Bo Yang

Orcid: 0000-0003-1927-8419

Affiliations:
  • Jilin University, College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China


According to our database1, Bo Yang authored at least 163 papers between 2003 and 2025.

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Bibliography

2025
PerCNet: Periodic complete representation for crystal graphs.
Neural Networks, 2025

2024
A Truthful Pricing-Based Defending Strategy Against Adversarial Attacks in Budgeted Combinatorial Multi-Armed Bandits.
IEEE Trans. Knowl. Data Eng., November, 2024

Large-Scale Spatiotemporal Fracture Data Completion in Sparse CrowdSensing.
IEEE Trans. Mob. Comput., July, 2024

A Data-Driven Crowdsensing Framework for Parking Violation Detection.
IEEE Trans. Mob. Comput., June, 2024

Effective Fault Scenario Identification for Communication Networks via Knowledge-Enhanced Graph Neural Networks.
IEEE Trans. Mob. Comput., April, 2024

Item Attribute-aware Graph Collaborative Filtering.
Expert Syst. Appl., March, 2024

Attribute imputation autoencoders for attribute-missing graphs.
Knowl. Based Syst., 2024

Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling.
CoRR, 2024

A novel graph oversampling framework for node classification in class-imbalanced graphs.
Sci. China Inf. Sci., 2024

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions.
Proceedings of the ACM on Web Conference 2024, 2024

Zero-shot Image Classification with Logic Adapter and Rule Prompt.
Proceedings of the ACM on Web Conference 2024, 2024

Robust Representation Learning for Image Clustering.
Proceedings of the Knowledge Science, Engineering and Management, 2024

GPFedRec: Graph-Guided Personalization for Federated Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Few-Shot Data Completion for New Tasks in Sparse Crowdsensing.
Proceedings of the IEEE INFOCOM 2024, 2024

Federated Adaptation for Foundation Model-based Recommendations.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Spatiotemporal Urban Inference and Prediction in Sparse Mobile CrowdSensing: A Graph Neural Network Approach.
IEEE Trans. Mob. Comput., November, 2023

LaenNet: Learning robust GCNs by propagating labels.
Neural Networks, November, 2023

A new population initialization of metaheuristic algorithms based on hybrid fuzzy rough set for high-dimensional gene data feature selection.
Comput. Biol. Medicine, November, 2023

Hyperbolic Neural Collaborative Recommender.
IEEE Trans. Knowl. Data Eng., September, 2023

A survey on neural-symbolic learning systems.
Neural Networks, September, 2023

HRL4EC: Hierarchical reinforcement learning for multi-mode epidemic control.
Inf. Sci., September, 2023

A survey of sum-product networks structural learning.
Neural Networks, July, 2023

Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing.
IEEE/ACM Trans. Netw., April, 2023

BO-Aug: learning data augmentation policies via Bayesian optimization.
Appl. Intell., April, 2023

SSBM: A signed stochastic block model for multiple structure discovery in large-scale exploratory signed networks.
Knowl. Based Syst., 2023

Learning Continuous Network Emerging Dynamics from Scarce Observations via Data-Adaptive Stochastic Processes.
CoRR, 2023

A Novel Neural-symbolic System under Statistical Relational Learning.
CoRR, 2023

IFedRec: Item-Guided Federated Aggregation for Cold-Start.
CoRR, 2023

Graph-guided Personalization for Federated Recommendation.
CoRR, 2023

Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks.
Proceedings of the ACM Web Conference 2023, 2023

Learning Generalizable Agents via Saliency-guided Features Decorrelation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatiotemporal Transformer for Data Inference and Long Prediction in Sparse Mobile CrowdSensing.
Proceedings of the IEEE INFOCOM 2023, 2023

QVDDPG: QV Learning with Balanced Constraint in Actor-Critic Framework.
Proceedings of the International Joint Conference on Neural Networks, 2023

Dual Personalization on Federated Recommendation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Stable Task-Level Manifold for Few-Shot Learning.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022
Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs.
IEEE Trans. Neural Networks Learn. Syst., 2022

Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model.
IEEE Trans. Cybern., 2022

Active Surveillance via Group Sparse Bayesian Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Trustworthy and Efficient Crowdsensed Data Trading on Sharding Blockchain.
IEEE J. Sel. Areas Commun., 2022

HSR: Hyperbolic Social Recommender.
Inf. Sci., 2022

Global Contextual Dependency Network for Object Detection.
Future Internet, 2022

Hypercomplex Graph Collaborative Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Dual-system Method for Intelligent Fault Localization in Communication Networks.
Proceedings of the IEEE International Conference on Communications, 2022

Image Anomaly Detection With Semantic- Enhanced Augmentation and Distributional Kernel.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Counterfactual-Guided and Curiosity-Driven Multi-hop Reasoning over Knowledge Graph.
Proceedings of the Database Systems for Advanced Applications, 2022

