Bo Dong - RankMe

144 papers A* 25A 4B 11C 5Misc 1Journal 77Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A guard against ambiguous sentiment for multimodal aspect-level sentiment classification. Inf. Process. Manag. Yanjing Wang, Kai Sun, Bin Shi, Hao Wu, Kaihao Zhang, Bo Dong
2026	A*	`conf`	Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection. AAAI Kai Sun, Yuxin Lin, Bo Dong, Jingyao Zhang, Bin Shi
2026	J	`jnl`	Hide and Find: A Distributed Adversarial Attack on Federated Graph Learning. CoRR Jinshan Liu, Ken Li, Jiazhe Wei, Bin Shi, Bo Dong
2026	J	`jnl`	Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning. CoRR Rui Zhao, Bin Shi, Kai Sun, Bo Dong
2026	J	`jnl`	RADAR: Relation-assisted dual-graph aligning recognition for grounded multimodal named entity recognition. Inf. Process. Manag. Zai Zhang, Bin Shi, Kai Sun, Hao Wu, Bo Dong
2026	A*	`conf`	Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems. AAAI Kai Sun, Wenqiang Li, Bo Dong, Yuxin Lin, Jingyao Zhang, Bin Shi
2026	J	`jnl`	Towards the generalization of multi-view learning: An information-theoretical analysis. Inf. Fusion Wen Wen, Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong
2026	J	`jnl`	TransTS: an adaptive post-hoc method for probability calibration under label noise. Sci. China Inf. Sci. Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng
2025	J	`jnl`	A Low-Rank Matching Attention Based Cross-Modal Feature Fusion Method for Conversational Emotion Recognition. IEEE Trans. Affect. Comput. Yuntao Shou, Huan Liu, Xiangyong Cao, Deyu Meng, Bo Dong
2025	J	`jnl`	ALM-PU: positive and unlabeled learning with constrained optimization. Mach. Learn. Jiazhe Wei, Yuefei Wu, Bin Shi, Ken Li, Bo Dong
2025	A*	`conf`	Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection. ACM Multimedia Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong
2025	J	`jnl`	Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection. CoRR Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong
2025	J	`jnl`	EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst. Geng Chen, Qingyue Wang, Bo Dong, Ruitao Ma, Nian Liu, Huazhu Fu, Yong Xia
2025	J	`jnl`	End-to-End Abnormal Subgraph Detection via Subgraph-Level Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Zhen Peng, Yunfan Wang, Qika Lin, Bin Shi, Chen Chen, Bo Dong, Chao Shen
2025	J	`jnl`	Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph. CoRR Jingwei Wang, Zai Zhang, Hao Qian, Chunjing Gan, Binbin Hu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Bin Shi, Bo Dong
2025	J	`jnl`	Feature Bank Enhancement for Distance-based Out-of-Distribution Detection. CoRR Yuhang Liu, Yuefei Wu, Bin Shi, Bo Dong
2025	A*	`conf`	Federated Multi-view Graph Clustering with Incomplete Attribute Imputation. IJCAI Wei Feng, Zeyu Bi, Qianqian Wang, Bo Dong
2025	B	`conf`	Generation, Validation, and Selection: A Proof-by-Contradiction Reasoning Chain Data Synthesis Method for Enhancing Indirect Reasoning in Large Language Models. IEEE Big Data Runsheng Li, Kai Sun, Bin Shi, Bo Dong
2025	J	`jnl`	HGExplainer: Toward Interpretable Heterogeneous Graph Neural Networks via Meta-path Perturbation. J. Signal Process. Syst. Yanjing Wang, Zhuohan Zhang, Jialiang Yin, Xintong Li, Bin Shi, Bo Dong
2025	J	`jnl`	Management Actions Enhanced Traffic Prediction Under Sparse Data. IEEE Trans. Intell. Transp. Syst. Zhiming Liang, Bin Shi, Bo Dong, Hua Wei
2025	A*	`conf`	NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning. WWW Ken Li, Bin Shi, Jiazhe Wei, Bo Dong
2025	A*	`conf`	Out-of-Distribution Generalization on Graphs via Progressive Inference. AAAI Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen
2025	J	`jnl`	Out-of-Distribution Generalization on Graphs via Progressive Inference. CoRR Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen
