Lucas Glass

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Matrix Completion

Clinical Trials

Top Venues

J. Am. Medical Informatics Assoc.

Publications

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 (2024)
Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma
Clinical Trial Retrieval via Multi-grained Similarity Learning. SIGIR (2024)
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
FRAMM: Fair ranking with missing modalities for clinical trial site selection. Patterns 5 (3) (2024)
Cheng Qian, Lucas Glass, Nikos D. Sidiropoulos
Triple Simplex Matrix Completion for Expense Forecasting. CoRR (2023)
Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma
pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. CIKM (2023)
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)
Xinyan Li, Cheng Qian, Lucas Glass
DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness. CoRR (2023)
Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection. CoRR (2023)
Chaoqi Yang, Junyi Gao, Lucas Glass, Adam Cross, Jimeng Sun
Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus. J. Am. Medical Informatics Assoc. 31 (1) (2023)
Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma
Towards Federated COVID-19 Vaccine Side Effect Prediction. ECML/PKDD (6) (2022)
Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, Jimeng Sun
JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. CoRR (2022)
Zhen Lin, Lucas Glass, M. Brandon Westover, Cao Xiao, Jimeng Sun
SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models. AAAI (2022)
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 (2022)
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. CoRR (2021)
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR (2021)
Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. CoRR (2021)
Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) (2021)
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
Change Matters: Medication Change Prediction with Recurrent Residual Networks. IJCAI (2021)
Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun
PyHealth: A Python Library for Health Predictive Models. CoRR (2021)
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI (2021)
Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW (2021)
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)
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun
Change Matters: Medication Change Prediction with Recurrent Residual Networks. CoRR (2021)
Branimir Ljubic, Shoumik Roychoudhury, Xi Hang Cao, Martin Pavlovski, Stefan Obradovic, Richard Nair, Lucas Glass, Zoran Obradovic
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. Comput. Methods Programs Biomed. 197 (2020)
Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. CoRR (2020)
Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. CoRR (2020)
Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun
Patient-Trial Matching with Deep Embedding and Entailment Prediction. WWW (2020)
Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
Clinical Report Auto-completion. WWW (2020)
Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. CoRR (2020)
Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun
CASTER: Predicting Drug Interactions with Chemical Substructure Representation. AAAI (2020)
Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun
DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit. CoRR (2020)
Jelena Gligorijevic, Djordje Gligorijevic, Martin Pavlovski, Elizabeth Milkovits, Lucas Glass, Kevin Grier, Praveen Vankireddy, Zoran Obradovic
Optimizing clinical trials recruitment via deep learning. J. Am. Medical Informatics Assoc. 26 (11) (2019)
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 (2019)
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 (2019)