Beyond Accuracy: Realistic and Diagnostic Evaluation of Code Generation Models
Pareesa Ameneh Golnari, Xiaoyu Liu (lixiaoyu), Gabriel Ryan (ryangabriel), Shengyu Fu (shengyfu)
Deep Learning for Code at NeurIPS | November 2025
Xiaoyu Liu
Senior Data & Applied Scientist
Publications
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AdaptivePaste: Intelligent Copy-Paste in IDE
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltos Allamanis, Alexey Svyatkovskiy
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023
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Infer#’s journey to bring Infer to the .NET world
Xin Shi, Xiaoyu Liu, Matthew Jin, Neel Sundaresan
PLDI 2022 | June 2022
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Learning to Reduce False Positives in Analytic Bug Detectors
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin Clement, Neel Sundaresan
2022 International Conference on Software Engineering | May 2022
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Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 Empirical Methods in Natural Language Processing | October 2021
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Beyond Accuracy: Realistic and Diagnostic Evaluation of Code Generation Models
Pareesa Ameneh Golnari, Xiaoyu Liu (lixiaoyu), Gabriel Ryan (ryangabriel), Shengyu Fu (shengyfu)
Deep Learning for Code at NeurIPS | November 2025
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Learning to Reduce False Positives in Analytic Bug Detectors
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin Clement, Neel Sundaresan
2022 International Conference on Software Engineering | May 2022
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AdaptivePaste: Intelligent Copy-Paste in IDE
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltos Allamanis, Alexey Svyatkovskiy
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023
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Infer#’s journey to bring Infer to the .NET world
Xin Shi, Xiaoyu Liu, Matthew Jin, Neel Sundaresan
PLDI 2022 | June 2022
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Learning to Reduce False Positives in Analytic Bug Detectors
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin Clement, Neel Sundaresan
2022 International Conference on Software Engineering | May 2022
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Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 Empirical Methods in Natural Language Processing | October 2021
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Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 Empirical Methods in Natural Language Processing | October 2021
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Beyond Accuracy: Realistic and Diagnostic Evaluation of Code Generation Models
Pareesa Ameneh Golnari, Xiaoyu Liu (lixiaoyu), Gabriel Ryan (ryangabriel), Shengyu Fu (shengyfu)
Deep Learning for Code at NeurIPS | November 2025
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AdaptivePaste: Intelligent Copy-Paste in IDE
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltos Allamanis, Alexey Svyatkovskiy
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023
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Infer#’s journey to bring Infer to the .NET world
Xin Shi, Xiaoyu Liu, Matthew Jin, Neel Sundaresan
PLDI 2022 | June 2022
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Learning to Reduce False Positives in Analytic Bug Detectors
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin Clement, Neel Sundaresan
2022 International Conference on Software Engineering | May 2022
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Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 Empirical Methods in Natural Language Processing | October 2021
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