Dr Renyu Yang

Dr Renyu Yang


I am currently a research fellow, funded by a UK EPSRC grant, with the School of Computing, Faculty of Engineering and Physical Sciences, University of Leeds, UK. I am also a visiting research scientist with the Big Data and Brain Computing Research Center (BDBC), Beijing, China. I was a research scientist at Edgetic Ltd., a UK-based startup high-tech company that employs distributed scheduling, machine learning, hardware-software modeling, etc. to reshape the future of data center efficiency. During 2014 to 2016, I was also with Fuxi, the Distributed Resource Scheduling Team in Alibaba Group, participating in the development and research on resource scheduling and performance optimization at Internet scale. I co-authored/co-led several China national and international projects, including China 973/863, UK EPSRC, InnovateUK,  EU Horizon 2020, etc.,in terms of distributed resource management and scheduling, massive-scale data analysis for intelligent decision making, and deep learning systems. We have been building large-scale resource management infrastructures and system profiling framework to support those functionalities.

I has published more than 45 peer-reviewed papers, in the field of distributed systems, cloud computing, data centric engineering, and applied deep learning techniques. They appear in top journals and conference proceedings such as IEEE Trans. on Parallel and Distributed Systems (TPDS), IEEE Trans. on Computers (TC), IEEE Trans. on Knowledge and Data Engineering (TKDE), IEEE Trans. on Neural Networks and Learning Systems (TNNLS), IEEE Trans. on Services Computing (TSC), ACM Trans. on Information Systems (TOIS), ACM Trans. on Knowledge Discovery from Data (TKDD), ACM Computing Surveys (CSUR), IEEE Internet Computing, VLDB, IEEE ICDCS, IEEE DSN, USENIX LISA, ACM SoCC, etc. I won the Best Paper Award in IEEE ISADS 2013 for energy-efficient computing and Alan Turing Institute Post-Doctoral Enrichment Award 2022 for resilient deep reinforcement learning. I was awarded the Grand Class of Scientific and Technological Progress Award of Chinese Institute of Electronics of year 2017 (the only grand class award since the award is established) for the key contribution to the reliable resource management at massive scale and its industrial and societal impact.

I had led several UK-China research collaborations including the COLAB (short for Leeds, Alibaba, Beihang) project and developed strong links with China-UK Computer Science community (such as Tsinghua University, Peking University, SJTU, NUDT, University of Edinburgh, Lancaster University, Newcastle University upon Tyne, etc.). I co-founded the SIGRS (Special Interest Group on Resource Scheduling) and subsequent MSDS (Massive-Scale Distributed Systems) Research Group in COLAB.  I served as program co-chairs of IEEE International Conference on Joint Cloud Computing (JCC) 2019 and 2020,  and area chair of IEEE International Conference on Cloud Computing (CLOUD) 2021, guest editor of Big Data and Cognitive Computing Journal, review editor in Editorial Board of Frontiers in Big Data (Cybersecurity and Privacy), and program comittee member of many top-tier conferences including IJCAI, ECAI, CLOUD, etc. I am a member of IEEE and ACM.

Research interests

Broadly, I am interested in designing system modules and/or mechanisms for tackling trade-offs in efficiency, performance, reliability and cost for distributed systems of big data, cloud computing and IoT at scale. My research mainly focuses on:

1) resource efficiency of large-scale datacenters through data-driven design, QoS-aware scheduling and resource management, and multi-objective optimization, etc.;

2) system dependability by leveraging fault tolerance and failover, long-tail task mitigation, and quantitative reliability modeling etc.;

3) machine/deep learning systems and applications including data-centric engineering, GPU scheduling and parallelism, graph representation learning, anomaly detection, etc.

Recent publications and research outcomes can be found in my personal website.  

<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>


  • PhD
  • BSc

Professional memberships

  • IEEE

Student education

I have a teaching role in the school for undergraduate degree courses, undergraduate final year projects, and MSc projects.  I also co-supervise PhD students in the areas of distributed computing systems, cloud computing, and applied machine learning.