Hu Xu

Artificial Intelligence · with Huang · 2021–2023

A researcher in the Science corpus: 6 papers; trusts 422 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 243 citations into it
• Computer Vision and Pattern Recognition — 243 citations into it
• Natural Language Processing — 92 citations into it
• Representation & Self-Supervised Learning — 83 citations into it
• Multimodal Learning — 67 citations into it
• Evaluation & Benchmarks — 58 citations into it
• Large Language Models — 50 citations into it
• Model Architectures — 30 citations into it

Whom Hu Xu trusts overall

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

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

Who trusts Hu Xu overall

1. Yi Wang
2. Junting Pan
3. Yuying Ge
4. Fei Zhao
5. Junbin Xiao
6. Dongxu Li
7. Shuhuai Ren
8. Jiayang Wu
9. Weixin Liang
10. Beichen Zhang

Papers from Hu Xu's perspective

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

Their papers

• DINOv2: Learning Robust Visual Features without Supervision (2023) — 9,372 citations
• VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding (2021) — 814 citations
• CM3: A Causal Masked Multimodal Model of the Internet (2022) — 180 citations
• VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding (2021) — 158 citations
• HTLM: Hyper-Text Pre-Training and Prompting of Language Models (2021) — 83 citations
• Masked Autoencoders that Listen (2022) — 474 citations