Combinatorially Generated Piecewise Activation Functions. - Justin Chen (CoRR, 2016)

Numerical Implicitization for Macaulay2. - Justin Chen; Joe Kileel 001 (CoRR, 2016)

CrossTrainer: Practical Domain Adaptation with Loss Reweighting. - Justin Chen; Edward Gan; Kexin Rong 001; Sahaana Suri; Peter Bailis (DEEM@SIGMOD, 2019)

Computing symmetric determinantal representations. - Justin Chen; Papri Dey (CoRR, 2019)

FrUITeR: a framework for evaluating UI test reuse. - Yixue Zhao; Justin Chen; Adriana Sejfia; Marcelo Schmitt Laser; Jie Zhang 050; Federica Sarro; Mark Harman; Nenad Medvidovic (ESEC/SIGSOFT FSE, 2020)

Free resolutions of function classes via order complexes. - Justin Chen; Christopher Eur; Greg Yang; Mengyuan Zhang 004 (Adv. Appl. Math., 2020)

Towards Automatic Grading of D3.js Visualizations. - Matthew Hull; Connor Guerin; Justin Chen; Susanta Routray; Duen Horng Chau (CoRR, 2021)

Computing unit groups of curves. - Justin Chen; Sameera Vemulapalli; Leon Zhang (J. Symb. Comput., 2021)

Noetherian operators and primary decomposition. - Justin Chen; Marc Härkönen; Robert Krone; Anton Leykin (J. Symb. Comput., 2022)

Pretrained Transformers for Seizure Detection. - Saarang Panchavati; Samuel Vander Dussen; Hemal Semwal; Ahmed Ali; Justin Chen; Haoran Li; Corey W. Arnold; William Speier (ICASSP, 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 007; Max Mahdi Roozbahani; Duen Horng Chau (CoRR, 2023)

The 4 × 4 Orthostochastic Variety. - Justin Chen; Papri Dey (Exp. Math., 2023)

Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning. - George Zhou; Candace Chien; Justin Chen; Lucille Luan; Yunchan Chen; Sheila Carroll; Jeffrey Dayton; Maria Thanjan; Ken Bayle; Patrick Flynn (Artif. Intell. Medicine, 2024)

Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model. - Hyun Jin Park; Dhruuv Agarwal; Neng Chen; Rentao Sun; Kurt Partridge; Justin Chen; Harry Zhang; Pai Zhu; Jacob Bartel; Kyle Kastner; Gary Wang; Andrew Rosenberg; et al. (CoRR, 2024)

Adversarial training of Keyword Spotting to Minimize TTS Data Overfitting. - Hyun Jin Park; Dhruuv Agarwal; Neng Chen; Rentao Sun; Kurt Partridge; Justin Chen; Harry Zhang; Pai Zhu; Jacob Bartel; Kyle Kastner; Gary Wang; Andrew Rosenberg; et al. (CoRR, 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 007; Max Mahdi Roozbahani; Duen Horng Chau (IEEE Trans. Vis. Comput. Graph., 2024)

Lipschitz Constants of Hybrid Zonotope Representations of Feedforward Neural Networks. - Justin Chen; Jonah J. Glunt; Justin Koeln; Herschel C. Pangborn; Justin Ruths (ACC, 2025)

Local dual spaces and primary decomposition. - Justin Chen; Marc Härkönen; Anton Leykin (J. Symb. Comput., 2025)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)