Wenyi Hong
Computer Vision and Pattern Recognition · 2021–2024
A researcher in the Science corpus: 7 papers; trusts 270 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 219 citations into it; #13,886 of 21,575 by trust here, #2,625 by citations
- Artificial Intelligence — 158 citations into it
- Generative Models — 62 citations into it; #1,546 of 1,956 by trust here, #375 by citations
- Model Architectures — 22 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Signal Processing — 8 citations into it
Whom Wenyi Hong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Ilya Sutskever
- Yann LeCun
- Aäron van den Oord
- Oriol Vinyals
- Karen Simonyan
Who trusts Wenyi Hong overall
- Songwei Ge
- Lijun Yu
- Duygu Ceylan
- Yin-Yin He
- Patrick Esser
- Alex Nichol
- Yabo Zhang
- Shengqiong Wu
- Agrim Gupta
- Uriel Singer
Papers from Wenyi Hong's perspective
Ordered by how strongly the researchers Wenyi Hong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- CogView: Mastering Text-to-Image Generation via Transformers (2021) — 1,011 citations
- CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers (2022) — 1,140 citations
- CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers (2022) — 425 citations
- CogVLM: Visual Expert for Pretrained Language Models (2023) — 827 citations
- CogAgent: A Visual Language Model for GUI Agents (2023) — 804 citations
- CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer (2024) — 2,147 citations
- LVBench: An Extreme Long Video Understanding Benchmark (2024) — 399 citations