Guozheng Wang

Guozheng Wang

Ph.D. candidate

Shanghai University

Biography

Guozheng Wang is pursuing doctoral at Shanghai University. His research interests include distributed machine learning, optimization algorithm and reinforcement learning. In the past three years, he has published 3 journal papers as the first author.

Interests
  • Distributed Machine Learning
  • Reinforcement Learning
  • Optimization Algorithm
Education

  • Ph.D. in Computer Applied Technology, now

    Shanghai University

  • MEng in Computer Science and Technology, 2019

    University of Shanghai for Science and Technology

  • BSc in Computer Science and Technology, 2016

    Zhengzhou University of Aeronautics

Skills

Technical
C++
Python
Linux
Hobbies
Middle-distance race
Basketball
Reading

Recent Publications

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Yongwen Qiu, Yongmei Lei, Guozheng Wang (2023). PSRA-HGADMM: A Communication Efficient Distributed ADMM Algorithm. ICPP.

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Guozheng Wang, Yongmei Lei, Yongwen Qiu, Lingfei Lou, Yixin Li (2023). Communication-efficient ADMM-based distributed algorithms for sparse training. In Neurocomputing.

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Guozheng Wang, Yongmei Lei, Zeyu Zhang, Cunlu Peng (2023). 2D-THA-ADMM: communication efficient distributed ADMM algorithm framework based on two-dimensional torus hierarchical AllReduce. In IJMLC.

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Zeyu Zhang, Yongmei Lei, Dongxia Wang, Guozheng Wang (2023). Distributed ADMM Based on Sparse Computation and Allreduce Communication. ISPA.

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Guozheng Wang, Yongmei Lei, Zeyu Zhang, Cunlu Peng (2023). A Communication Efficient ADMM‑based Distributed Algorithm Using Two‑Dimensional Torus Grouping AllReduce. In DSE.

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