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, Research Scientist, and 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. He worked as a student intern in the HPC-IO group at Los Alamos National Lab in 2011. Prior to joining ShanghaiTech University in 2016, he had been an assistant professor with Hunan University for two years (2012-2014). He worked as a post-doctoral researcher at the State Key Lab of High Performance Computing, National University of Defense Technology in 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, the China Postdoctoral Science Foundation, and ShanghaiTech University. He has been on the program committees of various international conferences, including IEEE IPDPS, IEEE ICDCS, IEEE ICPP, IEEE Cluster, and IEEE Bench.
T.-L. Deng, H.-P. Wu, Y.-L. Zou, S. Chen, T. Xie, and S. Yin, “ADA: An Application-Conscious Data Acquirer for Visual Molecular Dynamics”, in Proceedings of the 50th International Conference on Parallel Processing(ICPP-2021), Chicago, USA, August 9-12, 2021(CCF-B)
J. Zhang, X. Tao, Y.-Z. Jing, Y.-J. Song, G.-Z. Hu, S. Chen, and S, Yin “BORA: A Bag Optimizer for Robotic Analysis”, in Proceedings of the 31th International Conference for High Performance Computing, Networking, Storage, and Analysis (SC- 2020), Atlanta, USA, November 9-19, 2020 (CCF-A)
J.-C. Shang, S. Chen, J. Wu, and S. Yin, “ARSpy: Breaking Location-based Multi-player Augmented Reality Application for User Location Tracking”, IEEE Transactions on Mobile Computing, Early Access, 2020 (CCF-A)
Ruan Xiaojun, Chen Haiquan, Tian Yun, Yin Shu, “Virtual machine allocation and migration based on performance-to-power ratio in energy-efficient clouds”. Future Generation Computer Systems, vol. 100, pp. 380-394, 2019.
C. Chen, T.-L. Deng, J. Zhang, Y.-L. Zou, and S. Yin “Optimizing KV-Embedded File Systems through Flat Indexing”, in Proceedings of the 40th IEEE International Conference on Distributed Computing Systems (ICDCS-2020), Singapore, July 8-10, 2020 (CCF-B)
W.-T Lyu, P. Ding, Y.-L. Zhang, A.-P. Chen, M.-Y. Wu, S. Yin, and J.-Y. Yu, “Refocusable Gigapixel Panoramas for Immersive VR Experiences”. IEEE Transactions on Visualization and Computer Graphics, vol. PP, no. 99, p. 1, 2019. (CCF-A)
H.-K. Chen, X.-M. Zhu, W. Pedrycz, and S. Yin “PEA: Parallel Evolutionary Algorithm by Separating Convergence and Diversity for Large-Scale Multi-Objective Optimization”, in Proceedings of the 38th IEEE International Conference on Distributed Computing Systems (ICDCS-2018), Vienne, Austria, July 2-5, 2018 (CCF-B)
H.-K. Chen, X.-M. Zhu, W. Pedrycz, S. Yin, G. Wu, and H. Yan, “PEA: Parallel Evolutionary Algorithm by Separating Convergence and Diversity for Large-Scale Multi-Objective Optimization”, in Proceedings of the 38th International Conference on Distributed Computing Systems (ICDCS-2018), pp. 223-232, July 2018. (CCF-B)
B. Jiao, X.-M. Zhu, X.-J. Ruan, X. Qin, and S. Yin, “Duofs: An attempt at energy-saving and retaining reliability of storage systems”, in Proceedings of the 37th International Conference on Distributed Computing Systems (ICDCS-2017), 2017 IEEE 37th International Conference, pp. 2634-2635, June 2017. (CCF-B)
S. Yin, X.-W. Li, K.-L. Li, J.-Z. Huang, X.-J. Ruan, X.-M. Zhu and X. Qin, “REED: A reliable energy-efficient RAID”, in Proceedings of the 44th International Conference on Parallel Processing (ICPP-2015), 2015 44th International Conference, pp. 649-658, September 2015. (CCF-B)
S. Yin, X.-J Ruan, A. Manzanares, X. Qin, and K.-L Li, “MINT: A Reliability Modeling Framework for Energy- Efficient Parallel Disk Systems,” IEEE Transactions on Dependable and Secure Computing, vol. 11, no. 11, pp. 345-360, July 2014 (CCF-A)