2025	A*	`conf`	Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. AAAI Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025	J	`jnl`	Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. CoRR Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025	—	`conf`	Self-Supervised Continual Graph Learning via Adaptive Spaced Replay on Node Proxies. KDD (2) Zhen Peng, Xu Hua, Jingchen Hao, Qika Lin, Bo Dong, Chao Shen
2025	J	`jnl`	Sharpening semantic gradient in a planarized sentence representation. Neural Networks Caiwei Yang, Yanping Chen, Shuai Yu, Bo Dong, Jiwei Qin
2025	J	`jnl`	TED: related party transaction guided tax evasion detection on heterogeneous graph. Data Min. Knowl. Discov. Yiming Xu, Bin Shi, Bo Dong, Jiaxiang Wang, Hua Wei, Qinghua Zheng
2025	A*	`conf`	Tensorial Multi-view Clustering with Deep Anchor Graph Projection. IJCAI Wei Feng, Dongyuvan Wei, Qianqian Wang, Bo Dong
2025	A	`conf`	Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. ECAI Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2025	J	`jnl`	Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. CoRR Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2025	J	`jnl`	Uncertainty-aware large language model response length perception. Sci. China Inf. Sci. Bin Shi, Bo Dong, Qinghua Zheng
2025	A*	`conf`	VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification. AAAI Kai Sun, Hao Wu, Bin Shi, Samuel Mensah, Peng Liu, Bo Dong
2025	J	`jnl`	When bipartite graph learning meets anomaly detection in attributed networks: Understand abnormalities from each attribute. Neural Networks Zhen Peng, Yunfan Wang, Qika Lin, Bo Dong, Chao Shen
2024	A	`conf`	ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition. ICME Chuanfei Hu, Hang Shao, Bo Dong, Zhe Wang, Yongxiong Wang
2024	J	`jnl`	Biased Complementary-Label Learning Without True Labels. IEEE Trans. Neural Networks Learn. Syst. Jianfei Ruan, Qinghua Zheng, Rui Zhao, Bo Dong
2024	J	`jnl`	CLDG: Contrastive Learning on Dynamic Graphs. CoRR Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng
2024	A*	`conf`	Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. IJCAI Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao
2024	A*	`conf`	Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. CVPR Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong
2024	J	`jnl`	Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. CoRR Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong
2024	A*	`conf`	Federated Fuzzy C-means with Schatten- ACM Multimedia Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Quanxue Gao
2024	A*	`conf`	Federated Multi-View Clustering via Tensor Factorization. IJCAI Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Zhiqiang Tao, Quanxue Gao
2024	J	`jnl`	GraphPub: Generation of Differential Privacy Graph with High Availability. CoRR Wanghan Xu, Bin Shi, Ao liu, Jiqiang Zhang, Bo Dong
2024	J	`jnl`	Learning dynamic graph representations through timespan view contrasts. Neural Networks Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong
2024	J	`jnl`	Markov Subsampling Based on Huber Criterion. IEEE Trans. Neural Networks Learn. Syst. Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
2024	A*	`conf`	Multi-View Clustering Based on Deep Non-negative Tensor Factorization. ACM Multimedia Wei Feng, Dongyuan Wei, Qianqian Wang, Bo Dong, Quanxue Gao
2024	A*	`conf`	Partial Multi-View Clustering via Self-Supervised Network. AAAI Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong
2024	A*	`conf`	RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. AAAI Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng
2024	A*	`conf`	Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization. KDD Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi
