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教师主页 团队成员 科研项目 研究领域 学术成果 教学 科研分享 新闻动态 疼痛医学中心 成果介绍 软件 毕业去向 加入我们 联系我们 袁博 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，访问学者 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 recognized 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 member of IEEE (C, CAS, CI, SMC, EDA, NANO), ACM, CCF, CAAI, 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 Computing Surveys (ACM) 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 Artificial Intelligence Research (AI Access Foundation) 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) CSE5019 Reinforcement Learning (研究生) CS303 Artificial Intelligence (本科生) CS311 Artificial Intelligence H (本科生) 学术成果 查看更多 Journal Papers: Tuo Zhang, Handing Wang, Bo Yuan, Yaochu Jin, and Xin Yao, Surrogate-Assisted Evolutionary Q-Learning for Black-Box Dynamic Time-Linkage Optimization Problems, IEEE Transactions on Evolutionary Computation, vol. 27, no. 5, pp. 1162-1176, Oct. 2023. Chen Jiang, Rongquan Yang, Qi Xu, Hailong Yao, Tsung-Yi Ho, and Bo Yuan*, A Cooperative Multi-agent Reinforcement Learning Framework for Droplet Routing in Digital Microfluidic Biochips, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 9, pp. 3007-3020, Sep. 2023. Xiwen Cai, Gan Ruan, Bo Yuan*, and Liang Gao, Complementary Surrogate-assisted Differential Evolution Algorithm for Expensive Multi-objective Problems under a Limited Computational Budget, Information Sciences, vol. 632, pp. 791–814, Mar. 2023. Zaihe Cheng, Wei Fang, Wei Shen, Jerry Chun-Wei Lin, and Bo Yuan, An Efficient Utility-list based High-utility Itemset Mining Algorithm, Applied Intelligence, vol. 53, pp. 6992–7006, Mar. 2023. Wei Fang, Weijian Zhang, Li Ma, Yunlin Wu, Kefei Yan, Hengyang Lu, Jun Sun, Xiaojun Wu, and Bo Yuan, An Efficient Bayesian Network Structure Learning Algorithm Based on Structural Information, Swarm and Evolutionary Computation, vol. 76, article 101224, 12 pages, Feb. 2023. Qi Xu, Junpeng Wang, Bo Yuan, Qi Sun, Song Chen, Bei Yu, Yi Kang, and Feng Wu, Reliability-Driven Memristive Crossbar Design in Neuromorphic Computing Systems, IEEE Transactions on Automation Science and Engineering, vol. 20, no. 1, pp. 74-87, Jan. 2023. Qi Xu, Hao Geng, Song Chen, Bo Yuan, Cheng Zhuo, Yi Kang, and Xiaoqing Wen, GoodFloorplan: Graph Convolutional Network and Reinforcement Learning Based Floorplanning, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 10, pp. 3492-3502, Oct. 2022. Nan Zheng, Handing Wang*, and Bo Yuan*, An Adaptive Model Switch-based Surrogate-Assisted Evolutionary Algorithm for Noisy Expensive Multi-Objective Optimization, Complex & Intelligent Systems, vol. 8, pp. 4339-4356, Oct. 2022. Chen Jiang, Rongquan Yang, and Bo Yuan*, An Evolutionary Algorithm with Indirect Representation for Droplet Routing in Digital Microfluidic Biochips, Engineering Applications of Artificial Intelligence, vol. 115, article 105305, 14 pages, Oct. 2022.  Kai Fu, Xiwen Cai, Bo Yuan*, Yang Yang, and Xin Yao, An Efficient Surrogate Assisted Particle Swarm Optimization for Antenna Synthesis, IEEE Transactions on Antennas and Propagation, vol. 70, no. 7, pp. 4977-4984, July 2022. Chen Jiang, Bo Yuan*, Tsung-Yi Ho, and Xin Yao, Placement of Digital Microfluidic Biochips via a New Evolutionary Algorithm, ACM Transactions on Design Automation of Electronic Systems, vol. 26, no. 6, article 42, 22 pages, Jun. 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: Jiaxuan Wang, Zheng Tan, and Bo Yuan*, Quad-Criteria Task Scheduling in Multicores Based on NSGAIII, International Conference on Swarm Intelligence (ICSI’23), pp. 1-13, July 2023. Shenhao Gui, Qingquan Zhang, Changwu Huang, and Bo Yuan*, Fairer Machine Learning Through the Hybrid of Multi-Objective Evolutionary Learning and Adversarial Learning, International Joint Conference on Neural Networks (IJCNN’23), pp. 1-8, June 2023. Yang Xiao, Qi Xu, and Bo Yuan*, Tolerating Device-To-Device Variation for Memristive Crossbar-Based Neuromorphic Computing Systems: A New Bayesian Perspective, International Joint Conference on Neural Networks (IJCNN’23), pp. 1-7, June 2023. Biao Liu, Xiaoyu Wu, and Bo Yuan*, ICEL: Learning with Inconsistent Explanations, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’23), pp. 1-5, June 2023. Chao Pan, Bo Yuan, Wei Zhou, and Xin Yao, Towards Robust Uncertainty Estimation in the Presence of Noisy Labels, International Conference on Artificial Neural Networks (ICANN’22), pp. 673-684, Sept. 2022. 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 (ISCAS’20), pp. 1-4, 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 (ICONIP’19), 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 (CEC’19), 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 (CEC’19), 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 (BIC-TA’17), 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 (ICACI’16), 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 (GECCO’14), 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 (ICIST’11), 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 (ICIST’11), 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 (ICIST’11), pp. 1139-1142, Mar. 2011. Research Grants (Principal Investigator): 2022/11-2023/10, Huawei Technologies Co Ltd (华为技术有限公司横向项目) 2020/01-2023/12, National Natural Science Foundation of China (国家自然科学基金面上项目), No. 61976111 2019/04-2022/03, Shenzhen Basic Research Program (深圳市基础研究学科布局项目), No. JCYJ20180504165652917 2018/04-2020/03, Shenzhen Basic Research Program (深圳市基础研究自由探索项目), No. JCYJ20170817112421757 2017/07-2019/06, Shenzhen Basic Research Program (深圳市基础研究自由探索项目), No. JCYJ20170307105521943 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. 61503357 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):  2023/01-2025/12, National Natural Science Foundation of China (国家自然科学基金外国资深学者研究基金团队项目), No. 62250710682 2020/01-2022/12, Guangdong Key Laboratory (广东省类脑智能计算重点实验室), No. 2020B121201001 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. KQTD2016112514355531 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. 617611360 2017/07-2020/06, National Key Research and Development Program (国家重点研发计划子课题), No. 2017YFC0804003 2017/07-2019/06, Shenzhen Key Laboratory (深圳市计算智能重点实验室), No. ZDSYS201703031748284 2016/07-2020/12, National Key Research and Development Program (国家重点研发计划子课题), No. 2016YFB1000905 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. 71520107002 …… 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 PrevNext UpDown 加入团队 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、访问学者/学生。待遇从优。 查看更多 联系我们 联系地址 Room 408, College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, China 办公电话 Email me first, please 电子邮箱 yuanb@sustech.edu.cn