Wendi Zheng

Artificial Intelligence · with Ding · 2022–2024

A researcher in the Science corpus: 4 papers; trusts 209 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 140 citations into it
• Computer Vision and Pattern Recognition — 126 citations into it; #20,894 of 21,575 by trust here, #3,538 by citations
• Generative Models — 45 citations into it; #1,911 of 1,956 by trust here, #684 by citations
• Multimodal Learning — 21 citations into it; #1,147 of 1,211 by trust here, #520 by citations
• Representation & Self-Supervised Learning — 9 citations into it
• Signal Processing — 5 citations into it

Whom Wendi Zheng trusts overall

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

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

Who trusts Wendi Zheng overall

1. Jing Yu Koh
2. Uriel Singer
3. Daquan Zhou
4. Jing Shi
5. Hu Ye
6. Shaoteng Liu
7. Songwei Ge
8. Wenyi Hong
9. Yabo Zhang

Papers from Wendi Zheng's perspective

Ordered by how strongly the researchers Wendi Zheng 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers (2022) — 1,140 citations
• GLM-130B: An Open Bilingual Pre-trained Model (2022) — 1,288 citations
• CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers (2022) — 425 citations
• CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer (2024) — 2,147 citations