Lin Wang
Ph.D candidate in Computer Science
Institute of Computing Technology, Chinese Academy of Sciences
- Address:
Room 1010K, ICT building, CAS
P.O.Box 2704, Beijing 100190, China
- Email: wanglin AT ict.ac.cn
- Blog: http://blog.wangyoang.com
I am a PhD candidate in Computer Science at Institute of Computing Technology, Chinese Academy of Sciences since 2010. I am working at efficient algorithm research group, and my advisor is Prof. Zhiyong Liu.
I received the Bachelor's degree in Computer Science from Beijing Institute of Technology in 2010. I come from an east province of China, Anhui.
- Data center networking
- Sustainable computing and energy-aware system design
- Algorithm design and analysis
- Green network (2011 - ): This research is on theories and techniques for globally reducing energy consumption in network level. The following issues are investigated: (1) Techniques for network infrastructure design and deployment of network nodes that can reduce network energy consumption. (2) Scheduling and routing algorithms and protocols that can reduce network energy consumption. The goals of this research include: (1) System models will be formalized to realistically express the characteristics and restrictions of current network technologies. (2) Techniques for network nodes deployment that can reduce network energy consumption will be developed. (3) Energy efficient algorithms and protocols for network message routing and scheduling will be developed. (4) Provide proof of correctness of our protocols and algorithms and theoretical analysis of them. (5) A platform will be built for the simulation of the algorithms, protocols and for testing the infrastructure design and node deployment schemes.
- ParaEMAN (2009 - 2010): Single particle reconstruction is one of the most important technologies for determining three-dimensional structures of macromolecules. Unfortunately, its application is greatly constrained, due to its extremely long processing time and lack of efficient parallel implementations. This project optimizes and parallelizes one of the most widely-used software packages for single particle reconstruction: EMAN. By analyzing algorithms of its major components, we found that the key problem was achieving ideal load balancing with low communication costs. A self-adaptive dynamic scheduling algorithm is introduced to solve this problem. It’s not only applicable to EMAN, but also to other similar scheduling problems with independent tasks.
- siRNA Designer (2008 - 2010): This is a software used to predict right siRNAs which can be used to help with the manufacture of drugs. We use a few kinds of machine learning method to train on datasets and then make prediction by the obtained models.
- Lin Wang, Antonio Fernandez Anta, Fa Zhang, Chenying Hou, Zhiyong Liu, "Energy-efficient Network Routing with Discrete Cost Functions", 9th Annual Conference on Theory and Applications of Models of Computation (TAMC2012), Lecture Notes in Computer Science 7287, Springer, to appear.
- Chenying Hou, Fa Zhang, Lin Wang and Zhiyong Liu, "Time-slot Energy-efficient Scheduling Algorithm for Capacity Limited Networks", The 2011 IEEE/ACM International Conference on Green Computing and Communications, Chengdu, Aug. 4-5, 2011.
- Excellent student award of Graduate University of Chinese Academy of Sciences. 2009-2010.
- Outstanding College Graduate of Beijing Municipality, 2010.
- The National Scholarship, 2009.
- The People's Scholarship of Beijing Institute of Technology, 2006-2010.
Lin Wang
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The translation was initiated by Lin Wang on 2011-12-05
Lin Wang
2011-12-05