Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBo Yuan 0003
Person information
- affiliation: Qianyuan Institute of Sciences, Hangzhou, China
- affiliation: Tsinghua University, Graduate School at Shenzhen, Division of Informatics, Intelligent Computing Laboratory, China
Other persons with the same name
- Bo Yuan — disambiguation page
- Bo Yuan 0001
![[0000-0002-3978-2930]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3978-2930")
— Rutgers University, NJ, USA (and 3 more) - Bo Yuan 0002 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China (and 1 more)
- Bo Yuan 0004 — Tongji University, MoE Key Laboratory of Embedded System and Service Computing, Shanghai, China (and 1 more)
- Bo Yuan 0005 — Rochester Institute of Technology, College of Computing and Information Science, NY, USA
- Bo Yuan 0006 — Southern University of Science and Technology, Shenzhen Key Laboratory of Computational Intelligence, China (and 1 more)
- Bo Yuan 0007 — Xidian University, School of Microelectronics, Key Lab of Ministry of Education for Wide Band-Gap Semiconductor Devices, Xi'an, China
- Bo Yuan 0008 — Tencent AI Lab, Shenzhen, China (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c72]Zhuo Chen, Haimei Zhao, Chaoyue Wang, Bo Yuan, Xiu Li:
Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract). AAAI 2024: 23458-23459- 2023
- [j27]Junbo Tan, Huailiang Zheng, Deshan Meng, Bo Yuan, Xueqian Wang, Bin Liang:
Confidence set-based analysis of minimal detectable fault under hybrid Gaussian and bounded uncertainties. Autom. 155: 111141 (2023) - [j26]Qian Zhang, Wenhui Liao, Guangquan Zhang, Bo Yuan, Jie Lu:
A Deep Dual Adversarial Network for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. 35(4): 3266-3278 (2023) - [j25]Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu:
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3859-3873 (2023) - [j24]Wenhui Liao, Qian Zhang, Bo Yuan, Guangquan Zhang, Jie Lu:
Heterogeneous Multidomain Recommender System Through Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8965-8977 (2023) - [j23]Tiantian Zhang, Xueqian Wang, Bin Liang, Bo Yuan:
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9925-9939 (2023) - [c71]Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao:
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks. AAAI 2023: 15313-15321 - [c70]Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao:
Improving the Model Consistency of Decentralized Federated Learning. ICML 2023: 31269-31291 - [i21]Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao:
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning. CoRR abs/2301.12203 (2023) - [i20]Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao:
Improving the Model Consistency of Decentralized Federated Learning. CoRR abs/2302.04083 (2023) - [i19]Tiantian Zhang, Kevin Z. Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye:
Replay-enhanced Continual Reinforcement Learning. CoRR abs/2311.11557 (2023) - 2022
- [j22]Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Xueqian Wang, Bin Liang, Bo Yuan:
A surrogate-assisted controller for expensive evolutionary reinforcement learning. Inf. Sci. 616: 539-557 (2022) - [j21]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Learning From a Complementary-Label Source Domain: Theory and Algorithms. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7667-7681 (2022) - [j20]Linqi Ye, Bailing Tian, Houde Liu, Qun Zong, Bin Liang, Bo Yuan:
Anti-Windup Robust Backstepping Control for an Underactuated Reusable Launch Vehicle. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1492-1502 (2022) - [c69]Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu:
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. IJCAI 2022: 3702-3708 - [c68]Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao:
Penalized Proximal Policy Optimization for Safe Reinforcement Learning. IJCAI 2022: 3744-3750 - [c67]Zhuo Chen, Chaoyue Wang, Haimei Zhao, Bo Yuan, Xiu Li:
