Haibo He
IEEE Transactions on Power Delivery · with Li · 2006–2015
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Whom Haibo He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Haibo He overall
Papers from Haibo He's perspective
Ordered by how strongly the researchers Haibo He trusts endorse each paper. Same corpus, a different order for every researcher.
- Ten Lectures on Wavelets
- New Support Vector Algorithms
- A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
- Power quality disturbance waveform recognition using wavelet-based neural classifier. I. Theoretical foundation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- This PDF file includes: Materials and Methods
Their papers
- A self-organizing learning array system for power quality classification based on wavelet transform (2006) — 298 citations
- IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015) — 46 citations