Chao Zhang

Artificial Intelligence · with He · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 779 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 168 citations into it
• Computer Vision and Pattern Recognition — 166 citations into it
• Multimodal Learning — 78 citations into it
• Natural Language Processing — 71 citations into it
• Generative Models — 38 citations into it
• Signal Processing — 36 citations into it
• Representation & Self-Supervised Learning — 27 citations into it
• Model Architectures — 21 citations into it

Whom Chao Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yoshua Bengio
5. Ross B. Girshick
6. Ilya Sutskever
7. Diederik P. Kingma
8. Yann LeCun
9. Karen Simonyan
10. Alex Graves

Papers from Chao Zhang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Dian: Duration Informed Auto-Regressive Network for Voice Cloning (2021) — 14 citations
• Improving Prosody Modelling with Cross-Utterance Bert Embeddings for End-to-End Speech Synthesis (2020) — 56 citations
• Multimodal Intelligence: Representation Learning, Information Fusion, and Applications (2019) — 469 citations