Cao Xiao  Cao Xiao photo         

contact information

Research Staff Member
AI for Healthcare, IBM Research, Cambridge, Massachusetts
  

links



2019

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019

Developing a Data-driven Medication Indication Knowledge Base using a Large Scale Medical Claims Database
Ying Li, Cao Xiao
AMIA Informatics Summit on Clinical Research Informatics (CRI), 2019


2018

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Edward Choi, Cao Xiao, Walter Stewart, Jimeng Sun
Thirty-second Conference on Neural Information Processing Systems (NIPS 2018)

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Tengfei Ma, Jie Chen, Cao Xiao
Thirty-second Conference on Neural Information Processing Systems (NIPS 2018)

Opportunities and Challenges in Developing Deep Learning Models Using Electronic Health Records Data: a systematic review
Cao Xiao, Edward Choi, Jimeng Sun
Journal of the American Medical Informatics Association (JAMIA), 2018

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction.
Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang
The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018)

Drug Similarity Integration Through Multi-view Graph Auto-Encoders
Tengfei Ma, Cao Xiao, Jiayu Zhou and Fei Wang
The 27th International Joint Conference on Artificial Intelligence (IJCAI 2018)

Predictive Modeling in Urgent Care: A Comparative Study of Machine Learning Approaches
Fengyi Tang, Cao Xiao, Fei Wang and Jiayu Zhou
Journal of the American Medical Informatics Association (JAMIA) Open, 2018

Switching-State Dynamical Modeling of Daily Behavioral Data
Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian
Journal of Healthcare Informatics Research, 2018

Readmission Prediction via Deep Contextual Embedding of Clinical Concepts
Cao Xiao*, Tengfei Ma*, Adji B. Dieng, David M. Blei, Fei Wang
PLOS ONE, 2018

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen, Tengfei Ma, Cao Xiao
International Conference on Learning Representations (ICLR), 2018

An MCEM Framework for Drug Safety Signal Detection and Combination from Heterogeneous Real World Evidence
Cao Xiao, Ying Li, Inci Baytas, Jiayu Zhou and Fei Wang
Nature Scientific Reports, 2018

Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction
Tengfei Ma*, Cao Xiao*, Fei Wang (* equal contribution)
The SIAM International Conference on Data Mining (SDM 18), 2018

HHNE: Heterogeneous Hyper-Network Embedding
Inci M Baytas, Cao Xiao, Fei Wang, Anil K. Jain, and Jiayu Zhou
IEEE International Conference on Data Mining (ICDM'18), 2018

Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification
Cao Xiao, Yan Jin, Ji Liu, Bo Zeng, and Shuai Huang
IEEE Transactions on Automation Science and Engineering , IEEE, 2018


2017

Subtyping Parkinson's Disease with Recurrent Neural Network Models
Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, and Fei Wang
American Medical Informatics Association Annual Symposium (AMIA), Abstract, 2017

Unsupervised Sequential Outlier Detection with Deep Architectures
Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, and Thomas Huang
IEEE Transactions on Image Processing, IEEE, 2017

Patient Subtyping via Time-Aware LSTM Networks.
Inci Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil Jain and Jiayu Zhou
Proceedings of the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017)

An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction
Cao Xiao, Shouyi Wang, Leon Iasemidis, Stephen Wong, Art Chaovalitwongse
IEEE Transactions on Big Data, 2017

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.
Chao Che*, Cao Xiao*, Jian Liang, Bo Jin, Jiayu Zhou, Fei Wang. (* equal contribution)
SIAM International Conference on Data Mining (SDM 17) , 2017

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction
Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Fei Wang.
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017)

Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation
Cao Xiao, Ping Zhang, Art Chaovalitwongse., Jianying Hu, Fei Wang.
Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017)


2016

Diagnostic Classification of ADHD Versus Control Support Vector Machine Classification Using Brief Neuropsychological Assessment
J. Bledsoe, C. Xiao, W. Chaovalitwongse, S. Mehta, T. Grabowski, M. Semrud-Clikeman, S. Pliszka, D. Breiger
Journal of attention disorders pp. 1087054716649666, SAGE Publications, 2016

An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction
Shouyi Wang, Kinming Kam, Cao Xiao, Stephen Bowen, Wanpracha Art Chaovalitwongse
Proceedings of the Twenty-Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016)

A Novel Mutual-Information-Guided Sparse Feature Selection Approach for Epilepsy Diagnosis Using Interictal EEG Signals
Shouyi Wang, Cao Xiao, Jeffrey J Tsai, Wanpracha Chaovalitwongse, Thomas J Grabowski
International Conference on Brain and Health Informatics, pp. 274--284, 2016

An integrated feature ranking and selection framework for ADHD characterization
Cao Xiao, Jesse Bledsoe, Shouyi Wang, Wanpracha Art Chaovalitwongse, Sonya Mehta, Margaret Semrud-Clikeman, Thomas Grabowski
Brain Informatics, 1--11, Springer Berlin Heidelberg, 2016

A Patient-Specific Model for Predicting Tibia Soft Tissue Insertions From Bony Outlines Using a Spatial Structure Supervised Learning Framework
Cao Xiao, Shouyi Wang, Liying Zheng, Xudong Zhang, Wanpracha Art Chaovalitwongse
IEEE Transactions on Human-Machine Systems 46(5), IEEE, 2016

Optimization Models for Feature Selection of Decomposed Nearest Neighbor
Cao Xiao, Wanpracha Art Chaovalitwongse
IEEE Transactions on Systems, Man, and Cybernetics: Systems 46(2), 177--184, IEEE, 2016


2015

Detecting clusters of fake accounts in online social networks
Cao Xiao, David Mandell Freeman, Theodore Hwa
Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security, pp. 91--101, 2015