Mingyang Zhang
Artificial Intelligence · with Bendersky · 2017–2021
A researcher in the Science corpus: 4 papers; trusts 75 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 109 citations into it; #28,509 of 35,345 by trust here, #19,439 by citations
- Natural Language Processing — 76 citations into it
- Computer Vision and Pattern Recognition — 38 citations into it
- Information Systems — 23 citations into it; #6,848 of 8,771 by trust here, #6,770 by citations
- Information Retrieval & Search — 21 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Large Language Models — 11 citations into it
Whom Mingyang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Kaiming He
- Tomas Mikolov
- Alex Krizhevsky
- Alex Graves
- Jacob Devlin
Who trusts Mingyang Zhang overall
Papers from Mingyang Zhang's perspective
Ordered by how strongly the researchers Mingyang Zhang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Dynamic Language Models for Continuously Evolving Content (2021) — 51 citations
- Situational Context for Ranking in Personal Search (2017) — 63 citations
- Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching (2020) — 13 citations
- Semantic Text Matching for Long-Form Documents (2019) — 102 citations