D2Animator: Dual Distillation of StyleGAN For High-Resolution Face Animation. ACM Multimedia 2022: 1769-1778 - [c66]Xianzhuang Li, Zhen Wang, Xuesong Wu, Bo Yuan, Xueqian Wang:
Input Enhanced Logarithmic Factorization Network for CTR Prediction. PAKDD (3) 2022: 42-54 - [i18]Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Bin Liang, Xueqian Wang, Bo Yuan:
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning. CoRR abs/2201.00129 (2022) - [i17]Yunhui Zeng, Zijun Liao, Yuanzhi Dai, Rong Wang, Xiu Li, Bo Yuan:
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism. CoRR abs/2201.00548 (2022) - [i16]Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu:
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. CoRR abs/2202.09982 (2022) - [i15]Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Bo Yuan, Xueqian Wang, Dacheng Tao:
Penalized Proximal Policy Optimization for Safe Reinforcement Learning. CoRR abs/2205.11814 (2022) - [i14]Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang:
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving. CoRR abs/2206.08528 (2022) - [i13]Tiantian Zhang, Zichuan Lin, Yuxing Wang, Deheng Ye, Qiang Fu, Wei Yang, Xueqian Wang, Bin Liang, Bo Yuan, Xiu Li:
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. CoRR abs/2209.00347 (2022) - [i12]Haimei Zhao, Jing Zhang, Zhuo Chen, Bo Yuan, Dacheng Tao:
On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation. CoRR abs/2209.08747 (2022) - [i11]Guozheng Ma, Zhen Wang, Zhecheng Yuan, Xueqian Wang, Bo Yuan, Dacheng Tao:
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning. CoRR abs/2210.04561 (2022) - [i10]Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao:
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks. CoRR abs/2212.05727 (2022) - 2021
- [j19]Daochang Chen, Wenzheng Hu, Bo Yuan, Rui Zhang, Jianqiang Wang:
Next-Item Recommendation With Deep Adaptable Co-Embedding Neural Networks. IEEE Signal Process. Lett. 28: 1220-1224 (2021) - [c65]Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang:
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI 2021: 11079-11087 - [c64]Xianzhuang Li, Zhen Wang, Xuesong Wu, Bo Yuan, Xueqian Wang:
A Dual Adaptive Factorization Network for CTR Prediction. HPCC/DSS/SmartCity/DependSys 2021: 749-756 - [i9]Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang:
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? CoRR abs/2101.01104 (2021) - [i8]Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan:
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection. CoRR abs/2101.02908 (2021) - [i7]Tiantian Zhang, Xueqian Wang, Bin Liang, Bo Yuan:
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation. CoRR abs/2109.00525 (2021) - [i6]Yang Liu, Yongzhe Chang, Shilei Jiang, Xueqian Wang, Bin Liang, Bo Yuan:
Probability Density Estimation Based Imitation Learning. CoRR abs/2112.06746 (2021) - 2020
- [j18]Xiaojuan Cheng, Jiwen Lu, Bo Yuan, Jie Zhou:
Identity-Preserving Face Hallucination via Deep Reinforcement Learning. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4796-4809 (2020) - [c63]Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao:
Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos. IJCAI 2020: 488-494 - [c62]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. IJCAI 2020: 2526-2532 - [c61]Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan:
A Dual Input-aware Factorization Machine for CTR Prediction. IJCAI 2020: 3139-3145 - [c60]Linqi Ye, Houde Liu, Xueqian Wang, Bin Liang, Bo Yuan:
Multi-task Control for a Quadruped Robot with Changeable Leg Configuration. IROS 2020: 3944-3950 - [i5]Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu:
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. CoRR abs/2006.13022 (2020) - [i4]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. CoRR abs/2007.14612 (2020) - [i3]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Learning from a Complementary-label Source Domain: Theory and Algorithms. CoRR abs/2008.01454 (2020)
