Dongmei Zhang

Artificial Intelligence · with Chen · 2000–2020

A researcher in the Science corpus: 9 papers; trusts 130 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 139 citations into it; #18,437 of 35,345 by trust here, #8,525 by citations
• Natural Language Processing — 116 citations into it; #5,391 of 5,688 by trust here, #2,888 by citations
• Information Systems — 54 citations into it; #3,880 of 8,771 by trust here, #1,284 by citations
• Computer Vision and Pattern Recognition — 37 citations into it
• Model Architectures — 30 citations into it
• Software — 19 citations into it
• Developmental and Educational Psychology — 18 citations into it; #7,094 of 8,223 by trust here, #7,797 by citations
• Evaluation & Benchmarks — 17 citations into it

Whom Dongmei Zhang trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Oriol Vinyals
6. Ronald J. Williams
7. L. Eon Bottou
8. Alex Krizhevsky
9. Matthew D. Zeiler
10. Yann LeCun

Who trusts Dongmei Zhang overall

1. Lin Sophie Teng
2. Xi Victoria Lin
3. Jian Zhang
4. Chris Cummins
5. Lutz Büch

Papers from Dongmei Zhang's perspective

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

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

Their papers

• Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation (2019) — 493 citations
• Deep API learning (2016) — 579 citations
• You Impress Me: Dialogue Generation via Mutual Persona Perception (2020) — 187 citations
• TUTA: Tree-based Transformers for Generally Structured Table Pre-training (2020) — 199 citations
• Compositional Generalization by Learning Analytical Expressions (2020) — 78 citations
• CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs (2020) — 24 citations
• Metacognition and Self-Regulated Learning (SRL) in Second/Foreign Language Teaching (2019) — 99 citations
• Robust log-based anomaly detection on unstable log data (2019) — 766 citations
• A statistical approach to 3d object detection applied to faces and cars (2000) — 294 citations