Nian Li

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 151 citations into it
• Information Systems — 71 citations into it
• Recommender Systems — 19 citations into it

Whom Nian Li trusts overall

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

1. Xiangnan He
2. Steffen Rendle
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Xiang Wang
6. Diederik P. Kingma
7. Yehuda Koren
8. Alex Krizhevsky
9. Sepp Hochreiter
10. Tomas Mikolov

Papers from Nian Li's perspective

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

Their papers

• Large language models empowered agent-based modeling and simulation: a survey and perspectives (2023) — 471 citations
• A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions (2021) — 789 citations