Xubin Ren

Artificial Intelligence · 2023

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 70 citations into it
• Information Systems — 60 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Management Science and Operations Research — 11 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Information Retrieval & Search — 5 citations into it

Whom Xubin Ren trusts overall

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

1. Xiang Wang
2. Xiangnan He
3. Junliang Yu
4. Yehuda Koren
5. Geoffrey E. Hinton
6. Kaiming He
7. A. van den Oord
8. Yoshua Bengio
9. Diederik P. Kingma
10. Alex Krizhevsky

Who trusts Xubin Ren overall

1. Yupeng Hou
2. Junjie Zhang

Papers from Xubin Ren's perspective

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

Their papers

• LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation (2023) — 395 citations
• Representation Learning with Large Language Models for Recommendation (2023) — 427 citations
• LLMRec: Large Language Models with Graph Augmentation for Recommendation (2023) — 451 citations