袁博Google Scholar ResearcherID

助理教授 计算机科学与工程系
研究方向：计算智能、组合优化、神经形态计算、电子设计自动化
工作经历：
2021/02 - 至今，南方科技大学，助理教授（博士生导师）
2017/03 - 2021/01，南方科技大学，研究助理教授、研究副教授
2016/06 - 2017/02，中国科学技术大学，特任副研究员
2014/06 - 2016/05，中国科学技术大学，博士后研究员
教育背景：
2009/09 - 2014/06，中国科学技术大学，博士
2012/05 - 2013/04，英国伯明翰大学，访问****
2005/09 - 2009/06，中国科学技术大学，学士
荣誉与奖项：
深圳市海外高层次人才，2017年
中国科学院院长奖，2014年
课题组招收：
博士后、研究助理
博士、硕士、访问学生
个人简介Brief Bio:
Bo Yuan is a Tenure-track Assistant Professor at Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), China. He received his B.Sc. and Ph.D. degrees from School of Information Science and Technology, University of Science and Technology of China (USTC), China, in 2009/06 and 2014/06 respectively. During 2012/05 to 2013/04, he was a Visiting Scholar (funded by NICaiA) at the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, UK. During 2014/06 to 2016/05, he was a Postdoctoral Fellow at School of Computer Science and Technology, USTC, China. During 2016/06 to 2017/02, he was an Associate Researcher at School of Computer Science and Technology, USTC, China.?During 2017/03 to 2021/01, he was a Research Assistant/Associate Professor at Department of Computer Science and Engineering, SUSTech, China.
In 2014, Bo Yuan received the President Award of Chinese Academy of Sciences (中国科学院院长奖). Since 2017, he has been recoginized as Overseas High-Caliber Personnel (Peacock Plan Level C) in Shenzhen (深圳市海外高层次人才“孔雀计划”).
His research interests are computational intelligence, combinatorial optimization, neuromorphic computing and electronic design automation. He is a memebr of IEEE (C, CAS, CI, SMC, EDA, NANO), ACM, CCF, and CIE.
Professional Activities:
Bo Yuan is the reviewer of
IEEE Access (IEEE)
IEEE Transactions on Circuits and Systems II: Express Briefs (IEEE)
IEEE Transactions on Computers (IEEE)
IEEE Transactions on Cybernetics (IEEE)
IEEE Transactions on Emerging Topics in Computing (IEEE)
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE)
IEEE Transactions on Evolutionary Computation (IEEE)
IEEE Transactions on Neural Networks and Learning Systems (IEEE)
IEEE Transactions on Vehicular Technology (IEEE)
IEEE Transactions on Very Large Scale Integration (VLSI) Systems (IEEE)
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (IEEE)
ACM Transactions on Design Automation of Electronic Systems?(ACM)
Applied Soft Computing (Elsevier)
Complex & Intelligent Systems (Springer)
Computers & Electrical Engineering (Elsevier)
Circuits, Systems & Signal Processing (Springer)
Engineering Applications of Artificial Intelligence (Elsevier)
European Journal of Operational Research (Elsevier)
Frontiers of Information Technology & Electronic Engineering (Springer)
Future Generation Computer Systems (Elsevier)
Neural Computing & Applications (Springer)
Swarm and Evolutionary Computation (Elsevier)
Journal of Computer Science and Technology (Springer)
Journal of Software (in Chinese), etc.

个人简介

研究领域Computational Intelligence
Combinatorial Optimization
Neuromorphic Computing
Electronic Design Automation

---

教学CSE5002 Intelligent Data Analysis (研究生)
CS303 Artificial Intelligence (本科生)

---

学术成果 查看更多Publications (for the source codes, please feel free to contact me):
Journal Papers:
Chen Jiang, Bo Yuan (Corresponding author), Tsung-Yi Ho, and Xin Yao, Placement of Digital Microfluidic Biochips via a New Evolutionary Algorithm,?ACM Transactions on Design Automation of Electronic Systems, accepted, Apr. 2021.

