Jian Guan

Artificial Intelligence · with Huang · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 93 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 123 citations into it; #29,920 of 35,345 by trust here, #9,641 by citations
• Natural Language Processing — 92 citations into it
• Computer Vision and Pattern Recognition — 47 citations into it; #20,525 of 21,575 by trust here, #10,905 by citations
• Large Language Models — 39 citations into it
• Evaluation & Benchmarks — 25 citations into it
• General Social Sciences — 7 citations into it

Whom Jian Guan trusts overall

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

1. Ilya Sutskever
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Alec Radford
5. Oriol Vinyals
6. Yann LeCun
7. Jacob Devlin
8. Chin-Yew Lin
9. Diederik P. Kingma
10. Robyn Speer

Who trusts Jian Guan overall

1. Nader Akoury
2. Cheng-Han Chiang
3. Tara Safavi
4. Rohit Sridhar
5. Chenguang Zhu
6. Jiacheng Ye
7. Marzena Karpinska
8. W. Yu
9. Faeze Brahman
10. Junyi Li

Papers from Jian Guan's perspective

Ordered by how strongly the researchers Jian Guan 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation (2020) — 268 citations
• UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation (2020) — 81 citations
• CPM-2: Large-scale Cost-effective Pre-trained Language Models (2021) — 101 citations
• CPM: A Large-scale Generative Chinese Pre-trained Language Model (2020) — 132 citations