| Neurobiological commonalities and distinctions among three major psychiatric diagnostic categories: a structural MRI study M Chang, FY Womer, EK Edmiston, C Bai, Q Zhou, X Jiang, S Wei, Y Wei, ... Schizophrenia bulletin 44 (1), 65-74, 2018 | 84 | 2018 |
| Understanding the role of importance weighting for deep learning D Xu, Y Ye, C Ruan International Conference on Learning Representations (ICLR), (2021), 2021 | 45 | 2021 |
| Spontaneous low-frequency fluctuations in the neural system for emotional perception in major psychiatric disorders: amplitude similarities and differences across frequency bands M Chang, EK Edmiston, FY Womer, Q Zhou, S Wei, X Jiang, Y Zhou, Y Ye, ... Journal of Psychiatry and Neuroscience 44 (2), 132-141, 2019 | 31 | 2019 |
| Bayes embedding (bem) refining representation by integrating knowledge graphs and behavior-specific networks Y Ye, X Wang, J Yao, K Jia, J Zhou, Y Xiao, H Yang Proceedings of the 28th ACM international conference on information and …, 2019 | 29 | 2019 |
| NMFP: a non-negative matrix factorization based preselection method to increase accuracy of identifying mRNA isoforms from RNA-seq data Y Ye, JJ Li BMC genomics 17, 127-140, 2016 | 12 | 2016 |
| Bipartite graph-based approach for clustering of cell lines by gene expression–drug response associations C Chi, Y Ye, B Chen, H Huang Bioinformatics 37 (17), 2617-2626, 2021 | 9 | 2021 |
| AICM: a genuine framework for correcting inconsistency between large pharmacogenomics datasets ZT Hu, Y Ye, PA Newbury, H Huang, B Chen BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 248-259, 2018 | 7 | 2018 |
| Towards Robust Off-policy Learning for Runtime Uncertainty D Xu, Y Ye, C Ruan, B Yang arXiv:2202.13337, 21, 2022 | 6 | 2022 |
| The existence of maximum likelihood estimate in high-dimensional binary response generalized linear models W Tang, Y Ye | 5 | 2020 |
| From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation D Xu, Y Ye, C Ruan, E Korpeoglu, S Kumar, K Achan International Conference on Learning Representations, 2022 | 4 | 2022 |
| HONES: a fast and tuning-free homotopy method for online Newton step Y Ye, L Lei, C Ju International Conference on Artificial Intelligence and Statistics, 2008-2017, 2018 | 4 | 2018 |
| Hierlpr: Decision making in hierarchical multi-label classification with local precision rates C Ho, Y Ye, CR Jiang, WT Lee, H Huang arXiv preprint arXiv:1810.07954, 2018 | 2 | 2018 |
| Binomial Mixture Model With U-shape Constraint Y Ye, PJ Bickel arXiv preprint arXiv:2107.13756, 2021 | 1 | 2021 |
| Paired Test of Matrix Graphs and Brain Connectivity Analysis Y Ye, Y Xia, L Li Biostatistics 22 (2), 402-420, 2021 | 1 | 2021 |
| The existence of maximum likelihood estimate in high-dimensional generalized linear models with binary responses W Tang, Y Ye Electron J Stat 14 (1), 4028-4053, 2020 | 1 | 2020 |
| Decision Making for Hierarchical Multi-label Classification with Multidimensional Local Precision Rate Y Ye, C Ho, CR Jiang, WT Lee, H Huang arXiv preprint arXiv:2205.07833, 2022 | | 2022 |
| Decision Making on Noisy Data with Additional Knowledge Y Ye UC Berkeley, 2021 | | 2021 |
| Testing and Diagnosis of Neurological Disorders Based on Neuroimaging Y Ye University of California, Berkeley, 2017 | | 2017 |
| Erratum to:‘NMFP: a non-negative matrix factorization based preselection method to increase accuracy of identifying mRNA isoforms from RNA-seq data’ Y Ye, JJ Li BMC genomics 17 (1), 1-1, 2016 | | 2016 |
| FROM INTERVENTION TO DOMAIN TRANSPORTATION: ANovel PERSPECTIVE TO OPTIMIZE RECOMMENDA D Xu, Y Ye, C Ruan | | |
Haiyan Huang, ProfessorUniversity of California, BerkeleyVerified email at stat.berkeley.edu
