Emma Chen

According to our database, Emma Chen authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

Lifetime-Aware Design for Item-Level Intelligence at the Extreme Edge.

Shvetank Prakash, Andrew Cheng, Olof Kindgren, Ashiq Ahamed, Graham Knight, Jedrzej Kufel, Francisco Rodriguez, Arya Tschand, David Kong, Mariam Elgamal, Jerry Huang, Emma Chen, Gage Hills, Richard Price, Emre Ozer, Vijay Janapa Reddi

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

Slm-mux: Orchestrating small language models for reasoning.

Chenyu Wang, Zishen Wan, Hao Kang, Emma Chen, Zhiqiang Xie, Tushar Krishna, Vijay Janapa Reddi, Yilun Du

CoRR, October, 2025

Lifetime-Aware Design of Item-Level Intelligence.

Shvetank Prakash, Andrew Cheng, Olof Kindgren, Ashiq Ahamed, Graham Knight, Jedrzej Kufel, Francisco Rodriguez, Arya Tschand, David Kong, Mariam Elgamal, Jerry Huang, Emma Chen, Gage Hills, Richard Price, Emre Ozer, Vijay Janapa Reddi

CoRR, September, 2025

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models.

Alice Heiman, Xiaoman Zhang, Emma Chen, Sung Eun Kim, Pranav Rajpurkar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Classification of Periodontal and Health Oral Samples Using Deep Learning.

Jasmine Gu, Emma Chen, Tingying Helen Zeng, Tsute Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine.

Emma Chen, Aman Kansal, Julie Chen, Boyang Tom Jin, Julia Rachel Reisler, David A. Kim, Pranav Rajpurkar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Learning Classification of Caries Based on DNA Sequences Transformed by Chaos Game Representation.

Corey Zhao, Emma Chen, Tsute Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Machine Learning Sensors.

Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi

CoRR, 2022

Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning.

Emma Chen, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Improving hospital readmission prediction using individualized utility analysis.

Michael Ko, Emma Chen, Ashwin Agrawal, Pranav Rajpurkar, Anand Avati, Andrew Yan-Tak Ng, Sanjay Basu, Nigam H. Shah

J. Biomed. Informatics, 2021

CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays.

Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar

Proceedings of the Machine Learning for Healthcare Conference, 2021