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2020 – today
- 2024
[c7]Aditya Prakash, Matthew Chang, Matthew Jin, Ruisen Tu, Saurabh Gupta:
3D Reconstruction of Objects in Hands Without Real World 3D Supervision. ECCV (78) 2024: 126-145- [c6]Chiraag Kaushik, Ran Liu, Chi-Heng Lin, Amrit Khera, Matthew Y. Jin, Wenrui Ma, Vidya Muthukumar, Eva L. Dyer:
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance. ICML 2024 - [i5]Chiraag Kaushik, Ran Liu, Chi-Heng Lin, Amrit Khera, Matthew Y. Jin, Wenrui Ma, Vidya Muthukumar, Eva L. Dyer:
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance. CoRR abs/2402.11742 (2024) - 2023
- [c5]Kevin Ros
, Matthew Jin, Jacob Levine, ChengXiang Zhai:
Retrieving Webpages Using Online Discussions. ICTIR 2023: 159-168 - [c4]Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy:
InferFix: End-to-End Program Repair with LLMs. ESEC/SIGSOFT FSE 2023: 1646-1656 - [i4]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, Eva L. Dyer:
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. CoRR abs/2301.00345 (2023) - [i3]Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy:
InferFix: End-to-End Program Repair with LLMs. CoRR abs/2303.07263 (2023) - [i2]Aditya Prakash, Matthew Chang, Matthew Jin, Saurabh Gupta:
Learning Hand-Held Object Reconstruction from In-The-Wild Videos. CoRR abs/2305.03036 (2023) - 2022
- [c3]Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin B. Clement, Neel Sundaresan:
Learning to Reduce False Positives in Analytic Bug Detectors. ICSE 2022: 1307-1316 - [c2]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, Eva L. Dyer:
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. NeurIPS 2022 - [i1]Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin B. Clement, Neel Sundaresan:
Learning to Reduce False Positives in Analytic Bug Detectors. CoRR abs/2203.09907 (2022)
2000 – 2009
- 2003
- [c1]Matthew Jin, Gul N. Khan:
Heterogeneous Hardware-Software System Partitioning using Extended Directed Acyclic Graph. PDCS 2003: 181-186
Coauthor Index
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