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2020 – today
- 2024
[j22]Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
:
FRAMM: Fair ranking with missing modalities for clinical trial site selection. Patterns 5(3): 100944 (2024)- [c84]Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun:
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. AAAI 2024: 15355-15363 - [c83]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: 3644-3656 - [c82]Junyu Luo, Cao Xiao, Fenglong Ma:
Zero-Resource Hallucination Prevention for Large Language Models. EMNLP (Findings) 2024: 3586-3602 - [c81]Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma:
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. EMNLP (Findings) 2024: 7429-7440 - [c80]Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang:
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. EMNLP 2024: 9782-9796 - [c79]Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun:
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs. ICLR 2024 - [c78]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. ICML 2024 - [c77]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. IJCAI 2024: 6062-6070 - [c76]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. IJCAI 2024: 8272-8280 - [c75]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: 4607-4618 - [c74]Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun:
PILOT: Legal Case Outcome Prediction with Case Law. NAACL-HLT 2024: 609-621 - [c73]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: 2805-2819 - [i79]Lang Cao, Zifeng Wang, Cao Xiao, Jimeng Sun:
PILOT: Legal Case Outcome Prediction with Case Law. CoRR abs/2401.15770 (2024) - [i78]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 abs/2402.01077 (2024) - [i77]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR abs/2403.10351 (2024) - [i76]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 abs/2405.15973 (2024) - [i75]Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han:
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR abs/2405.16412 (2024) - [i74]Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li:
Certifiably Byzantine-Robust Federated Conformal Prediction. CoRR abs/2406.01960 (2024) - [i73]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 abs/2406.13942 (2024) - [i72]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 abs/2407.00631 (2024) - [i71]Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang:
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. CoRR abs/2409.13853 (2024) - [i70]Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han:
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. CoRR abs/2410.04585 (2024) - [i69]Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma:
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. CoRR abs/2410.09079 (2024) - [i68]Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha Kass-Hout, Hua Wei, Cao Xiao:
Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images. CoRR abs/2410.12831 (2024) - [i67]Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha Kass-Hout, Jiayu Zhou, Cao Xiao:
Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs. CoRR abs/2410.23605 (2024) - 2023
- [c72]Zifeng Wang, Cao Xiao, Jimeng Sun:
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. BCB 2023: 53:1-53:11 - [c71]Brandon Philip Theodorou, Cao Xiao, Jimeng Sun:
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-based Memory Network. BCB 2023: 55:1-55:9 - [c70]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: 5356-5360 - [c69]Zifeng Wang, Cao Xiao, Jimeng Sun:
AutoTrial: Prompting Language Models for Clinical Trial Design. EMNLP 2023: 12461-12472 - [c68]Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. ICML 2023: 21182-21203 - [c67]Zhenbang Wu, Cao Xiao, Jimeng Sun:
MedLink: De-Identified Patient Health Record Linkage. KDD 2023: 2672-2682 - [i66]Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. CoRR abs/2302.00839 (2023) - [i65]Brandon Theodorou, Cao Xiao, Jimeng Sun:
Synthesize Extremely High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model. CoRR abs/2304.02169 (2023) - [i64]Zifeng Wang, Cao Xiao, Jimeng Sun:
SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning. CoRR abs/2304.05352 (2023) - [i63]Zifeng Wang, Cao Xiao, Jimeng Sun:
AutoTrial: Prompting Language Models for Clinical Trial Design. CoRR abs/2305.11366 (2023) - [i62]Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun:
AnyPredict: Foundation Model for Tabular Prediction. CoRR abs/2305.12081 (2023) - [i61]Pengcheng Jiang, Cao Xiao, Adam Cross, Jimeng Sun:
GraphCare: Enhancing Healthcare Predictions with Open-World Personalized Knowledge Graphs. CoRR abs/2305.12788 (2023) - [i60]Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun:
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection. CoRR abs/2305.19407 (2023) - [i59]Zifeng Wang, Brandon Theodorou, Tianfan Fu, Cao Xiao, Jimeng Sun:
