Bo Yuan

Orcid: 0000-0003-2169-0007

Affiliations:
  • 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 110 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

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

Heterogeneous Multidomain Recommender System Through Adversarial Learning.
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

Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

A Deep Dual Adversarial Network for Cross-Domain Recommendation.
IEEE Trans. Knowl. Data Eng., April, 2023

Replay-enhanced Continual Reinforcement Learning.
CoRR, 2023

SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.
CoRR, 2023

Improving the Model Consistency of Decentralized Federated Learning.
Proceedings of the International Conference on Machine Learning, 2023

Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks.
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

Learning From a Complementary-Label Source Domain: Theory and Algorithms.
IEEE Trans. Neural Networks Learn. Syst., 2022

A surrogate-assisted controller for expensive evolutionary reinforcement learning.
Inf. Sci., 2022

A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning.
CoRR, 2022

On Robust Cross-View Consistency in Self-Supervised Monocular Depth Estimation.
CoRR, 2022

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization.
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

Input Enhanced Logarithmic Factorization Network for CTR Prediction.
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

Penalized Proximal Policy Optimization for Safe Reinforcement Learning.
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
Next-Item Recommendation With Deep Adaptable Co-Embedding Neural Networks.
IEEE Signal Process. Lett., 2021

Probability Density Estimation Based Imitation Learning.
CoRR, 2021

NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection.
CoRR, 2021

A Dual Adaptive Factorization Network for CTR Prediction.
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
Identity-Preserving Face Hallucination via Deep Reinforcement Learning.
IEEE Trans. Circuits Syst. Video Technol., 2020

Multi-task Control for a Quadruped Robot with Changeable Leg Configuration.
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

A Dual Input-aware Factorization Machine for CTR Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Face Segmentor-Enhanced Deep Feature Learning for Face Recognition.
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

A Critical Note on the Evaluation of Clustering Algorithms.
CoRR, 2019

Task-oriented Hierarchical Control for a Quadruped Robot.
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

An Input-aware Factorization Machine for Sparse Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A New Concept of UAV Recovering System.
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

Design and Integration of a Reconfiguration Robot.
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

DBSVEC: Density-Based Clustering Using Support Vector Expansion.
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

Scene recognition with objectness.
Pattern Recognit., 2018

Efficient distributed clustering using boundary information.
Neurocomputing, 2018

Parallel edge-based visual assessment of cluster tendency on GPU.
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
A highly scalable clustering scheme using boundary information.
Pattern Recognit. Lett., 2017

Dense registration of fingerprints.
Pattern Recognit., 2017

ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Parallel Visual Assessment of Cluster Tendency on GPU.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Density-Based Multiscale Analysis for Clustering in Strong Noise Settings.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

Towards Solving TSPN with Arbitrary Neighborhoods: A Hybrid Solution.
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

Ubiquitous Robot: A New Paradigm for Intelligence.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Visualizing MOOC User Behaviors: A Case Study on XuetangX.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

Supervised Online Dictionary Learning for Image Separation Using OMP.
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
Active learning via query synthesis and nearest neighbour search.
Neurocomputing, 2015

Mining Massive-Scale Spatiotemporal Trajectories in Parallel: A Survey.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

A Parallel GPU-Based Approach to Clustering Very Fast Data Streams.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Context-Dependent Sentiment Classification Using Antonym Pairs and Double Expansion.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Cyberinfrastructure: Applications and challenges.
Proceedings of the International Conference on Smart Computing, 2014

Real-time hand gesture recognition with Kinect for playing racing video games.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An efficient parallel ISODATA algorithm based on Kepler GPUs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Effective Palm Tracking with Integrated Tracker and Offline Detector.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

Robust Fingertip Tracking with Improved Kalman Filter.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

Parallel Frequent Pattern Mining without Candidate Generation on GPUs.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism.
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

Corpus analysis and automatic detection of emotion-including keywords.
Proceedings of the Sixth International Conference on Machine Vision, 2013

Local correlation detection with linearity enhancement in streaming data.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Density-based hierarchical clustering for streaming data.
Pattern Recognit. Lett., 2012

PNN query processing on compressed trajectories.
GeoInformatica, 2012

Measure oriented training: a targeted approach to imbalanced classification problems.
Frontiers Comput. Sci., 2012

Approaching optimal compression with fast update for large scale routing tables.
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

Understanding the Top Grass Roots in Sina-Weibo.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Sampling + reweighting: Boosting the performance of AdaBoost on imbalanced datasets.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Querying representative points from a pool based on synthesized queries.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Mining Google Scholar Citations: An Exploratory Study.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

User oriented trajectory search for trip recommendation.
Proceedings of the 15th International Conference on Extending Database Technology, 2012

Enhancing Software Search with Semantic Information from Wikipedia.
Proceedings of the Semantic Web and Web Science, 2012

Music Recommendation Based on Label Correlation.
Proceedings of the Semantic Web and Web Science, 2012

2011
A Measure Oriented Training Scheme for Imbalanced Classification Problems.
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
Training a Pac-Man Player with Minimum Domain Knowledge and Basic Rationality.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

Experience on Applying Push Model to Packet Processors in High Performance Routers.
Proceedings of the Global Communications Conference, 2010

2009
An Empirical Study of the Convergence of RegionBoost.
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

The Effect of Distance Metrics on Boosting with Dynamic Weighting Schemes.
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

Classification and Dimension Reduction in Bank Credit Scoring System.
Proceedings of the Advances in Neural Networks, 2008

2007
Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

On the Optimal Robot Routing Problem in Wireless Sensor Networks.
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 general-purpose tunable landscape generator.
IEEE Trans. Evol. Comput., 2006

A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA.
Proceedings of the Theory of Evolutionary Algorithms, 05.02. - 10.02.2006, 2006

Real-Time Acquisition of Buyer Behaviour Data - The Smart Shop Floor Scenario.
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

On the importance of diversity maintenance in estimation of distribution algorithms.
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

A hybrid approach to parameter tuning in genetic algorithms.
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


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