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Tie Bao
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2020 – today
- 2023
- [j11]Beibei Zhu, Tie Bao, Lu Liu, Jiayu Han, Junyi Wang, Tao Peng
:
Cross-lingual knowledge graph entity alignment based on relation awareness and attribute involvement. Appl. Intell. 53(6): 6159-6177 (2023) - [j10]Hai Cui, Tao Peng, Tie Bao, Ridong Han, Jiayu Han, Lu Liu:
Stepwise relation prediction with dynamic reasoning network for multi-hop knowledge graph question answering. Appl. Intell. 53(10): 12340-12354 (2023) - [j9]Yuan Meng
From SATD Recognition to an Interpretation Method Based on the Dataset. Int. J. Softw. Eng. Knowl. Eng. 33(2): 157-180 (2023) - [j8]Beibei Zhu, Tie Bao, Jiayu Han, Ridong Han, Lu Liu, Tao Peng:
Cross-lingual knowledge graph entity alignment by aggregating extensive structures and specific semantics. J. Ambient Intell. Humaniz. Comput. 14(9): 12609-12616 (2023) - [j7]Beibei Zhu, Tie Bao, Kerun Wang, Lu Liu, Jiayu Han, Tao Peng:
A semi-supervised neighborhood matching model for global entity alignment. Neural Comput. Appl. 35(15): 10779-10799 (2023) - [j6]Beibei Zhu, Tie Bao
An effective knowledge graph entity alignment model based on multiple information. Neural Networks 162: 83-98 (2023) - 2022
- [j5]Yubin Qu, Tie Bao, Xiang Chen, Long Li, Xianzhen Dou, Meng Yuan, Hongmei Wang:
Do we need to pay technical debt in blockchain software systems? Connect. Sci. 34(1): 2026-2047 (2022) - [j4]Yuan Meng, Tie Bao:
Towards More Accurate and Complete Heterogeneous Iris Segmentation Using a Hybrid Deep Learning Approach. J. Imaging 8(9): 246 (2022) - 2021
- [j3]Hai Cui, Tao Peng, Lizhou Feng, Tie Bao, Lu Liu:
Simple Question Answering over Knowledge Graph Enhanced by Question Pattern Classification. Knowl. Inf. Syst. 63(10): 2741-2761 (2021) - [c11]Meng Yuan, Tie Bao, Dawei Lin:
Visualization of Convolutional Neural Networks with Attention Mechanism. HCC 2021: 82-93 - 2020
- [j2]Ce Peng, Tie Bao:
An Analysis Method for Interpretability of CNN Text Classification Model. Future Internet 12(12): 228 (2020) - [c10]Ce Peng, Tie Bao, Ming Sun:
New Technology Development and Application Trends Based on Monitoring of Patent Data. HCC 2020: 91-102
2010 – 2019
- 2019
- [c9]Fuwei Zeng, Tie Bao, Wenhao Xiang:
Machine Learning in Short Video APP User Activity Prediction. HCC 2019: 568-575 - 2018
- [c8]Qiang Cui, Shufen Liu, Qifeng Xu, Tie Bao:
Embedded Data Processing Platform Resource Scheduling Research. HCC 2018: 93-99 - 2017
- [c7]Zhenglun Wu, Shufen Liu, Tie Bao:
Research on Meteorological Data Simulation. HCC 2017: 472-480 - 2016
- [j1]Tie Bao, Shufen Liu:
Quality evaluation and analysis for domain software: Application to management information system of power plant. Inf. Softw. Technol. 78: 53-65 (2016) - [c6]Jian Su, Lu Han, Yue Li, Shufen Liu, Zhilin Yao, Tie Bao:
Research on Building and Analysis for Attribute Model in Quality Evaluation of Domain Software. HCC 2016: 752-758 - 2014
- [c5]Wenhe Li, Tie Bao, Lu Han, Shufen Liu, Chen Qu:
Evidence-driven quality evaluation model of collaboration software trustworthiness. CSCWD 2014: 65-70 - [c4]Lingmin Wang, Weifeng Xu, Shufen Liu, Tie Bao:
A Design Method of the General Aviation Flight Plan Management Scheme Based on Quantitative Verification. HCC 2014: 453-464 - 2010
- [c3]Tie Bao, Shufen Liu, Lu Han:
Research on an analysis method for software trustworthiness based on rules. CSCWD 2010: 43-47 - [c2]Ming Qu, Shufen Liu, Tie Bao:
On the Trusted Ontology model for evaluating the Semantic Web Services. CSCWD 2010: 367-372
2000 – 2009
- 2007
- [c1]Tie Bao, Shufen Liu, Feng Yan, Yaorui Wu, Xiaochun Li, Zhanguo Zhang, Shuying Zhang:
Network Data Collection Formal Analysis Based on Communication Sequential Process. CSCWD 2007: 42-46
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