2010 – 2019
- 2019
- [j17]Feng Xu, Junbo Tan, Ye Wang, Xueqian Wang, Bin Liang, Bo Yuan:
Robust Fault Detection and Set-Theoretic UIO for Discrete-Time LPV Systems With State and Output Equations Scheduled by Inexact Scheduling Variables. IEEE Trans. Autom. Control. 64(12): 4982-4997 (2019) - [j16]Xiaojuan Cheng, Jiwen Lu, Bo Yuan, Jie Zhou:
Face Segmentor-Enhanced Deep Feature Learning for Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 1(4): 223-237 (2019) - [c59]Zhen Wang, Rui Zhang, Jianzhong Qi, Bo Yuan:
DBSVEC: Density-Based Clustering Using Support Vector Expansion. ICDE 2019: 280-291 - [c58]Jun Jiang, Houde Liu, Bo Yuan, Xueqian Wang, Bin Liang:
A New Concept of UAV Recovering System. ICIRA (3) 2019: 327-338 - [c57]Jun Jiang, Houde Liu, Bo Yuan, Lunfei Liang, Bin Liang:
Design and Integration of a Reconfiguration Robot. ICIRA (3) 2019: 339-350 - [c56]Yantao Yu, Zhen Wang, Bo Yuan:
An Input-aware Factorization Machine for Sparse Prediction. IJCAI 2019: 1466-1472 - [c55]Daochang Chen, Rui Zhang, Bo Yuan:
Sequence-Aware Recommendation with Long-Term and Short-Term Attention Memory Networks. MDM 2019: 437-442 - [c54]Linqi Ye, Houde Liu, Xueqian Wang, Bo Yuan, Bin Liang:
Task-oriented Hierarchical Control for a Quadruped Robot. ROBIO 2019: 2146-2151 - [i2]Li Zhong, Tiantian Zhang, Bo Yuan:
A Critical Note on the Evaluation of Clustering Algorithms. CoRR abs/1908.03782 (2019) - 2018
- [j15]Tian-Tian Zhang, Bo Yuan:
Density-Based Multiscale Analysis for Clustering in Strong Noise Settings With Varying Densities. IEEE Access 6: 25861-25873 (2018) - [j14]Shaoping Huang, Deshan Meng, Yu She, Xueqian Wang, Bin Liang, Bo Yuan:
Statics of Continuum Space Manipulators With Nonconstant Curvature via Pseudorigid-Body 3R Model. IEEE Access 6: 70854-70865 (2018) - [j13]Tao Meng, Bo Yuan:
Parallel edge-based visual assessment of cluster tendency on GPU. Int. J. Data Sci. Anal. 6(4): 287-295 (2018) - [j12]Qiuhui Tong, Xiu Li, Bo Yuan:
Efficient distributed clustering using boundary information. Neurocomputing 275: 2355-2366 (2018) - [j11]Xiaojuan Cheng, Jiwen Lu, Jianjiang Feng, Bo Yuan, Jie Zhou:
Scene recognition with objectness. Pattern Recognit. 74: 474-487 (2018) - [j10]Feng Xu, Junbo Tan, Xueqian Wang, Vicenç Puig, Bin Liang, Bo Yuan:
Mixed Active/Passive Robust Fault Detection and Isolation Using Set-Theoretic Unknown Input Observers. IEEE Trans Autom. Sci. Eng. 15(2): 863-871 (2018) - [c53]Haimei Zhao, Zhuo Chen, Qiuhui Tong, Bo Yuan:
Towards a Compact and Effective Representation for Datasets with Inhomogeneous Clusters. ICONIP (4) 2018: 157-169 - 2017
- [j9]Xuanbin Si, Jianjiang Feng, Bo Yuan, Jie Zhou:
Dense registration of fingerprints. Pattern Recognit. 63: 87-101 (2017) - [j8]Qiuhui Tong, Xiu Li, Bo Yuan:
A highly scalable clustering scheme using boundary information. Pattern Recognit. Lett. 89: 1-7 (2017) - [c52]Bo Yuan, Tiantian Zhang:
Towards Solving TSPN with Arbitrary Neighborhoods: A Hybrid Solution. ACALCI 2017: 204-215 - [c51]Tiantian Zhang, Bo Yuan:
Density-Based Multiscale Analysis for Clustering in Strong Noise Settings. Australasian Conference on Artificial Intelligence 2017: 27-38 - [c50]Tao Meng, Bo Yuan:
Parallel Visual Assessment of Cluster Tendency on GPU. PAKDD (2) 2017: 429-440 - [c49]Yuanlong Qin, Bo Yuan:
ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods. SEAL 2017: 87-96 - 2016
- [c48]Feng Xu, Junbo Tan, Xueqian Wang, Vicenç Puig, Bin Liang, Bo Yuan:
A novel design of unknown input observers using set-theoretic methods for robust fault detection. ACC 2016: 5957-5961 - [c47]Feng Xu, Junbo Tan, Xueqian Wang, Vicenç Puig, Bin Liang, Bo Yuan, Houde Liu:
Analysis of set-theoretic unknown input observer and interval observer in robust fault detection. CDC 2016: 1291-1296 - [c46]Yuxin Zhang, Bo Yuan:
