Jidong Zhai
Artificial Intelligence · 2021–2025
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 157 citations into it
- Large Language Models — 70 citations into it
- Computer Vision and Pattern Recognition — 60 citations into it
Whom Jidong Zhai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Noam Shazeer
- Geoffrey E. Hinton
- Samyam Rajbhandari
- Yoshua Bengio
- Diederik P. Kingma
- Ashish Vaswani
- Alexander Sergeev
- Ilya Sutskever
- Jacob Devlin
- Alex Krizhevsky
Papers from Jidong Zhai's perspective
Ordered by how strongly the researchers Jidong Zhai trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Language Models are Unsupervised Multitask Learners
- Layer Normalization
- ImageNet: A large-scale hierarchical image database
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
Their papers
- GLM-130B: An Open Bilingual Pre-trained Model (2022) — 1,288 citations
- FastMoE: A Fast Mixture-of-Expert Training System (2021) — 148 citations
- GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models (2025) — 393 citations
- FasterMoE: modeling and optimizing training of large-scale dynamic pre-trained models (2022) — 157 citations