Jiawei Zhao

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Optimization & Training — 18 citations into it

Whom Jiawei Zhao trusts overall

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

1. Noam Shazeer
2. Diederik P. Kingma
3. Zeyuan Allen-Zhu
4. Geoffrey E. Hinton
5. Martin A. Riedmiller
6. Jimmy Ba
7. Alex Krizhevsky
8. Yoshua Bengio
9. Lukas Balles
10. Ilya Loshchilov

Who trusts Jiawei Zhao overall

1. Hanlin Tang
2. Felix Sattler
3. Xiangru Lian
4. Lingjuan Lyu
5. Simon Wiedemann
6. Tong Zhang
7. K. Müller
8. Han Yu

Papers from Jiawei Zhao's perspective

Ordered by how strongly the researchers Jiawei Zhao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection (2024) — 500 citations
• signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant (2018) — 50 citations