Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, and Anita Raja. Towards safe automated refactoring of imperative Deep Learning programs to graph execution. In International Conference on Automated Software Engineering, ASE ’23, Kirchberg, Luxembourg, September 2023. IEEE/ACM. (25/70; 35.7% acceptance rate). [ arXiv | slides | http ]

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Tatiana Castro Vélez, Raffi Khatchadourian, Mehdi Bagherzadeh, and Anita Raja. Challenges in migrating imperative Deep Learning programs to graph execution: An empirical study. In International Conference on Mining Software Repositories, MSR ’22, pages 469–481. IEEE/ACM, IEEE, May 2022. (45/138; 32.6% acceptance rate) [arXiv | video | data | slides | http]

If you want to read the highlights of the above paper, please visit here.

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Ye Paing, Tatiana Castro Vélez, and Raffi Khatchadourian. QuerTCI: A tool integrating GitHub issue querying with comment classification. Technical Report 707, City University of New York (CUNY) Hunter College, 695 Park Ave, New York, NY 10065 United States, July 2022. [ arXiv | video | data | tool | HTTP ]