Haozhan Tang
Graph Learning · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Graph Learning — 25 citations into it
- Molecular Biology — 8 citations into it
Whom Haozhan Tang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aditya Grover
- Geoffrey E. Hinton
- Wen Torng
- Fragkiskos D. Malliaros
- Xin Wei
- Yoshua Bengio
- Diederik P. Kingma
- Federico Monti
- Bryan Perozzi
- Yann LeCun
Papers from Haozhan Tang's perspective
Ordered by how strongly the researchers Haozhan Tang 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images