2024	A*	`conf`	The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. AAAI Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei
2024	J	`jnl`	Training a Label-Noise-Resistant GNN with Reduced Complexity. CoRR Rui Zhao, Bin Shi, Zhiming Liang, Jianfei Ruan, Bo Dong, Lu Lin
2023	J	`jnl`	A Boundary Regression Model for Nested Named Entity Recognition. Cogn. Comput. Yanping Chen, Lefei Wu, Qinghua Zheng, Ruizhang Huang, Jun Liu, Liyuan Deng, Junhui Yu, Yongbin Qing, Bo Dong, Ping Chen
2023	J	`jnl`	A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition. CoRR Yuntao Shou, Xiangyong Cao, Deyu Meng, Bo Dong, Qinghua Zheng
2023	J	`jnl`	A deep penetration network for sentence classification. Inf. Fusion Yanping Chen, Xinyang Zhong, Yijun Liu, Bo Dong, Qinghua Zheng
2023	C	`conf`	APAM: Adaptive Pre-Training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-Tailed Learning. ICMLA Bo Dong, Yiming Xu, Sunyi Chi, Zhenyu Shi, Zheng Du
2023	J	`jnl`	APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning. CoRR Sunyi Chi, Bo Dong, Yiming Xu, Zhenyu Shi, Zheng Du
2023	J	`jnl`	An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs. CoRR Haihao Shen, Hengyu Meng, Bo Dong, Zhe Wang, Ofir Zafrir, Yi Ding, Yu Luo, Hanwen Chang, Qun Gao, Ziheng Wang, Guy Boudoukh, Moshe Wasserblat
2023	J	`jnl`	An edge feature aware heterogeneous graph neural network model to support tax evasion detection. Expert Syst. Appl. Bin Shi, Bo Dong, Yiming Xu, Jiaxiang Wang, Yunfan Wang, Qinghua Zheng
2023	A*	`conf`	CLDG: Contrastive Learning on Dynamic Graphs. ICDE Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng
2023	J	`jnl`	Cue prompt adapting model for relation extraction. Connect. Sci. Kai Wang, Yanping Chen, Kunjian Wen, Chao Wei, Bo Dong, Qinghua Zheng, Yongbin Qin
2023	—	`conf`	DYGL: A Unified Benchmark and Library for Dynamic Graph. APWeb/WAIM (3) Teng Ma, Bin Shi, Yiming Xu, Zihan Zhao, Siqi Liang, Bo Dong
2023	A*	`conf`	Dichotomous Image Segmentation with Frequency Priors. IJCAI Yan Zhou, Bo Dong, Yuanfeng Wu, Wentao Zhu, Geng Chen, Yanning Zhang
2023	J	`jnl`	Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. Qinghua Zheng, Yuefei Wu, Guangtao Wang, Yanping Chen, Wei Wu, Zai Zhang, Bin Shi, Bo Dong
2023	A*	`conf`	NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method. IJCAI Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng
2023	A	`conf`	Rethinking Sentiment Analysis under Uncertainty. CIKM Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei
2023	J	`jnl`	Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning. IEEE Trans. Knowl. Data Eng. Yuda Gao, Bin Shi, Bo Dong, Yiyang Wang, Lingyun Mi, Qinghua Zheng
2023	J	`jnl`	Toward Purifying Defect Feature for Multilabel Sewer Defect Classification. IEEE Trans. Instrum. Meas. Chuanfei Hu, Bo Dong, Hang Shao, Jiapeng Zhang, Yongxiong Wang
2022	J	`jnl`	ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition. CoRR Chuanfei Hu, Hang Shao, Bo Dong, Zhe Wang, Yongxiong Wang
2022	J	`jnl`	All-content text recognition method for financial ticket images. Multim. Tools Appl. Hanning Zhang, Bo Dong, Qinghua Zheng, Boqin Feng, Bo Xu, Haiyu Wu
2022	J	`jnl`	Be United in Actions: Taking Live Snapshots of Heterogeneous Edge-Cloud Collaborative Cluster With Low Overhead. IEEE Internet Things J. Bin Shi, Bo Dong, Qinghua Zheng
2022	J	`jnl`	Boundary assembling method for joint entity and relation extraction. Knowl. Based Syst. Ruixue Tang, Yanping Chen, Yongbin Qin, Ruizhang Huang, Bo Dong, Qinghua Zheng
2022	J	`jnl`	Computationally Efficient Approximations for Matrix-Based Rényi's Entropy. IEEE Trans. Signal Process. Tieliang Gong, Yuxin Dong, Shujian Yu, Bo Dong
2022	J	`jnl`	Fast DistilBERT on CPUs. CoRR Haihao Shen, Ofir Zafrir, Bo Dong, Hengyu Meng, Xinyu Ye, Zhe Wang, Yi Ding, Hanwen Chang, Guy Boudoukh, Moshe Wasserblat
