Jiawei Zhou
Materials Chemistry · 3 papers · 2020–2023
A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 51 citations into it
- Artificial Intelligence — 20 citations into it; #22,779 of 35,345 by trust here, #28,481 by citations
- Civil and Structural Engineering — 20 citations into it
- Natural Language Processing — 18 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it; #14,074 of 21,575 by trust here, #20,756 by citations
Whom Jiawei Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Ilya Sutskever
- Yoshua Bengio
- Barry Haddow
- Geoffrey E. Hinton
- Kyunghyun Cho
- Diederik P. Kingma
- Ashish Vaswani
- Jason Lee
- Dzmitry Bahdanau
Who trusts Jiawei Zhou overall
Papers from Jiawei Zhou's perspective
Ordered by how strongly the researchers Jiawei Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Improving Non-autoregressive Neural Machine Translation with Monolingual Data (2020) — 28 citations
- Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human Solutions (2023) — 400 citations
- Phonon-engineered extreme thermal conductivity materials (2021) — 655 citations