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development. CoRR abs/2306.04018 (2023) - [i58]Brandon Theodorou, Cao Xiao, Jimeng Sun:
TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network. CoRR abs/2307.09942 (2023) - [i57]Junyu Luo, Cao Xiao, Fenglong Ma:
Zero-Resource Hallucination Prevention for Large Language Models. CoRR abs/2309.02654 (2023) - [i56]Brandon Theodorou, Shrusti Jain, Cao Xiao, Jimeng Sun:
ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation. CoRR abs/2312.05964 (2023) - 2022
- [j21]Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical interaction network for clinical-trial-outcome predictions. Patterns 3(4): 100445 (2022) - [j20]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): 531-543 (2022) - [j19]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): 5459-5471 (2022) - [c66]Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun:
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI 2022: 7497-7505 - [c65]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: 1777-1780 - [c64]Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma:
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. COLING 2022: 3550-3562 - [c63]Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun:
Differentiable Scaffolding Tree for Molecule Optimization. ICLR 2022 - [c62]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
ATD: Augmenting CP Tensor Decomposition by Self Supervision. NeurIPS 2022 - [c61]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: 505-520 - [c60]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. WWW 2022: 2552-2562 - [i55]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
PopNet: Real-Time Population-Level Disease Prediction with Data Latency. CoRR abs/2202.03415 (2022) - [i54]Zhenbang Wu, Cao Xiao, Lucas M. Glass, David M. Liebovitz, Jimeng Sun:
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment. CoRR abs/2203.02446 (2022) - [i53]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 abs/2204.06501 (2022) - 2021
- [b1]Cao Xiao, Jimeng Sun:
Introduction to Deep Learning for Healthcare. Springer 2021, ISBN 978-3-030-82183-8, pp. 1-232 - [j18]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): 5545-5547 (2021) - [j17]Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for drug-target interaction prediction. Bioinform. 37(6): 830-836 (2021) - [j16]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): 2988-2995 (2021) - [j15]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): 444-452 (2021) - [j14]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): 733-743 (2021) - [j13]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): 100328 (2021) - [j12]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): 819-831 (2021) - [c59]Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. AAAI 2021: 125-133 - [c58]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: 4830-4837 - [c57]Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma:
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) 2021: 2096-2101 - [c56]Tianfan Fu, Cao Xiao, Kexin Huang, Lucas M. Glass, Jimeng Sun:
SPEAR: self-supervised post-training enhancer for molecule optimization. BCB 2021: 27:1-27:10 - [c55]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData 2021: 5102-5106 - [c54]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: 2414-2423 - [c53]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: 2906-2912 - [c52]Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. IJCAI 2021: 3728-3734 - [c51]Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI 2021: 3735-3741 - [c50]Tianfan Fu, Cao Xiao, Cheng Qian, Lucas M. Glass, Jimeng Sun:
Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery. KDD 2021: 404-414 - [c49]Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun:
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. KDD 2021: 1953-1963 - [c48]Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun:
Advances in Mining Heterogeneous Healthcare Data. KDD 2021: 4050-4051 - [c47]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: 260-282 - [c46]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 - [c45]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 - [c44]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW 2021: 217-226 - [c43]Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma:
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. WWW 2021: 1397-1409 - [c42]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: 3569-3581 - [i52]Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun:
PyHealth: A Python Library for Health Predictive Models. CoRR abs/2101.04209 (2021) - [i51]Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data. CoRR abs/2102.04252 (2021) - [i50]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 abs/2102.09548 (2021) - [i49]Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. CoRR abs/2103.03945 (2021) - [i48]Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun:
