Bo Yuan
Orcid: 0000-0003-2169-0007Affiliations:
- University of Queensland, School of Information Technology & Electrical Engineering, Brisbane, Australia
- Qianyuan Institute of Sciences, Hangzhou, China
- Tsinghua University, Graduate School at Shenzhen, Division of Informatics, Intelligent Computing Laboratory, China
According to our database1,
Bo Yuan
authored at least 123 papers
between 2003 and 2025.
Collaborative distances:
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Bibliography
2025
Neural Networks, 2025
2024
Appl. Intell., December, 2024
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Efficient Federated Learning With Enhanced Privacy via Lottery Ticket Pruning in Edge Computing.
IEEE Trans. Mob. Comput., October, 2024
Mach. Intell. Res., June, 2024
CoRR, 2024
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024
STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Confidence set-based analysis of minimal detectable fault under hybrid Gaussian and bounded uncertainties.
Autom., September, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
IEEE Trans. Knowl. Data Eng., April, 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.
CoRR, 2023
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Anti-Windup Robust Backstepping Control for an Underactuated Reusable Launch Vehicle.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Inf. Sci., 2022
CoRR, 2022
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving.
CoRR, 2022
Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism.
CoRR, 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
D<sup>2</sup>Animator: Dual Distillation of StyleGAN For High-Resolution Face Animation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
IEEE Signal Process. Lett., 2021
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Circuits Syst. Video Technol., 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
IEEE Trans. Biom. Behav. Identity Sci., 2019
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., 2019
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
Sequence-Aware Recommendation with Long-Term and Short-Term Attention Memory Networks.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2018
Mixed Active/Passive Robust Fault Detection and Isolation Using Set-Theoretic Unknown Input Observers.
IEEE Trans Autom. Sci. Eng., 2018
Int. J. Data Sci. Anal., 2018
Density-Based Multiscale Analysis for Clustering in Strong Noise Settings With Varying Densities.
IEEE Access, 2018
Statics of Continuum Space Manipulators With Nonconstant Curvature via Pseudorigid-Body 3R Model.
IEEE Access, 2018
Towards a Compact and Effective Representation for Datasets with Inhomogeneous Clusters.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Pattern Recognit. Lett., 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017
Proceedings of the Artificial Life and Computational Intelligence, 2017
2016
Community structure analysis using label propagation and flow-based ensemble learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
Proceedings of the Intelligent Computing Theories and Application, 2016
Analysis of set-theoretic unknown input observer and interval observer in robust fault detection.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
A novel design of unknown input observers using set-theoretic methods for robust fault detection.
Proceedings of the 2016 American Control Conference, 2016
2015
Neurocomputing, 2015
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Proceedings of the Web-Age Information Management - 15th International Conference, 2014
Proceedings of the International Conference on Smart Computing, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
2013
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the Sixth International Conference on Machine Vision, 2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
IEEE Trans. Signal Process., 2012
IEEE Trans. Neural Networks Learn. Syst., 2012
Pattern Recognit. Lett., 2012
Measure oriented training: a targeted approach to imbalanced classification problems.
Frontiers Comput. Sci., 2012
Proceedings of the 20th IEEE International Workshop on Quality of Service, 2012
Improving the throughput and delay performance of network processors by applying push model.
Proceedings of the 20th IEEE International Workshop on Quality of Service, 2012
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012
Proceedings of the 15th International Conference on Extending Database Technology, 2012
Proceedings of the Semantic Web and Web Science, 2012
Proceedings of the Semantic Web and Web Science, 2012
2011
Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent.
IEEE Trans. Image Process., 2011
Proceedings of the New Frontiers in Applied Data Mining, 2011
Finding the most accessible locations: reverse path nearest neighbor query in road networks.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011
2010
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010
Proceedings of the Global Communications Conference, 2010
2009
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009
An improved small-sample statistical test for comparing the success rates of evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Convergence analysis of UMDA<sub>C</sub> with finite populations: a case study on flat landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
2008
Extending a class of continuous estimation of distribution algorithms to dynamic problems.
Optim. Lett., 2008
Proceedings of the Advances in Neural Networks, 2008
2007
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007
IEEE Trans. Knowl. Data Eng., 2007
Finding the Optimal Path in 3D Spaces Using EDAs - The Wireless Sensor Networks Scenario.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
2006
A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Proceedings of the Business Intelligence for the Real-Time Enterprises, 2006
2005
MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2004
2003
On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Playing in continuous spaces: some analysis and extension of population-based incremental learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003