Xiang Zhou

Natural Language Processing · with Zhang · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 69 citations into it
• Artificial Intelligence — 62 citations into it
• Evaluation & Benchmarks — 22 citations into it
• Large Language Models — 20 citations into it

Whom Xiang Zhou trusts overall

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

1. Diederik P. Kingma
2. Alec Radford
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Jimmy Ba
7. Chin-Yew Lin
8. Alex Krizhevsky

Papers from Xiang Zhou's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. GENERATIVE ADVERSARIAL NETS
8. GloVe: Global Vectors for Word Representation
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Semantics-aware BERT for Language Understanding (2019) — 401 citations
• Task-specific Objectives of Pre-trained Language Models for Dialogue Adaptation (2020) — 23 citations