Machine Learning Applications for Therapeutic Tasks with Genomics Data. CoRR abs/2105.01171 (2021) - [i47]Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun:
Change Matters: Medication Change Prediction with Recurrent Residual Networks. CoRR abs/2105.01876 (2021) - [i46]Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. CoRR abs/2105.02711 (2021) - [i45]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR abs/2105.05326 (2021) - [i44]Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun:
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. CoRR abs/2106.07135 (2021) - [i43]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
Augmented Tensor Decomposition with Stochastic Optimization. CoRR abs/2106.07900 (2021) - [i42]Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun:
Differentiable Scaffolding Tree for Molecular Optimization. CoRR abs/2109.10469 (2021) - [i41]Chaoqi Yang, Cao (Danica) Xiao, M. Brandon Westover, Jimeng Sun:
Self-supervised EEG Representation Learning for Automatic Sleep Staging. CoRR abs/2110.15278 (2021) - [i40]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 abs/2112.06063 (2021) - 2020
- [j11]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): 537-564 (2020) - [j10]Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. Comput. Biol. Medicine 122: 103801 (2020) - [j9]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
Dr. Agent: Clinical predictive model via mimicked second opinions. J. Am. Medical Informatics Assoc. 27(7): 1084-1091 (2020) - [c41]Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. AAAI 2020: 557-564 - [c40]Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. AAAI 2020: 614-621 - [c39]Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. AAAI 2020: 638-645 - [c38]Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. AAAI 2020: 702-709 - [c37]Tianfan Fu, Cao Xiao, Lucas M. Glass, Jimeng Sun:
α-MOP: Molecule optimization with α-divergence. BIBM 2020: 240-244 - [c36]Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke A. Rundensteiner, Fei Wang:
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding. IEEE BigData 2020: 758-767 - [c35]Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma:
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. CIKM 2020: 1753-1762 - [c34]Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma:
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. KDD 2020: 647-656 - [c33]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. KDD 2020: 803-812 - [c32]Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. WWW 2020: 530-540 - [c31]Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
Clinical Report Auto-completion. WWW 2020: 541-550 - [c30]Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun:
Patient-Trial Matching with Deep Embedding and Entailment Prediction. WWW 2020: 1029-1037 - [c29]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: 1704-1714 - [i39]Shenda Hong, Yuxi Zhou, Junyuan Shang, Cao Xiao, Jimeng Sun:
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review. CoRR abs/2001.01550 (2020) - [i38]Xingyao Zhang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction. CoRR abs/2001.08179 (2020) - [i37]Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. CoRR abs/2001.10054 (2020) - [i36]Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR abs/2001.11363 (2020) - [i35]Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun:
CLARA: Clinical Report Auto-completion. CoRR abs/2002.11701 (2020) - [i34]Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu:
SUOD: A Scalable Unsupervised Outlier Detection Framework. CoRR abs/2003.05731 (2020) - [i33]Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun:
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit. CoRR abs/2004.08919 (2020) - [i32]Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun:
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. CoRR abs/2004.11424 (2020) - [i31]Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun:
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. CoRR abs/2004.14949 (2020) - [i30]Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun:
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. CoRR abs/2005.10918 (2020) - [i29]Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun:
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching. CoRR abs/2006.08765 (2020) - [i28]Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun:
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. CoRR abs/2006.08796 (2020) - [i27]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 abs/2008.04215 (2020) - [i26]Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao:
