Junyuan Shang
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 144 citations into it
- Natural Language Processing — 83 citations into it
- Computer Vision and Pattern Recognition — 57 citations into it
- Large Language Models — 53 citations into it
- Model Architectures — 21 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Optimization & Training — 14 citations into it
- Graph Learning — 9 citations into it
Whom Junyuan Shang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Edward Choi
- Yoshua Bengio
- Cao Xiao
- Geoffrey E. Hinton
- Kyunghyun Cho
- Alec Radford
- Jimmy Ba
- Alex Krizhevsky
- Ilya Sutskever
Who trusts Junyuan Shang overall
- Edward Choi
- Angela Zhang
- Lirong Wu
- Jiawei Zhang
- Junliang Yu
- Zhen Xu
- Yujia Li
- Haopeng Zhang
- L. Xing
- Zhangyang Gao
Papers from Junyuan Shang's perspective
Ordered by how strongly the researchers Junyuan Shang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021) — 88 citations
- ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation (2021) — 607 citations
- GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination (2018) — 365 citations
- Pre-training of Graph Augmented Transformers for Medication Recommendation (2019) — 352 citations