Cao (Danica) Xiao
Cao (Danica) Xiao
GE Healthcare
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Cited by
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FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
J Chen, T Ma, C Xiao
6th International Conference on Learning Representations (ICLR' 18), 2018
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
C Xiao, E Choi, J Sun
Journal of the American Medical Informatics Association (JAMIA), 2018
Patient subtyping via time-aware LSTM networks
IM Baytas, C Xiao, X Zhang, F Wang, AK Jain, J Zhou
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review
S Hong, Y Zhou, J Shang, C Xiao, J Sun
Computers in Biology and Medicine, 2020
DeepPurpose: a deep learning library for drug–target interaction prediction
K Huang, T Fu, LM Glass, M Zitnik, C Xiao, J Sun
Bioinformatics 36 (22-23), 5545-5547, 2020
Pre-training of Graph Augmented Transformers for Medication Recommendation
J Shang, T Ma, C Xiao, J Sun
IJCAI'19, 2019
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
E Choi, C Xiao, W Stewart, J Sun
NIPS 2018, 2018
MolTrans: Molecular interaction transformer for drug target interaction prediction
K Huang, C Xiao, L Glass, J Sun
Bioinformatics, 2020
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
T Ma, J Chen, C Xiao
NIPS 2018, 2018
Therapeutics data commons: Machine learning datasets and tasks for drug discovery and development
K Huang, T Fu, W Gao, Y Zhao, Y Roohani, J Leskovec, CW Coley, ...
arXiv preprint arXiv:2102.09548, 2021
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
J Shang, C Xiao, T Ma, H Li, J Sun
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019
Detecting clusters of fake accounts in online social networks
C Xiao, DM Freeman, T Hwa
Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security …, 2015
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
T Ma, C Xiao, J Zhou, F Wang
International Joint Conferences on Artificial Intelligence (IJCAI), 2018
Hitanet: Hierarchical time-aware attention networks for risk prediction on electronic health records
J Luo, M Ye, C Xiao, F Ma
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.
C Che, C Xiao, J Liang, B Jin, J Zhou, F Wang
SIAM International Conference on Data Mining (SDM 17), 2017
Data-driven subtyping of Parkinson’s disease using longitudinal clinical records: a cohort study
X Zhang, J Chou, J Liang, C Xiao, Y Zhao, H Sarva, C Henchcliffe, ...
Scientific reports 9 (1), 797, 2019
SkipGNN: predicting molecular interactions with skip-graph networks
K Huang, C Xiao, LM Glass, M Zitnik, J Sun
Scientific reports 10 (1), 21092, 2020
Readmission prediction via deep contextual embedding of clinical concepts
C Xiao, T Ma, AB Dieng, DM Blei, F Wang
PLoS One 13 (4), e0195024, 2018
Unsupervised sequential outlier detection with deep architectures
W Lu, Y Cheng, C Xiao, S Chang, S Huang, B Liang, T Huang
IEEE transactions on image processing 26 (9), 4321-4330, 2017
CASTER: Predicting Drug Interaction with Chemical Substructure Representation
K Huang, C Xiao, N Hoang, L Glass, J Sun
AAAI' 20, 2020
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