Supervised Online Dictionary Learning for Image Separation Using OMP. ICIC (2) 2016: 557-568 - [c45]Tiantian Zhang, Bo Yuan:
Visualizing MOOC User Behaviors: A Case Study on XuetangX. IDEAL 2016: 89-98 - [c44]Tiantian Zhang, Bo Yuan, Tao Meng, Yinghao Ren, Houde Liu, Xueqian Wang:
Ubiquitous Robot: A New Paradigm for Intelligence. IDEAL 2016: 202-211 - [c43]Yunchang He, Jian Xu, Bo Yuan:
Community structure analysis using label propagation and flow-based ensemble learning. IJCNN 2016: 720-726 - 2015
- [j7]Liantao Wang, Xuelei Hu, Bo Yuan, Jianfeng Lu:
Active learning via query synthesis and nearest neighbour search. Neurocomputing 147: 426-434 (2015) - [c42]Pengtao Huang, Xiu Li, Bo Yuan:
A Parallel GPU-Based Approach to Clustering Very Fast Data Streams. CIKM 2015: 23-32 - [c41]Pengtao Huang, Bo Yuan:
Mining Massive-Scale Spatiotemporal Trajectories in Parallel: A Survey. PAKDD Workshops 2015: 41-52 - 2014
- [c40]Fei Wang, Bo Yuan:
Parallel Frequent Pattern Mining without Candidate Generation on GPUs. ICDM Workshops 2014: 1046-1052 - [c39]Zhibo Yang, Yanmin Zhu, Bo Yuan:
Effective Palm Tracking with Integrated Tracker and Offline Detector. ICIC (2) 2014: 318-327 - [c38]Chunyang Wang, Bo Yuan:
Robust Fingertip Tracking with Improved Kalman Filter. ICIC (1) 2014: 619-629 - [c37]Shiquan Yang, Jianqiang Dong, Bo Yuan:
An efficient parallel ISODATA algorithm based on Kepler GPUs. IJCNN 2014: 2444-2449 - [c36]Yanmin Zhu, Bo Yuan:
Real-time hand gesture recognition with Kinect for playing racing video games. IJCNN 2014: 3240-3246 - [c35]Qiuhui Tong, Bo Yuan, Xiu Li:
Cyberinfrastructure: Applications and challenges. SMARTCOMP 2014: 74-80 - [c34]Zhifei Zhang, Duoqian Miao, Bo Yuan:
Context-Dependent Sentiment Classification Using Antonym Pairs and Double Expansion. WAIM 2014: 711-722 - 2013
- [c33]Qing Xie, Shuo Shang, Bo Yuan, Chaoyi Pang, Xiangliang Zhang:
Local correlation detection with linearity enhancement in streaming data. CIKM 2013: 309-318 - [c32]Bo Yuan, Xiangqing He, Ying Liu:
Corpus analysis and automatic detection of emotion-including keywords. ICMV 2013: 90672G - [c31]Zhibo Yang, Bo Yuan:
Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering. IDEAL 2013: 58-66 - [c30]Fei Wang, Jianqiang Dong, Bo Yuan:
Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism. IDEAL 2013: 342-349 - [c29]Jianqiang Dong, Fei Wang, Bo Yuan:
Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism. IDEAL 2013: 409-416 - 2012
- [j6]Bo Yuan, Wenhuang Liu:
Measure oriented training: a targeted approach to imbalanced classification problems. Frontiers Comput. Sci. 6(5): 489-497 (2012) - [j5]Shuo Shang, Bo Yuan, Ke Deng, Kexin Xie, Kai Zheng, Xiaofang Zhou:
PNN query processing on compressed trajectories. GeoInformatica 16(3): 467-496 (2012) - [j4]Q. Tu, Jianfeng Lu, Bo Yuan, J. B. Tang, Jing-Yu Yang:
Density-based hierarchical clustering for streaming data. Pattern Recognit. Lett. 33(5): 641-645 (2012) - [c28]Xiaoli Ma, Bo Yuan:
Enhancing Software Search with Semantic Information from Wikipedia. CSWS 2012: 1-9 - [c27]Hequn Liu, Bo Yuan, Cheng Li:
Music Recommendation Based on Label Correlation. CSWS 2012: 143-152 - [c26]Shuo Shang, Ruogu Ding, Bo Yuan, Kexin Xie, Kai Zheng, Panos Kalnis:
User oriented trajectory search for trip recommendation. EDBT 2012: 156-167 - [c25]Ze Huang, Bo Yuan:
Mining Google Scholar Citations: An Exploratory Study. ICIC (1) 2012: 182-189 - [c24]Xuelei Hu, Liantao Wang, Bo Yuan:
Querying representative points from a pool based on synthesized queries. IJCNN 2012: 1-6 - [c23]Bo Yuan, Xiaoli Ma:
Sampling + reweighting: Boosting the performance of AdaBoost on imbalanced datasets. IJCNN 2012: 1-6 - [c22]Ze Huang, Bo Yuan, Xuelei Hu:
Understanding the Top Grass Roots in Sina-Weibo. IScIDE 2012: 17-24 - [c21]Bin Liu, Bo Yuan, Huichen Dai, Hongbo Zhao, Jia Yu, Laxmi N. Bhuyan:
