| 2026 | DATE | Fault-tolerance Mapping of Spiking Neural Networks to RRAM-based Neuromorphic Hardware. | Yuqing Xiong, Cao Xiao, Zhijie Yang, Lei Wang, Mengying Zhao |
| 2025 | AAAI | 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 |
| 2025 | ACL | Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning. | Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Fenglong Ma |
| 2025 | CVPR | 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 A. Kass-Hout |
| 2025 | ICLR | Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. | Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han |
| 2025 | KDD | A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare. | Ran Xu, Patrick Jiang, Linhao Luo, Cao Xiao, Adam Cross, Shirui Pan, Jimeng Sun, Carl Yang |
| 2025 | KDD | FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images. | Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao |
| 2025 | NAACL | 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, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao |
| 2025 | NAACL | Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs. | Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao |
| 2024 | AAAI | ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. | Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun |
| 2024 | ACL | Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. | Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma |
| 2024 | EMNLP | Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. | Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang |
| 2024 | EMNLP | Zero-Resource Hallucination Prevention for Large Language Models. | Junyu Luo, Cao Xiao, Fenglong Ma |
| 2024 | EMNLP | BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. | Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma |
| 2024 | ICLR | GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs. | Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun |
| 2024 | ICML | Certifiably Byzantine-Robust Federated Conformal Prediction. | Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li |
| 2024 | IJCAI | 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 |
| 2024 | IJCAI | MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. | Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun |
| 2024 | KDD | Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. | Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma |
| 2024 | NAACL | PILOT: Legal Case Outcome Prediction with Case Law. | Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun |
| 2024 | NAACL | TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. | Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han |
| 2023 | CIKM | ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. | Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma |
| 2023 | EMNLP | AutoTrial: Prompting Language Models for Clinical Trial Design. | Zifeng Wang, Cao Xiao, Jimeng Sun |
| 2023 | ICML | Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. | Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun |
| 2023 | KDD | MedLink: De-Identified Patient Health Record Linkage. | Zhenbang Wu, Cao Xiao, Jimeng Sun |
| 2022 | AAAI | SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. | Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun |
| 2022 | COLING | Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. | Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma |
| 2022 | ICLR | Differentiable Scaffolding Tree for Molecule Optimization. | Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun |
| 2022 | WWW | PopNet: Real-Time Population-Level Disease Prediction with Data Latency. | Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun |
| 2021 | AAAI | MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. | Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun |
| 2021 | AAAI | STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. | Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun |
| 2021 | ACL | Fusion: Towards Automated ICD Coding via Feature Compression. | Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma |
| 2021 | CIKM | MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. | Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2021 | IJCAI | Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. | Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun |
| 2021 | IJCAI | Change Matters: Medication Change Prediction with Recurrent Residual Networks. | Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun |
| 2021 | IJCAI | SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. | Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun |
| 2021 | KDD | Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. | Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun |
| 2021 | KDD | Advances in Mining Heterogeneous Healthcare Data. | Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun |
| 2021 | KDD | MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. | Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun |
| 2021 | WWW | UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. | Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao |
| 2021 | WWW | 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 |
| 2021 | WWW | MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. | Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2020 | AAAI | Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. | Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun |
| 2020 | AAAI | CONAN: Complementary Pattern Augmentation for Rare Disease Detection. | Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao |
| 2020 | AAAI | CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. | Tianfan Fu, Cao Xiao, Jimeng Sun |
| 2020 | AAAI | CASTER: Predicting Drug Interactions with Chemical Substructure Representation. | Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun |
| 2020 | CIKM | LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. | Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2020 | KDD | COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. | Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun |
| 2020 | KDD | HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. | Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma |
| 2020 | WWW | Clinical Report Auto-completion. | Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun |
| 2020 | WWW | REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. | Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun |
| 2020 | WWW | StageNet: Stage-Aware Neural Networks for Health Risk Prediction. | Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun |
| 2020 | WWW | Patient-Trial Matching with Deep Embedding and Entailment Prediction. | Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun |
| 2019 | AAAI | GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. | Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | IJCAI | DDL: Deep Dictionary Learning for Predictive Phenotyping. | Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun |
| 2019 | IJCAI | RDPD: Rich Data Helps Poor Data via Imitation. | Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | IJCAI | MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. | Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun |
| 2019 | IJCAI | Pre-training of Graph Augmented Transformers for Medication Recommendation. | Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun |
| 2019 | KDD | Retaining Privileged Information for Multi-Task Learning. | Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman |
| 2019 | KDD | Tutorial: Data Mining Methods for Drug Discovery and Development. | Cao Xiao, Jimeng Sun |
| 2019 | WWW | Longitudinal Adversarial Attack on Electronic Health Records Data. | Sungtae An, Cao Xiao, Walter F. Stewart, Jimeng Sun |
| 2018 | ICDM | Heterogeneous Hyper-Network Embedding. | Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou |
| 2018 | ICLR | FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. | Jie Chen, Tengfei Ma, Cao Xiao |
| 2018 | IJCAI | Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. | Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang |
| 2018 | IJCAI | Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. | Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang |
| 2018 | SDM | Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction. | Tengfei Ma, Cao Xiao, Fei Wang |
| 2017 | AAAI | 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 |
| 2017 | AAAI | Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. | Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang |
| 2017 | AMIA | Subtyping Parkinson's Disease with Recurrent Neural Network Models. | Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, Fei Wang |
| 2017 | KDD | Patient Subtyping via Time-Aware LSTM Networks. | Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou |
| 2017 | SDM | An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. | Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang |
| 2016 | AAAI | 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 |
| 2015 | CCS | Detecting Clusters of Fake Accounts in Online Social Networks. | Cao Xiao, David Mandell Freeman, Theodore Hwa |