Lavender Yao Jiang

According to our database, Lavender Yao Jiang authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model.

Salman Rahman, Lavender Yao Jiang, Saadia Gabriel, Yindalon Aphinyanaphongs, Eric Karl Oermann, Rumi Chunara

CoRR, 2024

2023

Health system-scale language models are all-purpose prediction engines.

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

Nat., 2023

Making the Most Out of the Limited Context Length: Predictive Power Varies with Clinical Note Type and Note Section.

Hongyi Zheng, Yixin Zhu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

Intriguing Effect of the Correlation Prior on ICD-9 Code Assignment.

Zihao Yang, Chenkang Zhang, Muru Wu, Xujin Liu, Lavender Y. Jiang, Kyunghyun Cho, Eric K. Oermann

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

2022

Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction.

Grace Yang, Ming Cao, Lavender Y. Jiang, Xujin Chris Liu, Alexander T. M. Cheung, Hannah Weiss, David Kurland, Kyunghyun Cho, Eric K. Oermann

CoRR, 2022

2021

Automated, Scalable and Generalizable Deep Learning for Tracking Cortical Spreading Depression Using EEG.

Alireza Chamanzar, Xujin Liu, Lavender Yao Jiang, Kimon A. Vogt, José M. F. Moura, Pulkit Grover

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

Graph Signal Processing and Deep Learning: Convolution, Pooling, and Topology.

Mark Cheung, John Shi, Oren Wright, Lavender Yao Jiang, Xujin Liu, José M. F. Moura

IEEE Signal Process. Mag., 2020

Edge Entropy as an Indicator of the Effectiveness of GNNs over CNNs for Node Classification.

Lavender Yao Jiang, John Shi, Mark Cheung, Oren Wright, José M. F. Moura

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Pooling in Graph Convolutional Neural Networks.

Mark Cheung, John Shi, Lavender Yao Jiang, Oren Wright, José M. F. Moura

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019