Weishi Wang
Information Systems · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 51 citations into it; #5,130 of 8,771 by trust here, #1,265 by citations
- Artificial Intelligence — 50 citations into it; #21,566 of 35,345 by trust here, #9,465 by citations
- Natural Language Processing — 42 citations into it; #3,909 of 5,688 by trust here, #2,220 by citations
- Large Language Models — 20 citations into it
- Evaluation & Benchmarks — 18 citations into it
Whom Weishi Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alec Radford
- Chin-Yew Lin
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Rico Sennrich
- Ilya Sutskever
- Ashish Vaswani
- Daya Guo
- Alex Krizhevsky
Who trusts Weishi Wang overall
- Chun Xia
- Yichen Xu
- Hung Le
- Yue Wang
- Disha Shrivastava
- Frank F. Xu
- Daya Guo
- Jiawei Liu
- Yinlin Deng
- Yizheng Chen
Papers from Weishi Wang's perspective
Ordered by how strongly the researchers Weishi Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Language Models are Unsupervised Multitask Learners
- ImageNet: A large-scale hierarchical image database