Zijian Wang
Artificial Intelligence · with Bhatia · 2018–2022
A researcher in the Science corpus: 6 papers; trusts 52 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 115 citations into it; #19,044 of 35,345 by trust here, #11,327 by citations
- Natural Language Processing — 76 citations into it; #2,951 of 5,688 by trust here, #3,235 by citations
- Information Systems — 62 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it; #16,246 of 21,575 by trust here, #12,992 by citations
- Evaluation & Benchmarks — 26 citations into it
- Large Language Models — 26 citations into it
- Prompting & Reasoning — 9 citations into it
- Sociology and Political Science — 9 citations into it
Whom Zijian Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gonzalo Navarro
- Sergey Ioffe
- Diederik P. Kingma
- Sida I. Wang
- Jacob Devlin
- Geoffrey E. Hinton
- Christopher D. Manning
- Arthur P. Dempster
- Saif M. Mohammad
- M. Addis
Who trusts Zijian Wang overall
- Anjalie Field
- Yulia Tsvetkov
- Yang Trista Cao
- Dirk Hovy
- Boshi Wang
- Julia Mendelsohn
- David Jurgens
- Yuyu Zhang
Papers from Zijian Wang's perspective
Ordered by how strongly the researchers Zijian Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Answering Complex Open-domain Questions Through Iterative Query Generation (2019) — 134 citations
- Multi-lingual Evaluation of Code Generation Models (2022) — 247 citations
- TalkDown: A Corpus for Condescension Detection in Context (2019) — 55 citations
- ReCode: Robustness Evaluation of Code Generation Models (2022) — 161 citations
- CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context (2022) — 111 citations
- It’s going to be okay: Measuring Access to Support in Online Communities (2018) — 58 citations