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Yungang Zhu
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2020 – today
- 2024
- [j16]Songzhe Ma, Huimin Lu, Jie Liu, Yungang Zhu, Pengcheng Sang:
LAYN: Lightweight Multi-Scale Attention YOLOv8 Network for Small Object Detection. IEEE Access 12: 29294-29307 (2024) - [j15]Lijun Zhang, Han Zou, Yungang Zhu:
An Efficient Optimization of the Monte Carlo Tree Search Algorithm for Amazons. Algorithms 17(8): 334 (2024) - 2023
- [c4]Ronghao Su, Yungang Zhu:
Learning of Bounded Treewidth Bayesian Networks via A-kg. FSDM 2023: 747-753 - 2021
- [j14]Yan Li, Dayou Liu, Yungang Zhu, Jie Liu:
Differential analysis of gene regulatory networks modeled with structural equation models. J. Ambient Intell. Humaniz. Comput. 12(10): 9181-9192 (2021) - 2020
- [j13]Yan Li, Dayou Liu, Jianfeng Chu, Yungang Zhu, Jie Liu, Xiaochun Cheng:
A Sparse Bayesian Learning Method for Structural Equation Model-Based Gene Regulatory Network Inference. IEEE Access 8: 40067-40080 (2020) - [j12]Yan Li, Dayou Liu, Tengfei Li, Yungang Zhu:
Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations. BMC Bioinform. 21(1): 12 (2020)
2010 – 2019
- 2019
- [j11]Sa Dong, Dayou Liu, Ruochuan Ouyang, Yungang Zhu, Lina Li, Tingting Li, Jie Liu:
Second-Order Markov Assumption Based Bayes Classifier for Networked Data With Heterophily. IEEE Access 7: 34153-34161 (2019) - [j10]Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang:
Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL. IEEE Access 7: 53667-53676 (2019) - [j9]Xinhua Wang, Jihong Ouyang, Yungang Zhu, Haibo Yu, Helong Li:
A Novel Medical Image Edge Detection Method Based on Reinforcement Learning and Ant Colony Optimization. J. Medical Imaging Health Informatics 9(1): 175-182 (2019) - [c3]Siqi Zhang, Tian Li, Yuxin Yang, Ziwei Guo, Yungang Zhu:
Operating Performance Assessment for Smart Electric Meter Based on Improved Evidence Theory. FSDM 2019: 774-779 - 2018
- [j8]Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang:
Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks. IEEE Access 6: 4750-4758 (2018) - 2017
- [j7]Dayou Liu, Yungang Zhu, Ni Ni, Jie Liu:
Ordered proposition fusion based on consistency and uncertainty measurements. Sci. China Inf. Sci. 60(8): 082103:1-082103:19 (2017) - [j6]Yungang Zhu, Hongying Duan, Xinhua Wang, Baokui Zhou, Guodong Wang, Radu Grosu:
Gaussian convex evidence theory for ordered and fuzzy evidence fusion. J. Intell. Fuzzy Syst. 33(5): 2843-2849 (2017) - [j5]Yungang Zhu, Dayou Liu, Radu Grosu, Xinhua Wang, Hongying Duan, Guodong Wang:
A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres. Sensors 17(9): 2049 (2017) - [c2]Guodong Wang, Ramin M. Hasani, Yungang Zhu, Radu Grosu:
A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process. ICIT 2017: 1450-1454 - 2016
- [j4]Dayou Liu, Bo Yang, Shang Gao, Yungang Zhu, Yong Lai:
Intelligent CPSS and its application to health care computing. Sci. China Inf. Sci. 59(5): 050103:1-050103:3 (2016) - 2015
- [j3]Yungang Zhu, Dayou Liu, Yong Li, Xinhua Wang:
Selective and incremental fusion for fuzzy and uncertain data based on probabilistic graphical model. J. Intell. Fuzzy Syst. 29(6): 2397-2403 (2015) - 2014
- [j2]Xuehua Zhao, Daoliang Li, Bo Yang, Chao Ma, Yungang Zhu, Hui-Ling Chen:
Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton. Appl. Soft Comput. 24: 585-596 (2014) - 2013
- [j1]Yungang Zhu, Dayou Liu, Guifen Chen, Haiyang Jia, Helong Yu:
Mathematical modeling for active and dynamic diagnosis of crop diseases based on Bayesian networks and incremental learning. Math. Comput. Model. 58(3-4): 514-523 (2013) - 2011
- [c1]Yuxiao Huang, Haiyang Jia, Yungang Zhu, Dayou Liu:
A factor graph inference algorithm for diagnostic Bayesian networks. ICNC 2011: 486-488
Coauthor Index
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