Cao Xiao

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 170

Top Venues

Publications

Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. KDD (2024)
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
Certifiably Byzantine-Robust Federated Conformal Prediction. CoRR (2024)
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun
PILOT: Legal Case Outcome Prediction with Case Law. CoRR (2024)
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT (2024)
Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. CoRR (2024)
Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. AAAI (2024)
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. CoRR (2024)
Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
Recent Advances in Predictive Modeling with Electronic Health Records. CoRR (2024)
Jintai Chen, Yaojun Hu, Yue Wang, Yingzhou Lu, Xu Cao, Miao Lin, Hongxia Xu, Jian Wu, Cao Xiao, Jimeng Sun, Lucas Glass, Kexin Huang, Marinka Zitnik, Tianfan Fu
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets. CoRR (2024)
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR (2024)
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun
PILOT: Legal Case Outcome Prediction with Case Law. NAACL-HLT (2024)
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
FRAMM: Fair ranking with missing modalities for clinical trial site selection. Patterns 5 (3) (2024)
Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs. ICLR (2024)
Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR (2024)
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. ACL (1) (2024)
Brandon Theodorou, Cao Xiao, Jimeng Sun
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network. CoRR (2023)
Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development. CoRR (2023)
Zifeng Wang, Cao Xiao, Jimeng Sun
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. BCB (2023)
Brandon Philip Theodorou, Cao Xiao, Jimeng Sun
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network. BCB (2023)
Zifeng Wang, Cao Xiao, Jimeng Sun
AutoTrial: Prompting Language Models for Clinical Trial Design. EMNLP (2023)
Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma
ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. CIKM (2023)
Zifeng Wang, Cao Xiao, Jimeng Sun
AutoTrial: Prompting Language Models for Clinical Trial Design. CoRR (2023)
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection. CoRR (2023)
Zifeng Wang, Cao Xiao, Jimeng Sun
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. CoRR (2023)
Zhenbang Wu, Cao Xiao, Jimeng Sun
MedLink: De-Identified Patient Health Record Linkage. KDD (2023)
Junyu Luo, Cao Xiao, Fenglong Ma
Zero-Resource Hallucination Prevention for Large Language Models. CoRR (2023)
Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. CoRR (2023)
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
AnyPredict: Foundation Model for Tabular Prediction. CoRR (2023)
Brandon Theodorou, Cao Xiao, Jimeng Sun
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model. CoRR (2023)
Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun
GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs. CoRR (2023)
Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. CoRR (2023)
Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. ICML (2023)
Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. BIBM (2022)
Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. COLING (2022)
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
HINT: Hierarchical interaction network for clinical-trial-outcome predictions. Patterns 3 (4) (2022)
Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. CoRR (2022)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. ECML/PKDD (2) (2022)
Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI (2022)
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. CoRR (2022)
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. WWW (2022)
Rakshith Sharma Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun
Clinical trial site matching with improved diversity using fair policy learning. CoRR (2022)
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
Differentiable Scaffolding Tree for Molecule Optimization. ICLR (2022)
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. CoRR (2021)
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR (2021)
Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
Machine Learning Applications for Therapeutic Tasks with Genomics Data. CoRR (2021)
Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. CoRR (2021)
Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) (2021)
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. KDD (2021)
Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun
FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection. J. Am. Medical Informatics Assoc. 28 (3) (2021)
Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. CoRR (2021)
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys (2021)
Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun
Augmented Tensor Decomposition with Stochastic Optimization. CoRR (2021)
Cao Xiao, Shouyi Wang, Leonidas D. Iasemidis, Stephen Wong, Wanpracha Art Chaovalitwongse
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction. IEEE Trans. Big Data 7 (5) (2021)
Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun
SPEAR: self-supervised post-training enhancer for molecule optimization. BCB (2021)
Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. Bioinform. 37 (6) (2021)
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData (2021)
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. AAAI (2021)
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. CIKM (2021)
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR (2021)
Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Cao Xiao, Jimeng Sun
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. MLHC (2021)
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
Differentiable Scaffolding Tree for Molecular Optimization. CoRR (2021)
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
Change Matters: Medication Change Prediction with Recurrent Residual Networks. IJCAI (2021)
Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun
PyHealth: A Python Library for Health Predictive Models. CoRR (2021)
Kexin Huang, Tianfan Fu, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun
DeepPurpose: a deep learning library for drug-target interaction prediction. Bioinform. 36 (22-23) (2021)
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. WWW (2021)
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. CoRR (2021)
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI (2021)
Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. KDD (2021)
Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. J. Am. Medical Informatics Assoc. 28 (4) (2021)
Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
Machine learning applications for therapeutic tasks with genomics data. Patterns 2 (10) (2021)
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. Bioinform. 37 (18) (2021)
Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. WWW (2021)
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW (2021)
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. IJCAI (2021)
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
Change Matters: Medication Change Prediction with Recurrent Residual Networks. CoRR (2021)
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. AAAI (2021)
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. CoRR (2021)
Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun
Advances in Mining Heterogeneous Healthcare Data. KDD (2021)
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks (2021)
Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. KDD (2020)
Zelda B. Zabinsky, Pattamon Dulyakupt, Shabnam Zangeneh-Khamooshi, Cao Xiao, Pengbo Zhang, Seksan Kiatsupaibul, Joseph A. Heim
Optimal collection of medical specimens and delivery to central laboratory. Ann. Oper. Res. 287 (1) (2020)
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. WWW (2020)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR (2020)
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. CoRR (2020)
Yanbo Xu, Cao Xiao, Jimeng Sun
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data. CoRR (2020)
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. CoRR (2020)
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR (2020)
Tianfan Fu, Cao Xiao, Jimeng Sun
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. AAAI (2020)
Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun
α-MOP: Molecule optimization with α-divergence. BIBM (2020)
Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence. CoRR (2020)
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR (2020)
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. CoRR (2020)
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. CoRR (2020)
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. WWW (2020)
Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. CoRR (2020)
Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. AAAI (2020)
Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma
A Benchmark Dataset for Understandable Medical Language Translation. CoRR (2020)
Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cao Xiao