Haikun Hong

Building and Construction · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Building and Construction — 7 citations into it; #1,493 of 2,909 by trust here, #636 by citations
• Transportation — 6 citations into it

Whom Haikun Hong trusts overall

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

1. Geoffrey E. Hinton
2. Stephen Clark
3. Honglak Lee

Who trusts Haikun Hong overall

1. Matthew Veres
2. Yongxue Tian

Papers from Haikun Hong's perspective

Ordered by how strongly the researchers Haikun Hong trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. This PDF file includes: Materials and Methods
3. A Fast Learning Algorithm for Deep Belief Nets
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Multitask Learning
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. A unified architecture for natural language processing: deep neural networks with multitask learning

Their papers

• Temporal Causal Inference with Time Lag (2018) — 15 citations
• Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014) — 1,046 citations