2022	J	`jnl`	Improving unsupervised image clustering with spatial consistency. Knowl. Based Syst. Rui Zhao, Jianfei Ruan, Bo Dong, Li Meng, Weizhan Zhang
2022	J	`jnl`	Marine Animal Segmentation. IEEE Trans. Circuits Syst. Video Technol. Lin Li, Bo Dong, Eric Rigall, Tao Zhou, Junyu Dong, Geng Chen
2022	J	`jnl`	Memory/Disk Operation Aware Lightweight VM Live Migration. IEEE/ACM Trans. Netw. Bin Shi, Haiying Shen, Bo Dong, Qinghua Zheng
2022	A*	`conf`	Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment. AAAI Tieliang Gong, Yuxin Dong, Hong Chen, Wei Feng, Bo Dong, Chen Li
2022	J	`jnl`	Research on fast text recognition method for financial ticket image. Appl. Intell. Hanning Zhang, Bo Dong, Qinghua Zheng, Boqin Feng
2022	Misc	`conf`	TNTC: Two-Stream Network with Transformer-Based Complementarity for Gait-Based Emotion Recognition. ICASSP Chuanfei Hu, Weijie Sheng, Bo Dong, Xinde Li
2021	B	`conf`	A Keyword Query Approach Based on Community Structure of RDF Entity Graph. COMPSAC Hanning Zhang, Bo Dong, Boqin Feng, Bifan Wei
2021	A	`conf`	A Multi-label Propagation Community Detection Algorithm for Dynamic Complex Networks. CAiSE Hanning Zhang, Bo Dong, Haiyu Wu, Boqin Feng
2021	J	`jnl`	A financial ticket image intelligent recognition system based on deep learning. Knowl. Based Syst. Hanning Zhang, Qinghua Zheng, Bo Dong, Boqin Feng
2021	J	`jnl`	BCNet: Bidirectional collaboration network for edge-guided salient object detection. Neurocomputing Bo Dong, Yan Zhou, Chuanfei Hu, Keren Fu, Geng Chen
2021	J	`jnl`	COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework. Medical Image Anal. Jiannan Liu, Bo Dong, Shuai Wang, Hui Cui, Deng-Ping Fan, Jiquan Ma, Geng Chen
2021	J	`jnl`	Computationally Efficient Approximations for Matrix-based Renyi's Entropy. CoRR Tieliang Gong, Yuxin Dong, Shujian Yu, Hong Chen, Bo Dong, Chen Li, Qinghua Zheng
2021	J	`jnl`	Markov subsampling based Huber Criterion. CoRR Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
2021	J	`jnl`	Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers. CoRR Bo Dong, Wenhai Wang, Deng-Ping Fan, Jinpeng Li, Huazhu Fu, Ling Shao
2021	J	`jnl`	Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment. CoRR Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li
2021	J	`jnl`	TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition. CoRR Chuanfei Hu, Weijie Sheng, Bo Dong, Xinde Li
2021	J	`jnl`	TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groups. IEEE Trans. Vis. Comput. Graph. Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng
2021	J	`jnl`	Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration. CoRR Hongbo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Jiquan Ma
2021	J	`jnl`	Towards accurate RGB-D saliency detection with complementary attention and adaptive integration. Neurocomputing Hongbo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Jiquan Ma
2020	B	`conf`	A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation. COMPSAC Yingchao Wu, Bo Dong, Qinghua Zheng, Rongzhe Wei, Zhiwen Wang, Xuanya Li
2020	—	`conf`	A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Features. ICONIP (2) Lingyun Mi, Bo Dong, Bin Shi, Qinghua Zheng
2020	—	`conf`	An Overlapping Community Detection Algorithm Based on Triangle Reduction Weighted for Large-Scale Complex Network. ICA3PP (1) Hanning Zhang, Bo Dong, Boqin Feng, Haiyu Wu
2020	J	`jnl`	Be Good Neighbors: A Novel Application Isolation Metric Used to Optimize the Initial Container Placement in CaaS. IEEE Access Rong Zhang, Yaxing Chen, Fa Zhang, Feng Tian, Bo Dong
2020	J	`jnl`	Classification of Financial Tickets Using Weakly Supervised Fine-Grained Networks. IEEE Access Hanning Zhang, Bo Dong, Boqin Feng, Fang Yang, Bo Xu
