Cao Xiao

200 papers A* 54A 5B 1Misc 1Journal 109Unranked 29
YearRankTypeTitle / Venue / Authors
2025 — conf
A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare.
KDD (2)
Ran Xu, Patrick Jiang, Linhao Luo, Cao Xiao, Adam Cross, Shirui Pan, Jimeng Sun, Carl Yang
2025 J jnl
A perspective for adapting generalist AI to specialized medical AI applications and their challenges.
npj Digit. Medicine
Zifeng Wang, Hanyin Wang, Benjamin P. Danek, Ying Li, Christina Mack, Luk Arbuckle, Devyani Biswal, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Cao Xiao, Jimeng Sun
2025 J jnl
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector.
CoRR
Haoyan Yang, Runxue Bao, Cao Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha A. Kass-Hout
2025 A* conf
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations.
AAAI
Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han
2025 — conf
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs.
NAACL (Long Papers)
Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao
2025 A* conf
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation.
CVPR
Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha A. Kass-Hout
2025 J jnl
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation.
CoRR
Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha A. Kass-Hout
2025 — conf
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.
NAACL (Findings)
Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao
2025 — conf
FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images.
KDD (2)
Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao
2025 — conf
Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning.
ACL (1)
Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Fenglong Ma
2025 J jnl
Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning.
CoRR
Aofei Chang, Le Huang, Alex J. Boyd, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Fenglong Ma
2025 J jnl
MammoDINO: Anatomically Aware Self-Supervision for Mammographic Images.
CoRR
Sicheng Zhou, Lei Wu, Cao Xiao, Parminder Bhatia, Taha A. Kass-Hout
2025 J jnl
MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models.
CoRR
Aofei Chang, Le Huang, Parminder Bhatia, Taha A. Kass-Hout, Fenglong Ma, Cao Xiao
2025 J jnl
MediSim: Multi-granular simulation for enriching longitudinal, multi-modal electronic health records.
Patterns
Brandon Theodorou, Cao Xiao, Lucas Glass, Jimeng Sun
2025 A* conf
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval.
ICLR
Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han
2025 J jnl
ST-PPO: Stabilized Off-Policy Proximal Policy Optimization for Multi-Turn Agents Training.
CoRR
Chenliang Li, Adel Elmahdy, Alex Boyd, Zhongruo Wang, Alfredo García, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Mingyi Hong
2024 — conf
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models.
EMNLP (Findings)
Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024 J jnl
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models.
CoRR
Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024 A* conf
Certifiably Byzantine-Robust Federated Conformal Prediction.
ICML
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
2024 J jnl
Certifiably Byzantine-Robust Federated Conformal Prediction.
CoRR
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
2024 A* conf
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation.
AAAI
Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun
2024 J jnl
Deep Linear Hawkes Processes.
CoRR
Yuxin Chang, Alex Boyd, Cao Xiao, Taha A. Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington
2024 J jnl
Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs.
CoRR
Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao
2024 J jnl
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.
CoRR
Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao
2024 J jnl
FRAMM: Fair ranking with missing modalities for clinical trial site selection.
Patterns
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
2024 A* conf
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs.
ICLR
Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun
2024 J jnl
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge.
CoRR
Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024 A* conf
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement.
IJCAI
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
2024 — conf
PILOT: Legal Case Outcome Prediction with Case Law.
NAACL-HLT
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun
2024 J jnl
PILOT: Legal Case Outcome Prediction with Case Law.
CoRR
Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun
2024 J jnl
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval.
CoRR
Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han
2024 A* conf
Recent Advances in Predictive Modeling with Electronic Health Records.
IJCAI
Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
2024 J jnl
Recent Advances in Predictive Modeling with Electronic Health Records.
CoRR
Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
2024 J jnl
Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images.
CoRR
Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao
2024 A* conf
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.
KDD
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024 J jnl
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.
CoRR
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024 — conf
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.
