Hang Su
Artificial Intelligence · with Sun · 2012–2021
A researcher in the Science corpus: 4 papers; trusts 252 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
- Computer Vision and Pattern Recognition — 31 citations into it
- Natural Language Processing — 25 citations into it
- Multimodal Learning — 18 citations into it
- Optimization & Training — 12 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Management Science and Operations Research — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Hang Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ross B. Girshick
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Richard Socher
- Yann LeCun
- Karen Simonyan
Who trusts Hang Su overall
Papers from Hang Su's perspective
Ordered by how strongly the researchers Hang Su trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks (2017) — 50 citations
- Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks (2021) — 456 citations
- FLASH: Fast Bayesian Optimization for Data Analytic Pipelines (2016) — 35 citations
- Cross-domain collaboration recommendation (2012) — 344 citations