Justin Chen

According to our database, Justin Chen authored at least 13 papers between 2016 and 2024.

Collaborative distances:

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

2024

VG: Automatic Grading of D3 Visualizations.

Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, M. Mahdi Roozbahani, Duen Horng Chau

IEEE Trans. Vis. Comput. Graph., January, 2024

2023

The 4 × 4 Orthostochastic Variety.

Justin Chen, Papri Dey

Exp. Math., October, 2023

VisGrader: Automatic Grading of D3 Visualizations.

Matthew Hull, Vivian Pednekar, Hannah Murray, Nimisha Roy, Emmanuel Tung, Susanta Routray, Connor Guerin, Justin Chen, Zijie J. Wang, Seongmin Lee, M. Mahdi Roozbahani, Duen Horng Chau

CoRR, 2023

Pretrained Transformers for Seizure Detection.

Saarang Panchavati, Samuel Vander Dussen, Hemal Semwal, Ahmed Ali, Justin Chen, Haoran Li, Corey W. Arnold, William Speier

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Noetherian operators and primary decomposition.

Justin Chen, Marc Härkönen, Robert Krone, Anton Leykin

J. Symb. Comput., 2022

2021

Computing unit groups of curves.

Justin Chen, Sameera Vemulapalli, Leon Zhang

J. Symb. Comput., 2021

Towards Automatic Grading of D3.js Visualizations.

Matthew Hull, Connor Guerin, Justin Chen, Susanta Routray, Duen Horng Chau

CoRR, 2021

2020

Free resolutions of function classes via order complexes.

Justin Chen, Christopher Eur, Greg Yang, Mengyuan Zhang

Adv. Appl. Math., 2020

FrUITeR: a framework for evaluating UI test reuse.

Yixue Zhao, Justin Chen, Adriana Sejfia, Marcelo Schmitt Laser, Jie Zhang, Federica Sarro, Mark Harman, Nenad Medvidovic

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019

Computing symmetric determinantal representations.

Justin Chen, Papri Dey

CoRR, 2019

CrossTrainer: Practical Domain Adaptation with Loss Reweighting.

Justin Chen, Edward Gan, Kexin Rong, Sahaana Suri, Peter Bailis

Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning, 2019

2016

Numerical Implicitization for Macaulay2.

Justin Chen, Joe Kileel

CoRR, 2016

Combinatorially Generated Piecewise Activation Functions.

Justin Chen

CoRR, 2016