Shuo Ren
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 10 papers; trusts 104 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 344 citations into it; #30,157 of 35,345 by trust here, #4,860 by citations
- Natural Language Processing — 192 citations into it
- Signal Processing — 144 citations into it
- Information Systems — 98 citations into it; #4,678 of 8,771 by trust here, #320 by citations
- Speech & Audio — 91 citations into it
- Computer Vision and Pattern Recognition — 84 citations into it
- Representation & Self-Supervised Learning — 58 citations into it
- Large Language Models — 45 citations into it
Whom Shuo Ren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Guillaume Lample
- Geoffrey E. Hinton
- Yoshua Bengio
- Mikel Artetxe
- Ilya Sutskever
- Jimmy Ba
- Alex Krizhevsky
- Alex Graves
- Yann LeCun
Who trusts Shuo Ren overall
- Yue Wang
- Yichen Xu
- Shuyan Zhou
- Zi-Hua Zhang
- Toufique Ahmed
- Hung Le
- Baptiste Rozière
- Daya Guo
- Mikhail Evtikhiev
- Xavier García
Papers from Shuo Ren's perspective
Ordered by how strongly the researchers Shuo Ren trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- GraphCodeBERT: Pre-training Code Representations with Data Flow (2020) — 1,778 citations
- WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing (2021) — 3,371 citations
- Style Transfer as Unsupervised Machine Translation (2018) — 74 citations
- SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (2021) — 297 citations
- SpeechLM: Enhanced Speech Pre-Training With Unpaired Textual Data (2022) — 78 citations
- SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation (2021) — 14 citations
- CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (2021) — 1,545 citations
- CodeBLEU: a Method for Automatic Evaluation of Code Synthesis (2020) — 902 citations
- Explicit Cross-lingual Pre-training for Unsupervised Machine Translation (2019) — 44 citations
- Semantic Mask for Transformer based End-to-End Speech Recognition (2019) — 53 citations