基本信息
浏览量:286
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
个人简介
Dr. Cui is interested in building software infrastructures and tools to greatly improve the reliability, security and performance of real-world software. His PhD students' recent research has led to a series of open source projects and publications in international top conferences and journals of broad areas, including SOSP, NSDI, MICRO, ASPLOS, ATC, ICSE, EuroSys, TPDS, and TDSC. In recent three years, Dr. Cui serves at least once in the program committees of international top conferences on systems/networking/software, including OSDI, SIGCOMM, ASPLOS, NSDI, ATC, EuroSys, and DSN. Dr. Cui also serves as active reviewers for international top journals on systems/networking/software/security, including TPDS, TOCS, TSE, TON, TMC, and TDSC. He serves as the program chair of ACM ChinaSys 2023. Dr. Cui has won several worldwide competitive research awards or grants, including a Croucher Innovation Award in 2016 (HK $5 million), a best paper award from ACSAC '17, the Best Collaborating Scientist Medal from the Huawei Theory Lab in 2021, and the RGC Research Impact Fund (RIF) in 2023 (HK $4 million).
Dr. Cui's recent research papers have led to commercial software releases with global leading IT industries. For instance, Dr Cui's [Fold3D TPDS 2023] paper has been commercialized as the key component of an industry-grade open source big AI model training system (see the Fold3D description in AscendSpeed), which connects PyTorch and Huawei's Ascend NPU. Another instance is that, Dr. Cui's secure system papers (e.g., [Uranus AsiaCCS 2020] and [DAENet TDSC 2021]) on Trusted Execution Environments have become a core component of Huawei's Trusted and Intelligent Cloud Services (see the UTEE component in TICS). Due to this industrial impact case, Dr. Cui received the HKU Faculty Knowledge Exchange (KE) Award in 2022. In addition, Dr. Cui is actively collaborating with industries to jointly publish research papers and to transfer the resultant systems from these papers into commercial software of broad areas, including distributed AI training systems, permissioned blockchain systems, security and privacy preserving systems, and geo distributed transaction systems.
Dr. Cui's recent research papers have led to commercial software releases with global leading IT industries. For instance, Dr Cui's [Fold3D TPDS 2023] paper has been commercialized as the key component of an industry-grade open source big AI model training system (see the Fold3D description in AscendSpeed), which connects PyTorch and Huawei's Ascend NPU. Another instance is that, Dr. Cui's secure system papers (e.g., [Uranus AsiaCCS 2020] and [DAENet TDSC 2021]) on Trusted Execution Environments have become a core component of Huawei's Trusted and Intelligent Cloud Services (see the UTEE component in TICS). Due to this industrial impact case, Dr. Cui received the HKU Faculty Knowledge Exchange (KE) Award in 2022. In addition, Dr. Cui is actively collaborating with industries to jointly publish research papers and to transfer the resultant systems from these papers into commercial software of broad areas, including distributed AI training systems, permissioned blockchain systems, security and privacy preserving systems, and geo distributed transaction systems.
研究兴趣
论文共 89 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CoRR (2024)
引用0浏览0EI引用
0
0
CoRR (2024)
引用0浏览0EI引用
0
0
Workshop on Advanced Tools, Programming Languages, and Platforms for Implementing and Evaluating Algorithms for Distributed Systemspp.1-9, (2024)
International Conference on Advanced Information Systems Engineeringpp.25-36, (2024)
ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systemspp.131-142, (2024)
INFORMATION SCIENCES (2024): 120022
ICSEpp.56-68, (2023)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn