Hi! I'm Chang.

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CST 3-118, 111 College Pl, Syracuse, NY 13210

cliu57@syr.edu

I’m a PhD student in the Department of Electrical Engineering and Computer Science at Syracuse University, it’s my fortune to be advised by Kristopher Micinski.

My research focuses on programming languages, particularly in reverse engineering, compilers, and logic programming. Previously, I worked on developing automated and scalable curation systems for machine-executable datasets and benchmarking machine learning algorithms for binary analysis. I am crrently working on compilers and decompilation.

Publications

  1. NeurIPS
    Assemblage: Automatic Binary Dataset Construction for Machine Learning
    Chang Liu*, Rebecca Saul*, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, and Kristopher Micinski
    In Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2024
    Code PDF
  2. NeurIPS
    Is Function Similarity Over-Engineered? Building a Benchmark
    Rebecca Saul, Chang Liu, Noah Fleischmann, Richard J Zak, Kristopher Micinski, Edward Raff, and James Holt
    In Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2024
    Code PDF