Haozhi Han 韩昊知
Portrait
Logo Ph.D. Student @ Peking University

Hi! I am Haozhi Han, a Ph.D. student at School of Computer Science, Peking University, advised by Prof. Yifeng Chen and Assistant Prof. Kun Li.

My research focuses on high-performance systems and algorithms for scalable physical intelligence, from microscopic science to embodied AI. Related work has been published in top-tier international conferences such as PPoPP and SC, with a Best Student Paper nomination at SC 2025.

Google Scholar LinkedIn
Education
  • Peking University
    Peking University
    School of Computer Science
    Ph.D. Student
    Jul. 2025 - present
  • Peking University
    Peking University
    M.Eng. in Engineering
    Sep. 2022 - Jun. 2025
  • University College Dublin
    University College Dublin
    B.S. in Computer Science
    Sep. 2018 - Jun. 2022
  • Beijing University of Technology
    Beijing University of Technology
    B.S. in Computer Science
    Sep. 2018 - Jun. 2022
Experience
  • Microsoft Research Asia
    Microsoft Research Asia
    Research Intern
    Aug. 2023 - present
Honors & Awards
  • Microsoft Research Asia "Star of Tomorrow" Honor
    2024
  • Peking University Third-Class Scholarship
    2023
  • Peking University Academic Excellence Scholarship
    2023
  • IEEEXtreme 24-Hour Programming Competition, International Third Prize
    2020
  • China Internet+ College Student Innovation and Entrepreneurship Competition, Third Prize
    2020
  • Academic Excellence Scholarship at BJUT x 3
    2019, 2020, 2021
  • Selected for the BJUT Elite Student Program
    2019
Selected Publications (view all )
Pushing a Single GPU to Its Limits and Scaling to Tens of Thousands: RL-Guided, Physically Consistent KMC for Nuclear Materials Simulation
Pushing a Single GPU to Its Limits and Scaling to Tens of Thousands: RL-Guided, Physically Consistent KMC for Nuclear Materials Simulation

Haozhi Han*, Qi Li*,, Ruge Zhang*,, Haipeng Jia,, Yunquan Zhang,, Yifeng Chen,, Ting Cao,, Yunxin Liu,, Kun Li (* equal contribution)

ISC High Performance 2026 (ISC) 2026

[Paper]

Pushing a Single GPU to Its Limits and Scaling to Tens of Thousands: RL-Guided, Physically Consistent KMC for Nuclear Materials Simulation

Haozhi Han*, Qi Li*,, Ruge Zhang*,, Haipeng Jia,, Yunquan Zhang,, Yifeng Chen,, Ting Cao,, Yunxin Liu,, Kun Li (* equal contribution)

ISC High Performance 2026 (ISC) 2026

[Paper]

SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale
SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale

Qi Li, Kun Li, Haozhi Han, Honghui Shang, Xinfu He, Yunquan Zhang, Hong An, Ting Cao, Mao Yang

Under review.

[Paper]

SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale

Qi Li, Kun Li, Haozhi Han, Honghui Shang, Xinfu He, Yunquan Zhang, Hong An, Ting Cao, Mao Yang

Under review.

[Paper]

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

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2025 CCF-A

[Paper]

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, Mao Yang

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2025 CCF-A

[Paper]

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

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2025 Best Student Paper Award Finalist CCF-A

[Paper]

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, Mao Yang

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) 2025 Best Student Paper Award Finalist CCF-A

[Paper]

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

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) 2025 CCF-A

[Paper]

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, Mao Yang

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) 2025 CCF-A

[Paper]

Jigsaw: Toward Conflict-free Vectorized Stencil Computation by Tessellating Swizzled Registers
Jigsaw: Toward Conflict-free Vectorized Stencil Computation by Tessellating Swizzled Registers

Yiwei Zhang, Kun Li, Liang Yuan, Haozhi Han, Yunquan Zhang, Ting Cao, Mao Yang

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) 2025 CCF-A

[Paper]

Jigsaw: Toward Conflict-free Vectorized Stencil Computation by Tessellating Swizzled Registers

Yiwei Zhang, Kun Li, Liang Yuan, Haozhi Han, Yunquan Zhang, Ting Cao, Mao Yang

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP) 2025 CCF-A

[Paper]

All publications