Hello, I am JamesNULLiu (刘彦辰).

I am a 4th-year undergraduate student studying Computer Science in Shanghai University, now working as an intern in Shanghai AI Laboratory, mainly engaged in inference acceleration, graph optimization and reasoning of Large Language Models.

I am a passionate programmer and an open-source enthusiast. As the principal maintainer of Shanghai University Super-Computing Team and an active contributor to Shanghai University Open-Source Community, my programming expertise encompasses C++, Python, CUDA, LLVM/MLIR, PyTorch/libtorch, ……

I am also a researcher in the field of High Performance Computing, Large Language Models and In-vehicle Network Security. I have published several papers in these areas, looking forward to further research opportunities.

If you have any inquiries or are interested in collaboration, please feel free to contact me via email at [email protected].

🔬 Research Interests

  • Training and Inference Acceleration
  • LLM Reasoning
  • High Performance Computing
  • Network Security

🧑‍🎓 Education

  • 2021.09 - 2025.06: Bachelor of Computer Science, Shanghai University, Shanghai, China.
  • 2025.09 - 2027.06: Master of Computer Science, University of Southern California, Los Angeles, USA. (Planned)

💻 Work Experience

  • 2024.06 - Present: Full-time Intern, Shanghai AI Laboratory, Shanghai, China.
    • Research on inference acceleration and graph optimization of Large Language Models.
    • Research on knowlege injection and reasoning of Large Language Models.

🎉 Achievements

  • [2024.04] First Prize and Group Competition Award in 2024 ASC Student Supercomputer Challenge Global Final.
  • [2022.06] First-Class Academic Scholarship for outstanding academic performance, Shanghai University.

📰 Publications

2025 ——

  1. [Preprint] “HPCTransEval: A Benchmark of High-Performance GPU-to-CPU Transpilation with Pre-trained Large Language Models”.
  2. [Preprint][Arxiv][Code] Q. Liu$^\dagger$, Y. Liu$^\dagger$, R. Li, C. Cao, Y. Li$^*$, X. Li$^*$, P. Wang, R. Feng, “MDHP-Net: Detecting an Emerging Time-exciting Threat in IVN”.
  3. [Preprint] Z. Xu, A. Shen, D. Kong, X. Dai, J. Liu, Y. Liu, L. Wang, S. Wei, Y. Hu and S. Yin*, “LLMEngine: Disaggregated Mapping and Memory Management Co-scheduling for Wafer-scale Chips”.

2024 ——

  1. [IEEE Internet of Things Journal][Arxiv][Code] Q. Liu, X. Li, K. Sun, Y. Li$^*$ and Y. Liu$^*$, “SISSA: Real-Time Monitoring of Hardware Functional Safety and Cybersecurity With In-Vehicle SOME/IP Ethernet Traffic”.
  2. [MDPI Future Internet][Code] X. Li, R. Li, and Y. Liu. “HP-LSTM: Hawkes Process–LSTM-Based Detection of DDoS Attack for In-Vehicle Network”.

🤪 Hobbies

  • 🧙 Animations, Comics and Games
  • 🎸 Electric Guitar
  • 🎼 Jazz, Fusion, Metal, Core, Djent