Mengjie Huang
Control and Systems Engineering · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 29 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Mechanics of Materials — 9 citations into it
Whom Mengjie Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mengjie Huang's perspective
Ordered by how strongly the researchers Mengjie Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
- A Survey on Transfer Learning
- 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
- Unsupervised Domain Adaptation by Backpropagation
- Deep Domain Confusion: Maximizing for Domain Invariance
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Deep Model Based Domain Adaptation for Fault Diagnosis (IEEE transactions on industrial electronics (1982. Print))
Their papers
- Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016 (2023) — 513 citations
- A review on transfer learning in EEG signal analysis (2021) — 432 citations