Jeremy Heng Meng Wong

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #20,973 of 35,345 by trust here, #25,809 by citations
• Signal Processing — 7 citations into it

Whom Jeremy Heng Meng Wong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Leo Breiman
2. Thomas G. Dietterich
3. Yoav Freund
4. Geoffrey E. Hinton
5. Jinyu Li
6. Robert E. Schapire
7. Oriol Vinyals
8. Daniel Povey
9. Yoshua Bengio
10. Rui Zhao

Who trusts Jeremy Heng Meng Wong overall

1. Guoli Ye
2. Mingkun Huang
3. Felix Stahlberg
4. Jinyu Li
5. Vadim Mazalov
6. Yongbin You
7. Dong Yu
8. Jia Cui
9. Raymond W. M. Ng
10. Shweta Bhardwaj

Papers from Jeremy Heng Meng Wong's perspective

Ordered by how strongly the researchers Jeremy Heng Meng Wong trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Sequence Student-Teacher Training of Deep Neural Networks (2016) — 96 citations