Sijie Cheng

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Reinforcement Learning — 10 citations into it

Whom Sijie Cheng trusts overall

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

1. Sergey Levine
2. Jan Peters
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Alex Krizhevsky
7. Richard S. Sutton
8. Ilya Sutskever
9. Stefan Schaal
10. Yann LeCun

Who trusts Sijie Cheng overall

1. Yu Meng

Papers from Sijie Cheng's perspective

Ordered by how strongly the researchers Sijie Cheng 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• OpenChat: Advancing Open-source Language Models with Mixed-Quality Data (2023) — 340 citations