Detecting Clusters of Fake Accounts in Online Social Networks. - Cao Xiao; David Mandell Freeman; Theodore Hwa (AISec@CCS, 2015)

An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction. - Shouyi Wang; KinMing Kam; Cao Xiao; Stephen R. Bowen; Wanpracha Art Chaovalitwongse (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 003; Wanpracha Art Chaovalitwongse; Thomas J. Grabowski (BIH, 2016)

An integrated feature ranking and selection framework for ADHD characterization. - Cao Xiao; Jesse Bledsoe; Shouyi Wang; Wanpracha Art Chaovalitwongse; Sonya H. Mehta; Margaret Semrud-Clikeman; Thomas J. Grabowski (Brain Informatics, 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 Trans. Hum. Mach. Syst., 2016)

Optimization Models for Feature Selection of Decomposed Nearest Neighbor. - Cao Xiao; Wanpracha Art Chaovalitwongse (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. - Bo Jin 001; Haoyu Yang; Cao Xiao; Ping Zhang 016; Xiaopeng Wei; Fei Wang 001 (AAAI, 2017)

Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. - Cao Xiao; Ping Zhang 016; W. Art Chaovalitwongse; Jianying Hu; Fei Wang 001 (AAAI, 2017)

Subtyping Parkinson's Disease with Recurrent Neural Network Models. - Xi Zhang; Jian Liang 001; Cao Xiao; Yize Zhao; Fei Wang 001 (AMIA, 2017)

Patient Subtyping via Time-Aware LSTM Networks. - Inci M. Baytas; Cao Xiao; Xi Zhang; Fei Wang 001; Anil K. Jain 001; Jiayu Zhou (KDD, 2017)

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. - Chao Che; Cao Xiao; Jian Liang 002; Bo Jin 001; Jiayu Zho; Fei Wang 001 (SDM, 2017)

Unsupervised Sequential Outlier Detection With Deep Architectures. - Weining Lu; Yu Cheng 001; Cao Xiao; Shiyu Chang; Shuai Huang 001; Bin Liang 001; Thomas S. Huang (IEEE Trans. Image Process., 2017)

Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso. - Kin Ming Puk; Wei Xiang; Shouyi Wang; Cao (Danica) Xiao; W. Art Chaovalitwongse; Tara M. Madhyastha; Thomas J. Grabowski (BI, 2018)

Heterogeneous Hyper-Network Embedding. - Inci M. Baytas; Cao Xiao; Fei Wang 001; Anil K. Jain 001; Jiayu Zhou (ICDM, 2018)

FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. - Jie Chen 007; Tengfei Ma 001; Cao Xiao (ICLR (Poster), 2018)

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. - Tengfei Ma 001; Cao Xiao; Jiayu Zhou; Fei Wang 001 (IJCAI, 2018)

Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. - Zhi Qiao 007; Shiwan Zhao; Cao Xiao; Xiang Li 013; Yong Qin; Fei Wang 001 (IJCAI, 2018)

MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. - Edward Choi; Cao Xiao; Walter F. Stewart; Jimeng Sun 001 (NeurIPS, 2018)

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. - Tengfei Ma 001; Jie Chen 007; Cao Xiao (NeurIPS, 2018)

Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction. - Tengfei Ma 001; Cao Xiao; Fei Wang 001 (SDM, 2018)

RDPD: Rich Data Helps Poor Data via Imitation. - Shenda Hong; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (CoRR, 2018)

AWE: Asymmetric Word Embedding for Textual Entailment. - Tengfei Ma 001; Chiamin Wu; Cao Xiao; Jimeng Sun 001 (CoRR, 2018)

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review. - Cao Xiao; Edward Choi; Jimeng Sun 001 (J. Am. Medical Informatics Assoc., 2018)

Switching-State Dynamical Modeling of Daily Behavioral Data. - Randy Ardywibowo; Shuai Huang 001; Shupeng Gui; Cao Xiao; Yu Cheng 001; Ji Liu 002; Xiaoning Qian (J. Heal. Informatics Res., 2018)

Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification. - Cao Xiao; Yan Jin; Ji Liu 002; Bo Zeng 001; Shuai Huang 001 (IEEE Trans Autom. Sci. Eng., 2018)

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. - Junyuan Shang; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (AAAI, 2019)

PEARL: Prototype Learning via Rule Learning. - Tianfan Fu; Tian Gao; Cao Xiao; Tengfei Ma 001; Jimeng Sun 001 (BCB, 2019)

DDL: Deep Dictionary Learning for Predictive Phenotyping. - Tianfan Fu; Trong Nghia Hoang; Cao Xiao; Jimeng Sun 001 (IJCAI, 2019)

RDPD: Rich Data Helps Poor Data via Imitation. - Shenda Hong; Cao Xiao; Trong Nghia Hoang; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (IJCAI, 2019)

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. - Shenda Hong; Cao Xiao; Tengfei Ma 001; Hongyan Li 002; Jimeng Sun 001 (IJCAI, 2019)

Pre-training of Graph Augmented Transformers for Medication Recommendation. - Junyuan Shang; Tengfei Ma 001; Cao Xiao; Jimeng Sun 001 (IJCAI, 2019)

Retaining Privileged Information for Multi-Task Learning. - Fengyi Tang; Cao Xiao; Fei Wang 001; Jiayu Zhou; Li-Wei H. Lehman (KDD, 2019)

Tutorial: Data Mining Methods for Drug Discovery and Development. - Cao Xiao; Jimeng Sun 001 (KDD, 2019)

SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. - Irfan Al-Hussaini; Cao Xiao; M. Brandon Westover; Jimeng Sun 001 (MLHC, 2019)

EEGtoText: Learning to Write Medical Reports from EEG Recordings. - Siddharth Biswal; Cao Xiao; M. Brandon Westover; Jimeng Sun 001 (MLHC, 2019)

Longitudinal Adversarial Attack on Electronic Health Records Data. - Sungtae An; Cao Xiao; Walter F. Stewart; Jimeng Sun 001 (WWW, 2019)

Improved Maximum Margin Clustering via the Bundle Method. - Jianqiang Li 002; Jingchao Sun; Lu Liu; Bo Liu 010; Cao Xiao; Fei Wang 001 (IEEE Access, 2019)

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks. - Kezi Yu; Yunlong Wang 001; Yong Cai; Cao Xiao; Emily Zhao; Lucas Glass; Jimeng Sun 001 (CoRR, 2019)

Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model. - Fan Zhang; Tong Wu 001; Yunlong Wang 001; Yong Cai; Cao Xiao; Emily Zhao; Lucas Glass; Jimeng Sun 001 (CoRR, 2019)

GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. - Tengfei Ma 001; Junyuan Shang; Cao Xiao; Jimeng Sun 001 (CoRR, 2019)

CUP: Cluster Pruning for Compressing Deep Neural Networks. - Rahul Duggal; Cao Xiao; Richard W. Vuduc; Jimeng Sun 001 (CoRR, 2019)

Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. - Siddharth Biswal; Cao Xiao; Lucas M. Glass; Elizabeth Milkovits; Jimeng Sun 001 (AAAI, 2020)

CONAN: Complementary Pattern Augmentation for Rare Disease Detection. - Limeng Cui; Siddharth Biswal; Lucas M. Glass; Greg Lever; Jimeng Sun 001; Cao Xiao (AAAI, 2020)

CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. - Tianfan Fu; Cao Xiao; Jimeng Sun 001 (AAAI, 2020)

CASTER: Predicting Drug Interactions with Chemical Substructure Representation. - Kexin Huang; Cao Xiao; Trong Nghia Hoang; Lucas Glass; Jimeng Sun 001 (AAAI, 2020)

α-MOP: Molecule optimization with α-divergence. - Tianfan Fu; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (BIBM, 2020)

Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. - Xiao Qin 003; Cao Xiao; Tengfei Ma 001; Tabassum Kakar; Susmitha Wunnava; Xiangnan Kong; Elke A. Rundensteiner; Fei Wang 001 (IEEE BigData, 2020)

LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. - Muchao Ye; Junyu Luo 001; Cao Xiao; Fenglong Ma (CIKM, 2020)

COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. - Junyi Gao; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (KDD, 2020)

HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. - Junyu Luo 001; Muchao Ye; Cao Xiao; Fenglong Ma (KDD, 2020)

Clinical Report Auto-completion. - Siddharth Biswal; Cao Xiao; Lucas Glass; M. Brandon Westover; Jimeng Sun 001 (WWW, 2020)

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. - Rahul Duggal; Scott Freitas; Cao Xiao; Duen Horng Chau; Jimeng Sun 001 (WWW, 2020)

StageNet: Stage-Aware Neural Networks for Health Risk Prediction. - Junyi Gao; Cao Xiao; Yasha Wang; Wen Tang; Lucas M. Glass; Jimeng Sun 001 (WWW, 2020)

Patient-Trial Matching with Deep Embedding and Entailment Prediction. - Xingyao Zhang; Cao Xiao; Lucas Glass; Jimeng Sun 001 (WWW, 2020)

Optimal collection of medical specimens and delivery to central laboratory. - Zelda B. Zabinsky; Pattamon Dulyakupt; Shabnam Zangeneh-Khamooshi; Cao Xiao; Pengbo Zhang; Seksan Kiatsupaibul; Joseph A. Heim (Ann. Oper. Res., 2020)

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. - Shenda Hong; Yuxi Zhou; Junyuan Shang; Cao Xiao; Jimeng Sun 001 (Comput. Biol. Medicine, 2020)

DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction. - Xingyao Zhang; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (CoRR, 2020)

CLARA: Clinical Report Auto-completion. - Siddharth Biswal; Cao Xiao; Lucas M. Glass; M. Brandon Westover; Jimeng Sun 001 (CoRR, 2020)

SUOD: A Scalable Unsupervised Outlier Detection Framework. - Yue Zhao 016; Xiyang Hu; Cheng Cheng 001; Cong Wang; Cao Xiao; Yunlong Wang 001; Jimeng Sun 001; Leman Akoglu (CoRR, 2020)

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit. - Kexin Huang; Tianfan Fu; Cao Xiao; Lucas Glass; Jimeng Sun 001 (CoRR, 2020)

SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. - Kexin Huang; Cao Xiao; Lucas Glass; Marinka Zitnik; Jimeng Sun 001 (CoRR, 2020)

Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. - Rakshith Sharma Srinivasa; Cao Xiao; Lucas Glass; Justin Romberg; Jimeng Sun 001 (CoRR, 2020)

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning. - Kexin Huang; Tianfan Fu; Dawood Khan; Ali Abid; Ali Abdalla; Abubakar Abid; Lucas M. Glass; Marinka Zitnik; Cao Xiao; Jimeng Sun 001 (CoRR, 2020)

DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data. - Yanbo Xu; Cao Xiao; Jimeng Sun 001 (CoRR, 2020)

A Benchmark Dataset for Understandable Medical Language Translation. - Junyu Luo 001; Zifei Zheng; Hanzhong Ye; Muchao Ye; Yaqing Wang; Quanzeng You; Cao Xiao; Fenglong Ma (CoRR, 2020)

Dr. Agent: Clinical predictive model via mimicked second opinions. - Junyi Gao; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (J. Am. Medical Informatics Assoc., 2020)

Introduction to Deep Learning for Healthcare - Cao Xiao; Jimeng Sun 001 (Springer, 2021)

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. - Tianfan Fu; Cao Xiao; Xinhao Li 001; Lucas M. Glass; Jimeng Sun 001 (AAAI, 2021)

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. - Nikos Kargas; Cheng Qian 001; Nicholas D. Sidiropoulos; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (AAAI, 2021)

Fusion: Towards Automated ICD Coding via Feature Compression. - Junyu Luo 001; Cao Xiao; Lucas Glass; Jimeng Sun 001; Fenglong Ma (ACL/IJCNLP (Findings), 2021)

SPEAR: self-supervised post-training enhancer for molecule optimization. - Tianfan Fu; Cao Xiao; Kexin Huang; Lucas M. Glass; Jimeng Sun 001 (BCB, 2021)

