Ziyang Luo

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 4 papers; trusts 365 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 152 citations into it
• Computer Vision and Pattern Recognition — 121 citations into it
• Natural Language Processing — 56 citations into it
• Multimodal Learning — 55 citations into it
• Large Language Models — 54 citations into it
• Evaluation & Benchmarks — 33 citations into it
• Representation & Self-Supervised Learning — 23 citations into it
• Model Architectures — 14 citations into it

Whom Ziyang Luo trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Jimmy Ba
7. Ilya Sutskever
8. Yann LeCun
9. Richard Socher
10. Tomas Mikolov

Who trusts Ziyang Luo overall

1. Jia Li
2. Chun Xia
3. Shawn Shan
4. Jiawei Liu
5. Kechi Zhang
6. Le Yu
7. Tim Dettmers
8. Mingjie Sun
9. Olga Kovaleva
10. Fengji Zhang

Papers from Ziyang Luo's perspective

Ordered by how strongly the researchers Ziyang Luo 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Positional Artefacts Propagate Through Masked Language Model Embeddings (2020) — 46 citations
• WizardCoder: Empowering Code Large Language Models with Evol-Instruct (2023) — 1,012 citations
• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs (2024) — 817 citations
• VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training (2022) — 22 citations