Haozhi Han @ PKU

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Ph.D. Student @ PKUCS
haozhi.han AT stu.pku.edu.cn
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Hi! I am Haozhi Han (韩昊知), a Ph.D. student at the School of Computer Science, Peking University, advised by Prof. Yifeng Chen and Assistant Prof. Kun Li.

🔬 My research centers on high-performance systems and algorithms for scalable physical intelligence — from microscopic science to embodied AI.

🏆 My work has appeared at top venues in high-performance systems and algorithms, including PPoPP and SC, with an SC 2025 Best Student Paper nomination.

🤝 Looking for long-term collaborators in HPC, AI4S infrastructure, and physical intelligence.

📃 Selected Papers

  1. SC ’26
    MakoXC: Rearchitecting DFT Exchange–Correlation with Matrix-Aligned and Knowledge-Organized Sparsity
    Haozhi Han, Fusong Ju, Jing Bai, Ruge Zhang, and 7 more authors
    CCF-A
    In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2026
  2. SC ’25
    Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators
    Haozhi Han, Kun Li, Fusong Ju, Qi Li, and 4 more authors
    CCF-A
    In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2025
  3. SC ’25
    SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation
    Qi Li, Kun Li, Haozhi Han, Liang Yuan, and 6 more authors
    CCF-A🏆 Best Student Paper Award Finalist
    In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2025
  4. PPoPP ’25
    FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units
    Haozhi Han, Kun Li, Wei Cui, Donglin Bai, and 6 more authors
    CCF-A
    In Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP), 2025
    Presented at CCF HPC China 2025