CUP: Cluster Pruning for Compressing Deep Neural Networks. - Rahul Duggal; Cao Xiao; Richard W. Vuduc; Duen Horng Chau; Jimeng Sun 001 (IEEE BigData, 2021)

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. - Muchao Ye; Suhan Cui; Yaqing Wang; Junyu Luo 001; Cao Xiao; Fenglong Ma (CIKM, 2021)

Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. - Cheng Qian 001; Nikos Kargas; Cao Xiao; Lucas Glass; Nicholas D. Sidiropoulos; Jimeng Sun 001 (IJCAI, 2021)

Change Matters: Medication Change Prediction with Recurrent Residual Networks. - Chaoqi Yang; Cao Xiao; Lucas Glass; Jimeng Sun 001 (IJCAI, 2021)

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. - Chaoqi Yang; Cao Xiao; Fenglong Ma; Lucas Glass; Jimeng Sun 001 (IJCAI, 2021)

Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. - Tianfan Fu; Cao Xiao; Cheng Qian 001; Lucas M. Glass; Jimeng Sun 001 (KDD, 2021)

Advances in Mining Heterogeneous Healthcare Data. - Fenglong Ma; Muchao Ye; Junyu Luo 001; Cao Xiao; Jimeng Sun 001 (KDD, 2021)

MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. - Chaoqi Yang; Navjot Singh; Cao Xiao; Cheng Qian 001; Edgar Solomonik; Jimeng Sun 001 (KDD, 2021)

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders. - Siddharth Biswal; Soumya Ghosh; Jon Duke; Bradley A. Malin; Walter F. Stewart; Cao Xiao; Jimeng Sun 001 (MLHC, 2021)

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. - Yue Zhao 016; Xiyang Hu; Cheng Cheng 001; Cong Wang; Changlin Wan; Wen Wang; Jianing Yang; Haoping Bai; Zheng Li; Cao Xiao; Yunlong Wang 001; Zhi Qiao 007; et al. (MLSys, 2021)

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. - Kexin Huang; Tianfan Fu; Wenhao Gao 001; Yue Zhao 016; Yusuf Roohani; Jure Leskovec; Connor W. Coley; Cao Xiao; Jimeng Sun 001; Marinka Zitnik (NeurIPS Datasets and Benchmarks, 2021)

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. - Chacha Chen; Junjie Liang; Fenglong Ma; Lucas Glass; Jimeng Sun 001; Cao Xiao (WWW, 2021)

AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. - Trong Nghia Hoang; Shenda Hong; Cao Xiao; Bryan Low; Jimeng Sun 001 (WWW, 2021)

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. - Muchao Ye; Suhan Cui; Yaqing Wang; Junyu Luo 001; Cao Xiao; Fenglong Ma (WWW, 2021)

DeepPurpose: a deep learning library for drug-target interaction prediction. - Kexin Huang; Tianfan Fu; Lucas M. Glass; Marinka Zitnik; Cao Xiao; Jimeng Sun 001 (Bioinform., 2021)

MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. - Kexin Huang; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (Bioinform., 2021)

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. - Yue Yu; Kexin Huang; Chao Zhang 014; Lucas M. Glass; Jimeng Sun 001; Cao Xiao (Bioinform., 2021)

PyHealth: A Python Library for Health Predictive Models. - Yue Zhao 016; Zhi Qiao 007; Cao Xiao; Lucas Glass; Jimeng Sun 001 (CoRR, 2021)

HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. - Tianfan Fu; Kexin Huang; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (CoRR, 2021)

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. - Kexin Huang; Tianfan Fu; Wenhao Gao 001; Yue Zhao 016; Yusuf Roohani; Jure Leskovec; Connor W. Coley; Cao Xiao; Jimeng Sun 001; Marinka Zitnik (CoRR, 2021)

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. - Chaoqi Yang; Cao Xiao; Fenglong Ma; Lucas Glass; Jimeng Sun 001 (CoRR, 2021)

Augmented Tensor Decomposition with Stochastic Optimization. - Chaoqi Yang; Cheng Qian 001; Navjot Singh; Cao Xiao; M. Brandon Westover; Edgar Solomonik; Jimeng Sun 001 (CoRR, 2021)

