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Bin Shi
Publications
- 2024
- [c54]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 - [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 - 2023
- [j43]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) - [j37]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) - [j35]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) - [c52]Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei:
Rethinking Sentiment Analysis under Uncertainty. CIKM 2023: 2775-2784 - [c50]Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng:
CLDG: Contrastive Learning on Dynamic Graphs. ICDE 2023: 696-707 - [c47]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 - 2022
- [j31]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]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) - 2020
- [c35]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 - [c34]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 - [c33]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
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