Dongdong Zhang

Artificial Intelligence · with Huang · 2017–2022

A researcher in the Science corpus: 11 papers; trusts 377 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 296 citations into it
• Natural Language Processing — 236 citations into it
• Computer Vision and Pattern Recognition — 186 citations into it
• Evaluation & Benchmarks — 70 citations into it
• Large Language Models — 61 citations into it
• Multimodal Learning — 56 citations into it
• Model Architectures — 40 citations into it
• Optimization & Training — 24 citations into it

Whom Dongdong Zhang trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Philipp Koehn
6. Alex Krizhevsky
7. Dzmitry Bahdanau
8. Matthew D. Zeiler
9. Jimmy Ba
10. Yann LeCun

Who trusts Dongdong Zhang overall

1. Zewen Chi
2. Xinyi Wang

Papers from Dongdong Zhang's perspective

Ordered by how strongly the researchers Dongdong 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Achieving Human Parity on Automatic Chinese to English News Translation (2018) — 645 citations
• M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training (2021) — 120 citations
• Sequence-to-Dependency Neural Machine Translation (2017) — 102 citations
• XGPT: Cross-modal Generative Pre-Training for Image Captioning (2020) — 84 citations
• M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training (2020) — 7 citations
• DeepNet: Scaling Transformers to 1,000 Layers (2022) — 261 citations
• Alternating Language Modeling for Cross-Lingual Pre-Training (2020) — 94 citations
• Syntax-Aware Data Augmentation for Neural Machine Translation (2020) — 23 citations
• DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders (2021) — 92 citations
• BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation (2021) — 75 citations
• Improved Neural Machine Translation with Chinese Phonologic Features (2018) — 3 citations