Name: Han Rui
Discipline: Computer Science and Technology
Title: Associate Professor
Contact number:
E-mail: 379068433@qq.com (hanrui@bit.edu.cn)
Address: Software Building 309, Zhongguancun Campus, Beijing Institute of Technology Personal Information
Han Rui, Associate Professor, Special Researcher, Doctoral Supervisor. In 2010, he graduated from Tsinghua University with an excellent master's degree. In 2014, he graduated from Imperial College London with a doctor's degree. From April 2014 to June 2018, he worked at the Institute of Computing Technology of Chinese Academy of Sciences. He focuses on cloud computing system optimization for typical loads (machine learning, deep learning, Internet services) and has published more than 40 papers in top (important) journals and conferences in the fields of TPDS, TSC, INFOCOM, ICDCS, ICPP, RTSS, CCGrid, etc.
Research Direction
Big Data Machine Learning/Deep Learning System Optimization
Large Scale High Concurrency Internet Service Optimization
Cloud Computing Platform Resource Management and Job Scheduling
Personal Information
Han Rui, Associate Professor, Special Researcher, Doctoral Supervisor. In 2010, he graduated from Tsinghua University with an excellent master's degree. In 2014, he graduated from Imperial College London with a doctor's degree. From April 2014 to June 2018, he worked at the Institute of Computing Technology of Chinese Academy of Sciences. He focuses on cloud computing system optimization for typical loads (machine learning, deep learning, Internet services) and has published more than 40 papers in top (important) journals and conferences in the fields of TPDS, TSC, INFOCOM, ICDCS, ICPP, RTSS, CCGrid, etc.
Personal Information
Han Rui, Associate Professor, Special Researcher, Doctoral Supervisor. In 2010, he graduated from Tsinghua University with an excellent master's degree. In 2014, he graduated from Imperial College London with a doctor's degree. From April 2014 to June 2018, he worked at the Institute of Computing Technology of Chinese Academy of Sciences. He focuses on cloud computing system optimization for typical loads (machine learning, deep learning, Internet services) and has published more than 40 papers in top (important) journals and conferences in the fields of TPDS, TSC, INFOCOM, ICDCS, ICPP, RTSS, CCGrid, etc.
Representative Academic Achievements
Big Data Machine Learning Systems and Test Sets
1. Rui Han, Fan Zhang, and Zhentao Wang. AccurateML: Information-aggregation-based Approximate Processing for Fast and Accurate Machine Learning on MapReduce. In INFOCOM 2017, Atlanta, GA, USA. pp. 838-846, IEEE, 2017 (CCF A)
2. Rui Han, Lizy Kurian John, and Jianfeng Zhan. Benchmarking Big Data Systems: A Review. In: IEEE Transactions on Services Computing (TSC), IEEE, volume 11, issue. 3, pp 580-597, 2017. (Top 5% of journal subjects, SCI JCR Region 1, Chinese Academy of Sciences, Recommended by PayPal and CSDN 100 representative big data papers (one of 2 Chinese papers).
3. Rui Han, Fan Zhang, and Lydia. Y. Chen, and Jianfeng Zhan. Maximizing Model Accuracy in Real-time and Iterative Machine Learning. In: RTSS 2017, Paris, France. IEEE, 2017. (CCF A)
Large Scale High Concurrency Internet Service Optimization
1. Rui Han, Siguang Huang, Zhentao Wang, and Jianfeng Zhan. CLAP: Component-level Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services. In IEEE Transactions on Parallel and Distributed Systems (TPDS), volume 28, issue. 8, pp. 2190-2203, 2017. (CCF A)
2. J.L. Vazquez-Poletti, R. Moreno-Vozmediano, Rui Han, Weikun Wang, I.M. Llorente. SaaS enabled admission control for MCMC simulation in cloud computing infrastructures. Computer Physics Communications. Volume 211, February 2017, Pages 88-97. (JCR District 1, SCI).
Cloud Computing Platform Resource Management and Job Scheduling
1. Rui Han, Li Guo, Moustafa M Ghanem, Yike Guo. Lightweight Resource Scaling for Cloud Applications. In: CCGrid 2012, Ottawa, Canada. pp. 644-651. IEEE, 2012. (Citations >175)
2. Rui Han, Moustafa M. Ghanem, Li Guo, Yike Guo and Michelle Osmond. Enabling Cost-Aware and Adaptive Elasticity of Multi-tier Cloud Applications. In: Future Generation Computer Systems, 32, 82-98, 2014 (citations >100).
Awards received
1. Outstanding Master graduates of Tsinghua University (among 2702 master graduates in 2010, 46 were rated as outstanding graduates)
2. The 26th China Database Academic Conference (NDBC2009) Sa Shixuan Excellent Paper Award (1)
3. Institute of Computing Sciences 2007-2017 "Academic 100 Stars"
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):