Haozhi Han (韩昊知)

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: I am actively looking for motivated long-term collaborators on AI4S infrastructure and physical intelligence infrastructure. If you are interested in HPC, AI4S Infra, or Physical Intelligence, please feel free to email me at haozhi.han@stu.pku.edu.cn.

news

Jul 02, 2026	Our MakoXC paper has been accepted to SC 2026.
Jun 30, 2026	Wrapping up my three-year research internship at Microsoft Research with deep gratitude. Special thanks to Kun, who has deeply influenced and shaped my research journey.
Jun 01, 2026	Received the `"Star of Tomorrow" Internship Award` 🏆 from Microsoft Research!
Dec 01, 2025	Microsoft Research published a special feature interview highlighting my internship experience and research journey in HPC × AI for Science.
Nov 18, 2025	SparStencil was selected as a `Best Student Paper Award Finalist` at SC 2025 🏆. Together with Matrix Is All You Need, two of our papers appeared at SC 2025.

selected publications

SC ’26

MakoXC: Rearchitecting DFT Exchange–Correlation with Matrix-Aligned and Knowledge-Organized Sparsity

Haozhi Han, Fusong Ju, Jing Bai, Ruge Zhang, Xiang Zhao, Liang Yuan, Yunquan Zhang, Ting Cao, Liu Yunxin, Yifeng Chen, and Kun Li

CCF-A

In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2026

To appear

Bib

@inproceedings{makoxc2026sc,
  title = {MakoXC: Rearchitecting DFT Exchange–Correlation with Matrix-Aligned and Knowledge-Organized Sparsity},
  author = {Han, Haozhi and Ju, Fusong and Bai, Jing and Zhang, Ruge and Zhao, Xiang and Yuan, Liang and Zhang, Yunquan and Cao, Ting and Yunxin, Liu and Chen, Yifeng and Li, Kun},
  booktitle = {Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},
  year = {2026},
  rank = {CCF-A},
  note = {To appear}
}

SC ’25

Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators

Haozhi Han, Kun Li, Fusong Ju, Qi Li, Yifeng Chen, Yunquan Zhang, Ting Cao, and Mao Yang

CCF-A

In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2025

DOI Bib

@inproceedings{matrix2025sc,
  title = {Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators},
  author = {Han, Haozhi and Li, Kun and Ju, Fusong and Li, Qi and Chen, Yifeng and Zhang, Yunquan and Cao, Ting and Yang, Mao},
  booktitle = {Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},
  year = {2025},
  doi = {10.1145/3712285.3759829},
  rank = {CCF-A}
}

SC ’25

SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation

Qi Li, Kun Li, Haozhi Han, Liang Yuan, Junshi Chen, Yunquan Zhang, Yifeng Chen, Hong An, Ting Cao, and Mao Yang

CCF-A🏆 Best Student Paper Award Finalist

In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2025

DOI Bib

@inproceedings{sparstencil2025sc,
  title = {SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation},
  author = {Li, Qi and Li, Kun and Han, Haozhi and Yuan, Liang and Chen, Junshi and Zhang, Yunquan and Chen, Yifeng and An, Hong and Cao, Ting and Yang, Mao},
  booktitle = {Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},
  year = {2025},
  doi = {10.1145/3712285.3759820},
  honor = {🏆 Best Student Paper Award Finalist},
  rank = {CCF-A}
}

PPoPP ’25

FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units

Haozhi Han, Kun Li, Wei Cui, Donglin Bai, Yiwei Zhang, Liang Yuan, Yifeng Chen, Yunquan Zhang, Ting Cao, and Mao Yang

CCF-A

In Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP), 2025

DOI Bib

@inproceedings{flashfftstencil2025ppopp,
  title = {FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units},
  author = {Han, Haozhi and Li, Kun and Cui, Wei and Bai, Donglin and Zhang, Yiwei and Yuan, Liang and Chen, Yifeng and Zhang, Yunquan and Cao, Ting and Yang, Mao},
  booktitle = {Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP)},
  year = {2025},
  doi = {10.1145/3710848.3710897},
  rank = {CCF-A}
}

Haozhi Han @ PKU

news

selected publications