Ruohai Di

18 papers C 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A highly deterministic defect detection method for high-resolution weld based on deep learning and entropy quantization theory.
Eng. Appl. Artif. Intell.
Liangliang Li, Peng Wang, Zhigang Lü, Ruohai Di, Mengyu Sun, Xueren Wang, Bin Wang
2026 J jnl
MFE-YOLO: A Multi-Scale Feature Enhanced Network for PCB Defect Detection with Cross-Group Attention and FIoU Loss.
Entropy
Ruohai Di, Hao Fan, Hanxiao Feng, Zhigang Lv, Lei Shu, Rui Xie, Ruoyu Qian
2025 J jnl
A defect severity assessment method based on empirical feature attribute scoring from semantic segmentation data for reliability analysis of steel structure connections.
Adv. Eng. Informatics
Liangliang Li, Peng Wang, Zhigang Lü, Ruohai Di, Chuchao He, Leiguang Duan, Guanqun Wang, Xiaoyan Li
2025 J jnl
GAME-YOLO: Global Attention and Multi-Scale Enhancement for Low-Visibility UAV Detection with Sub-Pixel Localization.
Entropy
Ruohai Di, Hao Fan, Yuanzheng Ma, Jinqiang Wang, Ruoyu Qian
2024 J jnl
A novel structure learning method of Bayesian networks based on the neighboring complete node ordering search.
Neurocomputing
Chuchao He, Peng Wang, Linyu Tian, Ruohai Di, Zidong Wang, Yu Yang
2024 J jnl
Bayesian network structure learning by dynamic programming algorithm based on node block sequence constraints.
CAAI Trans. Intell. Technol.
Chuchao He, Ruohai Di, Bo Li, Evgeny Neretin
2024 J jnl
Synthetic data augmentation for high-resolution X-ray welding defect detection and classification based on a small number of real samples.
Eng. Appl. Artif. Intell.
Liangliang Li, Peng Wang, Jia Ren, Zhigang Lü, Xiaoyan Li, Hui Gao, Ruohai Di
2023 J jnl
A novel virtual sample generation method to improve the quality of data and the accuracy of data-driven models.
Neurocomputing
Zhiwen Chen, Zhigang Lv, Ruohai Di, Peng Wang, Xiaoyan Li, Xiaojing Sun, Yuntao Xu
2023 J jnl
GRM: Gaussian response module for visual tracking.
Displays
Mengyu Sun, Peng Wang, Junqi Xu, Xiaoyan Li, Ruohai Di
2023 J jnl
Robust adaptive enhancement algorithm for multi-modal high grayscale image displaying on low-bit monitors based on HIS and priori knowledge.
Displays
Liangliang Li, Peng Wang, Jia Ren, Zhigang Lü, Ruohai Di, Xiaoyan Li, Hui Gao
2022 J jnl
A Dynamic Programming Bayesian Network Structure Learning Algorithm Based on Mutual Information.
J. Circuits Syst. Comput.
Zhigang Lv, Ye Li, Ruohai Di, Hongxi Wang, Liangliang Li, Peng Wang, Xiaoyan Li
2022 J jnl
A Novel Qualitative Maximum a Posteriori Estimation for Bayesian Network Parameters Based on Computing the Center Point of Constrained Parameter Regions.
IEEE Access
Ruohai Di, Peng Wang, Jiao Wu, Zhigao Guo
2022 J jnl
Dynamic Programming BN Structure Learning Algorithm Integrating Double Constraints under Small Sample Condition.
Entropy
Zhigang Lv, Yiwei Chen, Ruohai Di, Hongxi Wang, Xiaojing Sun, Chuchao He, Xiaoyan Li
2021 J jnl
Constrained Adjusted Maximum a Posteriori Estimation of Bayesian Network Parameters.
Entropy
Ruohai Di, Peng Wang, Chuchao He, Zhigao Guo
2021 J jnl
Multi-feature fusion tracking algorithm based on generative compression network.
Future Gener. Comput. Syst.
Peng Wang, Huitong Fu, Xiaoyan Li, Jian Guo, Zhigang Lv, Ruohai Di
2020 — conf
Fault Diagnosis Algorithm of Integrated Navigation Based on D-S Evidence Theory Fuses Neural Network.
ICITEE
Xianli Hong, Yongxia Yang, Peng Wang, Yihan Zhao, Ruohai Di, Mianmian Dong
2017 — conf
Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data.
AMBN
Zhigao Guo, Xiaoguang Gao, Ruohai Di
2014 C conf
DBN structure learning based on MI-BPSO algorithm.
ICIS
Guoliang Li, Xiaoguang Gao, Ruohai Di