Bo Dong
Orcid: 0000-0001-7695-9072Affiliations:
- Xi'an Jiaotong University, National Engineering Lab for Big Data Analytics, Xi'an, China (PhD 2014)
According to our database1,
Bo Dong
authored at least 114 papers
between 2008 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Mach. Learn., September, 2025
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning.
CoRR, August, 2025
Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection.
CoRR, August, 2025
CoRR, June, 2025
Data Min. Knowl. Discov., March, 2025
IEEE Trans. Neural Networks Learn. Syst., February, 2025
A Low-Rank Matching Attention Based Cross-Modal Feature Fusion Method for Conversational Emotion Recognition.
IEEE Trans. Affect. Comput., 2025
Neural Networks, 2025
When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute.
Neural Networks, 2025
NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning.
Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Neural Networks, 2024
CoRR, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Cogn. Comput., March, 2023
IEEE Trans. Knowl. Data Eng., 2023
IEEE Trans. Instrum. Meas., 2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
An edge feature aware heterogeneous graph neural network model to support tax evasion detection.
Expert Syst. Appl., 2023
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition.
CoRR, 2023
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs.
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023
2022
IEEE Trans. Signal Process., 2022
IEEE/ACM Trans. Netw., 2022
Multim. Tools Appl., 2022
Knowl. Based Syst., 2022
Knowl. Based Syst., 2022
Be United in Actions: Taking Live Snapshots of Heterogeneous Edge-Cloud Collaborative Cluster With Low Overhead.
IEEE Internet Things J., 2022
Appl. Intell., 2022
TNTC: Two-Stream Network with Transformer-Based Complementarity for Gait-Based Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Vis. Comput. Graph., 2021
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework.
Medical Image Anal., 2021
Knowl. Based Syst., 2021
Neurocomputing, 2021
Towards accurate RGB-D saliency detection with complementary attention and adaptive integration.
Neurocomputing, 2021
CoRR, 2021
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021
A Multi-label Propagation Community Detection Algorithm for Dynamic Complex Networks.
Proceedings of the Advanced Information Systems Engineering, 2021
2020
CoRR, 2020
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching.
CoRR, 2020
IEEE Access, 2020
Be Good Neighbors: A Novel Application Isolation Metric Used to Optimize the Initial Container Placement in CaaS.
IEEE Access, 2020
IEEE Access, 2020
A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Features.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
An Overlapping Community Detection Algorithm Based on Triangle Reduction Weighted for Large-Scale Complex Network.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020
TTED-PU: A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
RVAE-ABFA : Robust Anomaly Detection for HighDimensional Data Using Variational Autoencoder.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
NEUD-TRI: Network Embedding Based on Upstream and Downstream for Transaction Risk Identification.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN.
IEEE Trans. Biomed. Eng., 2019
Identifying suspicious groups of affiliated-transaction-based tax evasion in big data.
Inf. Sci., 2019
Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks.
IEEE Internet Things J., 2019
IEEE Access, 2019
How Learner Support Services Affect Student Engagement in Online Learning Environments.
IEEE Access, 2019
Proceedings of the World Wide Web Conference, 2019
LearnerExp: Exploring and Explaining the Time Management of Online Learning Activity.
Proceedings of the World Wide Web Conference, 2019
Visual Analysis of the Time Management of Learning Multiple Courses in Online Learning Environment.
Proceedings of the 30th IEEE Visualization Conference, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
VUC: Visualizing Daily Video Utilization to Promote Student Engagement in Online Distance Education.
Proceedings of the ACM Conference on Global Computing Education, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Secure Content Delivery With Edge Nodes to Save Caching Resources for Mobile Users in Green Cities.
IEEE Trans. Ind. Informatics, 2018
Associate multi-task scheduling algorithm based on self-adaptive inertia weight particle swarm optimization with disruption operator and chaos operator in cloud environment.
Serv. Oriented Comput. Appl., 2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN.
CoRR, 2018
Proceedings of the 17th IEEE International Conference On Trust, 2018
Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018
Measuring Student's Utilization of Video Resources and Its Effect on Academic Performance.
Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018
Proceedings of the E-Learning and Games - 12th International Conference, 2018
Proceedings of the Cloud Computing - CLOUD 2018, 2018
2017
Deadlock-free migration for virtual machine consolidation using Chicken Swarm Optimization algorithm.
J. Intell. Fuzzy Syst., 2017
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017
2016
Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016
2015
PWLM<sup>3</sup>-based automatic performance model estimation method for HDFS write and read operations.
Future Gener. Comput. Syst., 2015
Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds.
Proceedings of the Doctoral Symposium of the 16th International Middleware Conference, 2015
Deep learning for automatic cell detection in wide-field microscopy zebrafish images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Multi-objective Optimization Algorithm Based on BBO for Virtual Machine Consolidation Problem.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015
2014
Performance models and dynamic characteristics analysis for HDFS write and read operations: A systematic view.
J. Syst. Softw., 2014
Three-Dimensional Deconvolution of Wide Field Microscopy with Sparse Priors: Application to Zebrafish Imagery.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014
2012
J. Netw. Comput. Appl., 2012
2010
Proceedings of the Cloud Computing, Second International Conference, 2010
A Novel Approach to Improving the Efficiency of Storing and Accessing Small Files on Hadoop: A Case Study by PowerPoint Files.
Proceedings of the 2010 IEEE International Conference on Services Computing, 2010
2009
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009
Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies, 2009
Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009
Proceedings of the First International CIKM Workshop on Cloud Data Management, 2009
2008
A service-oriented approach to integration of e-learning Information and Resource Management Systems.
Proceedings of the 12th International Conference on CSCW in Design, 2008