NAACL-HLT
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024 J jnl
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.
CoRR
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
2024 J jnl
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets.
CoRR
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
2024 — conf
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.
ACL (1)
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma
2024 A* conf
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.
EMNLP
Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang
2024 J jnl
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting.
CoRR
Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang
2024 — conf
Zero-Resource Hallucination Prevention for Large Language Models.
EMNLP (Findings)
Junyu Luo, Cao Xiao, Fenglong Ma
2023 J jnl
AnyPredict: Foundation Model for Tabular Prediction.
CoRR
Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
2023 A* conf
AutoTrial: Prompting Language Models for Clinical Trial Design.
EMNLP
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 J jnl
AutoTrial: Prompting Language Models for Clinical Trial Design.
CoRR
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 A conf
ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons.
CIKM
Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma
2023 J jnl
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation.
CoRR
Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun
2023 J jnl
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection.
CoRR
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
2023 A* conf
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control.
ICML
Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun
2023 J jnl
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control.
CoRR
Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun
2023 J jnl
GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs.
CoRR
Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun
2023 A* conf
MedLink: De-Identified Patient Health Record Linkage.
KDD
Zhenbang Wu, Cao Xiao, Jimeng Sun
2023 J jnl
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development.
CoRR
Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun
2023 — conf
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.
BCB
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 J jnl
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning.
CoRR
Zifeng Wang, Cao Xiao, Jimeng Sun
2023 J jnl
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model.
CoRR
Brandon Theodorou, Cao Xiao, Jimeng Sun
2023 J jnl
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network.
CoRR
Brandon Theodorou, Cao Xiao, Jimeng Sun
2023 — conf
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network.
BCB
Brandon Philip Theodorou, Cao Xiao, Jimeng Sun
2023 J jnl
Zero-Resource Hallucination Prevention for Large Language Models.
CoRR
Junyu Luo, Cao Xiao, Fenglong Ma
2022 — conf
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment.
ECML/PKDD (2)
Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun
2022 J jnl
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment.
CoRR
Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun
2022 B conf
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation.
COLING
Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma
2022 J jnl
CHEER: Rich Model Helps Poor Model via Knowledge Infusion.
IEEE Trans. Knowl. Data Eng.
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
2022 J jnl
Clinical trial site matching with improved diversity using fair policy learning.
CoRR
Rakshith Sharma Srinivasa, Cheng Qian, Brandon Theodorou, Jeffrey Spaeder, Cao Xiao, Lucas Glass, Jimeng Sun
2022 A* conf
Differentiable Scaffolding Tree for Molecule Optimization.
ICLR
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
2022 J jnl
HINT: Hierarchical interaction network for clinical-trial-outcome predictions.
Patterns
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
2022 J jnl
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization.
IEEE Trans. Knowl. Data Eng.
Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun
2022 — conf
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.
BIBM
Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma
2022 A* conf
PopNet: Real-Time Population-Level Disease Prediction with Data Latency.
WWW
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2022 J jnl
PopNet: Real-Time Population-Level Disease Prediction with Data Latency.
CoRR
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2022 A* conf
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models.
AAAI
Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun
2021 A* conf
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings.
WWW
Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun
2021 A* conf
Advances in Mining Heterogeneous Healthcare Data.
KDD
Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun
2021 J jnl
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction.
IEEE Trans. Big Data
Cao Xiao, Shouyi Wang, Leonidas D. Iasemidis, Stephen Wong, Wanpracha Art Chaovalitwongse
2021 J jnl
Augmented Tensor Decomposition with Stochastic Optimization.
CoRR
Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun
2021 — conf
CUP: Cluster Pruning for Compressing Deep Neural Networks.
IEEE BigData
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
2021 A* conf
Change Matters: Medication Change Prediction with Recurrent Residual Networks.
IJCAI
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
2021 J jnl
Change Matters: Medication Change Prediction with Recurrent Residual Networks.
