Jun Zhao

Artificial Intelligence · with Huang · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Natural Language Processing — 27 citations into it
• Large Language Models — 14 citations into it

Whom Jun Zhao trusts overall

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

1. Alec Radford
2. Mandar Joshi
3. Yu Sun

Papers from Jun Zhao's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Efficient Estimation of Word Representations in Vector Space
8. Improving Language Understanding by Generative Pre-Training
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Robustly Optimized BERT Pre-training Approach with Post-training (2021) — 729 citations
• FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining (2020) — 306 citations