Dr. Rui Han is an associate professor and PhD supervisor at the School of Computer Science & Technology, Beijing Institute of Technology (BIT). Before joining BIT in 2014, He received MSc with honor in 2010 from Tsinghua University, China, and obtained his PhD degree in 2014 from the Department of Computing, Imperial College London, UK. His research interests are cloud and edge computing, big data systems, and system optimization for highly parallel workloads (in particular big data analytics and deep learning applications). He has over 90 publications in these areas, including papers at ACM MobiCom, TC, TPDS, TKDE, TDSC, INFOCOM, ICDCS, ICPP, CCGrid, and CLOUD. In recent years, he serves as Workshop/Publicity Chair of  ACM/IFIP Middleware'25  and TPC in internaitonal conferences including EuroSys, Middleware, ICDCS, VTC, CCGrid, Cloud, UCC, and Edge.

Dr. Rui Han also acts as the technical advisor in a list of companies, including ThunderSoft (Edge computing),  SudoPrivacy (Data privacy),  Transwarp (Big data systems), TravelSky Technology Limited  (On-device cargo loading optimization),  and closely collaborates with companies such as Tecent, Midea, and CASICloud.

Selected publications:

• • Edge Intelligence

[1] Rui Han, Q. Zhang, C. H. Liu, G. Wang, J. Tang, Lydia Y. Chen. LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision. In:  ACM MOBICOM 2021 (Best Community Paper Award Runner-up), New Orleans, United States. ACM, 2021.   

[2] Rui Han, Dong Li, Junyan Ouyang, Chi Harold Liu, Guoren Wang, Dapeng Wu，Lydia Y. Chen. Accurate Differentially Private Deep Learning on the Edge. In: IEEE Transaction on Parallel and Distributed Systems (TPDS), volume 32, issue. 9, Page(s): 2231 - 2247, 2021.   

[3] Rui Han, S. Li, S. Xiang, C. H. Liu*, G. Xin, Lydia Y. Chen. Accelerating Gossip-based Deep Learning in Heterogeneous Edge Computing Platforms. In: IEEE Transaction on Parallel and Distributed Systems (TPDS), volume 32, issue. 7, Page(s): 1591-1602, 2020.   

[4] Qinglong Zhang, Rui Han*, Gaofeng Xin, Chi Harold Liu, Guoren Wang, Lydia Y. Chen, Lightweight and Accurate DNN-based Anomaly Detection at Edge. Accepted in TPDS.

• • Big Data Analytics and Parallel Services in the Cloud  

[1] Rui Han, C. H. Liu, S. Li, L. Chen, G. Wang, J. Tang and J. Ye. SlimML: Removing Non-critical Input Data in Large-scale Iterative Machine Learning. In:  IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume: 33, Issue: 5, Page(s): 2223-2236, 2021.  

[2] Rui Han, C. H. Liu, S. Li, S. Wen, and X. Liu. Accelerating Deep Learning Systems via Critical Set Identification and Model Compression. In: IEEE Transactions on Computers (TC), Volume: 69, Issue:7, Page(s): 1059-1070, July 2020.  

[3] 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), IEEE, volume 28, issue. 8, pp 2190 - 2203, 2017.  

• • Cloud Job Scheduling and Benchmarking 

[1] Rui Han, S. Wen, C. H. Liu, Y. Yuan, G. Wang, L. Y. Chen.  EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources.  In: IEEE INFOCOM 2022. 2022. (CCF A)

[2] Rui Han, C. H. Liu, Z. Zong, Lydia Y. Chen, W. Liu, S. Wang, J. Zhan.  Workload-adaptive Configuration Tuning for Hierarchical Cloud Schedulers.  In: IEEE Transaction on Parallel and Distributed Systems (TPDS), Volume: 30, Issue: 12, Page(s): 2879-2895. 2019. 

[3] 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.  

[4] Zhen Jia, Jianfeng Zhan, Lei Wang, Chunjie Luo, Wanling Gao, Yi Jin, Rui Han, and Lixin Zhang . Understanding Big Data Analytics Workloads on Modern Processor. In IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume: 28, Issue: 6, Page(s): 1797-1810, 2016.  

My team:

PhD students: Shilin Wen, Xiaojiang Zuo, Yuxiao Liu, Wending Liu, Yadong Wang

Master students: Qinglong Zhang, Shilin We, Dong Li, Ouyang Junyang, Xiaowang Wang, Gaofeng Xin, Yidong Xu, Xiao Wang, Xinyu Wang, Xinyu Chang

Former students: Zifeng Liu, Linxu Zhang, Hedong Yang, Yujun Jiang, Zeqing Li, Xiaoxin Ma, Fan Zhang, Zan Zong, Rui Wang, Xin Chen, Yangui Dong, Yishun Dou, Fengming Ge, XIaochen Hu, Siguang Huang, Jirong Chen, Zejun Li, Chenrong Shao, Siyi Wang, Zhentao Wang, Mengyao Xie, Jiangtao Xu, Chenkun Ye, Shulin Zhan, Xiexuan Zhou