Jilong Xue

Artificial Intelligence · 2019–2024

A researcher in the Science corpus: 5 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 92 citations into it
• Graph Learning — 17 citations into it

Whom Jilong Xue trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Kaiming He
7. Jimmy Ba
8. Ilya Sutskever
9. Max Welling
10. Alex Graves

Papers from Jilong Xue's perspective

Ordered by how strongly the researchers Jilong Xue trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Layer Normalization
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits (2024) — 424 citations
• Retentive Network: A Successor to Transformer for Large Language Models (2023) — 719 citations
• Dense-to-Sparse Gate for Mixture-of-Experts (2021) — 36 citations
• Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks (2020) — 200 citations
• NeuGraph: Parallel Deep Neural Network Computation on Large Graphs (2019) — 299 citations