Jiawei Zhang

Artificial Intelligence · with Zhang · 2013–2020

A researcher in the Science corpus: 4 papers; trusts 151 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it; #23,494 of 35,345 by trust here, #18,186 by citations
• Computer Vision and Pattern Recognition — 27 citations into it; #16,481 of 21,575 by trust here, #14,822 by citations
• Natural Language Processing — 25 citations into it
• Graph Learning — 19 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Model Architectures — 16 citations into it
• Statistical and Nonlinear Physics — 14 citations into it
• Molecular Biology — 13 citations into it

Whom Jiawei Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yann LeCun
5. Alex Krizhevsky
6. Jimmy Ba
7. Ilya Sutskever
8. Kaiming He
9. Jacob Devlin
10. Ruslan Salakhutdinov

Who trusts Jiawei Zhang overall

1. Chengxuan Ying
2. Vijay Prakash Dwivedi
3. Haopeng Zhang
4. Dexiong Chen
5. Zhanghao Wu
6. Tianle Cai
7. Xavier Bresson
8. Leslie O’Bray
9. Yuxiao Lin
10. Yutao Zhang

Papers from Jiawei Zhang's perspective

Ordered by how strongly the researchers Jiawei Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection (2020) — 48 citations
• Text Graph Transformer for Document Classification (2020) — 75 citations
• Graph-Bert: Only Attention is Needed for Learning Graph Representations (2020) — 391 citations
• Inferring anchor links across multiple heterogeneous social networks (2013) — 368 citations