Heda Song

Data-Driven Nonlinear Subspace Modeling for Prediction and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

Ping Zhou, Heda Song, Hong Wang et al. · IEEE Transactions on Control Systems Technology · 2016 · 123 citations

Nonlinear System Identification, Engineering, Data Science +13

Node-Feature Convolution for Graph Convolutional Networks

Li Zhang, Heda Song, Haiping Lu · Pattern Recognition · 2022 · 52 citations · Full text

Node-feature Convolution, Geometric Learning, Convolutional Neural Network +15

Data‐driven recursive subspace identification based online modelling for prediction and control of molten iron quality in blast furnace ironmaking

Ping Zhou, Peng Dai, Heda Song et al. · IET Control Theory and Applications · 2017 · 42 citations

Engineering, Machine Learning, Industrial Engineering +23

A fusion spatial attention approach for few-shot learning

Heda Song, Bowen Deng, Michael P. Pound et al. · Information Fusion · 2021 · 24 citations · Full text

Few-shot Learning, Machine Vision, Image Analysis +6

Multivariable Dynamic Modeling for Molten Iron Quality Using Incremental Random Vector Functional-link Networks

Li Zhang, Ping Zhou, Heda Song et al. · Journal of Iron and Steel Research International · 2016 · 11 citations

Engineering, Multivariable Dynamic Modeling, Physic Aware Machine Learning +5