Ke-Yan Liu

Biography

Ke-Yan is a researcher scientist in the HP Labs China, focused on enabling near real-time business intelligence with robust, scalable data management, data-intensive analytics and fusion of structured and unstructured information.

Research interests

• parallel computing and distributed computing
• visual computing and machine learning
• real-time optimisation and simulation

Publications

There are 13 papers in published status before I joined HP labs. These papers focus in parallel optimisation and grid computing.
The following papers are the new papers.
1. Ren wu, keyan liu, Utilizing Multi-core Clusters as the Next Generation BI Platform, In Proceedings of the 15th Annual Workshop HP Software University Association, June 22-25, 2008 (HPSUA'2008).
2. Ke-yan Liu, Shan-qing Li, Liang Tang, Lei Wang and Wei Liu. Fast face tracking using parallel particle filter algorithm. 2009 IEEE International Conference on Multimedia & Expo (ICME 2009) , 1302-1305.
3. Ke-yan Liu, Liang Tang, Shanqing Li, Lei Wang and Wei Liu. Parallel particle filter algorithm in face tracking. 2009 IEEE International Conference on Multimedia & Expo (ICME 2009), 1817-1820.
4. MingJian Tang, Jinli Cao, Xiaohua Jia, Ke-Yan Liu. Optimization on Data Object Compression and Replication in Wireless Multimedia Sensor Networks. DASFAA 2009: 77-91.

Patents

2

Professional activities

ACM professional member