Assistant Professor Department of Computer Science and Engineering
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 member of IEEE (C, CAS, CI, SMC, EDA, NANO), ACM, CCF, CAAI, and CIE.
Personal Profile
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 2017/02 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, reinforcement Learning, 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 Computer-Aided Design of Integrated Circuits and Systems (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)
Expert Systems with Applications (Elsevier)
Frontiers of Information Technology & Electronic Engineering (Springer)
Future Generation Computer Systems (Elsevier)
Neural Computing & Applications (Springer)
Neural Networks (Elsevier)
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.
Research
Computational Intelligence
Reinforcement Learning
Electronic Design Automation
Teaching
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)
Publications Read More
Journal Papers:
Haoran Gu, Handing Wang, Cheng He, Bo Yuan, and Yaochu Jin, Large-Scale Multiobjective Evolutionary Algorithm Guided by Low-Dimensional Surrogates of Scalarization Functions, Evolutionary Computation, 2024
Songling Zhu, Ronghua Shang, Bo Yuan, Weitong Zhang, Wenjie Li, Yangyang Li, and Licheng Jiao, DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing, Pattern Recognition, vol. 153, article 110545, 15 pages, Sept. 2024.
Bo Yuan, Shenhao Gui, Qingquan Zhang, Ziqi Wang, Junyi Wen, Bifei Mao, Jialin Liu, and Xin Yao, FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning, IEEE Computational Intelligence Magazine, vol. 19, no. 2, pp. 129-141, May 2024.
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 Multiagent 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:
Qinan Chen, Qiqi Xia, Kaixuan Sun, Jin Wang, and Bo Yuan*, Memetic Algorithm for Multi-objective Virtual Network Slice Configuration, Genetic and Evolutionary Computation Conference (GECCO’24), pp. 1-4, July 2024.
Zixin Zhong, Liyan Song, Fengzhen Tang, and Bo Yuan, Addressing Intermediate Verification Latency in Online Learning Through Immediate Pseudo-labeling and Oriented Synthetic Correction, International Joint Conference on Neural Networks (IJCNN’24), pp. 1-10, June 2024.
Yiran Zhang, Guiying Li, and Bo Yuan*, Toward Efficient Co-Design of CNN Quantization and HW Architecture on FPGA Hybrid-Accelerator, International Symposium of EDA (ISEDA’24), pp. 1-6, May 2024.
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):
2025/01-2028/12, National Natural Science Foundation of China (国家自然科学基金面上项目), No. 62476119
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
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