| 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 | 968 | 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 | 433 | 2017 |
| 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 | 421 | 2018 |
| 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 | 173 | 2015 |
| MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare E Choi, C Xiao, W Stewart, J Sun NIPS 2018, 2018 | 167 | 2018 |
| 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 | 164 | 2020 |
| Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders T Ma, J Chen, C Xiao NIPS 2018, 2018 | 151 | 2018 |
| 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 | 122 | 2017 |
| 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 | 120 | 2018 |
| Pre-training of Graph Augmented Transformers for Medication Recommendation J Shang, T Ma, C Xiao, J Sun IJCAI'19, 2019 | 108 | 2019 |
| 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 | 100 | 2018 |
| 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 | 90 | 2020 |
| 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 | 89 | 2019 |
| 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), 1-12, 2019 | 86 | 2019 |
| 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 | 67 | 2017 |
| Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction T Ma, C Xiao, F Wang The SIAM International Conference on Data Mining (SDM 18), 2018 | 64 | 2018 |
| MolTrans: Molecular interaction transformer for drug target interaction prediction K Huang, C Xiao, L Glass, J Sun Bioinformatics, 2020 | 53 | 2020 |
| CASTER: Predicting Drug Interaction with Chemical Substructure Representation K Huang, C Xiao, N Hoang, L Glass, J Sun AAAI' 20, 2020 | 50 | 2020 |
| 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 | 49 | 2021 |
| MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals S Hong, C Xiao, T Ma, H Li, J Sun IJCAI'19, 2019 | 48 | 2019 |
