Our paper entitled, “Hybridize functions: A tool for automatically refactoring imperative Deep Learning programs to graph execution,” has been accepted at the 2025 International Conference on Fundamental Approaches to Software Engineering (FASE) as a formal tool demonstration! Out of 31 papers (including 4 tool papers), 11 (including 1 tool paper) were accepted, amounting to a 35% acceptance rate. Congrats to Tatiana, Mehdi, Nan, and Anita!
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- Slides and poster for FASE ’25 tool paper on imperative Deep Learning refactoring now available
- Accepting anĀ EAPLS distinguished paper award at FASE ’25
- Program committee (PC) member for VMIL ’25
- Received EAPLS distinguished paper award at FASE ’25
- Program committee (PC) member for SPLASH ’25 Onward!
- Program committee (PC) member for Internetware ’25
- Tool demo paper on refactoring imperative DL programs to graph execution accepted at FASE ’25
- Reviewer for Japan Society for the Promotion of Science (JSPS) 2025 BRIDGE Fellowship
- Program committee (PC) member for ICSE ’26
- Computer Science Professor Awarded NSF Grant to Improve Machine Learning Systems | CUNY Graduate Center
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Tool demo paper on refactoring imperative DL programs to graph execution accepted at FASE ’25
← Reviewer for Japan Society for the Promotion of Science (JSPS) 2025 BRIDGE Fellowship Program committee (PC) member for Internetware ’25 →
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