个人信息
Personal information
教师英文名称：Wanghongbing
职称：教授
硕士生导师
博士生导师
学科：计算机应用技术
学历：研究生
学位：博士
所在单位：计算机与通信工程学院
职务：信息基础科学系主任
电子邮箱：
办公地点：机电楼403/419
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- [1] Prediction model of the end-point carbon content in BOF by constructing the graph of heats.ISIJ International,
- [2] dmPINNs: An Integrated Data-Driven and Mechanism-Based Method for Endpoint Carbon Prediction in BOF.Metals,2024,(14):
- [3] Defects detection in weld joints based on visual attention and deep learning.NDT & E,2023,(133):
- [4] Defect Detection for Wear Debris Based on Few-Shot Contrastive Learning.Applied sciences,2022,(12):
- [5] MFSR: Light Field Images Spatial Super Resolution Model Integrated with Multiple Features.Electronics,2023,(12):
- [6] Recognition of Plate Identification Numbers Using Convolution Neural Network and Character Distribution Rules.ISIJ International,2019,59(11):2044-2051.
- [7] Weld Defect Cascaded Detection Model Based on Bidirectional Multi-scale Feature Fusion and Shape Pre-classification.ISIJ International,2022,62(7):1485-1492.
- [8] Heat transfer performances of honeycomb regenerators with square or hexagon cell opening.Applied Thermal Engineering,2018,(125):790-798.
- [9] Prediction of endpoint phosphorus content of molten steel in BOF using weighted K-Means and GMDH neural network.Journal of Iron and Steel Research International,2012,19(1):11-16.
- [10] A two-step case-based reasoning method based on attributes reduction for predicting the endpoint phosphorus content.ISIJ International,2015,55(5):1035-1043.