Rui Fan, Associate Professor

Rui Fan, Associate Professor

Tel:  (021) 20685372
Email: fanrui@@shanghaitech.edu.cn
Office: Room 1A-504E, SIST Building
Major: CS
Website:
Education: Ph.D., Massachusetts Institute of Technology, USA
Rui Fan Research Group Recruitment (Click Here)

RESEARCH INTERESTS

  • Parallel and distributed computing   

  • Algorithms and lower bounds

  • Big data and machine learning

  • Energy efficient computing


BIOGRAPHY

Rui Fan joined ShanghaiTech University as an associate professor, PI in December 2016.  Prior to this he was an assistant professor at Nanyang Technological University, Singapore.  He received his BSc in computer science and mathematics from Caltech in 2000, and his PhD in computer science from MIT in 2008.  He was a postdoc at the University of Toronto in 2008, and a Viterbi postdoc at the Technion, Israel in 2010.  His PhD dissertation received MIT's Sprowl's Award for best computer science theses.  He also received two best student paper awards at the ACM Principles of Distributed Computing (PODC) conference.

His research interests span a number of topics in parallel and distributed computing.  He is especially interested in the design of efficient algorithms and algorithmic solutions to problems on large datasets. Applications areas which interest him include machine learning, energy efficient computing, and managing large scale systems.  He also works on distributed algorithms and synchronization related issues, as well as computational lower bounds.


SELECTED PUBLICATIONS

  1. Rundong Li, Yan Wang, Feng Liang, et al., “Fully Quantized Network for Object Detection”, in Proceedings of 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019.

  2. Anh, Pham Nguyen Quang, Fan Rui, “Efficient Algorithms for Graph Coloring on the GPU”, in Proceedings of 24th International Conference on Parallel and Distributed Systems (ICAPDS 2018), 2018.

  3. Zhang Wei, Liu Fang and Fan Rui, “Improved thermal comfort modeling for smart buildings: A data analytics study”, International Journal of Electrical Power and Energy Systems, vol. 103, pp. 634-643, 2018.

  4. Zhang Wei, Wen Yonggang, Liu Fang, Chen Yiqiang and Fan Rui, “Fast media caching for geo-distributed data centers”, Computer Communications, vol. 120, pp. 46-57, 2018.

  5. Zhang Wei, Fan Rui, Wen Yonggang and Liu Fang, “Energy Optimal Wireless Data Transmission for Wearable Devices: A Compression Approach”, IEEE Transactions on Vehicular Technology, vol. 67, no. 10, pp. 9605-9618, 2018.

  6. Pham N. Q. A., Fan R., and Cai W., “Optimizing Agent-Based Simulations for the GPU”, In Proceedings of IEEE 2018 International Conference on High Performance Computing and Simulation (HPCS), July 2018.

  7. Pham Nguyen Quang Anh, Rui Fan and Yonggang Wen, “Balanced Hashing and Efficient GPU Sparse General Matrix-Matrix Multiplication”, In Proceedings of 30th International Conference on Supercomputing (ICS), 2016.

  8. Pan Lai, Rui Fan, “Fast Optimal Nonconcave Resource Allocation”. In Proceedings of IEEE Conference on Computer Communications 2015 (INFOCOM), 2015.