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Jingji Chen’s Personal Website

About Me

I am a Ph.D. student in Computer Science at Purdue University under the supervision of Prof. Xuehai Qian. Before that, I was a Ph.D. student in Computer Engineering at the University of Southern California, also under the supervision of Prof. Xuehai Qian. I obtained my Bachelor of Engineering degree in the Department of Computer Science and Technology at Tsinghua University. My research interests majorly focus on mapping challenging workloads, in particular machine learning applications and graph processing applications, to different underlying hardwares efficiently with domain-specific systems. You can find my CV here and my Google Scholar Profiler here.

As a system researcher, I have designed and implemented various high-performance machine learning and graph systems (with more than 30K lines of code in total), including a distributed GNN training system (GNNPipe, paper in submission), an efficient and scalable distributed GPM (graph pattern mining) system (Khuzdul, ASPLOS’22), a compilation-based GPM system (DecoMine, ASPLOS’22) and a distributed graph processing system (SympleGraph, PLDI’20/TOCS). I am currently actively working on efficient LLM (large language model) serving systems. I have maintained a (non-comprehensive) list of LLM system papers here, and you are more than welcome to create a PR to update the repo :)

I plan to graduate in 2024 and I am actively looking for a industrial research/engineer job or a post-doctoral position. Feel free to reach out if your company/lab has any opening :)





Publications or Accepted Papers