CoRR
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
2021 J jnl
DeepPurpose: a deep learning library for drug-target interaction prediction.
Bioinform.
Kexin Huang, Tianfan Fu, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun
2021 J jnl
Differentiable Scaffolding Tree for Molecular Optimization.
CoRR
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
2021 — conf
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders.
MLHC
Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley A. Malin, Walter F. Stewart, Cao Xiao, Jimeng Sun
2021 J jnl
FLANNEL (Focal Loss bAsed Neural Network EnsembLe) for COVID-19 detection.
J. Am. Medical Informatics Assoc.
Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun
2021 — conf
Fusion: Towards Automated ICD Coding via Feature Compression.
ACL/IJCNLP (Findings)
Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
2021 J jnl
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data.
CoRR
Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
2021 — book
Introduction to Deep Learning for Healthcare
Cao Xiao, Jimeng Sun
2021 A* conf
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization.
AAAI
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
2021 A* conf
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations.
KDD
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
2021 J jnl
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations.
CoRR
Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun
2021 J jnl
Machine Learning Applications for Therapeutic Tasks with Genomics Data.
CoRR
Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
2021 J jnl
Machine learning applications for therapeutic tasks with genomics data.
Patterns
Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun
2021 J jnl
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare.
CoRR
Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma
2021 A* conf
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.
WWW
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
2021 A conf
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.
CIKM
Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
2021 J jnl
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction.
Bioinform.
Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun
2021 A* conf
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data.
IJCAI
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
2021 J jnl
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data.
CoRR
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
2021 A* conf
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery.
KDD
Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun
2021 J jnl
PyHealth: A Python Library for Health Predictive Models.
CoRR
Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun
2021 J jnl
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models.
CoRR
Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
2021 — conf
SPEAR: self-supervised post-training enhancer for molecule optimization.
BCB
Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun
2021 J jnl
STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.
J. Am. Medical Informatics Assoc.
Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
2021 A* conf
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization.
AAAI
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
2021 — conf
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.
MLSys
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
2021 A* conf
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations.
IJCAI
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
2021 J jnl
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations.
CoRR
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
2021 J jnl
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.
Bioinform.
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
2021 — conf
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development.
NeurIPS Datasets and Benchmarks
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
2021 J jnl
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics.
CoRR
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf H. Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
2021 A* conf
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.
WWW
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
2020 J jnl
A Benchmark Dataset for Understandable Medical Language Translation.
CoRR
Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma
2020 A* conf
CASTER: Predicting Drug Interactions with Chemical Substructure Representation.
AAAI
Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun
2020 J jnl
CHEER: Rich Model Helps Poor Model via Knowledge Infusion.
CoRR
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
2020 J jnl
CLARA: Clinical Report Auto-completion.
CoRR
Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun
2020 A* conf
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching.
KDD
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 J jnl
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching.
CoRR
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 A* conf
CONAN: Complementary Pattern Augmentation for Rare Disease Detection.
AAAI
Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao
2020 A* conf
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy.
AAAI
Tianfan Fu, Cao Xiao, Jimeng Sun
2020 A* conf
Clinical Report Auto-completion.
WWW
Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
2020 J jnl
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction.
CoRR
Xingyao Zhang, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 J jnl
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.
CoRR
Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun
2020 J jnl
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data.
CoRR
Yanbo Xu, Cao Xiao, Jimeng Sun
2020 A* conf
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment.
AAAI
Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun
2020 J jnl
Dr. Agent: Clinical predictive model via mimicked second opinions.
J. Am. Medical Informatics Assoc.
Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 J jnl
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection.
CoRR
Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun
2020 J jnl
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification.
CoRR
Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun
2020 A* conf
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records.
KDD
Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma
2020 A conf
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction.
CIKM
Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma
2020 J jnl
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization.
CoRR
Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun
2020 J jnl
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning.
