| 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 | 455 | 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 | 241 | 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 | 239 | 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 | 134 | 2015 |
| 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 | 89 | 2017 |
| MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare E Choi, C Xiao, W Stewart, J Sun NIPS 2018, 2018 | 82 | 2018 |
| Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders T Ma, J Chen, C Xiao NIPS 2018, 2018 | 81 | 2018 |
| 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 | 69 | 2018 |
| 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 | 60 | 2018 |
| 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 | 44 | 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 | 42 | 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), 1-12, 2019 | 41 | 2019 |
| 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 | 39 | 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 | 36 | 2019 |
| Pre-training of Graph Augmented Transformers for Medication Recommendation J Shang, T Ma, C Xiao, J Sun IJCAI'19, 2019 | 30 | 2019 |
| Optimization models for feature selection of decomposed nearest neighbor C Xiao, WA Chaovalitwongse IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (2), 177-184, 2015 | 28 | 2015 |
| Predictive modeling in urgent care: a comparative study of machine learning approaches F Tang, C Xiao, F Wang, J Zhou JAMIA Open, 2018 | 27 | 2018 |
| Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction B Jin, H Yang, C Xiao, P Zhang, F Wang Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), 2017 | 26 | 2017 |
| Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation C Xiao, P Zhang, A Chaovalitwongse, J Hu, F Wang Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), 2017 | 22 | 2017 |
| Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction Z Qiao, S Zhao, C Xiao, X Li, Y Qin, F Wang International Joint Conferences on Artificial Intelligence (IJCAI), 2018 | 17 | 2018 |
