Bowei Dong
Biomedical Engineering · 2019–2021
A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 287 citations into it
- Polymers and Plastics — 154 citations into it
- Electronic, Optical and Magnetic Materials — 93 citations into it
- Cognitive Neuroscience — 91 citations into it
- Mechanical Engineering — 66 citations into it
Whom Bowei Dong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhong Lin Wang
- Kaiming He
- Antonio Torralba
- Qiongfeng Shi
- Yiran Yang
- Tianyiyi He
- Kai Dong
- Song-Mi Lee
Papers from Bowei Dong's perspective
Ordered by how strongly the researchers Bowei Dong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications (2020) — 362 citations
- Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem (2020) — 297 citations
- Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things (2020) — 539 citations
- Mid-infrared semimetal polarization detectors with configurable polarity transition (2021) — 186 citations
- Leveraging of MEMS Technologies for Optical Metamaterials Applications (2019) — 183 citations
- Development Trends and Perspectives of Future Sensors and MEMS/NEMS (2019) — 402 citations