Bo Yuan, Xiaofen?Lu, Ke Tang, and Xin Yao,?Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping,?ACM Transactions on Embedded Computing Systems, vol. 20, no. 3, article 21,?25 pages, Mar. 2021.
Wei Wang, Gangqiang Hu, Bo Yuan, Shandong Ye, Chao Chen, Yayun Cui, Xi Zhang, and Liting Qian, Prior-knowledge-driven Local Causal Structure Learning and Its Application on Causal Discovery between Type 2 Diabetes and Bone Mineral Density, IEEE Access, vol. 8, pp. 108798-108810, May 2020.
Bo Yuan, Huanhuan Chen, and Xin Yao, Toward Efficient Design Space Exploration for Fault-tolerant Multiprocessor Systems, IEEE Transactions on Evolutionary Computation, vol. 24, no. 1, pp. 157-169,?Feb. 2020.
Bo Yuan, Bin Li, Huanhuan Chen, Zhigang Zeng, and Xin Yao, Multi-Objective Redundancy Hardening with Optimal Task Mapping for Independent Tasks on Multi-Cores,?Soft Computing, vol. 24, no. 2, pp. 981-995, Jan. 2020.
Qi Xu, Song Chen, Hao Geng, Bo Yuan, Bei Yu, Feng Wu, and Zhengfeng Huang,?Fault Tolerance in Memristive Crossbar-Based Neuromorphic Computing Systems,?Integration, vol. 70, pp. 70-79, Jan. 2020.
Nguyen Thi Tam, Binh Huynh Thi Thanh, Dinh Anh Dung, Phan Ngoc Lan, Le Trong Vinh, Bo Yuan, and Xin Yao, A Hybrid Clustering and Evolutionary Approach for Wireless Underground Sensor Network Lifetime Maximization, Information Sciences, vol. 509, pp. 372-393,?Dec. 2019.
Xin Tong, Bo Yuan, and Bin Li, Model Complex Control CMA-ES, Swarm and Evolutionary Computation, vol. 50, article 100558, 16 pages, Nov. 2019.
Zhichen Gong, Huanhuan Chen, Bo Yuan, and Xin Yao, Multiobjective Learning in the Model Space for Time Series Classification, IEEE Transactions on Cybernetics, vol. 49, no. 3, pp. 918-932, Mar. 2019.
Bingbing Jiang, Huanhuan Chen, Bo Yuan, and Xin Yao, Scalable Graph-Based Semi-Supervised Learning Through Sparse Bayesian Model, IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 12, pp. 2758-2771, Dec. 2017.
Bo Yuan, Huanhuan Chen, and Xin Yao, Optimal Relay Placement for Lifetime Maximization in Wireless Underground Sensor Networks, Information Sciences, vol. 418-419, pp. 463-479, Dec. 2017.
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, vol. 24, no. 9, pp. 2813-2826, Sept. 2016.
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.
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.
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.
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.
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.
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.
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.
Conference Papers:
Junpeng Wang, Qi Xu, Bo Yuan, Song Chen, Bei Yu, and Feng Wu, Reliability-Driven Neural Network Training for Memristive Crossbar-Based Neuromorphic Computing Systems, IEEE International Symposium on Circuits and Systems, Oct.?2020.
Guoji Fu, Bo Yuan, Qiqi Duan, and Xin Yao, Representation Learning for Heterogeneous Information Networks via Embedding Events, International Conference on Neural Information Processing, pp. 327-339, Dec. 2019.
Changwu Huang, Bo Yuan, Yuanxiang Li, and Xin Yao, Automatic Parameter Tuning using Bayesian Optimization Method, IEEE Congress on Evolutionary Computation, pp. 2090-2097, Jun. 2019.
