Shu Yin, Assistant Professor

Shu Yin, Assistant Professor

Tel: (021) 20685377
Office: Room 1A-504A, SIST Building
Major: CS
Education: Ph.D., Auburn University, USA


  • Parallel and Distributed Storage Systems

  • High Performance File Systems

  • Storage System Reliability Analysis and Fault Tolerance 

  • Big Data Analysis


Shu Yin is an Assistant Professor, PI in the School of Information Science and Technology at ShanghaiTech University. He received the B.S. and M.S. degrees in Electronic Engineering from Wuhan University of Technology, China, in 2006 and 2008, respectively. He received the Ph.D. in Computer Science from Auburn University, USA in 2012. Prior to joining ShanghaiTech University in 2016, he had been an assistant professor with Hunan University for two years (2012-2014). He then served as an associate professor at Hunan University from 2015 to 2016. His research interests include parallel and distributed systems, storage systems, high performance computing, energy-efficiency, fault tolerance, and reliability analysis. His research is supported by the National Natural Science Foundation of China, China's Ministry of Education, and ShanghaiTech University. He has been on the program committees of various international conferences, including IEEE ICPP, IEEE HPCC, IEEE Cluster, and IEEE IPCCC.


  1. Chen, H., Liu, G., Yin, S., Liu, X., and Qiu, D., “Erect: energy-efficient reactive scheduling for real-time tasks in heterogeneous virtualized clouds”, Journal of computational science, vol. 28, pp. 416-425, 2018.

  2. Chen, H., Zhu, X., Pedrycz, W., Yin, S., Wu, G., and Yan, H., “PEA: Parallel Evolutionary Algorithm by Separating Convergence and Diversity for Large-Scale Multi-Objective Optimization”, in Proceedings of 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS), pp. 223-232, July 2018.

  3. Yin, S., Jiao, B., Zhu, X., Ruan, X., Chen, S., and Tang, Z., “DuoFS: A Hybrid Storage System Balancing Energy-Efficiency, Reliability, and Performance”, in Proceedings of Parallel, Distributed and Network-based Processing (PDP) of 2018 26th Euromicro International Conference, pp. 478-485, March 2018.

  4. Jiao, B., Zhu, X., Ruan, X., Qin, X., & Yin, S., “Duofs: An attempt at energy-saving and retaining reliability of storage systems”, in Proceedings of Distributed Computing Systems (ICDCS), 2017 IEEE 37th International Conference, pp. 2634-2635, June 2017.

  5. Yin, S., Xiao, Z., Li, K., Huang, J., Ruan, X., Zhu, X., & Qin, X., “RESS: A reliable energy-efficient storage system”, in Proceedings of Parallel and Distributed Systems (ICPADS), 2016 IEEE 22nd International Conference on (pp. 1193-1198), December 2016.

  6. Huang, J., Wang, Y., Qin, X., Liang, X., Yin, S., & Xie, C., “Exploiting pipelined encoding process to boost erasure-coded data archival”, IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 11, pp. 2984-2996, 2015.

  7. Yin, S., Li, X., Li, K., Huang, J., Ruan, X., Zhu, X., ... & Qin, X., “REED: A reliable energy-efficient RAID”, in Proceedings of Parallel Processing (ICPP), 2015 44th International Conference, pp. 649-658, September 2015.

  8. Zhu, X., Yang, L. T., Chen, H., Wang, J., Yin, S., & Liu, X., “Real-time tasks oriented energy-aware scheduling in virtualized clouds”, IEEE Transactions on Cloud Computing, vol.  2, no. 2, pp. 168-180, 2014.

  9. Zhang, J., Zhao, X., Zhang, S., Yin, S., Qin, X., & Senior Member, I. E. E. E., “Interrelation analysis of celestial spectra data using constrained frequent pattern trees”, Knowledge-Based Systems, vol. 41, pp. 77-88, 2013.

  10. Mei, J., Li, K., Hu, J., Yin, S., & Sha, E. H. M., “Energy-aware preemptive scheduling algorithm for sporadic tasks on DVS platform”, Microprocessors and Microsystems, vol. 37, no. 1, pp. 99-112, 2013.