Meta-path Enhanced Lightweight Graph Neural Network for Social Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A block-based generative model for attributed network embedding.
World Wide Web, 2021

GSIRec: Learning with graph side information for recommendation.
World Wide Web, 2021

A Scalable Redefined Stochastic Blockmodel.
ACM Trans. Knowl. Discov. Data, 2021

Leveraging implicit relations for recommender systems.
Inf. Sci., 2021

Interpretable Variational Graph Autoencoder with Noninformative Prior.
Future Internet, 2021

A novel framework of graph Bayesian optimization and its applications to real-world network analysis.
Expert Syst. Appl., 2021

A Survey on Neural-symbolic Systems.
CoRR, 2021

Hyperbolic Neural Collaborative Recommender.
CoRR, 2021

HSR: Hyperbolic Social Recommender.
CoRR, 2021

DNEA: Dynamic Network Embedding Method for Anomaly Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Cost-aware Graph Generation: A Deep Bayesian Optimization Approach.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Semi-supervised stochastic blockmodel for structure analysis of signed networks.
Knowl. Based Syst., 2020

Neural Explainable Recommender Model Based on Attributes and Reviews.
J. Comput. Sci. Technol., 2020

Robust stochastic block model.
Neurocomputing, 2020

A Block-based Generative Model for Attributed Networks Embedding.
CoRR, 2020

Curvature Regularization to Prevent Distortion in Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Geom-GCN: Geometric Graph Convolutional Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks.
CoRR, 2019

Constrained Consistency Modeling for Attributed Network Embedding.
IEEE Access, 2019

Detecting Hot Topics From Academic Big Data.
IEEE Access, 2019

Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL.
IEEE Access, 2019

Cost-Minimizing Online Algorithms for Geo-Distributed Data Analytics.
IEEE Access, 2019

Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking.
IEEE Access, 2019

Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning.
IEEE Access, 2019

Deep Neural Architecture Search with Deep Graph Bayesian Optimization.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Sequential Recommendation Based on Long-Term and Short-Term User Behavior with Self-attention.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Topology Optimization based Graph Convolutional Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Bayesian Optimization on Attributed Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Stochastic Variational Inference-Based Parallel and Online Supervised Topic Model for Large-Scale Text Processing.
J. Comput. Sci. Technol., 2018

Learning node and edge embeddings for signed networks.
Neurocomputing, 2018

Minimum-latency data aggregation scheduling based on multi-path routing structures under physical interference model.
Int. J. Distributed Sens. Networks, 2018

Non-cooperative game approach for task offloading in edge clouds.
CoRR, 2018

Graph Bayesian Optimization: Algorithms, Evaluations and Applications.
CoRR, 2018

Coupled Low Rank Approximation for Collaborative Filtering in Social Networks.
IEEE Access, 2018

Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks.
IEEE Access, 2018

Reparameterized Stochastic Block Model Adaptive to Heterogeneous Degree and Block Distributions.
IEEE Access, 2018

Trust-Distrust Aware Recommendation by Integrating Metric Learning with Matrix Factorization.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Web Data Extraction from Scientific Publishers' Website Using Hidden Markov Model.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Partially Observable Reinforcement Learning for Sustainable Active Surveillance.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Deep social collaborative filtering by trust.
Proceedings of 2018 International Conference on Big Data Technologies, 2018

A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Stochastic Blockmodeling and Variational Bayes Learning for Signed Network Analysis.
IEEE Trans. Knowl. Data Eng., 2017

On time-sensitive revenue management in green data centers.
Sustain. Comput. Informatics Syst., 2017

Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Social Collaborative Filtering by Trust.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses.
Neurocomputing, 2017

Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows.
CoRR, 2017

Exploring Uncertainty Methods for Centrality Analysis in Social Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Evolving support vector machines using fruit fly optimization for medical data classification.
Knowl. Based Syst., 2016

IASM: A System for the Intelligent Active Surveillance of Malaria.
Comput. Math. Methods Medicine, 2016

Intelligent CPSS and its application to health care computing.
Sci. China Inf. Sci., 2016

An Efficient and Effective Automatic Recognition System for Online Recognition of Foreign Fibers in Cotton.
IEEE Access, 2016

A fast and scalable supervised topic model using stochastic variational inference and MapReduce.
Proceedings of the IEEE International Conference on Network Infrastructure and Digital Content, 2016

Mining Multiplex Structural Patterns from Complex Networks.
Proceedings of the Wisdom Web of Things, 2016

2015
On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking.
Knowl. Based Syst., 2015

A two-stage feature selection method with its application.
Comput. Electr. Eng., 2015

Location based surveillance for early detection of contagious outbreaks.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Randomization improving online time-sensitive revenue maximization for green data centers.
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

