Yulai Xie received his Ph.D. degree working with Prof. Dan Feng in Computer Architecture from Huazhong University of Science and Technology (HUST) in 2013. He has been a visiting scholar in University of California, Santa Cruz working with Prof.Darrell Long during 2010-2011 and a visiting researcher in Chinese University of Hong Kong in 2015. He joined HUST as an assistant professor in November, 2015, and was promoted to associate professor in November, 2016. He is currently leading the provenance-aware storage applications and systems research group in Data Storage and Application Lab, HUST. His current research interests include provenance-aware data storage, intrusion detection, distributed file systems, cloud storage and vitualization. He currently serves as the web editor of IEEE Letters of the Computer Society. He is also an editoral board member of GSL Journal of Forensic Research and International Journal of Next-Generation Networks. He is member of ACM, IEEE and China Computer Federation (CCF).
Always looking for self-motivated students with strong background in computer architecture and system. If you have strong skills in mathmatics, you are also welcome to join in my group. Please do not hesitate to contact me (firstname.lastname@example.org) if you are interested to do the research on storage or security.
Efficient Storage and Query for Large-Scale Provenance in Distributed Environment, Hubei Natural Science Foundation, PI,2017-2018.
System and Method for Provenance-based Intrusion Detection,CCF-Venustech Hongyan Research Initiative, PI, 2016-2017
Innovation Research Foundation of Huazhong University of Science and Technology, PI, 2016-2018
Efficient Storage and Management for Large-scale Provenance, Postdoctoral Foundation of China, PI, 2014-2015.
National information storage conference in Xi'an, in Sep. 2017
China Computer Congress in Fuzhou, in Oct. 2017
Awards in 2016 China Computer Congress
Provenance-based network security, National information storage conference, Sep. 2017
Oasis: an active storage framework for object storage platform, CUHK seminar, Dec. 2015
A Hybrid Approach for Efficient Provenance Storage, CIKM 2012.
Design and Evaluation of Oasis: An Active Storage Framework based on T10 OSD Standard, MSST 2011.
Compressing Provenance Graphs, The 9th Annual SSRC Research Retreat, May 2011.
Provenance Pruning for Local Storage Systems Based on the PASS Model, SSRC Lab Seminar, March 2011.
Darrell D. E. Long is the Director of the Storage Systems Research Center. He is Professor of Computer Engineering and holds the Kumar Malavalli Endowed Chair. His current research interests in the storage systems area include high performance storage systems, archival storage systems and energy-efficient storage systems. His research also includes computer system reliability, video-on-demand, applied machine learning, mobile computing and cyber security.
Dr. Long is Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and Fellow of the American Association for the Advancement of Science (AAAS). He is Visiting Professor at the United States Naval Postgraduate School and Professor ad Honorem de la Universidad Católica del Uruguay. He has been Visiting Professor at the University of Technology, Sydney, and Professeur Invité at the Université Paris–Dauphine, the Conservatoire National des Arts et Métiers and the Université Paris–Descartes. He is an Associate Member, European Organization for Nuclear Research (CERN).