CoRR
Kexin Huang, Tianfan Fu, Dawood Khan, Ali Abid, Ali Abdalla, Abubakar Abid, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun
2020 J jnl
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction.
CoRR
Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun
2020 J jnl
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review.
CoRR
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
2020 J jnl
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.
Comput. Biol. Medicine
Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun
2020 J jnl
Optimal collection of medical specimens and delivery to central laboratory.
Ann. Oper. Res.
Zelda B. Zabinsky, Pattamon Dulyakupt, Shabnam Zangeneh-Khamooshi, Cao Xiao, Pengbo Zhang, Seksan Kiatsupaibul, Joseph A. Heim
2020 A* conf
Patient-Trial Matching with Deep Embedding and Entailment Prediction.
WWW
Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun
2020 A* conf
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.
WWW
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
2020 J jnl
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.
CoRR
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
2020 J jnl
STAN: Spatio-Temporal Attention Network for Pandemic Prediction Using Real World Evidence.
CoRR
Junyi Gao, Rakshith Sharma Srinivasa, Cheng Qian, Lucas M. Glass, Jeffrey Spaeder, Justin Romberg, Jimeng Sun, Cao Xiao
2020 J jnl
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization.
CoRR
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
2020 J jnl
SUOD: A Scalable Unsupervised Outlier Detection Framework.
CoRR
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu
2020 J jnl
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks.
CoRR
Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun
2020 A* conf
StageNet: Stage-Aware Neural Networks for Health Risk Prediction.
WWW
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
2020 J jnl
StageNet: Stage-Aware Neural Networks for Health Risk Prediction.
CoRR
Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun
2020 J jnl
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization.
CoRR
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
2020 — conf
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.
IEEE BigData
Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang
2020 J jnl
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.
CoRR
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
2020 — conf
α-MOP: Molecule optimization with α-divergence.
BIBM
Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun
2019 J jnl
CASTER: Predicting Drug Interactions with Chemical Substructure Representation.
CoRR
Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun
2019 J jnl
CONAN: Complementary Pattern Augmentation for Rare Disease Detection.
CoRR
Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao
2019 J jnl
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy.
CoRR
Tianfan Fu, Cao Xiao, Jimeng Sun
2019 J jnl
CUP: Cluster Pruning for Compressing Deep Neural Networks.
CoRR
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun
2019 A* conf
DDL: Deep Dictionary Learning for Predictive Phenotyping.
IJCAI
Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun
2019 J jnl
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment.
CoRR
Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun
2019 — conf
EEGtoText: Learning to Write Medical Reports from EEG Recordings.
MLHC
Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun
2019 A* conf
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
AAAI
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.
CoRR
Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun
2019 J jnl
Improved Maximum Margin Clustering via the Bundle Method.
IEEE Access
Jianqiang Li, Jingchao Sun, Lu Liu, Bo Liu, Cao Xiao, Fei Wang
2019 A* conf
Longitudinal Adversarial Attack on Electronic Health Records Data.
WWW
Sungtae An, Cao Xiao, Walter F. Stewart, Jimeng Sun
2019 A* conf
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.
IJCAI
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.
CoRR
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 — conf
PEARL: Prototype Learning via Rule Learning.
BCB
Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun
2019 — conf
PEARL: Prototype Learning via Rule Learning.
BCB
Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun
2019 A* conf
Pre-training of Graph Augmented Transformers for Medication Recommendation.
IJCAI
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
2019 J jnl
Pre-training of Graph Augmented Transformers for Medication Recommendation.
CoRR
Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun
2019 J jnl
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model.
CoRR
Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
2019 A* conf
RDPD: Rich Data Helps Poor Data via Imitation.
IJCAI
Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun
2019 J jnl
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks.
CoRR
Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun
2019 A* conf
Retaining Privileged Information for Multi-Task Learning.
KDD
Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman
2019 — conf
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules.
