Shusheng Yang

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 4 papers; trusts 169 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 258 citations into it
• Computer Vision and Pattern Recognition — 181 citations into it
• Large Language Models — 93 citations into it

Whom Shusheng Yang trusts overall

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

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

Papers from Shusheng Yang's perspective

Ordered by how strongly the researchers Shusheng Yang 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Microsoft COCO: Common Objects in Context

Their papers

• Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities (2023) — 1,892 citations
• Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs (2024) — 900 citations
• Qwen Technical Report (2023) — 4,095 citations
• Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces (2024) — 669 citations