Bo Dong

According to our database, Bo Dong authored at least 85 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Biased Complementary-Label Learning Without True Labels.

Jianfei Ruan, Qinghua Zheng, Rui Zhao, Bo Dong

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Markov Subsampling Based on Huber Criterion.

Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Learning dynamic graph representations through timespan view contrasts.

Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong

Neural Networks, 2024

GraphPub: Generation of Differential Privacy Graph with High Availability.

Wanghan Xu, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong

CoRR, 2024

Federated Fuzzy C-means with Schatten-<i>p</i> Norm Minimization.

Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Quanxue Gao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-View Clustering Based on Deep Non-negative Tensor Factorization.

Wei Feng, Dongyuan Wei, Qianqian Wang, Bo Dong, Quanxue Gao

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.

Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi

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.

Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Federated Multi-View Clustering via Tensor Factorization.

Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning.

Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution.

Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Partial Multi-View Clustering via Self-Supervised Network.

Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong

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.

Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cue prompt adapting model for relation extraction.

Kai Wang, Yanping Chen, Kunjian Wen, Chao Wei, Bo Dong, Qinghua Zheng, Yongbin Qin

Connect. Sci., December, 2023

A deep penetration network for sentence classification.

Yanping Chen, Xinyang Zhong, Yijun Liu, Bo Dong, Qinghua Zheng

Inf. Fusion, July, 2023

A Boundary Regression Model for Nested Named Entity Recognition.

Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen

Cogn. Comput., March, 2023

Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning.

Yuda Gao, Bin Shi, Bo Dong, Yiyang Wang, Lingyun Mi, Qinghua Zheng

IEEE Trans. Knowl. Data Eng., 2023

Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition.

Qinghua Zheng, Yuefei Wu, Guangtao Wang, Yanping Chen, Wei Wu, Zai Zhang, Bin Shi, Bo Dong

IEEE ACM Trans. Audio Speech Lang. Process., 2023

An edge feature aware heterogeneous graph neural network model to support tax evasion detection.

Bin Shi, Bo Dong, Yiming Xu, Jiaxiang Wang, Yunfan Wang, Qinghua Zheng

Expert Syst. Appl., 2023

A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition.

Yuntao Shou, Xiangyong Cao, Deyu Meng, Bo Dong, Qinghua Zheng

CoRR, 2023

NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method.

Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng

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.

Bo Dong, Yiming Xu, Sunyi Chi, Zhenyu Shi, Zheng Du

Proceedings of the International Conference on Machine Learning and Applications, 2023

CLDG: Contrastive Learning on Dynamic Graphs.

Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Rethinking Sentiment Analysis under Uncertainty.

Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DYGL: A Unified Benchmark and Library for Dynamic Graph.

Teng Ma, Bin Shi, Yiming Xu, Zihan Zhao, Siqi Liang, Bo Dong

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Computationally Efficient Approximations for Matrix-Based Rényi's Entropy.

Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong

IEEE Trans. Signal Process., 2022

Memory/Disk Operation Aware Lightweight VM Live Migration.

Bin Shi, Haiying Shen, Bo Dong, Qinghua Zheng

IEEE/ACM Trans. Netw., 2022

All-content text recognition method for financial ticket images.

Hanning Zhang, Bo Dong, Qinghua Zheng, Boqin Feng, Bo Xu, Haiyu Wu

Multim. Tools Appl., 2022

Improving unsupervised image clustering with spatial consistency.

Rui Zhao, Jianfei Ruan, Bo Dong, Li Meng, Weizhan Zhang

Knowl. Based Syst., 2022

Boundary assembling method for joint entity and relation extraction.

Ruixue Tang, Yanping Chen, Yongbin Qin, Ruizhang Huang, Bo Dong, Qinghua Zheng

Knowl. Based Syst., 2022

Be United in Actions: Taking Live Snapshots of Heterogeneous Edge-Cloud Collaborative Cluster With Low Overhead.

Bin Shi, Bo Dong, Qinghua Zheng

IEEE Internet Things J., 2022

Research on fast text recognition method for financial ticket image.

Hanning Zhang, Bo Dong, Qinghua Zheng, Boqin Feng

Appl. Intell., 2022

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment.

Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groups.

Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng

IEEE Trans. Vis. Comput. Graph., 2021

A financial ticket image intelligent recognition system based on deep learning.

Hanning Zhang, Qinghua Zheng, Bo Dong, Boqin Feng

Knowl. Based Syst., 2021

Computationally Efficient Approximations for Matrix-based Renyi's Entropy.

Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng

CoRR, 2021

A Keyword Query Approach Based on Community Structure of RDF Entity Graph.

Hanning Zhang, Bo Dong, Boqin Feng, Bifan Wei

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

A Multi-label Propagation Community Detection Algorithm for Dynamic Complex Networks.

Hanning Zhang, Bo Dong, Haiyu Wu, Boqin Feng

Proceedings of the Advanced Information Systems Engineering, 2021

2020

TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group.

Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng

CoRR, 2020

DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching.

Rongzhe Wei, Fa Zhang, Bo Dong, Qinghua Zheng

CoRR, 2020

Classification of Financial Tickets Using Weakly Supervised Fine-Grained Networks.

Hanning Zhang, Bo Dong, Boqin Feng, Fang Yang, Bo Xu

IEEE Access, 2020

Be Good Neighbors: A Novel Application Isolation Metric Used to Optimize the Initial Container Placement in CaaS.

Rong Zhang, Yaxing Chen, Fa Zhang, Feng Tian, Bo Dong

IEEE Access, 2020

Ordinal Optimization-Based Performance Model Estimation Method for HDFS.

Tian Ma, Feng Tian, Bo Dong

IEEE Access, 2020

A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Features.

Lingyun Mi, Bo Dong, Bin Shi, Qinghua Zheng

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.

Hanning Zhang, Bo Dong, Boqin Feng, Haiyu Wu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

TTED-PU: A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning.

Fa Zhang, Bin Shi, Bo Dong, Qinghua Zheng, Xiangting Ji

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation.

Yingchao Wu, Bo Dong, Qinghua Zheng, Rongzhe Wei, Zhiwen Wang, Xuanya Li

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

RVAE-ABFA : Robust Anomaly Detection for HighDimensional Data Using Variational Autoencoder.

Yuda Gao, Bin Shi, Bo Dong, Yan Chen, Lingyun Mi, Zhiping Huang, Yuanyuan Shi

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.

Jingyi An, Qinghua Zheng, Rongzhe Wei, Bo Dong, Xuanya Li

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection.

Yiyang Wang, Qinghua Zheng, Jianfei Ruan, Yuda Gao, Yan Chen, Xuanya Li, Bo Dong

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Identifying suspicious groups of affiliated-transaction-based tax evasion in big data.

Jianfei Ruan, Zheng Yan, Bo Dong, Qinghua Zheng, Buyue Qian

Inf. Sci., 2019

Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks.

Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong, Kuan Zhang

IEEE Internet Things J., 2019

A Genetic Algorithm-Based Energy-Efficient Container Placement Strategy in CaaS.

Rong Zhang, Yaxing Chen, Bo Dong, Feng Tian, Qinghua Zheng

IEEE Access, 2019

How Learner Support Services Affect Student Engagement in Online Learning Environments.

Huan He, Qinghua Zheng, Dehai Di, Bo Dong

IEEE Access, 2019

TaxVis: a Visual System for Detecting Tax Evasion Group.

Hongchao Yu, Huan He, Qinghua Zheng, Bo Dong

Proceedings of the World Wide Web Conference, 2019

LearnerExp: Exploring and Explaining the Time Management of Online Learning Activity.

Huan He, Qinghua Zheng, Bo Dong

Proceedings of the World Wide Web Conference, 2019

Visual Analysis of the Time Management of Learning Multiple Courses in Online Learning Environment.

Huan He, Bo Dong, Qinghua Zheng, Dehai Di, Yating Lin

Proceedings of the 30th IEEE Visualization Conference, 2019

ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups.

Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong

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.

Huan He, Bo Dong, Qinghua Zheng, Guobin Li

Proceedings of the ACM Conference on Global Computing Education, 2019

TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning.

