Xing Wang
Artificial Intelligence · with Tu · 2018–2023
A researcher in the Science corpus: 6 papers; trusts 98 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 113 citations into it; #24,697 of 35,345 by trust here, #11,750 by citations
- Natural Language Processing — 82 citations into it
- Computer Vision and Pattern Recognition — 50 citations into it; #15,230 of 21,575 by trust here, #9,435 by citations
- Model Architectures — 24 citations into it; #1,645 of 2,278 by trust here, #2,009 by citations
- Evaluation & Benchmarks — 18 citations into it
Whom Xing Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Kaiming He
- Dzmitry Bahdanau
- Jimmy Ba
- Kyunghyun Cho
- Diederik P. Kingma
- Alex Krizhevsky
- Ashish Vaswani
Who trusts Xing Wang overall
Papers from Xing Wang's perspective
Ordered by how strongly the researchers Xing Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate (2023) — 1,247 citations
- Modeling Recurrence for Transformer (2019) — 87 citations
- Exploiting Deep Representations for Neural Machine Translation (2018) — 96 citations
- Towards Understanding Neural Machine Translation with Word Importance (2019) — 45 citations
- Is ChatGPT A Good Translator? A Preliminary Study (2023) — 438 citations
- Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine (2023) — 408 citations