Qingbiao Li
Computer Vision and Pattern Recognition · with Prorok · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 24 citations into it
- Artificial Intelligence — 22 citations into it
- Reinforcement Learning — 8 citations into it
- Aerospace Engineering — 7 citations into it
- Computer Networks and Communications — 7 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Qingbiao Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Silver
- Jur van den Berg
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Stéphane Ross
- Ilya Sutskever
- Guni Sharon
- Jimmy Ba
- Guillaume Sartoretti
Papers from Qingbiao Li's perspective
Ordered by how strongly the researchers Qingbiao Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- 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)
Their papers
- Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning (2020) — 335 citations
- Graph Neural Networks for Decentralized Multi-Robot Path Planning (2019) — 315 citations