Zekai Chen

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Natural Language Processing — 10 citations into it
• Large Language Models — 7 citations into it

Whom Zekai Chen trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Jacob Devlin
5. Christian Szegedy
6. Alex Krizhevsky
7. Ashish Vaswani
8. Ilya Sutskever
9. Kaiming He
10. Yann LeCun

Who trusts Zekai Chen overall

1. Zhenwen Liang
2. Qingsong Wen
3. Jiehui Xu
4. Kukjin Choi
5. Ming Jin
6. Jipeng Zhang
7. Zabir Al Nazi
8. Tian Zhou
9. Haixu Wu

Papers from Zekai Chen's perspective

Ordered by how strongly the researchers Zekai Chen 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Language Models are Few-shot Learners for Prognostic Prediction (2023) — 111 citations
• Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT (2021) — 541 citations