2020	J	`jnl`	DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching. CoRR Rongzhe Wei, Fa Zhang, Bo Dong, Qinghua Zheng
2020	B	`conf`	NEUD-TRI: Network Embedding Based on Upstream and Downstream for Transaction Risk Identification. COMPSAC Jingyi An, Qinghua Zheng, Rongzhe Wei, Bo Dong, Xuanya Li
2020	J	`jnl`	Ordinal Optimization-Based Performance Model Estimation Method for HDFS. IEEE Access Tian Ma, Feng Tian, Bo Dong
2020	B	`conf`	RVAE-ABFA : Robust Anomaly Detection for HighDimensional Data Using Variational Autoencoder. COMPSAC Yuda Gao, Bin Shi, Bo Dong, Yan Chen, Lingyun Mi, Zhiping Huang, Yuanyuan Shi
2020	—	`conf`	T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection. IEEE BigData Yiyang Wang, Qinghua Zheng, Jianfei Ruan, Yuda Gao, Yan Chen, Xuanya Li, Bo Dong
2020	B	`conf`	TTED-PU: A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning. COMPSAC Fa Zhang, Bin Shi, Bo Dong, Qinghua Zheng, Xiangting Ji
2020	J	`jnl`	TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group. CoRR Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng
2019	J	`jnl`	A Genetic Algorithm-Based Energy-Efficient Container Placement Strategy in CaaS. IEEE Access Rong Zhang, Yaxing Chen, Bo Dong, Feng Tian, Qinghua Zheng
2019	—	`conf`	ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification. IEEE BigData Rongzhe Wei, Qinghua Zheng, Bo Dong, Kuanzheng Yang, Huan He, Jianfei Ruan
2019	A*	`conf`	ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups. IJCAI Qinghua Zheng, Yating Lin, Huan He, Jianfei Ruan, Bo Dong
2019	J	`jnl`	Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN. IEEE Trans. Biomed. Eng. Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2019	J	`jnl`	Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks. IEEE Internet Things J. Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong, Kuan Zhang
2019	J	`jnl`	How Learner Support Services Affect Student Engagement in Online Learning Environments. IEEE Access Huan He, Qinghua Zheng, Dehai Di, Bo Dong
2019	J	`jnl`	Identifying suspicious groups of affiliated-transaction-based tax evasion in big data. Inf. Sci. Jianfei Ruan, Zheng Yan, Bo Dong, Qinghua Zheng, Buyue Qian
2019	A*	`conf`	LearnerExp: Exploring and Explaining the Time Management of Online Learning Activity. WWW Huan He, Qinghua Zheng, Bo Dong
2019	—	`conf`	TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning. IEEE BigData Yingchao Wu, Qinghua Zheng, Yuda Gao, Bo Dong, Rongzhe Wei, Fa Zhang, Huan He
2019	A*	`conf`	TaxVis: a Visual System for Detecting Tax Evasion Group. WWW Hongchao Yu, Huan He, Qinghua Zheng, Bo Dong
2019	—	`conf`	Unsupervised Conditional Adversarial Networks for Tax Evasion Detection. IEEE BigData Rongzhe Wei, Bo Dong, Qinghua Zheng, Xulyu Zhu, Jianfei Ruan, Huan He
2019	—	`conf`	VUC: Visualizing Daily Video Utilization to Promote Student Engagement in Online Distance Education. CompEd Huan He, Bo Dong, Qinghua Zheng, Guobin Li
2019	—	`conf`	Visual Analysis of the Time Management of Learning Multiple Courses in Online Learning Environment. IEEE VIS (Short Papers) Huan He, Bo Dong, Qinghua Zheng, Dehai Di, Yating Lin
2018	J	`jnl`	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. Rong Zhang, Feng Tian, Xiaochun Ren, Yaxing Chen, Kuo-Ming Chao, Ruomeng Zhao, Bo Dong, Wei Wang
2018	J	`jnl`	Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN. CoRR Le Zhang, Ali Gooya, Marco Pereañez, Bo Dong, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2018	B	`conf`	Container-VM-PM Architecture: A Novel Architecture for Docker Container Placement. CLOUD Rong Zhang, A-Min Zhong, Bo Dong, Feng Tian, Rui Li
2018	—	`conf`	IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning. TrustCom/BigDataSE Xulyu Zhu, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong