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization. CoRR abs/2010.01450 (2020) - [i25]Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. CoRR abs/2010.02318 (2020) - [i24]Kexin Huang, Tianfan Fu, Dawood Khan, Ali Abid, Ali Abdalla, Abubakar Abid, Lucas M. Glass, Marinka Zitnik, Cao Xiao, Jimeng Sun:
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning. CoRR abs/2010.03951 (2020) - [i23]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR abs/2010.11389 (2020) - [i22]Yanbo Xu, Cao Xiao, Jimeng Sun:
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data. CoRR abs/2010.15028 (2020) - [i21]Zhi Qiao, Austin Bae, Lucas M. Glass, Cao Xiao, Jimeng Sun:
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection. CoRR abs/2010.16039 (2020) - [i20]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 abs/2012.02420 (2020) - [i19]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. CoRR abs/2012.04747 (2020)
2010 – 2019
- 2019
- [j8]Jianqiang Li, Jingchao Sun, Lu Liu, Bo Liu, Cao Xiao, Fei Wang:
Improved Maximum Margin Clustering via the Bundle Method. IEEE Access 7: 63709-63721 (2019) - [c28]Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. AAAI 2019: 1126-1133 - [c27]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 223-232 - [c26]Tianfan Fu, Tian Gao, Cao Xiao, Tengfei Ma, Jimeng Sun:
PEARL: Prototype Learning via Rule Learning. BCB 2019: 542 - [c25]Tianfan Fu, Trong Nghia Hoang, Cao Xiao, Jimeng Sun:
DDL: Deep Dictionary Learning for Predictive Phenotyping. IJCAI 2019: 5857-5863 - [c24]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI 2019: 5888-5894 - [c23]Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. IJCAI 2019: 5895-5901 - [c22]Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. IJCAI 2019: 5953-5959 - [c21]Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman:
Retaining Privileged Information for Multi-Task Learning. KDD 2019: 1369-1377 - [c20]Cao Xiao, Jimeng Sun:
Tutorial: Data Mining Methods for Drug Discovery and Development. KDD 2019: 3195-3196 - [c19]Siddharth Biswal, Cao Xiao, M. Brandon Westover, Jimeng Sun:
EEGtoText: Learning to Write Medical Reports from EEG Recordings. MLHC 2019: 513-531 - [c18]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. MLHC 2019: i - [c17]Sungtae An, Cao Xiao, Walter F. Stewart, Jimeng Sun:
Longitudinal Adversarial Attack on Electronic Health Records Data. WWW 2019: 2558-2564 - [i18]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR abs/1905.11333 (2019) - [i17]Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. CoRR abs/1906.00346 (2019) - [i16]Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks. CoRR abs/1907.01022 (2019) - [i15]Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun:
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model. CoRR abs/1907.01099 (2019) - [i14]Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun:
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. CoRR abs/1910.02107 (2019) - [i13]Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover, Jimeng Sun:
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules. CoRR abs/1910.06100 (2019) - [i12]Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas M. Glass, Jimeng Sun:
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. CoRR abs/1911.06446 (2019) - [i11]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. CoRR abs/1911.08630 (2019) - [i10]Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun:
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment. CoRR abs/1911.10395 (2019) - [i9]Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao:
CONAN: Complementary Pattern Augmentation for Rare Disease Detection. CoRR abs/1911.13232 (2019) - [i8]Tianfan Fu, Cao Xiao, Jimeng Sun:
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy. CoRR abs/1912.05910 (2019) - 2018
- [j7]Cao Xiao, Edward Choi, Jimeng Sun:
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review. J. Am. Medical Informatics Assoc. 25(10): 1419-1428 (2018) - [j6]Randy Ardywibowo, Shuai Huang, Shupeng Gui, Cao Xiao, Yu Cheng, Ji Liu, Xiaoning Qian:
Switching-State Dynamical Modeling of Daily Behavioral Data. J. Heal. Informatics Res. 2(3): 228-247 (2018) - [j5]Cao Xiao, Yan Jin, Ji Liu, Bo Zeng, Shuai Huang:
Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification. IEEE Trans Autom. Sci. Eng. 15(3): 1163-1177 (2018) - [c16]Kin Ming Puk, Wei Xiang, Shouyi Wang, Cao (Danica) Xiao, W. Art Chaovalitwongse, Tara M. Madhyastha, Thomas J. Grabowski:
Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso. BI 2018: 423-434 - [c15]Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou:
Heterogeneous Hyper-Network Embedding. ICDM 2018: 875-880 - [c14]Jie Chen, Tengfei Ma, Cao Xiao:
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. ICLR (Poster) 2018 - [c13]Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang:
