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Shu Xiao 0001
Person information
- affiliation (PhD 2006): Nanyang Technological University, Singapore
Other persons with the same name
- Shu Xiao — disambiguation page
- Shu Xiao 0002 — University of Illinois Urbana-Champaign, Department of Electrical and Computer Engineering and Coordinated Science Laboratory, USA
- Shu Xiao 0003 — South China Sea Institute of Oceanology Chinese Academy of Sciences, Innovation Academy of South China Sea Ecology and Environmental Engineering, Guangzhou, China
- Shu Xiao 0004 — State Grid NanTong Electric Power Supply Company, NanTong, JiangSu, China
- Shu Xiao 0005 — Shaanxi Normal University, School of Mathematics and Statistics, Xi'an, China
- Shu Xiao 0006 — Harbin Engineering University, College of Automation, China
- Shu Xiao 0007 — SkyStream Networks, Inc., USA
- Shu Xiao 0008 — Old Dominion University, Frank Reidy Research Center for Bioelectrics, Department of Electrical and Computer Engineering, Norfolk, VA, USA
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2000 – 2009
- 2008
- [j2]Shu Xiao, Edmund Ming-Kit Lai:
A Rough Programming Approach to Power-Balanced Instruction Scheduling for VLIW Digital Signal Processors. IEEE Trans. Signal Process. 56(4): 1698-1709 (2008) - 2007
- [j1]Shu Xiao, Edmund Ming-Kit Lai:
VLIW instruction scheduling for minimal power variation. ACM Trans. Archit. Code Optim. 4(3): 18 (2007) - 2006
- [b1]Shu Xiao:
Power-balanced instruction scheduling for pipelined VLIW architectures. Nanyang Technological University, Singapore, 2006 - 2005
- [c4]Shu Xiao, Edmund Ming-Kit Lai, A. Benjamin Premkumar:
Rule-Based Power-Balanced VLIW Instruction Scheduling with Uncertainty. Asia-Pacific Computer Systems Architecture Conference 2005: 28-40 - [c3]Shu Xiao, Edmund Ming-Kit Lai:
Instruction scheduling of VLIW architectures for balanced power consumption. ASP-DAC 2005: 824-829 - [c2]Shu Xiao, Edmund Ming-Kit Lai:
A rough programming approach to power-aware VLIW instruction scheduling for digital signal processors. ICASSP (5) 2005: 141-144 - [c1]Shu Xiao, Edmund Ming-Kit Lai, A. Prasad Vinod:
VLIW instruction scheduling for DSP processors based on rough set theory. ISSPA 2005: 311-314
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