang, Shengnan Wei, Yange Wei, Yuting Ye, Haiyan Huang, Yong He, Ke Xu, Yanqing Tang, Fei Wang. Neurobiological Commonalities and Distinctions Among Three Major Psychiatric Diagnostic Categories: A Structural MRI Study. Schizophrenia Bulletin. 2017 Jun 13.

Conference

• Da Xu, Yuting Ye, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan, From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation, accepted by ICLR, 2022.
• Da Xu, Yuting Ye, Chuanwei Ruan, Bo Yang, Towards Robust Off-policy Learning for Runtime Uncertainty, accepted by AAAI, 2022.
• Da Xu, Yuting Ye, Chuanwei Ruan, Understanding the role of importance weighting for deep learning, ICLR for a spotlight talk, 2021.
• Yuting Ye, Xuwu Wang, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang, Bayes EMbed- ding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management. ACM, 2019, pp. 679–688.
• Zhiyue Hu, Yuting Ye, Nwbury Patrick, Haiyan Huang, Bin Chen. AICM: A Genuine Framework Targeting Inconsistency Between Large Pharmacogenomics Datasets. In Proceedings of Pacific Sympo- sium on Biocomputing (PSB), pp. 248-259. 2019.
• Yuting Ye, Lihua Lei, Cheng Ju, HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step. In Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS-18), pages 2008–2017, 2018.
• Yuting Ye, Jingyi Jessica Li, NMFP: a non-negative matrix factorization based preselection method to increase accuracy of identifying mRNA isoforms from RNA-seq data. BMC Genomics 17, 11 (2016).

Preprint

• Yuting Ye, Christine Ho, Ci-Ren Jiang, Wayne Tai Lee, Haiyan Huang, Hierarchical multi-label classification with local precision rate. Manuscripts.
• Yuting Ye, Peter J. Bickel, Non-parametric density estimation and inference under the U-shape constraint, with an application to the Gene Fishing method. Manuscripts.
• Yuting Ye, Lihua Lei, Bayesian Inference On Gaussian Graphical Models With Soft G-Wishart Distributions. Manuscripts.
• Zoe Vernon, Yuting Ye, Bin Chen, Haiyan Huang, Reversal Correlation for drug discovery and biomaker identification. Manuscripts.