Yingchao Wu, Qinghua Zheng, Yuda Gao, Bo Dong, Rongzhe Wei, Fa Zhang, Huan He

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification.

Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He, Jianfei Ruan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Unsupervised Conditional Adversarial Networks for Tax Evasion Detection.

Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He

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.

Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong

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.

Rong Zhang, Feng Tian, Xiaochun Ren, Yaxing Chen, Kuo-Ming Chao, Ruomeng Zhao, Bo Dong, Wei Wang

Serv. Oriented Comput. Appl., 2018

IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning.

Xulyu Zhu, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong

Proceedings of the 17th IEEE International Conference On Trust, 2018

VUSphere: Visual Analysis of Video Utilization in Online Distance Education.

Huan He, Qinghua Zheng, Bo Dong

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.

Huan He, Qinghua Zheng, Bo Dong, Hongchao Yu

Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018

Using Face Recognition to Detect "Ghost Writer" Cheating in Examination.

Huan He, Qinghua Zheng, Rui Li, Bo Dong

Proceedings of the E-Learning and Games - 12th International Conference, 2018

Container-VM-PM Architecture: A Novel Architecture for Docker Container Placement.

Rong Zhang, A-Min Zhong, Bo Dong, Feng Tian, Rui Li

Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017

Deadlock-free migration for virtual machine consolidation using Chicken Swarm Optimization algorithm.

Feng Tian, Rong Zhang, Jacek Lewandowski, Kuo-Ming Chao, Longzhuang Li, Bo Dong

J. Intell. Fuzzy Syst., 2017

Mining Suspicious Tax Evasion Groups in a Corporate Governance Network.

Wenda Wei, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong

Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

2015

PWLM³-based automatic performance model estimation method for HDFS write and read operations.

Feng Tian, Tian Ma, Bo Dong, Qinghua Zheng

Future Gener. Comput. Syst., 2015

Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning.

Ni Xue, Huan He, Jun Liu, Qinghua Zheng, Tian Ma, Jianfei Ruan, Bo Dong

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds.

Jianfei Ruan, Qinghua Zheng, Bo Dong

Proceedings of the Doctoral Symposium of the 16th International Middleware Conference, 2015

Multi-objective Optimization Algorithm Based on BBO for Virtual Machine Consolidation Problem.

Qinghua Zheng, Jia Li, Bo Dong, Rui Li, Nazaraf Shah, Feng Tian

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.

Bo Dong, Qinghua Zheng, Feng Tian, Kuo-Ming Chao, Nick Godwin, Tian Ma, Haipeng Xu

J. Syst. Softw., 2014

Big Log Analysis for E-Learning Ecosystem.

Qinghua Zheng, Huan He, Tian Ma, Ni Xue, Bing Li, Bo Dong

Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014

2012

An optimized approach for storing and accessing small files on cloud storage.

Bo Dong, Qinghua Zheng, Feng Tian, Kuo-Ming Chao, Rui Ma, Rachid Anane

J. Netw. Comput. Appl., 2012

2010

Correlation Based File Prefetching Approach for Hadoop.

Bo Dong, Xiao Zhong, Qinghua Zheng, Lirong Jian, Jian Liu, Jie Qiu, Ying Li

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.

Bo Dong, Jie Qiu, Qinghua Zheng, Xiao Zhong, Jingwei Li, Ying Li

Proceedings of the 2010 IEEE International Conference on Services Computing, 2010

2009

Jampots: A Mashup System towards an E-learning Ecosystem.

Bo Dong, Qinghua Zheng, Lingzhi Xu, Haifei Li, Jie Yang, Mu Qiao

Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

An E-learning Ecosystem Based on Cloud Computing Infrastructure.

Bo Dong, Qinghua Zheng, Jie Yang, Haifei Li, Mu Qiao

Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies, 2009

BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing.

Bo Dong, Qinghua Zheng, Mu Qiao, Jian Shu, Jie Yang

Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009

Hadoop high availability through metadata replication.

Feng Wang, Jie Qiu, Jie Yang, Bo Dong, Xin Hui Li, Ying Li

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.

Qinghua Zheng, Bo Dong, Feng Tian, Wei Chen

Proceedings of the 12th International Conference on CSCW in Design, 2008