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. IJCAI 2018: 3477-3483 - [c12]Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang:
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. IJCAI 2018: 3520-3526 - [c11]Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun:
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. NeurIPS 2018: 4552-4562 - [c10]Tengfei Ma, Jie Chen, Cao Xiao:
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. NeurIPS 2018: 7113-7124 - [c9]Tengfei Ma, Cao Xiao, Fei Wang:
Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction. SDM 2018: 261-269 - [i7]Jie Chen, Tengfei Ma, Cao Xiao:
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling. CoRR abs/1801.10247 (2018) - [i6]Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang:
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. CoRR abs/1804.10850 (2018) - [i5]Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. CoRR abs/1809.01852 (2018) - [i4]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. CoRR abs/1809.01921 (2018) - [i3]Tengfei Ma, Jie Chen, Cao Xiao:
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. CoRR abs/1809.02630 (2018) - [i2]Tengfei Ma, Chiamin Wu, Cao Xiao, Jimeng Sun:
AWE: Asymmetric Word Embedding for Textual Entailment. CoRR abs/1809.04047 (2018) - [i1]Edward Choi, Cao Xiao, Walter F. Stewart, Jimeng Sun:
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare. CoRR abs/1810.09593 (2018) - 2017
- [j4]Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, Thomas S. Huang:
Unsupervised Sequential Outlier Detection With Deep Architectures. IEEE Trans. Image Process. 26(9): 4321-4330 (2017) - [c8]Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang:
Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction. AAAI 2017: 1367-1373 - [c7]Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang:
Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation. AAAI 2017: 1590-1596 - [c6]Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, Fei Wang:
Subtyping Parkinson's Disease with Recurrent Neural Network Models. AMIA 2017 - [c5]Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou:
Patient Subtyping via Time-Aware LSTM Networks. KDD 2017: 65-74 - [c4]Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang:
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. SDM 2017: 198-206 - 2016
- [j3]Cao Xiao, Jesse Bledsoe, Shouyi Wang, Wanpracha Art Chaovalitwongse, Sonya H. Mehta, Margaret Semrud-Clikeman, Thomas J. Grabowski:
An integrated feature ranking and selection framework for ADHD characterization. Brain Informatics 3(3): 145-155 (2016) - [j2]Cao Xiao, Shouyi Wang, Liying Zheng, Xudong Zhang, Wanpracha Art Chaovalitwongse:
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. 46(5): 638-646 (2016) - [j1]Cao Xiao, Wanpracha Art Chaovalitwongse:
Optimization Models for Feature Selection of Decomposed Nearest Neighbor. IEEE Trans. Syst. Man Cybern. Syst. 46(2): 177-184 (2016) - [c3]Shouyi Wang, KinMing Kam, Cao Xiao, Stephen R. Bowen, Wanpracha Art Chaovalitwongse:
An Efficient Time Series Subsequence Pattern Mining and Prediction Framework with an Application to Respiratory Motion Prediction. AAAI 2016: 2159-2165 - [c2]Shouyi Wang, Cao Xiao, Jeffrey J. Tsai, Wanpracha Art Chaovalitwongse, Thomas J. Grabowski:
A Novel Mutual-Information-Guided Sparse Feature Selection Approach for Epilepsy Diagnosis Using Interictal EEG Signals. BIH 2016: 274-284 - 2015
- [c1]Cao Xiao, David Mandell Freeman, Theodore Hwa:
Detecting Clusters of Fake Accounts in Online Social Networks. AISec@CCS 2015: 91-101
Coauthor Index
Lucas Glass
aka: Lucas M. Glass
aka: Lucas M. Glass
[j22] [i72] [c70] [i60] [j21] [j19] [c66] [c61] [c60] [i55] [i54] [i53] [j18] [j17] [j16] [j15] [j14] [j13] [c59] [c58] [c57] [c56] [c53] [c52] [c51] [c50] [c44] [i52] [i51] [i49] [i48] [i47] [i46] [i45] [j9] [c41] [c40] [c38] [c37] [c33] [c32] [c31] [c30] [i38] [i37] [i35] [i33] [i32] [i31] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i21] [i19] [i16] [i15] [i12] [i10] [i9]
[j22] [c84] [c79] [c78] [c77] [c76] [c74] [c73] [i79] [i78] [i77] [i75] [i74] [i72] [i70] [c72] [c71] [c69] [c68] [c67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i56] [j21] [j20] [j19] [c66] [c63] [c62] [c61] [c60] [i55] [i54] [i53] [b1] [j18] [j17] [j16] [j15] [j14] [j13] [c59] [c58] [c57] [c56] [c55] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [j10] [j9] [c41] [c40] [c39] [c38] [c37] [c33] [c32] [c31] [c30] [c29] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i19] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c17] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j7] [c11] [i5] [i4] [i2] [i1]
Brandon Theodorou
aka: Brandon Philip Theodorou
aka: Brandon Philip Theodorou
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