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ORCIDBo Dong 0001
Person information
- affiliation (PhD 2014): Xi'an Jiaotong University, National Engineering Lab for Big Data Analytics, Xi'an, China
Other persons with the same name
- Bo Dong — disambiguation page
- Bo Dong 0002
![[0000-0003-3988-8054]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3988-8054")
— Changchun University of Technology, Department of Control Science and Engineering, China (and 2 more) - Bo Dong 0003 — Michigan State University, Depertment of Electrical and Computer Engineering, East Lansing, MI, USA
- Bo Dong 0004 — Princeton University, Department of Computer Science, NJ, USA (and 2 more)
Other persons with a similar name
- Dong Bo
- Edward Dong Bo Cui (aka: Edward Cui) — Case Western Reserve University, Cleveland, Ohio, USA
- Bo-Qing Dong
- Xingbo Dong (aka: Xing-Bo Dong)
- Dong-Bo Hsu
- Dong-Bo Li
- Bo Dong Liang
- Dong-Bo Liu
- Dongbo Min (aka: Dong Bo Min)
- Dong-Bo Pan
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2020 – today
- 2025
[j40]Yiming Xu, Bin Shi, Bo Dong, Jiaxiang Wang, Hua Wei, Qinghua Zheng:
TED: related party transaction guided tax evasion detection on heterogeneous graph. Data Min. Knowl. Discov. 39(2): 15 (2025)- [j39]Zhen Peng, Yunfan Wang, Qika Lin, Bo Dong, Chao Shen:
When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute. Neural Networks 185: 107194 (2025) - [j38]Geng Chen, Qingyue Wang, Bo Dong, Ruitao Ma, Nian Liu, Huazhu Fu, Yong Xia:
EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3175-3188 (2025) - 2024
- [j37]Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong:
Learning dynamic graph representations through timespan view contrasts. Neural Networks 176: 106384 (2024) - [j36]Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li:
Markov Subsampling Based on Huber Criterion. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2250-2262 (2024) - [j35]Jianfei Ruan, Qinghua Zheng, Rui Zhao, Bo Dong:
Biased Complementary-Label Learning Without True Labels. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2616-2627 (2024) - [c55]Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng:
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. AAAI 2024: 8246-8254 - [c54]Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong:
Partial Multi-View Clustering via Self-Supervised Network. AAAI 2024: 11988-11995 - [c53]Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei:
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. AAAI 2024: 21726-21734 - [c52]Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong:
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. CVPR 2024: 22809-22819 - [c51]Chuanfei Hu, Hang Shao, Bo Dong, Zhe Wang, Yongxiong Wang:
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition. ICME 2024: 1-9 - [c50]Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao:
Federated Multi-View Clustering via Tensor Factorization. IJCAI 2024: 3962-3970 - [c49]Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao:
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. IJCAI 2024: 3971-3979 - [c48]Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi:
Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization. KDD 2024: 211-221 - [c47]Wei Feng, Dongyuan Wei, Qianqian Wang, Bo Dong, Quanxue Gao:
Multi-View Clustering Based on Deep Non-negative Tensor Factorization. ACM Multimedia 2024: 1130-1138 - [c46]Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Quanxue Gao:
Federated Fuzzy C-means with Schatten-p Norm Minimization. ACM Multimedia 2024: 9407-9416 - [i18]Wanghan Xu, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong:
GraphPub: Generation of Differential Privacy Graph with High Availability. CoRR abs/2403.00030 (2024) - [i17]Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong:
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. CoRR abs/2405.05714 (2024) - [i16]Rui Zhao, Bin Shi, Zhiming Liang, Jianfei Ruan, Bo Dong, Lu Lin:
Training a Label-Noise-Resistant GNN with Reduced Complexity. CoRR abs/2411.11020 (2024) - [i15]Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng:
