Xiaojiang Chen
Computer Vision and Pattern Recognition · 2016–2021
A researcher in the Science corpus: 5 papers; trusts 614 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 240 citations into it
- Artificial Intelligence — 232 citations into it
- Model Architectures — 53 citations into it
- Neural Architecture Search & AutoML — 49 citations into it
- Natural Language Processing — 36 citations into it
- Electrical and Electronic Engineering — 29 citations into it
- Optimization & Training — 27 citations into it
- Evaluation & Benchmarks — 25 citations into it
Whom Xiaojiang Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Karen Simonyan
- Ross B. Girshick
- Christian Szegedy
Papers from Xiaojiang Chen's perspective
Ordered by how strongly the researchers Xiaojiang Chen 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- PLoRa: a passive long-range data network from ambient LoRa transmissions (2018) — 333 citations
- LiFS: low human-effort, device-free localization with fine-grained subcarrier information (2016) — 303 citations
- A Comprehensive Survey of Scene Graphs: Generation and Application (2021) — 341 citations
- A Comprehensive Survey of Neural Architecture Search (2020) — 868 citations
- A Survey of Deep Active Learning (2020) — 1,521 citations