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Lavender Yao Jiang
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2020 – today
- 2024
- [i6]Salman Rahman, Lavender Yao Jiang, Saadia Gabriel, Yindalon Aphinyanaphongs, Eric Karl Oermann, Rumi Chunara:
Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model. CoRR abs/2402.10965 (2024) - [i5]Yanbing Chen, Ruilin Wang, Zihao Yang, Lavender Yao Jiang, Eric Karl Oermann:
Refining Packing and Shuffling Strategies for Enhanced Performance in Generative Language Models. CoRR abs/2408.09621 (2024) - 2023
- [j2]Lavender Yao Jiang
, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin
Health system-scale language models are all-purpose prediction engines. Nat. 619(7969): 357-362 (2023) - [c5]Hongyi Zheng, Yixin Zhu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann:
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section. ACL (student) 2023: 104-108 - [c4]Zihao Yang
Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment. ACL (student) 2023: 109-118 - [i4]Hongyi Zheng, Yixin Zhu, Lavender Yao Jiang, Kyunghyun Cho, Eric Karl Oermann:
Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section. CoRR abs/2307.07051 (2023) - 2022
- [i3]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
- [c3]Alireza Chamanzar, Xujin Liu, Lavender Yao Jiang, Kimon-Aristotelis 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
Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology. IEEE Signal Process. Mag. 37(6): 139-149 (2020) - [c2]Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura:
Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification. ACSSC 2020: 746-750 - [i2]Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura:
Pooling in Graph Convolutional Neural Networks. CoRR abs/2004.03519 (2020) - [i1]Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura:
Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification. CoRR abs/2012.08698 (2020)
2010 – 2019
- 2019
- [c1]Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura:
Pooling in Graph Convolutional Neural Networks. ACSSC 2019: 462-466
Coauthor Index
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