Wei Wei

Artificial Intelligence · Web Search and Data Mining · 2023

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it
• Information Systems — 50 citations into it

Whom Wei Wei trusts overall

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

1. Xiang Wang
2. Xiangnan He
3. Kaiming He
4. Yin-wei Wei
5. Steffen Rendle
6. Ruining He
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Diederik P. Kingma
10. Alex Krizhevsky

Who trusts Wei Wei overall

1. Yupeng Hou

Papers from Wei Wei's perspective

Ordered by how strongly the researchers Wei Wei 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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• GraphGPT: Graph Instruction Tuning for Large Language Models (2023) — 364 citations
• Representation Learning with Large Language Models for Recommendation (2023) — 427 citations
• LLMRec: Large Language Models with Graph Augmentation for Recommendation (2023) — 451 citations