Xia Wen



Academic Areas:Storage Systems

Research Interests:

Wen Xia received his Ph.D. degree in Computer Science from Huazhong University of Science and Technology (HUST), advised by Prof. Dan Feng, in June, 2014. He was a visiting student in Department of Computer Science and Engineering, University of Nebraska-Lincoln (UNL), advised by Prof. Hong Jiang, in 2011-2012, Research Assistant in NEC Laboratory American (NEC Labs), and advised by Dr. Cristian Ungureanu, Dr. Erik Kruus, and Dr. Biplob Debnath, in 2012-2013. His current research interests include data deduplication, delta compression, and storage systems. He publishes several papers in major journals and international conferences including IEEE Transactions on Computers (TC), Performance Evaluation (PEVA), USENIX ATC, IFIP Performance, IEEE DCC, ICA3PP, IEEE NAS, etc.


Academic Degrees*

Ph.D. in Computer Science, 2014, Huazhong University of Science and Technology.

B.E. in Computer Science, 2008, Hunan Normal University.

Professional Experience*

Research Assistant (2012-2013), NEC Laboratory American (NEC Labs), NJ, USA. Advisor: Dr. Cristian Ungureanu, etc.

Visiting Student (2011-2012), University of Nebraska- Lincoln (UNL), NE, USA. Advisor: Prof. Hong Jiang.


Selected Publications*

  • Wen Xia, Hong Jiang, Dan Feng, Lei Tian, Min Fu, and Yukun Zhou, "Ddelta: A Deduplication-Inspired Fast Delta Compression Approach", in Proceedings of the 32nd International Symposium on Computer Performance, Modeling, Measurements and Evaluation 2014 (IFIP Performance’14), TURIN, Italy, October 7-9, 2014, pages 258-272.

  • Wen Xia, Hong Jiang, Dan Feng, and Yu Hua. "Similarity and Locality based Indexing for High Performance Data Deduplication". Accepted and to appear in IEEE Transactions on Computers, 2014 (IEEE TC, Digital Object identifier: 10.1109/TC.2014.2308181).

  • Wen Xia, Hong Jiang, Dan Feng, and Lei Tian. "Combining Deduplication and Delta Compression to Achieve Low-Overhead Data Reduction on Backup Datasets". In Proceedings of IEEE Data Compression Conference 2014 (IEEE DCC'14), Snowbird, Utah, March 26-28, 2014, IEEE Computer Society Press, pages 203–212.

  • Min Fu, Dan Feng, Yu Hua, Xubin He, Zuoning Chen, Wen Xia, Fangting Huang, and Qing Liu, "Accelerating Restore and Garbage Collection in Deduplication-based Backup Systems via Exploiting Historical Information", in Proceedings of the 2014 USENIX Annual Technical Conference (USENIX ATC'14), Philadelphia, PA, June 19–20, 2014, USENIX Association, pages 181-192.

  • Rongyu Lai, Yu Hua, Dan Feng, Wen Xia, Min Fu, and Yifan Yang, "A Near-exact Defragmentation Scheme to Improve Restore Performance for Cloud Backup Systems", Accepted to appear in Proceedings of the 14th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2014), Dalian, China, August 24-27, 2014, pages 457-471.

  • Wen Xia, Hong Jiang, Dan Feng, and Lei Tian. "Accelerating Data Deduplication by Exploiting Pipelining and Parallelism with Multicore or Manycore Processors", Work-In-Progress Report and Poster Session in the 10th USENIX Conference on File and Storage Technologies(USENIX FAST'12), San Jose, CA, February, 2012, USENIX Association, pages 1-2.

  • Wen Xia, Hong Jiang, Dan Feng, Lei Tian, Min Fu, and Zhongtao Wang, "P-Dedupe: Exploiting Parallelism in Data Deduplication System", in Proceedings of the 7th IEEE International Conference on Networking, Architecture, and Storage (IEEE NAS'12), June 28-30, 2012, Xiamen, China, IEEE Computer Society Press, pages 338–347.

  • Wen Xia, Hong Jiang, Dan Feng, and Yu Hua, "SiLo: A Similarity-Locality based Near-Exact Deduplication Scheme with Low RAM Overhead and High Throughput", in Proceedings of The 2011 USENIX Annual Technical Conference (USENIX ATC'11), Portland, OR, June 15–17, 2011, USENIX Association, pages 285-298.

Working Papers*

Selected Cases

Awards and Honors

Student Travel Grant. The 2014 USENIX Annual Technical Conference (USENIX ATC'14), Philadelphia, PA, USA, 2014. Science Star (TOP Award for Ph.D. Students in WNLO), Wuhan National Laboratory for optoelectronics, Wuhan, China, 2013. Guanghua

Courses Taught


In The Media