Shuai Lu
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 156 citations into it
- Information Systems — 123 citations into it; #4,679 of 8,771 by trust here, #294 by citations
- Natural Language Processing — 122 citations into it
- Software — 75 citations into it; #811 of 1,227 by trust here, #23 by citations
- Large Language Models — 47 citations into it
- Evaluation & Benchmarks — 43 citations into it
Whom Shuai Lu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Miltiadis Allamanis
- Ilya Sutskever
- Diederik P. Kingma
- Sepp Hochreiter
- Alec Radford
- Alex Krizhevsky
- Daya Guo
- Ashish Vaswani
Who trusts Shuai Lu overall
- Yue Wang
- Toufique Ahmed
- Daya Guo
- Baptiste Rozière
- Yichen Xu
- Chun Xia
- Hung Le
- Tianyang Liu
- Canwen Xu
- Prem Devanbu
Papers from Shuai Lu's perspective
Ordered by how strongly the researchers Shuai Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models (2023) — 867 citations
- GraphCodeBERT: Pre-training Code Representations with Data Flow (2020) — 1,778 citations
- InferFix: End-to-End Program Repair with LLMs (2023) — 324 citations
- UniXcoder: Unified Cross-Modal Pre-training for Code Representation (2022) — 1,023 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