Zhengping Che
Zhengping Che
AI Innovation Center, Midea Group
Verified email at - Homepage
Cited by
Cited by
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
Benchmarking deep learning models on large healthcare datasets
S Purushotham*, C Meng*, Z Che, Y Liu
Journal of biomedical informatics 83, 112-134, 2018
Interpretable deep models for ICU outcome prediction
Z Che, S Purushotham, R Khemani, Y Liu
AMIA Annual Symposium Proceedings 2016, 371, 2016
Deep computational phenotyping
Z Che*, D Kale*, W Li, MT Bahadori, Y Liu
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Boosting deep learning risk prediction with generative adversarial networks for electronic health records
Z Che*, Y Cheng*, S Zhai, Z Sun, Y Liu
2017 IEEE International Conference on Data Mining (ICDM), 787-792, 2017
Distilling knowledge from deep networks with applications to healthcare domain
Z Che, S Purushotham, R Khemani, Y Liu
arXiv preprint arXiv:1512.03542, 2015
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
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
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
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
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
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 2014, 260-269, 2014
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
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, 784-793, 2018
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
Deep learning solutions to computational phenotyping in health care
Z Che, Y Liu
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1100-1109, 2017
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
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, Y Wang
International Conference on Machine Learning, 7011-7020, 2021
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) 2020 33, 15146 …, 2020
DBUS: Human driving behavior understanding system
MG Li*, B Jiang*, Z Che, X Shi, M Liu, Y Meng, J Ye, Y Liu
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
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