Jun He
Artificial Intelligence · with Balzano · 2012–2021
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it
- Natural Language Processing — 13 citations into it
- Civil and Structural Engineering — 12 citations into it
- Computational Mechanics — 5 citations into it; #6,569 of 10,001 by trust here, #7,173 by citations
Whom Jun He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Thorsten Joachims
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- Yoon Kim
- Richard S. Sutton
- E.J. Candes
- Tomas Mikolov
- Jimmy Ba
Who trusts Jun He overall
- Thierry Bouwmans
- Namrata Vaswani
- Ricardo Silveira Cabral
- Armen Aghajanyan
- Sajid Javed
- Fernando De la Torre
- Andrews Cordolino Sobral
- Praneeth Narayanamurthy
- Alexander Rainer Tassilo Gepperth
Papers from Jun He's perspective
Ordered by how strongly the researchers Jun He 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Long Document Classification From Local Word Glimpses via Recurrent Attention Learning (2019) — 49 citations
- Flexural and cracking behaviors of reinforced UHPC beams with various reinforcement ratios and fiber contents (2021) — 161 citations
- Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video (2012) — 391 citations