Hello, I’m Xiaoyang.
Research Fellow & Founder.


I am a research fellow at the University of Leeds.
I am the founder of ACE3 AI LTD.
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Weclome to join us. We are an industry-university-research (IUR) team. We are finding full-time research fellows, PhD students, part-time internship on many positions, e.g., engineer, designer.

Contact
Profile Picture of Adrián Moreno (@zetxek), working side by side with a colleague: sitting on a desk, while looking at a screen

Who am I?

I am a research fellow at the University of Leeds, specializing in hardware-assisted memory safety technologies. My research focuses on Capability Hardware Enhanced RISC Instructions (CHERI), systematic optimization for large language models during training and inference, cloud computing, advanced cluster management, and other technologies on critical middleware.

I am the founder of ACE3 AI LTD, where we are developing a next-generation cloud platform designed for large AI models. Our platform empowers AI-focused digital teams to manage workloads more efficiently and cost-effectively than ever before, leveraging a user-centric, intuitive interface combined with highly optimized acceleration components.

About Me

News

> 2024. Awarded $25K Google Cloud support for AISC project.
> 2024. Awarded £20K non-diluted Seed funding from AI SuperConnector Programme Cohort One.
> 2024. Co-awarded £**K International Strategy Fund (ISF) for Joint Research Centre.
> 2024. Awarded £***K EPSRC Impact Acceleration Account (IAA) funding to transfer PhD research into society.

Publications

DRLCap: Runtime GPU Frequency Capping with Deep Reinforcement Learning
2024 IEEE TSUSC
GNNRI: detecting anomalous social network users through heterogeneous information networks and user relevance exploration
2024 International Journal of Machine Learning and Cybernetics
Affinity-Aware Capacity Planning for Scheduling Long-Running Applications in Shared Clusters
2023 JPDC

Experience

My approach to research is rooted in collaboration with industry and a focus on addressing real-world challenges. During my academic journey, I gained extensive experience through internships and industry-supported research projects. These opportunities not only enhanced my understanding of practical applications but also equipped me with valuable skills to bridge the gap between theoretical knowledge and real-world solutions.

Education

2019 - 2023
University of Leeds, UK
The degree of Doctor of Philosophy (PhD) at Computer Science.
Research: Systematic Optimization for Large AI Models, GPU Cluster Management.
Thesis: Cost-Effective Acceleration Methods for Large-Scale Model Training. (Translating to Startup)

2015 - 2018
Beihang University
The degree of Master of Engineering at Computer Science and Technology.
Research: Cloud Computing, Virtualization, Advanced Cluster Management, Failover.
Thesis: Research and Implementation of Distributed Scheduler focusing on Heterogeneous Workloads. (Applied to Industry, the Largest Cloud Platform in China)

Contact

Email

X.Sun4 (at) leeds.ac.uk

Address

3.25 Sir William Henry Bragg Building
University of Leeds
Woodhouse
Leeds
LS2 9BW
United Kingdom