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ORCIDXujin Chris Liu
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- affiliation: NYU Langone Health, New York, NY, USA
- affiliation (former): Carnegie Mellon University, Electrical and Computer Engineering Department, Pittsburgh, PA, USA
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2020 – today
- 2023
[j2]Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin
, Duo Wang, Anas Z. Abidin, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T. M. Cheung, Grace Yang, Ming Cao, Mona Flores, Anthony B. Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, Eric Karl Oermann:
Health system-scale language models are all-purpose prediction engines. Nat. 619(7969): 357-362 (2023)- [c3]Zihao Yang, Chenkang Zhang, Muru Wu, Xujin Liu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann:
Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment. ACL (student) 2023: 109-118 - [c2]Han-Yi Wang, Xujin Liu, Pulkit Grover, Alireza Chamanzar:
A Spatial-Temporal Graph Attention Network for Automated Detection and Width Estimation of Cortical Spreading Depression Using Scalp EEG. EMBC 2023: 1-4 - 2022
- [i1]Grace Yang, Ming Cao, Lavender Y. Jiang, Xujin Chris Liu, Alexander T. M. Cheung, Hannah Weiss, David Kurland, Kyunghyun Cho, Eric K. Oermann:
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction. CoRR abs/2211.07047 (2022) - 2021
- [c1]Alireza Chamanzar, Xujin Liu, Lavender Yao Jiang, Kimon A. Vogt, José M. F. Moura, Pulkit Grover:
Automated, Scalable and Generalizable Deep Learning for Tracking Cortical Spreading Depression Using EEG. NER 2021: 416-419 - 2020
- [j1]Mark Cheung, John Shi, Oren Wright, Lavender Yao Jiang, Xujin Liu, José M. F. Moura:
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology. IEEE Signal Process. Mag. 37(6): 139-149 (2020)
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