Improving the throughput and delay performance of network processors by applying push model. IWQoS 2012: 1-4 - [c20]Tong Yang, Bo Yuan, Shenjiang Zhang, Ting Zhang, Ruian Duan, Yi Wang, Bin Liu:
Approaching optimal compression with fast update for large scale routing tables. IWQoS 2012: 1-9 - 2011
- [c19]Shuo Shang, Bo Yuan, Ke Deng, Kexin Xie, Xiaofang Zhou:
Finding the most accessible locations: reverse path nearest neighbor query in road networks. GIS 2011: 181-190 - [c18]Bo Yuan, Wenhuang Liu:
A Measure Oriented Training Scheme for Imbalanced Classification Problems. PAKDD Workshops 2011: 293-303 - 2010
- [c17]Bo Yuan, Hongbo Zhao, Chengchen Hu, Bin Liu, Jia Yu, Laxmi N. Bhuyan:
Experience on Applying Push Model to Packet Processors in High Performance Routers. GLOBECOM 2010: 1-5 - [c16]Bo Yuan, Cheng Li, Wei Chen:
Training a Pac-Man Player with Minimum Domain Knowledge and Basic Rationality. ICIC (3) 2010: 169-177
2000 – 2009
- 2009
- [c15]Xinzhu Yang, Bo Yuan, Wenhuang Liu:
The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes. FSKD (1) 2009: 320-324 - [c14]Bo Yuan, Marcus Gallagher:
Convergence analysis of UMDAC with finite populations: a case study on flat landscapes. GECCO 2009: 477-482 - [c13]Bo Yuan, Marcus Gallagher:
An improved small-sample statistical test for comparing the success rates of evolutionary algorithms. GECCO 2009: 1879-1880 - [c12]Xinzhu Yang, Bo Yuan, Wenhuang Liu:
An Empirical Study of the Convergence of RegionBoost. ICIC (2) 2009: 527-535 - 2008
- [j3]Bo Yuan, Maria E. Orlowska, Shazia Wasim Sadiq:
Extending a class of continuous estimation of distribution algorithms to dynamic problems. Optim. Lett. 2(3): 433-443 (2008) - [c11]Bohan Liu, Bo Yuan, Wenhuang Liu:
Classification and Dimension Reduction in Bank Credit Scoring System. ISNN (1) 2008: 531-538 - 2007
- [j2]Bo Yuan, Maria E. Orlowska, Shazia Wasim Sadiq:
On the Optimal Robot Routing Problem in Wireless Sensor Networks. IEEE Trans. Knowl. Data Eng. 19(9): 1252-1261 (2007) - [c10]Bo Yuan, Maria E. Orlowska, Shazia Wasim Sadiq:
Finding the Optimal Path in 3D Spaces Using EDAs - The Wireless Sensor Networks Scenario. ICANNGA (1) 2007: 536-545 - [p1]Bo Yuan, Marcus Gallagher:
Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks. Parameter Setting in Evolutionary Algorithms 2007: 121-142 - 2006
- [j1]Marcus Gallagher, Bo Yuan:
A general-purpose tunable landscape generator. IEEE Trans. Evol. Comput. 10(5): 590-603 (2006) - [c9]Bo Yuan, Maria E. Orlowska, Shazia W. Sadiq:
Real-Time Acquisition of Buyer Behaviour Data - The Smart Shop Floor Scenario. BIRTE 2006: 106-117 - [c8]Bo Yuan, Marcus Gallagher:
A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA. IEEE Congress on Evolutionary Computation 2006: 1585-1591 - [i1]Marcus Gallagher, Bo Yuan:
A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA. Theory of Evolutionary Algorithms 2006 - 2005
- [c7]Bo Yuan, Marcus Gallagher:
A hybrid approach to parameter tuning in genetic algorithms. Congress on Evolutionary Computation 2005: 1096-1103 - [c6]Bo Yuan, Marcus Gallagher:
Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA. Congress on Evolutionary Computation 2005: 1792-1799 - [c5]Bo Yuan, Marcus Gallagher:
On the importance of diversity maintenance in estimation of distribution algorithms. GECCO 2005: 719-726 - [c4]Bo Yuan, Marcus Gallagher, Stuart Crozier:
MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies. GECCO 2005: 2141-2148 - 2004
- [c3]Bo Yuan, Marcus Gallagher:
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms. PPSN 2004: 172-181 - 2003
- [c2]Bo Yuan, Marcus Gallagher:
Playing in continuous spaces: some analysis and extension of population-based incremental learning. IEEE Congress on Evolutionary Computation 2003: 443-450 - [c1]Bo Yuan, Marcus Gallagher:
On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generator. IEEE Congress on Evolutionary Computation 2003: 451-458
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-22 22:41 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
