Zhiliang Peng

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 6 papers; trusts 606 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 246 citations into it; #14,628 of 21,575 by trust here, #3,713 by citations
• Artificial Intelligence — 212 citations into it; #23,363 of 35,345 by trust here, #4,888 by citations
• Multimodal Learning — 95 citations into it
• Model Architectures — 66 citations into it
• Natural Language Processing — 45 citations into it
• Representation & Self-Supervised Learning — 26 citations into it
• Optimization & Training — 19 citations into it

Whom Zhiliang Peng trusts overall

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

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

Who trusts Zhiliang Peng overall

1. Zhe Chen
2. Li Dong
3. Yuxin Fang
4. Jiasen Lu
5. Shuming Ma
6. Hongyu Wang
7. Qiming Zhang
8. Yuxin Fang
9. Jinze Bai
10. Shaohan Huang

Papers from Zhiliang Peng's perspective

Ordered by how strongly the researchers Zhiliang Peng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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

• Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks (2022) — 724 citations
• Kosmos-2: Grounding Multimodal Large Language Models to the World (2023) — 1,249 citations
• BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers (2022) — 439 citations
• Conformer: Local Features Coupling Global Representations for Visual Recognition (2021) — 757 citations
• Foundation Transformers (2022) — 30 citations
• Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks (2023) — 533 citations