Differentiable Scaffolding Tree for Molecular Optimization. - Tianfan Fu; Wenhao Gao 001; Cao Xiao; Jacob Yasonik; Connor W. Coley; Jimeng Sun 001 (CoRR, 2021)

Self-supervised EEG Representation Learning for Automatic Sleep Staging. - Chaoqi Yang; Cao (Danica) Xiao; M. Brandon Westover; Jimeng Sun 001 (CoRR, 2021)

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. - Muchao Ye; Junyu Luo 001; Guanjie Zheng; Cao Xiao; Ting Wang 006; Fenglong Ma (CoRR, 2021)

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence. - Junyi Gao; Rakshith Sharma Srinivasa; Cheng Qian 001; Lucas M. Glass; Jeffrey Spaeder; Justin Romberg; Jimeng Sun 001; Cao Xiao (J. Am. Medical Informatics Assoc., 2021)

FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection. - Zhi Qiao 007; Austin Bae; Lucas M. Glass; Cao Xiao; Jimeng Sun 001 (J. Am. Medical Informatics Assoc., 2021)

Machine learning applications for therapeutic tasks with genomics data. - Kexin Huang; Cao Xiao; Lucas M. Glass; Cathy W. Critchlow; Greg Gibson; Jimeng Sun 001 (Patterns, 2021)

An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction. - Cao Xiao; Shouyi Wang; Leonidas D. Iasemidis; Stephen Wong; Wanpracha Art Chaovalitwongse (IEEE Trans. Big Data, 2021)

SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. - Zhen Lin; Lucas Glass; M. Brandon Westover; Cao Xiao; Jimeng Sun 001 (AAAI, 2022)

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. - Muchao Ye; Junyu Luo 001; Guanjie Zheng; Cao Xiao; Houping Xiao; Ting Wang 006; Fenglong Ma (BIBM, 2022)

Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. - Junyu Luo 001; Junxian Lin; Chi Lin 001; Cao Xiao; Xinning Gui; Fenglong Ma (COLING, 2022)

Differentiable Scaffolding Tree for Molecule Optimization. - Tianfan Fu; Wenhao Gao 001; Cao Xiao; Jacob Yasonik; Connor W. Coley; Jimeng Sun 001 (ICLR, 2022)

ATD: Augmenting CP Tensor Decomposition by Self Supervision. - Chaoqi Yang; Cheng Qian 001; Navjot Singh; Cao (Danica) Xiao; M. Brandon Westover; Edgar Solomonik; Jimeng Sun 001 (NeurIPS, 2022)

AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. - Zhenbang Wu; Cao Xiao; Lucas M. Glass; David M. Liebovitz; Jimeng Sun 001 (ECML/PKDD (2), 2022)

PopNet: Real-Time Population-Level Disease Prediction with Data Latency. - Junyi Gao; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (WWW, 2022)

Clinical trial site matching with improved diversity using fair policy learning. - Rakshith Sharma Srinivasa; Cheng Qian 001; Brandon Theodorou; Jeffrey Spaeder; Cao Xiao; Lucas Glass; Jimeng Sun 001 (CoRR, 2022)

HINT: Hierarchical interaction network for clinical-trial-outcome predictions. - Tianfan Fu; Kexin Huang; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (Patterns, 2022)

MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. - Tianfan Fu; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (IEEE Trans. Knowl. Data Eng., 2022)

CHEER: Rich Model Helps Poor Model via Knowledge Infusion. - Cao Xiao; Trong Nghia Hoang; Shenda Hong; Tengfei Ma 001; Jimeng Sun 001 (IEEE Trans. Knowl. Data Eng., 2022)

SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. - Zifeng Wang 010; Cao Xiao; Jimeng Sun 001 (BCB, 2023)

TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network. - Brandon Philip Theodorou; Cao Xiao; Jimeng Sun 001 (BCB, 2023)

ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. - Junyu Luo 001; Zhi Qiao 007; Lucas Glass; Cao Xiao; Fenglong Ma (CIKM, 2023)

