Xiao, Cao

41 publications

NeurIPS 2025 Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-Based Bias Detector Haoyan Yang, Runxue Bao, Cao Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha Kass-Hout

AAAI 2025 Bi-Level Contrastive Learning for Knowledge-Enhanced Molecule Representations Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han

NeurIPS 2025 Deep Continuous-Time State-Space Models for Marked Event Sequences Yuxin Chang, Alex James Boyd, Cao Xiao, Taha Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington

CVPR 2025 Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-Supervised Medical Image Segmentation Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha Kass-Hout

ICLR 2025 Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han

ICML 2024 Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li

AAAI 2024 ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun

ICLR 2024 GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs Pengcheng Jiang, Cao Xiao, Adam Richard Cross, Jimeng Sun

NeurIPS 2024 KG-FIT: Knowledge Graph Fine-Tuning upon Open-World Knowledge Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han

IJCAI 2024 MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun

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

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

NeurIPS 2022 ATD: Augmenting CP Tensor Decomposition by Self Supervision Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M Westover, Edgar Solomonik, Jimeng Sun

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

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

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

IJCAI 2021 Change Matters: Medication Change Prediction with Recurrent Residual Networks Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun

MLHC 2021 EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Cao Xiao, Jimeng Sun

AAAI 2021 MIMOSA: Multi-Constraint Molecule Sampling for Molecule Optimization Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun

IJCAI 2021 Multi-Version Tensor Completion for Time-Delayed Spatio-Temporal Data Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun

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

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

AAAI 2020 CASTER: Predicting Drug Interactions with Chemical Substructure Representation Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun

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

AAAI 2020 CORE: Automatic Molecule Optimization Using Copy & Refine Strategy Tianfan Fu, Cao Xiao, Jimeng Sun

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

IJCAI 2019 DDL: Deep Dictionary Learning for Predictive Phenotyping Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun

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

AAAI 2019 GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

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

IJCAI 2019 Pre-Training of Graph Augmented Transformers for Medication Recommendation Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun

IJCAI 2019 RDPD: Rich Data Helps Poor Data via Imitation Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun

MLHC 2019 SLEEPER: Interpretable Sleep Staging via Prototypes from Expert Rules Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun

NeurIPS 2018 Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma, Jie Chen, Cao Xiao

IJCAI 2018 Drug Similarity Integration Through Attentive Multi-View Graph Auto-Encoders Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang

ICLR 2018 FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen, Tengfei Ma, Cao Xiao

NeurIPS 2018 MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare Edward Choi, Cao Xiao, Walter Stewart, Jimeng Sun

IJCAI 2018 Pairwise-Ranking Based Collaborative Recurrent Neural Networks for Clinical Event Prediction Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang

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

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

AAAI 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 R. Bowen, Wanpracha Art Chaovalitwongse