Pengxiang Cheng

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Natural Language Processing — 16 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Pengxiang Cheng trusts

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

1. William B. Dolan (in Natural Language Processing)
2. Samuel R. Bowman (in Artificial Intelligence)
3. Chris Brockett (in Natural Language Processing)
4. Rada Mihalcea (in Artificial Intelligence)
5. Carlo Strapparava (in Artificial Intelligence)
6. E. Tjong Kim Sang (in Natural Language Processing)
7. Fien De Meulder (in Natural Language Processing)

Papers from Pengxiang Cheng's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet classification with deep convolutional neural networks
8. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
9. Gradient-based learning applied to document recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Dataless Knowledge Fusion by Merging Weights of Language Models (2022) — 406 citations