Heterogeneous Hardware-Software System Partitioning using Extended Directed Acyclic Graph. - Matthew Jin; Gul N. Khan (PDCS, 2003)

Learning to Reduce False Positives in Analytic Bug Detectors. - Anant Kharkar; Roshanak Zilouchian Moghaddam; Matthew Jin; Xiaoyu Liu; Xin Shi; Colin B. Clement; Neel Sundaresan (ICSE, 2022)

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. - Jorge Quesada; Lakshmi Sathidevi; Ran Liu; Nauman Ahad; Joy M. Jackson; Mehdi Azabou; Jingyun Xiao; Christopher Liding; Matthew Jin; Carolina Urzay; William R. Gray Roncal; Erik C. Johnson; et al. (NeurIPS, 2022)

Retrieving Webpages Using Online Discussions. - Kevin Ros; Matthew Jin; Jacob Levine; ChengXiang Zhai (ICTIR, 2023)

InferFix: End-to-End Program Repair with LLMs. - Matthew Jin; Syed Shahriar; Michele Tufano; Xin Shi; Shuai Lu; Neel Sundaresan; Alexey Svyatkovskiy (ESEC/SIGSOFT FSE, 2023)

Learning Hand-Held Object Reconstruction from In-The-Wild Videos. - Aditya Prakash; Matthew Chang; Matthew Jin; Saurabh Gupta 001 (CoRR, 2023)

3D Reconstruction of Objects in Hands Without Real World 3D Supervision. - Aditya Prakash; Matthew Chang; Matthew Jin; Ruisen Tu; Saurabh Gupta 001 (ECCV (78), 2024)

Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance. - Chiraag Kaushik; Ran Liu; Chi-Heng Lin; Amrit Khera; Matthew Y. Jin; Wenrui Ma; Vidya Muthukumar; Eva L. Dyer (ICML, 2024)