Jinjie Liu

Master of Science, Computer Science Student at USC

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Welcome to my home page! I’m Jinjie Liu(刘津榤), a current master student, majoring in Computer Science in University of Southern California. Before that, I received my bachelor degree of engineering from Shanghai Jiao Tong University in June, 2023, where my major is Information Security.

I’m widely interested in computer system field, especially in Deep Learning Compiler. I’m passionate about studying how to provide significant optimizations for model inference on different platforms and architectures, solving many challenges in model deployment. In particular, I think deep learning compilers will be a handy tool for this goal. In addition, I’ a’m also very interested in topics such as Machine Learning System, Operating System, Compiler, and Blockchain.

During my academic career, I’m very fortunate to have worked with many excellent professors and predecessors and benefited greatly from them. I worked on Zero-Knowledge Provement with Professor Lei Fan and Hardware Security with Professor Dawu Gu in Shanghai Jiao Tong University, and I’m currently researching on model inference optimization, under the guidance of Professor Hang Qiu in University of California, Riverside. I have also interned at NaiveSystems and Momenta, working on building static language checkers and accelerating vehicle-side model inference, respectively. I’m fortunate to have experience working with great colleagues in both companies.

selected publications

  1. FluidML: Fast and Memory Efficient Inference Optimization
    Jinjie Liu, and Hang Qiu
    2024