Ruidan He
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 86 citations into it
- Natural Language Processing — 63 citations into it
- Computer Vision and Pattern Recognition — 33 citations into it
- Representation & Self-Supervised Learning — 23 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Optimization & Training — 10 citations into it
- Model Architectures — 8 citations into it
Whom Ruidan He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Richard Socher
- Tomas Mikolov
- Jimmy Ba
- Ilya Sutskever
- Alex Krizhevsky
- Alex Graves
- Yann LeCun
Who trusts Ruidan He overall
- Giannis Karamanolakis
- Hu Xu
- Qian Yu
- Lidong Bing
- B. Liu
- Daniel J. Hsu
- Yuning Mao
- Katikapalli Subramanyam Kalyan
- Tianyu Gao
Papers from Ruidan He's perspective
Ordered by how strongly the researchers Ruidan He trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- An Unsupervised Sentence Embedding Method by Mutual Information Maximization (2020) — 197 citations
- On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation (2021) — 255 citations
- An Unsupervised Neural Attention Model for Aspect Extraction (2017) — 393 citations