Hao Yi Ong
Artificial Intelligence · 2015
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it; #28,981 of 35,345 by trust here, #33,294 by citations
- Reinforcement Learning — 12 citations into it; #1,910 of 2,242 by trust here, #2,201 by citations
- Computer Vision and Pattern Recognition — 11 citations into it; #17,861 of 21,575 by trust here, #20,271 by citations
- Computational Mechanics — 10 citations into it
- Optimization & Training — 8 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
- Signal Processing — 5 citations into it
Whom Hao Yi Ong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhouchen Lin
- E.J. Candes
- Simon Justin Julier
- Xiaoming Yuan
- Richard S. Sutton
- Shiqian Ma
- B. Recht
- Stanley J. Osher
- Jeff Bezanson
- Donald Goldfarb
Who trusts Hao Yi Ong overall
Papers from Hao Yi Ong's perspective
Ordered by how strongly the researchers Hao Yi Ong trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Distributed Deep Q-Learning (2015) — 74 citations
- Value function approximation via low-rank models (2015) — 21 citations