Jian Huang

Artificial Intelligence · with Li · 2018

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Jian Huang trusts overall

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

1. Matthew D. Zeiler
2. Björn Schuller
3. Yusuf Aytar
4. Geoffrey E. Hinton
5. Tadas Baltrusaitis
6. Florian Eyben
7. Tomas Mikolov
8. Yoshua Bengio
9. Ross B. Girshick
10. Alex Krizhevsky

Papers from Jian Huang's perspective

Ordered by how strongly the researchers Jian Huang 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning (2018) — 18 citations
• Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks (2018) — 35 citations