| Oct 20, 2026 |
Our talk Agentic Memory Optimization for PyTorch Training was presented at PyTorch Conference 2026!
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| Jun 17, 2026 |
Our poster Citrine: Catching Million-Dollar ML Anti-Patterns Before They Ship was presented at @Scale: AI & Data 2026!
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| Feb 17, 2026 |
Our paper OBsmith: LLM-powered JavaScript Obfuscator Testing was accepted by OOPSLA’26!
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| Nov 24, 2025 |
Our paper TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization was accepted by LLM4Code’26 (co-located with ICSE’26)!
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| Oct 24, 2025 |
Mosaic, our tool for PyTorch memory profiling and analysis, is now available as open source!
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| Mar 29, 2025 |
Our paper Identifying Multi-Parameter Constraint Errors in Python Data Science Library API Documentation was accepted by ISSTA’25!
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| Jan 29, 2025 |
Our paper A Comprehensive Study of Governance Issues in Decentralized Finance Applications was accepted by ACM Transactions on Software Engineering and Methodology (TOSEM)!
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| Sep 19, 2024 |
Our work PyTorch Performance Debugging in N-Dimensional Parallelism won the Best Poster Award at PyTorch Conference 2024!
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| Apr 2, 2024 |
Our paper A Meta-Study of Software-Change Intentions was accepted by ACM Computing Surveys!
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| Oct 5, 2023 |
The SapientML project we started has now received 350+ stars on GitHub, check it out and also our SapientML ICSE 2022 paper!
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| Jul 18, 2023 |
Our paper A Vision on Intentions in Software Engineering was accepted by FSE’23 Ideas, Visions and Reflections Track!
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| Jul 6, 2023 |
Our paper CompSuite: A Dataset of Java Library Upgrade Incompatibility Issues was accepted by ASE’23 Tool Demonstrations Track!
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