Lucas Glass - RankMe

35 papers A* 9A 2Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MediSim: Multi-granular simulation for enriching longitudinal, multi-modal electronic health records. Patterns Brandon Theodorou, Cao Xiao, Lucas Glass, Jimeng Sun
2024	A*	`conf`	Clinical Trial Retrieval via Multi-grained Similarity Learning. SIGIR Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma
2024	J	`jnl`	FRAMM: Fair ranking with missing modalities for clinical trial site selection. Patterns Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
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
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`	DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness. CoRR Xinyan Li, Cheng Qian, Lucas Glass
2023	J	`jnl`	FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection. CoRR Brandon Theodorou, Lucas Glass, Cao Xiao, Jimeng Sun
2023	J	`jnl`	Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus. J. Am. Medical Informatics Assoc. Chaoqi Yang, Junyi Gao, Lucas Glass, Adam Cross, Jimeng Sun
2023	J	`jnl`	Triple Simplex Matrix Completion for Expense Forecasting. CoRR Cheng Qian, Lucas Glass, Nikos D. Sidiropoulos
2023	A	`conf`	pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. CIKM Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma
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	J	`jnl`	JULIA: Joint Multi-linear and Nonlinear Identification for Tensor Completion. CoRR Cheng Qian, Kejun Huang, Lucas Glass, Rakshith Sharma Srinivasa, 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
2022	—	`conf`	Towards Federated COVID-19 Vaccine Side Effect Prediction. ECML/PKDD (6) Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma
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	—	`conf`	Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
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	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	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	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	A*	`conf`	CASTER: Predicting Drug Interactions with Chemical Substructure Representation. AAAI Kexin Huang, Cao Xiao, Trong Nghia Hoang, Lucas Glass, Jimeng Sun
2020	A*	`conf`	Clinical Report Auto-completion. WWW Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, 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`	Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification. CoRR Rakshith Sharma Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun
2020	J	`jnl`	Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. Comput. Methods Programs Biomed. Branimir Ljubic, Shoumik Roychoudhury, Xi Hang Cao, Martin Pavlovski, Stefan Obradovic, Richard Nair, Lucas Glass, Zoran Obradovic
2020	J	`jnl`	MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction. CoRR Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun
2020	A*	`conf`	Patient-Trial Matching with Deep Embedding and Entailment Prediction. WWW Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun
2020	J	`jnl`	SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks. CoRR Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun
2019	J	`jnl`	Optimizing clinical trials recruitment via deep learning. J. Am. Medical Informatics Assoc. Jelena Gligorijevic, Djordje Gligorijevic, Martin Pavlovski, Elizabeth Milkovits, Lucas Glass, Kevin Grier, Praveen Vankireddy, Zoran Obradovic
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	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