Yuan Zhang
Artificial Intelligence · Nature Energy · 2014–2021
A researcher in the Science corpus: 11 papers; trusts 108 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 93 citations into it; #14,604 of 35,345 by trust here, #19,018 by citations
- Natural Language Processing — 68 citations into it; #3,019 of 5,688 by trust here, #4,250 by citations
- Computer Vision and Pattern Recognition — 29 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Model Architectures — 9 citations into it
- Prompting & Reasoning — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Information Extraction — 6 citations into it; #296 of 407 by trust here, #338 by citations
Whom Yuan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Yoshua Bengio
- Geoffrey E. Hinton
- Philipp Koehn
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Richard Socher
- Alex Graves
Who trusts Yuan Zhang overall
- Mikel Artetxe
- Antonios Anastasopoulos
- David Alvarez-Melis
- Meng Fang
- Zihan Liu
- Meng Zhang
- Diego Marcheggiani
- Gorka Labaka
- Graham Neubig
- Tommi S. Jaakkola
Papers from Yuan Zhang's perspective
Ordered by how strongly the researchers Yuan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations (2021) — 72 citations
- Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings (2016) — 124 citations
- Controllable Semantic Parsing via Retrieval Augmentation (2021) — 50 citations
- Non-fullerene acceptors with branched side chains and improved molecular packing to exceed 18% efficiency in organic solar cells (2021) — 1,460 citations
- Thermoresponsive polymer-encapsulated hollow mesoporous silica nanoparticles and their application in insecticide delivery (2020) — 176 citations
- The XENON1T dark matter experiment (2017) — 267 citations
- XENON100 dark matter results from a combination of 477 live days (2016) — 148 citations
- DARWIN: towards the ultimate dark matter detector (2016) — 709 citations
- Low-mass dark matter search using ionization signals in XENON100 (2016) — 139 citations
- High-Order Low-Rank Tensors for Semantic Role Labeling (2015) — 50 citations
- Irisin Stimulates Browning of White Adipocytes Through Mitogen-Activated Protein Kinase p38 MAP Kinase and ERK MAP Kinase Signaling (2014) — 718 citations