Zhu Zhang

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 347 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 120 citations into it
• Artificial Intelligence — 69 citations into it
• Generative Models — 56 citations into it
• Multimodal Learning — 44 citations into it
• Natural Language Processing — 27 citations into it
• Large Language Models — 16 citations into it
• Model Architectures — 16 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Zhu Zhang trusts overall

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

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

Who trusts Zhu Zhang overall

1. Ming Ding
2. Peng Wang
3. Lijun Yu

Papers from Zhu Zhang's perspective

Ordered by how strongly the researchers Zhu 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

• M6-UFC: Unifying Multi-Modal Controls for Conditional Image Synthesis via Non-Autoregressive Generative Transformers (2021) — 49 citations
• Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks (2018) — 61 citations
• The Supplementary Material: Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding (2020)
• UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis (2021) — 43 citations