MLHC
Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun
2019 J jnl
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules.
CoRR
Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun
2019 A* conf
Tutorial: Data Mining Methods for Drug Discovery and Development.
KDD
Cao Xiao, Jimeng Sun
2018 J jnl
AWE: Asymmetric Word Embedding for Textual Entailment.
CoRR
Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun
2018 A* conf
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders.
NeurIPS
Tengfei Ma, Jie Chen, Cao Xiao
2018 J jnl
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders.
CoRR
Tengfei Ma, Jie Chen, Cao Xiao
2018 A* conf
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.
IJCAI
Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
2018 J jnl
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders.
CoRR
Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
2018 — conf
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.
ICLR (Poster)
Jie Chen, Tengfei Ma, Cao Xiao
2018 J jnl
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.
CoRR
Jie Chen, Tengfei Ma, Cao Xiao
2018 J jnl
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination.
CoRR
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2018 A conf
Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction.
SDM
Tengfei Ma, Cao Xiao, Fei Wang
2018 A* conf
Heterogeneous Hyper-Network Embedding.
ICDM
Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou
2018 A* conf
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare.
NeurIPS
Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun
2018 J jnl
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare.
CoRR
Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun
2018 J jnl
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review.
J. Am. Medical Informatics Assoc.
Cao Xiao, Edward Choi, Jimeng Sun
2018 J jnl
Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification.
IEEE Trans Autom. Sci. Eng.
Cao Xiao, Yan Jin, Ji Liu, Bo Zeng, Shuai Huang
2018 A* conf
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction.
IJCAI
Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang
2018 J jnl
RDPD: Rich Data Helps Poor Data via Imitation.
CoRR
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun
2018 J jnl
Switching-State Dynamical Modeling of Daily Behavioral Data.
J. Heal. Informatics Res.
Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian
2017 A* conf
Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation.
AAAI
Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang
2017 A conf
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.
SDM
Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang
2017 A* conf
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction.
AAAI
Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang
2017 A* conf
Patient Subtyping via Time-Aware LSTM Networks.
KDD
Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou
2017 Misc conf
Subtyping Parkinson's Disease with Recurrent Neural Network Models.
AMIA
Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, Fei Wang
2017 J jnl
Unsupervised Sequential Outlier Detection With Deep Architectures.
IEEE Trans. Image Process.
Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang
2016 — conf
A Novel Mutual-Information-Guided Sparse Feature Selection Approach for Epilepsy Diagnosis Using Interictal EEG Signals.
BIH
Shouyi Wang, Cao Xiao, Jeffrey J. Tsai, Wanpracha Art Chaovalitwongse, Thomas J. Grabowski
2016 J jnl
A Patient-Specific Model for Predicting Tibia Soft Tissue Insertions From Bony Outlines Using a Spatial Structure Supervised Learning Framework.
IEEE Trans. Hum. Mach. Syst.
Cao Xiao, Shouyi Wang, Liying Zheng, Xudong Zhang, Wanpracha Art Chaovalitwongse
2016 A* conf
An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction.
AAAI
Shouyi Wang, KinMing Kam, Cao Xiao, Stephen R. Bowen, Wanpracha Art Chaovalitwongse
2016 J jnl
An integrated feature ranking and selection framework for ADHD characterization.
Brain Informatics
Cao Xiao, Jesse Bledsoe, Shouyi Wang, Wanpracha Art Chaovalitwongse, Sonya H. Mehta, Margaret Semrud-Clikeman, Thomas J. Grabowski
2016 J jnl
Optimization Models for Feature Selection of Decomposed Nearest Neighbor.
IEEE Trans. Syst. Man Cybern. Syst.
Cao Xiao, Wanpracha Art Chaovalitwongse
2015 — conf
Detecting Clusters of Fake Accounts in Online Social Networks.
AISec@CCS
Cao Xiao, David Mandell Freeman, Theodore Hwa