A factor graph inference algorithm for diagnostic Bayesian networks. - Yuxiao Huang; Haiyang Jia; Yungang Zhu; Dayou Liu (ICNC, 2011)

Mathematical modeling for active and dynamic diagnosis of crop diseases based on Bayesian networks and incremental learning. - Yungang Zhu; Dayou Liu; Guifen Chen; Haiyang Jia; Helong Yu (Math. Comput. Model., 2013)

Feature selection based on improved ant colony optimization for online detection of foreign fiber in cotton. - Xuehua Zhao; Daoliang Li; Bo Yang 002; Chao Ma 021; Yungang Zhu; Hui-Ling Chen 001 (Appl. Soft Comput., 2014)

Selective and incremental fusion for fuzzy and uncertain data based on probabilistic graphical model. - Yungang Zhu; Dayou Liu; Yong Li; Xinhua Wang (J. Intell. Fuzzy Syst., 2015)

Intelligent CPSS and its application to health care computing. - Dayou Liu; Bo Yang 002; Shang Gao 005; Yungang Zhu; Yong Lai 001 (Sci. China Inf. Sci., 2016)

A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process. - Guodong Wang 005; Ramin M. Hasani; Yungang Zhu; Radu Grosu (ICIT, 2017)

Ordered proposition fusion based on consistency and uncertainty measurements. - Dayou Liu; Yungang Zhu; Ni Ni; Jie Liu 014 (Sci. China Inf. Sci., 2017)

Gaussian convex evidence theory for ordered and fuzzy evidence fusion. - Yungang Zhu; Hongying Duan; Xinhua Wang; Baokui Zhou; Guodong Wang 005; Radu Grosu (J. Intell. Fuzzy Syst., 2017)

A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres. - Yungang Zhu; Dayou Liu; Radu Grosu; Xinhua Wang; Hongying Duan; Guodong Wang 005 (Sensors, 2017)

Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks. - Shuqiu Ping; Dayou Liu; Bo Yang 002; Yungang Zhu; Hechang Chen; Zheng Wang (IEEE Access, 2018)

Operating Performance Assessment for Smart Electric Meter Based on Improved Evidence Theory. - Siqi Zhang; Tian Li; Yuxin Yang; Ziwei Guo; Yungang Zhu (FSDM, 2019)

Second-Order Markov Assumption Based Bayes Classifier for Networked Data With Heterophily. - Sa Dong; Dayou Liu; Ruochuan Ouyang; Yungang Zhu; Lina Li; Tingting Li; Jie Liu 014 (IEEE Access, 2019)

Community Detection in Signed Networks Based on the Signed Stochastic Block Model and Exact ICL. - Shuqiu Ping; Dayou Liu; Bo Yang 002; Yungang Zhu; Hechang Chen; Zheng Wang (IEEE Access, 2019)

A Novel Medical Image Edge Detection Method Based on Reinforcement Learning and Ant Colony Optimization. - Xinhua Wang; Jihong Ouyang; Yungang Zhu; Haibo Yu; Helong Li (J. Medical Imaging Health Informatics, 2019)

A Sparse Bayesian Learning Method for Structural Equation Model-Based Gene Regulatory Network Inference. - Yan Li 061; Dayou Liu; Jianfeng Chu; Yungang Zhu; Jie Liu 014; Xiaochun Cheng (IEEE Access, 2020)

Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations. - Yan Li 061; Dayou Liu; Tengfei Li 004; Yungang Zhu (BMC Bioinform., 2020)

Differential analysis of gene regulatory networks modeled with structural equation models. - Yan Li 061; Dayou Liu; Yungang Zhu; Jie Liu 014 (J. Ambient Intell. Humaniz. Comput., 2021)

Learning of Bounded Treewidth Bayesian Networks via A-kg. - Ronghao Su; Yungang Zhu (FSDM, 2023)

LAYN: Lightweight Multi-Scale Attention YOLOv8 Network for Small Object Detection. - Songzhe Ma; Huimin Lu 004; Jie Liu; Yungang Zhu; Pengcheng Sang (IEEE Access, 2024)

An Efficient Optimization of the Monte Carlo Tree Search Algorithm for Amazons. - Lijun Zhang 018; Han Zou; Yungang Zhu (Algorithms, 2024)

Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions. - Tianhao Ma; Han Chen; Juncheng Hu; Yungang Zhu; Ximing Li (CVPR, 2025)