Wenxuan Zhang

Artificial Intelligence · Conference on Empirical Methods in Natural Language Processing · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 160 citations into it
• Natural Language Processing — 70 citations into it
• Large Language Models — 28 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Model Architectures — 14 citations into it
• Information Systems — 10 citations into it

Whom Wenxuan Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Maria Pontiki
3. Yoshua Bengio
4. Diederik P. Kingma
5. Ilya Sutskever
6. Yann LeCun
7. Richard Socher
8. Alex Krizhevsky
9. Kaiming He
10. Xin Li

Who trusts Wenxuan Zhang overall

1. Yue Deng

Papers from Wenxuan Zhang's perspective

Ordered by how strongly the researchers Wenxuan Zhang 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Sentiment Analysis in the Era of Large Language Models: A Reality Check (2023) — 629 citations
• A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges (2022) — 425 citations
• Aspect Sentiment Quad Prediction as Paraphrase Generation (2021) — 298 citations
• Exploiting BERT for End-to-End Aspect-based Sentiment Analysis (2019) — 322 citations