Zuchao Li

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 6 papers; trusts 273 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 211 citations into it; #34,200 of 35,345 by trust here, #17,110 by citations
• Natural Language Processing — 194 citations into it; #5,442 of 5,688 by trust here, #3,235 by citations
• Computer Vision and Pattern Recognition — 123 citations into it
• Evaluation & Benchmarks — 48 citations into it
• Multimodal Learning — 37 citations into it
• Representation & Self-Supervised Learning — 25 citations into it
• Model Architectures — 23 citations into it
• Optimization & Training — 8 citations into it

Whom Zuchao Li trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Ilya Sutskever
5. Alex Krizhevsky
6. Kaiming He
7. Yann LeCun
8. Tomas Mikolov
9. Alex Graves
10. Dzmitry Bahdanau

Who trusts Zuchao Li overall

1. Zhuosheng Zhang
2. Sang-gil Lee

Papers from Zuchao Li's perspective

Ordered by how strongly the researchers Zuchao Li 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Semantics-aware BERT for Language Understanding (2019) — 401 citations
• Universal Multimodal Representation for Language Understanding (2023) — 35 citations
• Data-dependent Gaussian Prior Objective for Language Generation (2020) — 69 citations
• Neural Machine Translation with Universal Visual Representation (2020) — 122 citations
• Effective Subword Segmentation for Text Comprehension (2018) — 30 citations
• I Know What You Want: Semantic Learning for Text Comprehension (2018) — 21 citations