Er Zhuo, Yunjie Deng, Zhewei Su, Peng Yang, Bo Yuan, and Xin Yao, An Experimental Study of Large-scale Capacitated Vehicle Routing Problems, IEEE Congress on Evolutionary Computation, pp. 1195-1202, Jun. 2019.
Yunzhou Zhang, Bo Yuan, and Ke Tang, Enhanced Pairwise Learning for Personalized Ranking from Implicit Feedback, International Conference on Bio-inspired Computing: Theories and Applications, pp. 580-595, Dec. 2017.
Fugui Zhong, Bo Yuan, and Bin Li, Circuit Tolerance Design by Differential Evolution with Hybrid Analysis Method, International Conference on Advanced Computational Intelligence, pp. 74-78, Feb. 2016.
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, Genetic and Evolutionary Computation Conference, pp. 97-98, Jul. 2014.
Bo Yuan and Bin Li, A Low Time Complexity Defect-Tolerance Algorithm for Nanoelectronic Crossbar,?International Conference on Information Science and Technology, pp. 143-148, Mar. 2011.
Bo Yuan and Bin Li, Diversity Mapping Scheme for Defect and Fault Tolerance in Nanoelectronic Crossbar, International Conference on Information Science and Technology, pp. 149-154, Mar. 2011.
Yi Yang, Bo Yuan, and Bin Li, Defect and Variation Tolerance Logic Mapping for Crossbar Nanoarchitectures as a Multi-Objective Problem, International Conference on Information Science and Technology, pp. 1139-1142, Mar. 2011.
Research Grants (Principal Investigator):
2020/01-2023/12, National Natural Science Foundation of China (国家自然科学基金面上项目), No. **
2019/04-2022/03, Shenzhen Basic Research Program (深圳市基础研究学科布局项目), No. JCYJ20**2917
2018/04-2020/03, Shenzhen Basic Research Program (深圳市基础研究自由探索项目), No. JCYJ20**1757
2017/07-2019/06, Shenzhen Basic Research Program (深圳市基础研究自由探索项目), No. JCYJ20**1943
2016/01-2018/12, National Natural Science Foundation of China (国家自然科学基金青年科学基金项目), No. **
2015/07-2016/05, China Postdoctoral Science Foundation (中国博士后科学基金特别资助项目), No. 2015T80666
2014/09-2016/05, China Postdoctoral Science Foundation (中国博士后科学基金一等面上资助项目), No. 2014M560520
Research Grants (Participant):
2020/01-2022/12, Guangdong Key Laboratory (广东省类脑智能计算重点实验室), No. 2020B
2018/09-2023/08, Guangdong Innovative and Entrepreneurial Teams (广东省引进创新创业团队), No. 2017ZT07X386
2017/11-2022/10, Shenzhen Peacock Plan (深圳市孔雀团队), No. KQTD20**531
2018/01-2020/12, National Natural Science Foundation of China (国家自然科学基金中德合作项目), No.
2017/07-2020/06, National Key Research and Development Program (国家重点研发计划子课题), No. 2017YFC**
2017/07-2019/06, Shenzhen Key Laboratory (深圳市计算智能重点实验室), No. ZDSYS20**84
2016/07-2020/12, National Key Research and Development Program (国家重点研发计划子课题), No. 2016YFB**
2016/01-2020/12, National Natural Science Foundation of China (国家自然科学基金重点国际合作项目), No.
……



新闻动态 更多新闻
Academic Seminar (Dr. Qi Xu)2018-11-28

Academic Seminar (Prof. Tsung-Yi Ho)2018-08-16

Academic Seminar (Prof. He Cai)2018-05-31

团队成员 查看更多












加入团队 Array
I am always looking for motivated graduate students or research assistants or postdoctoral fellows with background in computer science or electronic engineering.
课题组常年招收博士后、研究助理、博士生、硕士生、访问****/学生。待遇从优。

查看更多