CLDG: Contrastive Learning on Dynamic Graphs. CoRR abs/2412.14451 (2024) - 2023
- [j34]Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen:
A Boundary Regression Model for Nested Named Entity Recognition. Cogn. Comput. 15(2): 534-551 (2023) - [j33]Kai Wang, Yanping Chen, Kunjian Wen, Chao Wei, Bo Dong, Qinghua Zheng, Yongbin Qin:
Cue prompt adapting model for relation extraction. Connect. Sci. 35(1) (2023) - [j32]Bin Shi, Bo Dong, Yiming Xu, Jiaxiang Wang, Yunfan Wang, Qinghua Zheng:
An edge feature aware heterogeneous graph neural network model to support tax evasion detection. Expert Syst. Appl. 213(Part): 118903 (2023) - [j31]Yanping Chen, Xinyang Zhong, Yijun Liu, Bo Dong, Qinghua Zheng:
A deep penetration network for sentence classification. Inf. Fusion 95: 174-185 (2023) - [j30]Qinghua Zheng, Yuefei Wu, Guangtao Wang, Yanping Chen, Wei Wu, Zai Zhang, Bin Shi, Bo Dong:
Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2899-2909 (2023) - [j29]Chuanfei Hu, Bo Dong, Hang Shao, Jiapeng Zhang, Yongxiong Wang:
Toward Purifying Defect Feature for Multilabel Sewer Defect Classification. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j28]Yuda Gao, Bin Shi, Bo Dong, Yiyang Wang, Lingyun Mi, Qinghua Zheng:
Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning. IEEE Trans. Knowl. Data Eng. 35(1): 931-944 (2023) - [c45]Teng Ma, Bin Shi, Yiming Xu, Zihan Zhao, Siqi Liang, Bo Dong:
DYGL: A Unified Benchmark and Library for Dynamic Graph. APWeb/WAIM (3) 2023: 389-401 - [c44]Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei:
Rethinking Sentiment Analysis under Uncertainty. CIKM 2023: 2775-2784 - [c43]Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng:
CLDG: Contrastive Learning on Dynamic Graphs. ICDE 2023: 696-707 - [c42]Bo Dong, Yiming Xu, Sunyi Chi, Zhenyu Shi, Zheng Du:
APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning. ICMLA 2023: 1867-1874 - [c41]Yan Zhou, Bo Dong, Yuanfeng Wu, Wentao Zhu, Geng Chen, Yanning Zhang:
Dichotomous Image Segmentation with Frequency Priors. IJCAI 2023: 1822-1830 - [c40]Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng:
NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method. IJCAI 2023: 5287-5295 - [i14]Sunyi Chi, Bo Dong, Yiming Xu, Zhenyu Shi, Zheng Du:
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning. CoRR abs/2302.03488 (2023) - [i13]Haihao Shen, Hengyu Meng, Bo Dong, Zhe Wang, Ofir Zafrir, Yi Ding, Yu Luo, Hanwen Chang, Qun Gao, Ziheng Wang, Guy Boudoukh, Moshe Wasserblat:
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs. CoRR abs/2306.16601 (2023) - [i12]Yuntao Shou, Xiangyong Cao, Deyu Meng, Bo Dong, Qinghua Zheng:
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition. CoRR abs/2306.17799 (2023) - 2022
- [j27]Hanning Zhang, Bo Dong, Qinghua Zheng, Boqin Feng:
Research on fast text recognition method for financial ticket image. Appl. Intell. 52(15): 18156-18166 (2022) - [j26]Bin Shi, Bo Dong, Qinghua Zheng:
Be United in Actions: Taking Live Snapshots of Heterogeneous Edge-Cloud Collaborative Cluster With Low Overhead. IEEE Internet Things J. 9(10): 7311-7324 (2022) - [j25]Rui Zhao, Jianfei Ruan, Bo Dong, Li Meng, Weizhan Zhang:
Improving unsupervised image clustering with spatial consistency. Knowl. Based Syst. 246: 108673 (2022) - [j24]Ruixue Tang, Yanping Chen, Yongbin Qin, Ruizhang Huang, Bo Dong, Qinghua Zheng:
Boundary assembling method for joint entity and relation extraction. Knowl. Based Syst. 250: 109129 (2022) - [j23]Hanning Zhang, Bo Dong, Qinghua Zheng, Boqin Feng, Bo Xu, Haiyu Wu:
All-content text recognition method for financial ticket images. Multim. Tools Appl. 81(20): 28327-28346 (2022) - [j22]Lin Li, Bo Dong, Eric Rigall, Tao Zhou, Junyu Dong, Geng Chen:
Marine Animal Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2303-2314 (2022) - [j21]Bin Shi, Haiying Shen, Bo Dong, Qinghua Zheng:
Memory/Disk Operation Aware Lightweight VM Live Migration. IEEE/ACM Trans. Netw. 30(4): 1895-1910 (2022) - [j20]Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong:
Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Signal Process. 70: 6170-6184 (2022) - [c39]Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li:
Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. AAAI 2022: 6721-6728 - [c38]Chuanfei Hu, Weijie Sheng, Bo Dong, Xinde Li:
TNTC: Two-Stream Network with Transformer-Based Complementarity for Gait-Based Emotion Recognition. ICASSP 2022: 3229-3233 - [i11]Chuanfei Hu, Hang Shao, Bo Dong, Zhe Wang, Yongxiong Wang:
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition. CoRR abs/2210.13716 (2022) - [i10]Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat:
Fast DistilBERT on CPUs. CoRR abs/2211.07715 (2022) - 2021
- [j19]Bo Dong, Yan Zhou, Chuanfei Hu, Keren Fu, Geng Chen:
BCNet: Bidirectional collaboration network for edge-guided salient object detection. Neurocomputing 437: 58-71 (2021) - [j18]Hongbo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Jiquan Ma:
Towards accurate RGB-D saliency detection with complementary attention and adaptive integration. Neurocomputing 439: 63-74 (2021) - [j17]Hanning Zhang, Qinghua Zheng, Bo Dong, Boqin Feng:
A financial ticket image intelligent recognition system based on deep learning. Knowl. Based Syst. 222: 106955 (2021) - [j16]Jiannan Liu, Bo Dong, Shuai Wang, Hui Cui, Deng-Ping Fan, Jiquan Ma, Geng Chen:
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework. Medical Image Anal. 74: 102205 (2021) - [j15]Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng:
TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groups. IEEE Trans. Vis. Comput. Graph. 27(2): 849-859 (2021) - [c37]Hanning Zhang, Bo Dong, Haiyu Wu, Boqin Feng:
A Multi-label Propagation Community Detection Algorithm for Dynamic Complex Networks. CAiSE 2021: 467-482 - [c36]Hanning Zhang, Bo Dong, Boqin Feng, Bifan Wei:
A Keyword Query Approach Based on Community Structure of RDF Entity Graph. COMPSAC 2021: 1143-1148 - [i9]Hongbo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Jiquan Ma:
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration. CoRR abs/2102.04046 (2021) - [i8]Bo Dong, Wenhai Wang, Deng-Ping Fan, Jinpeng Li, Huazhu Fu, Ling Shao:
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers. CoRR abs/2108.06932 (2021) - [i7]Chuanfei Hu, Weijie Sheng, Bo Dong, Xinde Li:
TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition. CoRR abs/2110.13708 (2021) - [i6]Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li:
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment. CoRR abs/2112.04779 (2021) - [i5]Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li:
Markov subsampling based Huber Criterion. CoRR abs/2112.06134 (2021) - [i4]Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng:
Computationally Efficient Approximations for Matrix-based Renyi's Entropy. CoRR abs/2112.13720 (2021) - 2020
- [j14]Tian Ma, Feng Tian, Bo Dong:
Ordinal Optimization-Based Performance Model Estimation Method for HDFS. IEEE Access 8: 889-899 (2020) - [j13]Hanning Zhang, Bo Dong, Boqin Feng, Fang Yang, Bo Xu:
Classification of Financial Tickets Using Weakly Supervised Fine-Grained Networks. IEEE Access 8: 129469-129477 (2020) - [j12]Rong Zhang, Yaxing Chen, Fa Zhang, Feng Tian, Bo Dong:
Be Good Neighbors: A Novel Application Isolation Metric Used to Optimize the Initial Container Placement in CaaS. IEEE Access 8: 178195-178207 (2020) - [c35]Yiyang Wang, Qinghua Zheng, Jianfei Ruan, Yuda Gao, Yan Chen, Xuanya Li, Bo Dong:
T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection. IEEE BigData 2020: 1410-1415 - [c34]Fa Zhang, Bin Shi, Bo Dong, Qinghua Zheng, Xiangting Ji:
TTED-PU: A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning. COMPSAC 2020: 207-216 - [c33]Yingchao Wu, Bo Dong, Qinghua Zheng, Rongzhe Wei, Zhiwen Wang, Xuanya Li:
A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation. COMPSAC 2020: 235-244 - [c32]Jingyi An, Qinghua Zheng, Rongzhe Wei, Bo Dong, Xuanya Li:
NEUD-TRI: Network Embedding Based on Upstream and Downstream for Transaction Risk Identification. COMPSAC 2020: 277-286 - [c31]Yuda Gao, Bin Shi, Bo Dong, Yan Chen, Lingyun Mi, Zhiping Huang, Yuanyuan Shi:
