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ORCIDLavender 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, 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) - [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, 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 - [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 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) - [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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