TDRec: Enhancing Social Recommendation Using Both Trust and Distrust Information.
Proceedings of the 2015 Second European Network Intelligence Conference, 2015

Heterogeneous Data Mining for Planning Active Surveillance of Malaria.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

Bayesian Approach to Modeling and Detecting Communities in Signed Network.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

On the Scalable Learning of Stochastic Blockmodel.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Community detection for proximity alignment.
Integr. Comput. Aided Eng., 2014

Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton.
Appl. Soft Comput., 2014

Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy.
Appl. Math. Comput., 2014

Efficiently and Fast Learning a Fine-grained Stochastic Blockmodel from Large Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Negative energy detector using cellphone bluetooth and contact list.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Modeling and Mining Spatiotemporal Patterns of Infection Risk from Heterogeneous Data for Active Surveillance Planning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A computing approach to agent bidding in continuous double auction.
Web Intell. Agent Syst., 2013

Decentralized mining social network communities with agents.
Math. Comput. Model., 2013

Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks.
Int. J. Comput. Intell. Syst., 2013

Hierarchical community detection with applications to real-world network analysis.
Data Knowl. Eng., 2013

Markov random walk under constraint for discovering overlapping communities in complex networks
CoRR, 2013

Discovering link communities in complex networks by exploiting link dynamics
CoRR, 2013

Outsourcing of Verifiable Composite Modular Exponentiations.
Proceedings of the 2013 5th International Conference on Intelligent Networking and Collaborative Systems, 2013

Social Collaborative Filtering by Trust.
Proceedings of the IJCAI 2013, 2013

2012
Characterizing and Extracting Multiplex Patterns in Complex Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2012

On the Spectral Characterization and Scalable Mining of Network Communities.
IEEE Trans. Knowl. Data Eng., 2012

Design of an Enhanced Fuzzy k-nearest Neighbor Classifier Based Computer Aided Diagnostic System for Thyroid Disease.
J. Medical Syst., 2012

Support Vector Machine Based Diagnostic System for Breast Cancer Using Swarm Intelligence.
J. Medical Syst., 2012

A Three-Stage Expert System Based on Support Vector Machines for Thyroid Disease Diagnosis.
J. Medical Syst., 2012

An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks.
Adv. Complex Syst., 2012

Improving the Recommendation of Collaborative Filtering by Fusing Trust Network.
Proceedings of the Eighth International Conference on Computational Intelligence and Security, 2012

2011
A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method.
Knowl. Based Syst., 2011

A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis.
Expert Syst. Appl., 2011

A new hybrid method based on local fisher discriminant analysis and support vector machines for hepatitis disease diagnosis.
Expert Syst. Appl., 2011

Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks.
Adv. Complex Syst., 2011

Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

An Adaptive Fuzzy <i>k</i>-Nearest Neighbor Method Based on Parallel Particle Swarm Optimization for Bankruptcy Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Mining Hierarchical Communities from Complex Networks Using Distance-Based Similarity.
Proceedings of the Emerging Intelligent Technologies in Industry, 2011

Discovering Explorative Patterns from Real-World Complex Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

A Random Network Ensemble Model Based Generalized Network Community Mining Algorithm.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2010
Discovering Communities from Social Networks: Methodologies and Applications.
Proceedings of the Handbook of Social Network Technologies and Applications, 2010

A neural network ensemble method for precision fertilization modeling.
Math. Comput. Model., 2010

Multiplex Structures: Patterns of Complexity in Real-World Networks
CoRR, 2010

An autonomy-oriented computing approach to community mining in distributed and dynamic networks.
Auton. Agents Multi Agent Syst., 2010

2009
Fast Complex Network Clustering Algorithm Using Agents.
Proceedings of the Eighth IEEE International Conference on Dependable, 2009

A Multi-Agent Based Decentralized Algorithm for Social Network Community Mining.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
Discovering global network communities based on local centralities.
ACM Trans. Web, 2008

On Modularity of Social Network Communities: The Spectral Characterization.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

2007
Community Mining from Signed Social Networks.
IEEE Trans. Knowl. Data Eng., 2007

A Heuristic Clustering Algorithm for Mining Communities in Signed Networks.
J. Comput. Sci. Technol., 2007

An Autonomy Oriented Computing (AOC) Approach to Distributed Network Community Mining.
Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems, 2007

An Efficient Probabilistic Approach to Network Community Mining.
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

Process Mining: Extending <i>alpha</i> -Algorithm to Mine Duplicate Tasks in Process Logs.
Proceedings of the Advances in Web and Network Technologies, and Information Management, 2007

2006
Force-Based Incremental Algorithm for Mining Community Structure in Dynamic Network.
J. Comput. Sci. Technol., 2006

Self-Organizing Network Evolving Model for Mining Network Community Structure.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2003
Towards efficient resource on-demand in Grid Computing.
ACM SIGOPS Oper. Syst. Rev., 2003


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