2018	B	`conf`	Measuring Student's Utilization of Video Resources and Its Effect on Academic Performance. ICALT Huan He, Qinghua Zheng, Bo Dong, Hongchao Yu
2018	J	`jnl`	Secure Content Delivery With Edge Nodes to Save Caching Resources for Mobile Users in Green Cities. IEEE Trans. Ind. Informatics Qichao Xu, Zhou Su, Qinghua Zheng, Minnan Luo, Bo Dong
2018	—	`conf`	Using Face Recognition to Detect "Ghost Writer" Cheating in Examination. Edutainment Huan He, Qinghua Zheng, Rui Li, Bo Dong
2018	—	`conf`	VUSphere: Visual Analysis of Video Utilization in Online Distance Education. VAST Huan He, Qinghua Zheng, Bo Dong
2017	J	`jnl`	Deadlock-free migration for virtual machine consolidation using Chicken Swarm Optimization algorithm. J. Intell. Fuzzy Syst. Feng Tian, Rong Zhang, Jacek Lewandowski, Kuo-Ming Chao, Longzhuang Li, Bo Dong
2017	C	`conf`	Mining Suspicious Tax Evasion Groups in a Corporate Governance Network. ICA3PP Wenda Wei, Zheng Yan, Jianfei Ruan, Qinghua Zheng, Bo Dong
2016	—	`conf`	Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks. SASHIMI@MICCAI Le Zhang, Ali Gooya, Bo Dong, Rui Hua, Steffen E. Petersen, Pau Medrano-Gracia, Alejandro F. Frangi
2015	—	`conf`	Deep learning for automatic cell detection in wide-field microscopy zebrafish images. ISBI Bo Dong, Ling Shao, Marc Da Costa, Oliver Bandmann, Alejandro F. Frangi
2015	B	`conf`	Multi-objective Optimization Algorithm Based on BBO for Virtual Machine Consolidation Problem. ICPADS Qinghua Zheng, Jia Li, Bo Dong, Rui Li, Nazaraf Shah, Feng Tian
2015	—	`conf`	Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds. Middleware Doctoral Symposium Jianfei Ruan, Qinghua Zheng, Bo Dong
2015	J	`jnl`	PWLM Future Gener. Comput. Syst. Feng Tian, Tian Ma, Bo Dong, Qinghua Zheng
2015	—	`conf`	Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning. TrustCom/BigDataSE/ISPA (2) Ni Xue, Huan He, Jun Liu, Qinghua Zheng, Tian Ma, Jianfei Ruan, Bo Dong
2014	—	`conf`	Big Log Analysis for E-Learning Ecosystem. ICEBE Qinghua Zheng, Huan He, Tian Ma, Ni Xue, Bing Li, Bo Dong
2014	J	`jnl`	Performance models and dynamic characteristics analysis for HDFS write and read operations: A systematic view. J. Syst. Softw. Bo Dong, Qinghua Zheng, Feng Tian, Kuo-Ming Chao, Nick Godwin, Tian Ma, Haipeng Xu
2014	B	`conf`	Three-Dimensional Deconvolution of Wide Field Microscopy with Sparse Priors: Application to Zebrafish Imagery. ICPR Bo Dong, Ling Shao, Alejandro F. Frangi, Oliver Bandmann, Marc Da Costa
2012	J	`jnl`	An optimized approach for storing and accessing small files on cloud storage. J. Netw. Comput. Appl. Bo Dong, Qinghua Zheng, Feng Tian, Kuo-Ming Chao, Rui Ma, Rachid Anane
2010	—	`conf`	A Novel Approach to Improving the Efficiency of Storing and Accessing Small Files on Hadoop: A Case Study by PowerPoint Files. IEEE SCC Bo Dong, Jie Qiu, Qinghua Zheng, Xiao Zhong, Jingwei Li, Ying Li
2010	C	`conf`	Correlation Based File Prefetching Approach for Hadoop. CloudCom Bo Dong, Xiao Zhong, Qinghua Zheng, Lirong Jian, Jian Liu, Jie Qiu, Ying Li
2009	B	`conf`	An E-learning Ecosystem Based on Cloud Computing Infrastructure. ICALT Bo Dong, Qinghua Zheng, Jie Yang, Haifei Li, Mu Qiao
2009	C	`conf`	BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing. CloudCom Bo Dong, Qinghua Zheng, Mu Qiao, Jian Shu, Jie Yang
2009	—	`conf`	Hadoop high availability through metadata replication. CloudDB@CIKM Feng Wang, Jie Qiu, Jie Yang, Bo Dong, Xin Hui Li, Ying Li
2009	—	`conf`	Jampots: A Mashup System towards an E-learning Ecosystem. NCM Bo Dong, Qinghua Zheng, Lingzhi Xu, Haifei Li, Jie Yang, Mu Qiao
2008	C	`conf`	A service-oriented approach to integration of e-learning Information and Resource Management Systems. CSCWD Qinghua Zheng, Bo Dong, Feng Tian, Wei Chen