Huachun Tan
Computer Vision and Pattern Recognition · 2016–2020
A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 37 citations into it
- Artificial Intelligence — 31 citations into it
- Generative Models — 15 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Optimization & Training — 5 citations into it
Whom Huachun Tan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Kaiming He
- Andrew Y. Ng
- Ilya Sutskever
- Radford M. Neal
- Max Welling
Who trusts Huachun Tan overall
Papers from Huachun Tan's perspective
Ordered by how strongly the researchers Huachun Tan 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)
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering (2016) — 869 citations
- Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle (2020) — 311 citations
- A hybrid deep learning based traffic flow prediction method and its understanding (2018) — 698 citations