Zhenghua Chen
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 65 citations into it
- Control and Systems Engineering — 55 citations into it
- Computer Vision and Pattern Recognition — 41 citations into it
- Mechanical Engineering — 28 citations into it
- Model Architectures — 21 citations into it
- Industrial and Manufacturing Engineering — 17 citations into it
- Mechanics of Materials — 17 citations into it
- Natural Language Processing — 13 citations into it
Whom Zhenghua Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Jimmy Ba
- Yann LeCun
- Ronan Collobert
- Alex Krizhevsky
- Ilya Sutskever
- Sepp Hochreiter
- Kaiming He
Who trusts Zhenghua Chen overall
Papers from Zhenghua Chen's perspective
Ordered by how strongly the researchers Zhenghua Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Building occupancy estimation and detection: A review (2018) — 259 citations
- WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM (2019) — 444 citations
- An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG (2021) — 535 citations
- Time-Series Representation Learning via Temporal and Contextual Contrasting (2021) — 834 citations
- Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach (2021) — 521 citations
- Deep learning and its applications to machine health monitoring (2019) — 2,506 citations
- A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems (2019) — 458 citations
- Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization (2015) — 393 citations