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袁 博


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袁 博

 

 

电 话:(0551)
E- Mail: yuanbo@ustc.edu.cn  
个人主页:http://staff.ustc.edu.cn/~yuanbo/
 

主要研究方向
演化计算、容错计算、电子设计自动化

  

袁博,男,1986年7月生,博士,特任副研究员。分别于2009年和2014年获中国科学技术大学学士和博士学位。2012年5月至2013年4月访问英国伯明翰大学计算机学院。2014年6月至2016年5月任中国科学技术大学计算机学院博士后研究员。2016年6月起任中国科学技术大学计算机学院特任副研究员。主持国家自然科学基金青年科学基金项目、中国博士后科学基金特别资助项目、中国博士后科学基金面上资助(一等)项目。

 

获 奖 情 况

   

2014年度中国科学院院长优秀奖

  

主 要 论 著

   

[01] Bo Yuan, Bin Li, Huanhuan Chen, and Xin Yao, Defect- and Variation-tolerant Logic Mapping in Nano-crossbar Using Bipartite Matching and Memetic Algorithm, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, DOI: 10.1109/TVLSI.2016.2530898.
[02] Bo Yuan, Bin Li, Huanhuan Chen, and Xin Yao, A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem, IEEE Transactions on Cybernetics, vol. 45, no. 5, pp. 1040-1053, May 2015.
[03] Bo Yuan, Bin Li, Thomas Weise, and Xin Yao, A New Memetic Algorithm with Fitness Approximation for the Defect-Tolerant Logic Mapping in Crossbar-based Nanoarchitectures, IEEE Transactions on Evolutionary Computation, vol. 18, no. 6, pp. 846-859, Dec. 2014.
[04] Bo Yuan and Bin Li, A Fast Extraction Algorithm for Defect-free Subcrossbar in Nanoelectronic Crossbar, ACM Journal on Emerging Technologies in Computing Systems, vol. 10, no. 3, article 25, 19 pages, Apr. 2014.
[05] Bo Yuan and Bin Li, Coverage Optimization for Defect-Tolerance Logic Mapping on Nanoelectronic Crossbar Architectures, Journal of Computer Science and Technology, vol. 27, no. 5, pp. 979-988, Sept. 2012.
[06] Bo Yuan and Bin Li, A Low Time Complexity Defect-Tolerance Algorithm for Nanoelectronic Crossbar, in Proceedings of the International Conference on Information Science and Technology, pp. 143-148, Mar. 2011.
[07] Bo Yuan and Bin Li, Diversity Mapping Scheme for Defect and Fault Tolerance in Nanoelectronic Crossbar, inProceedings of the International Conference on Information Science and Technology, pp. 149-154, Mar. 2011.
[08] Fugui Zhong, Bo Yuan, and Bin Li, A Hybrid Evolutionary Algorithm for Multiobjective Variation Tolerant Logic Mapping on Nanoscale Crossbar Architectures, Applied Soft Computing, vol. 38, pp. 955-966, May 2016.
[09] Yu Wang, Bin Li, Thomas Weise, Jianyu Wang, Bo Yuan, and Qiongjie Tian, Self-Adaptive Learning based Particle Swarm Optimization, Information Sciences, vol. 181, no. 20, pp. 4515-4538, Oct. 2011.
[10] Yu Wang, Bin Li, and Bo Yuan, Hybrid of Comprehensive Learning Particle Swarm Optimization and SQP Algorithm for Large Scale Economic Load Dispatch Optimization of Power System, Science China F: Information Sciences, vol. 53, no. 8, pp.1566-1573, Aug. 2010.
[11] Fugui Zhong, Bin Li, and Bo Yuan, Circuit Tolerance Design by Differential Evolution with Hybrid Analysis Method, inProceedings of the International Conference on Advanced Computational Intelligence, pp. 74-78, Feb. 2016.
[12] Fugui Zhong, Bo Yuan, and Bin Li, Hybridization of NSGA-II with Greedy Re-assignment for Variation Tolerant Logic Mapping on Nano-scale Crossbar Architectures, in Proceedings of the Genetic and Evolutionary Computation Conference, pp. 97-98, Jul. 2014.
[13] Yi Yang, Bo Yuan, and Bin Li, Defect and Variation Tolerance Logic Mapping for Crossbar Nanoarchitectures as a Multi-Objective Problem, in Proceedings of the International Conference on Information Science and Technology, pp. 1139-1142, Mar. 2011.

 

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