AutoTrial: Prompting Language Models for Clinical Trial Design. - Zifeng Wang 010; Cao Xiao; Jimeng Sun 001 (EMNLP, 2023)

Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. - Zhen Lin; Shubhendu Trivedi; Cao Xiao; Jimeng Sun 001 (ICML, 2023)

MedLink: De-Identified Patient Health Record Linkage. - Zhenbang Wu; Cao Xiao; Jimeng Sun 001 (KDD, 2023)

Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model. - Brandon Theodorou; Cao Xiao; Jimeng Sun 001 (CoRR, 2023)

AnyPredict: Foundation Model for Tabular Prediction. - Zifeng Wang 010; Chufan Gao; Cao Xiao; Jimeng Sun 001 (CoRR, 2023)

GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs. - Pengcheng Jiang; Cao Xiao; Adam Cross; Jimeng Sun 001 (CoRR, 2023)

PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development. - Zifeng Wang 010; Brandon Theodorou; Tianfan Fu; Cao Xiao; Jimeng Sun 001 (CoRR, 2023)

Zero-Resource Hallucination Prevention for Large Language Models. - Junyu Luo 001; Cao Xiao; Fenglong Ma (CoRR, 2023)

ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. - Brandon Theodorou; Shrusti Jain; Cao Xiao; Jimeng Sun 001 (AAAI, 2024)

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. - Xiaochen Wang; Junyu Luo 001; Jiaqi Wang 002; Yuan Zhong; Xiaokun Zhang; Yaqing Wang; Parminder Bhatia; Cao Xiao; Fenglong Ma (ACL (1), 2024)

GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs. - Pengcheng Jiang; Cao Xiao; Adam Cross; Jimeng Sun 001 (ICLR, 2024)

Certifiably Byzantine-Robust Federated Conformal Prediction. - Mintong Kang; Zhen Lin; Jimeng Sun 001; Cao Xiao; Bo Li 026 (ICML, 2024)

Recent Advances in Predictive Modeling with Electronic Health Records. - Jiaqi Wang 002; Junyu Luo 001; Muchao Ye; Xiaochen Wang; Yuan Zhong; Aofei Chang; Guanjie Huang; Ziyi Yin 003; Cao Xiao; Jimeng Sun 001; Fenglong Ma (IJCAI, 2024)

MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. - Zifeng Wang 010; Chufan Gao; Cao Xiao; Jimeng Sun 001 (IJCAI, 2024)

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. - Yuan Zhong; Xiaochen Wang; Jiaqi Wang 002; Xiaokun Zhang; Yaqing Wang; Mengdi Huai; Cao Xiao; Fenglong Ma (KDD, 2024)

PILOT: Legal Case Outcome Prediction with Case Law. - Lang Cao; Zifeng Wang 010; Cao Xiao; Jimeng Sun 001 (NAACL-HLT, 2024)

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. - Pengcheng Jiang; Cao Xiao; Zifeng Wang 010; Parminder Bhatia; Jimeng Sun 001; Jiawei Han 001 (NAACL-HLT, 2024)

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. - Xiyao Wang; Jiuhai Chen; Zhaoyang Wang; Yuhang Zhou; Yiyang Zhou; Huaxiu Yao; Tianyi Zhou 001; Tom Goldstein; Parminder Bhatia; Furong Huang; Cao Xiao (CoRR, 2024)

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. - Pengcheng Jiang; Lang Cao; Cao Xiao; Parminder Bhatia; Jimeng Sun 001; Jiawei Han 001 (CoRR, 2024)

TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets. - Jintai Chen; Yaojun Hu; Yue Wang; Yingzhou Lu; Xu Cao; Miao Lin; Hongxia Xu; Jian Wu 001; Cao Xiao; Jimeng Sun 001; Lucas Glass; Kexin Huang; et al. (CoRR, 2024)

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Jackson Taylor; Cao Xiao; Feng Zheng; Weiwen Jiang; Shangqian Gao; Yanfu Zhang (CoRR, 2024)

FRAMM: Fair ranking with missing modalities for clinical trial site selection. - Brandon Theodorou; Lucas Glass; Cao Xiao; Jimeng Sun 001 (Patterns, 2024)