RVAE-ABFA : Robust Anomaly Detection for HighDimensional Data Using Variational Autoencoder. COMPSAC 2020: 334-339 - [c30]Hanning Zhang, Bo Dong, Boqin Feng, Haiyu Wu:
An Overlapping Community Detection Algorithm Based on Triangle Reduction Weighted for Large-Scale Complex Network. ICA3PP (1) 2020: 627-644 - [c29]Lingyun Mi, Bo Dong, Bin Shi, Qinghua Zheng:
A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Features. ICONIP (2) 2020: 140-151 - [i3]Rongzhe Wei, Fa Zhang, Bo Dong, Qinghua Zheng:
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching. CoRR abs/2007.09312 (2020) - [i2]Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng:
TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group. CoRR abs/2009.03179 (2020)
2010 – 2019
- 2019
- [j11]Huan He, Qinghua Zheng, Dehai Di, Bo Dong:
How Learner Support Services Affect Student Engagement in Online Learning Environments. IEEE Access 7: 49961-49973 (2019) - [j10]Rong Zhang, Yaxing Chen, Bo Dong, Feng Tian, Qinghua Zheng:
A Genetic Algorithm-Based Energy-Efficient Container Placement Strategy in CaaS. IEEE Access 7: 121360-121373 (2019) - [j9]Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong, Kuan Zhang:
Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks. IEEE Internet Things J. 6(3): 4536-4546 (2019) - [j8]Jianfei Ruan, Zheng Yan, Bo Dong, Qinghua Zheng, Buyue Qian:
Identifying suspicious groups of affiliated-transaction-based tax evasion in big data. Inf. Sci. 477: 508-532 (2019) - [j7]Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. IEEE Trans. Biomed. Eng. 66(7): 1975-1986 (2019) - [c28]Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He, Jianfei Ruan:
ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification. IEEE BigData 2019: 1527-1536 - [c27]Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He:
Unsupervised Conditional Adversarial Networks for Tax Evasion Detection. IEEE BigData 2019: 1675-1680 - [c26]Yingchao Wu, Qinghua Zheng, Yuda Gao, Bo Dong, Rongzhe Wei, Fa Zhang, Huan He:
TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning. IEEE BigData 2019: 1681-1686 - [c25]Huan He, Bo Dong, Qinghua Zheng, Guobin Li:
VUC: Visualizing Daily Video Utilization to Promote Student Engagement in Online Distance Education. CompEd 2019: 99-105 - [c24]Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong:
ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups. IJCAI 2019: 6584-6586 - [c23]Huan He, Bo Dong, Qinghua Zheng, Dehai Di, Yating Lin:
Visual Analysis of the Time Management of Learning Multiple Courses in Online Learning Environment. IEEE VIS (Short Papers) 2019: 56-60 - [c22]Huan He, Qinghua Zheng, Bo Dong:
LearnerExp: Exploring and Explaining the Time Management of Online Learning Activity. WWW 2019: 3521-3525 - [c21]Hongchao Yu, Huan He, Qinghua Zheng, Bo Dong:
TaxVis: a Visual System for Detecting Tax Evasion Group. WWW 2019: 3610-3614 - 2018
- [j6]Rong Zhang, Feng Tian, Xiaochun Ren, Yaxing Chen, Kuo-Ming Chao, Ruomeng Zhao, Bo Dong, Wei Wang:
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. 12(2): 87-94 (2018) - [j5]Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong:
Secure Content Delivery With Edge Nodes to Save Caching Resources for Mobile Users in Green Cities. IEEE Trans. Ind. Informatics 14(6): 2550-2559 (2018) - [c20]Rong Zhang, A-Min Zhong, Bo Dong, Feng Tian, Rui Li:
Container-VM-PM Architecture: A Novel Architecture for Docker Container Placement. CLOUD 2018: 128-140 - [c19]Huan He, Qinghua Zheng, Rui Li, Bo Dong:
Using Face Recognition to Detect "Ghost Writer" Cheating in Examination. Edutainment 2018: 389-397 - [c18]Huan He, Qinghua Zheng, Bo Dong, Hongchao Yu:
Measuring Student's Utilization of Video Resources and Its Effect on Academic Performance. ICALT 2018: 196-198 - [c17]Huan He, Qinghua Zheng, Bo Dong:
VUSphere: Visual Analysis of Video Utilization in Online Distance Education. VAST 2018: 25-35 - [c16]Xulyu Zhu, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong:
IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning. TrustCom/BigDataSE 2018: 1224-1235 - [i1]Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. CoRR abs/1811.02688 (2018) - 2017
- [j4]Feng Tian, Rong Zhang, Jacek Lewandowski, Kuo-Ming Chao, Longzhuang Li, Bo Dong:
Deadlock-free migration for virtual machine consolidation using Chicken Swarm Optimization algorithm. J. Intell. Fuzzy Syst. 32(2): 1389-1400 (2017) - [c15]Wenda Wei, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong:
Mining Suspicious Tax Evasion Groups in a Corporate Governance Network. ICA3PP 2017: 465-475 - 2016
- [c14]Le Zhang, Ali Gooya, Bo Dong, Rui Hua, Steffen E. Petersen, Pau Medrano-Gracia, Alejandro F. Frangi:
Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks. SASHIMI@MICCAI 2016: 138-145 - 2015
- [j3]Feng Tian, Tian Ma, Bo Dong, Qinghua Zheng:
PWLM3-based automatic performance model estimation method for HDFS write and read operations. Future Gener. Comput. Syst. 50: 127-139 (2015) - [c13]Qinghua Zheng, Jia Li, Bo Dong, Rui Li, Nazaraf Shah, Feng Tian:
Multi-objective Optimization Algorithm Based on BBO for Virtual Machine Consolidation Problem. ICPADS 2015: 414-421 - [c12]Bo Dong, Ling Shao, Marc Da Costa, Oliver Bandmann, Alejandro F. Frangi:
Deep learning for automatic cell detection in wide-field microscopy zebrafish images. ISBI 2015: 772-776 - [c11]Jianfei Ruan, Qinghua Zheng, Bo Dong:
Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds. Middleware Doctoral Symposium 2015: 6:1-6:4 - [c10]Ni Xue, Huan He, Jun Liu, Qinghua Zheng, Tian Ma, Jianfei Ruan, Bo Dong:
Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning. TrustCom/BigDataSE/ISPA (2) 2015: 136-142 - 2014
- [j2]Bo Dong, Qinghua Zheng, Feng Tian, Kuo-Ming Chao, Nick Godwin, Tian Ma, Haipeng Xu:
Performance models and dynamic characteristics analysis for HDFS write and read operations: A systematic view. J. Syst. Softw. 93: 132-151 (2014) - [c9]Qinghua Zheng, Huan He, Tian Ma, Ni Xue, Bing Li, Bo Dong:
Big Log Analysis for E-Learning Ecosystem. ICEBE 2014: 258-263 - [c8]Bo Dong, Ling Shao, Alejandro F. Frangi, Oliver Bandmann, Marc Da Costa:
Three-Dimensional Deconvolution of Wide Field Microscopy with Sparse Priors: Application to Zebrafish Imagery. ICPR 2014: 865-870 - 2012
- [j1]Bo Dong, Qinghua Zheng, Feng Tian, Kuo-Ming Chao, Rui Ma, Rachid Anane:
An optimized approach for storing and accessing small files on cloud storage. J. Netw. Comput. Appl. 35(6): 1847-1862 (2012) - 2010
- [c7]Bo Dong, Jie Qiu, Qinghua Zheng, Xiao Zhong, Jingwei Li, Ying Li:
A Novel Approach to Improving the Efficiency of Storing and Accessing Small Files on Hadoop: A Case Study by PowerPoint Files. IEEE SCC 2010: 65-72 - [c6]Bo Dong, Xiao Zhong, Qinghua Zheng, Lirong Jian, Jian Liu, Jie Qiu, Ying Li:
Correlation Based File Prefetching Approach for Hadoop. CloudCom 2010: 41-48
2000 – 2009
- 2009
- [c5]Feng Wang, Jie Qiu, Jie Yang, Bo Dong, Xin Hui Li, Ying Li:
Hadoop high availability through metadata replication. CloudDB@CIKM 2009: 37-44 - [c4]Bo Dong, Qinghua Zheng, Mu Qiao, Jian Shu, Jie Yang:
BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing. CloudCom 2009: 577-582 - [c3]Bo Dong, Qinghua Zheng, Jie Yang, Haifei Li, Mu Qiao:
An E-learning Ecosystem Based on Cloud Computing Infrastructure. ICALT 2009: 125-127 - [c2]Bo Dong, Qinghua Zheng, Lingzhi Xu, Haifei Li, Jie Yang, Mu Qiao:
Jampots: A Mashup System towards an E-learning Ecosystem. NCM 2009: 200-205 - 2008
- [c1]Qinghua Zheng, Bo Dong, Feng Tian, Wei Chen:
A service-oriented approach to integration of e-learning Information and Resource Management Systems. CSCWD 2008: 1047-1052
Coauthor Index
[j40] [j35] [c55] [c53] [i15] [j34] [j33] [j32] [j31] [j30] [j28] [c44] [c43] [c40] [i12] [j27] [j26] [j24] [j23] [j21] [j17] [j15] [i4] [c35] [c34] [c33] [c32] [c29] [i3] [i2] [j11] [j10] [j9] [j8] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [j5] [c19] [c18] [c17] [c16] [c15] [j3] [c13] [c11] [c10] [j2] [c9] [j1] [c7] [c6] [c4] [c3] [c2] [c1]
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last updated on 2025-04-02 00:14 CEST by the dblp team
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