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zuoyanzhang
committedDec 24, 2024·
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‎_data/research.yml

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- title: Honors and Awards
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type: time_table
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contents:
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- year: 2024-10
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- year: 2024.10
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items:
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- Excellent MEng Dissertation Award (Information Engineering University)
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- year: 2023-12
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- year: 2023.12
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- National Scholarship (Ministry of Education of China)
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- year: 2023-11
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- year: 2023.11
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- First Class Academic Scholarship (Information Engineering University)
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- year: 2022-11
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- year: 2022.11
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- Second Class Academic Scholarship (Information Engineering University)
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- year: 2021-11
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- year: 2021.11
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- First Class Academic Scholarship (Information Engineering University)

‎_pages/about.md

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social: true # includes social icons at the bottom of the page
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---
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Zuoyan Zhang is currently a first-year PhD student at the [CYCLE Lab](https://cyclelaboratory.github.io/) at [Hunan University](https://www.hnu.edu.cn/index.htm) under the supervisor Prof. [Jie Zhao](https://yaozhujia.github.io/). He got MEng degree from the State Key Laboratory of Mathematical Engineering and Advanced Computing at Information Engineering University under the supervisor Prof. Shaozhong Guo in June 2024. His research interests span machine learning system and program analysis, with a particular focus on floating-point program error detection and automatic repair, as well as distributed parallel acceleration for large language model training. His research has been recognized with ASE, ISSTA.
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Zuoyan Zhang is currently a first-year PhD student at the [CYCLE Lab](https://cyclelaboratory.github.io/) at [Hunan University](https://www.hnu.edu.cn/index.htm) under the supervisor Prof. [Jie Zhao](https://yaozhujia.github.io/). He got MEng degree from the State Key Laboratory of Mathematical Engineering and Advanced Computing at Information Engineering University under the supervisor Prof. Shaozhong Guo and Assoc. Prof. Jinchen Xu in June 2024. His research interests span machine learning system and numerical program analysis, with a particular focus on floating-point program error detection and automatic repair, as well as distributed parallel acceleration for large language model training. In the area of distributed training acceleration for LLM, his research focuses on automatic parallel strategy search and communication-hiding. His research has been recognized with ASE, ISSTA.

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