Sparsemax and relaxed wasserstein for topic sparsity T Lin, Z Hu, X Guo Proceedings of the twelfth ACM international conference on web search and …, 2019 | 35 | 2019 |
Biclustering by sparse canonical correlation analysis H Pimentel, Z Hu, H Huang Quantitative Biology 6 (1), 56-67, 2018 | 16 | 2018 |
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 |
New proximal Newton-type methods for convex optimization I Adler, ZT Hu, T Lin 2020 59th IEEE Conference on Decision and Control (CDC), 4828-4835, 2020 | 6 | 2020 |
Estimation of population size based on capture recapture designs and evaluation of the estimation reliability Y You, M van der Laan, P Collender, Q Cheng, A Hubbard, NP Jewell, ... arXiv preprint arXiv:2105.05373, 2021 | 5 | 2021 |
Machine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale … PA Collender, ZT Hu, C Li, Q Cheng, X Li, Y You, S Liang, C Yang, ... arXiv preprint arXiv:2001.01895, 2020 | 3 | 2020 |
Heterogeneous reinforcement learning with offline data: Estimation and inference EY Chen, ZT Hu, R Song, MI Jordan | 2 | 2020 |