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Zhengping Che
Zhengping Che
X-Humanoid
Zweryfikowany adres z x-humanoid.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Recurrent neural networks for multivariate time series with missing values
Z Che, S Purushotham, K Cho, D Sontag, Y Liu
Scientific reports 8 (1), 6085, 2018
24772018
Benchmarking deep learning models on large healthcare datasets
S Purushotham*, C Meng*, Z Che, Y Liu
Journal of biomedical informatics 83, 112-134, 2018
5282018
Interpretable deep models for ICU outcome prediction
Z Che, S Purushotham, R Khemani, Y Liu
AMIA Annual Symposium Proceedings 2016, 371, 2016
3762016
Deep computational phenotyping
Z Che*, D Kale*, W Li, MT Bahadori, Y Liu
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
3382015
Boosting deep learning risk prediction with generative adversarial networks for electronic health records
Z Che*, Y Cheng*, S Zhai, Z Sun, Y Liu
IEEE International Conference on Data Mining (ICDM) 2017, 787-792, 2017
2242017
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction
X Wang, Z Che, B Jiang, N Xiao, K Yang, J Tang, J Ye, J Wang, Q Qi
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2301-2312, 2021
1842021
Utilizing machine learning and automated performance metrics to evaluate robot-assisted radical prostatectomy performance and predict outcomes
AJ Hung, J Chen, Z Che, T Nilanon, A Jarc, M Titus, PJ Oh, IS Gill, Y Liu
Journal of endourology 32 (5), 438-444, 2018
1742018
Distilling knowledge from deep networks with applications to healthcare domain
Z Che, S Purushotham, R Khemani, Y Liu
arXiv preprint arXiv:1512.03542, 2015
1712015
Interpretable Deep Learning Framework for Mining and Predictive Modeling of Health Care Data
Y Liu, Z Che, S Purushotham
US Patent 11,144,825, 2018
1082018
D-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
Z Che, G Li, T Li, B Jiang, X Shi, X Zhang, Y Lu, G Wu, Y Liu, J Ye
arXiv preprint arXiv:1904.01975, 2019
812019
Exploiting convolutional neural network for risk prediction with medical feature embedding
Z Che, Y Cheng, Z Sun, Y Liu
arXiv preprint arXiv:1701.07474, 2017
672017
Deep Learning Solutions for Classifying Patients on Opioid Use
Z Che, J St. Sauver, H Liu, Y Liu
AMIA Annual Symposium Proceedings 2017, 525-534, 2017
672017
Hierarchical deep generative models for multi-rate multivariate time series
Z Che*, S Purushotham*, G Li*, B Jiang, Y Liu
International Conference on Machine Learning (ICML) 2018, 784-793, 2018
592018
An examination of multivariate time series hashing with applications to health care
DC Kale*, D Gong*, Z Che*, Y Liu, G Medioni, R Wetzel, P Ross
IEEE International Conference on Data Mining (ICDM) 2014, 260-269, 2014
512014
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
Z Xu, K Wu, Z Che, J Tang, J Ye
Advances in Neural Information Processing Systems (NeurIPS) 33, 15146--15155, 2020
462020
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
Y Guan, N Liu, P Zhao, Z Che, K Bian, Y Wang, J Tang
IEEE Transactions on Neural Networks and Learning Systems 34 (12), 9847-9858, 2022
432022
Causal phenotype discovery via deep networks
DC Kale, Z Che, MT Bahadori, W Li, Y Liu, R Wetzel
AMIA Annual Symposium Proceedings 2015, 677, 2015
422015
DECADE: A Deep Metric Learning Model for Multivariate Time Series
Z Che, X He, K Xu, Y Liu
KDD Workshop on Mining and Learning from Time Series (MiLeTS) 2017, 2017
412017
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
N Liu*, G Yuan*, Z Che, X Shen, X Ma, Q Jin, J Ren, J Tang, S Liu, ...
International Conference on Machine Learning (ICML) 2021, 7011-7020, 2021
392021
Deep learning solutions to computational phenotyping in health care
Z Che, Y Liu
IEEE International Conference on Data Mining Workshops (ICDMW) 2017, 1100-1109, 2017
392017
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