Hongyu Lu

Artificial Intelligence · 2023

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it
• Information Systems — 53 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Hongyu Lu trusts overall

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

1. Wang-Cheng Kang
2. Julian McAuley
3. Jiaxi Tang
4. Steffen Rendle
5. Jacob Devlin
6. Ruining He
7. Yupeng Hou
8. Geoffrey E. Hinton
9. Kun Zhou
10. Marco Cuturi

Papers from Hongyu Lu's perspective

Ordered by how strongly the researchers Hongyu Lu 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation (2023) — 366 citations
• Large Language Models are Zero-Shot Rankers for Recommender Systems (2023) — 576 citations