Projects and Fundings

I have presided over one National Natural Science Foundation of China Youth Fund, three provincial projects, and two State Key Laboratory open projects.

We are honored to be funded by the following grants.

NSFC General Program (2022 - 2025)

Single PI

Data movement across data centers greatly affects the performance of geo-distributed big data systems. Graph computing is an important type of big data applications. Geo-distributed graph computing systems suffer from large computing scale, complex communication patterns, and data movement constraints due to data privacy requirements. How to effectively utilize the hardware resources of geo-distributed systems to realize fast and private graph computing is a major challenge to big data system designers. The goal of this project is to build an accurate and unified model for geo-distributed systems and design geo-aware optimization methods for graph applications accordingly. (Budget: 580,000 CNY)

Project of Innovation and Technology Commission, HKSAR Government Research Fund (2022 – 2023)

Single PI

This project is granted to the recipients of Tencent “Rhino-bird” Open-Funded Young Researcher Award to support young faculties exploring innovative ideas in different disciplines. There are only two recipients in computer science in 2020. The topic of this project is focused on designing and developing efficient and privacy-preserving big data systems running in multiple data centers. (Budget: 2,792,775 AUD)

NSFC Young Scientists Fund (2021 – 2023)

Single PI

This project aims at tackling the challenges of running scientific applications in the cloud, including single cloud region and multiple geo-distributed cloud regions. This project provide performance and cost efficient solutions for scientific applications, especially scientific workflows which have complicated data dependencies. (Budget: 260,000 CNY, with a competitive funding rate of 25.5% nationwide)

Natural Science Foundation of Guangdong Province (2023 – 2026)

Single PI

The Shenzhen Overseas High-Caliber Personnel is an individual research project granted to researchers with high quality research records and good research potential. This project aims at addressing the performance variation problem in large-scale distributed systems, in order to provide predictable and stable performance optimization for big data applications. This project is important to different types of distributed systems that are shared among multiple users. The project also attracted interests from industry such as Alibaba. (Budget: 150,000 CNY)

Natural Science Foundation of Guangdong Province (2022 – 2024)

Single PI

The Shenzhen STI Free Exploration Project is granted to young and potential researchers to perform basic research in areas where they found important. This project targets at the system challenges in wide area network and aims at designing new method to improve system efficiency for graph-like applications. (Budget: 100,000 CNY)

Natural Science Foundation of Guangdong Province (2021 – 2023)

Single PI

This project targets at the timely and important data privacy issues. It aims at optimizing the resource management problem for large-scale big data applications in geo-distributed clouds, where the network performance heterogeneity and privacy constraints are the main challenges. (Budget: 100,000 CNY)