Shimin Li
Artificial Intelligence · with Zhang · 2020–2023
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 78 citations into it
- Speech & Audio — 28 citations into it
- Signal Processing — 24 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Optimization & Training — 5 citations into it
Whom Shimin Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Jimmy Ba
- Alex Krizhevsky
- Ilya Sutskever
- Kaiming He
- Alec Radford
- Yann LeCun
- Alex Graves
Who trusts Shimin Li overall
Papers from Shimin Li's perspective
Ordered by how strongly the researchers Shimin Li 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)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Layer Normalization
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Slime mould algorithm: A new method for stochastic optimization (2020) — 2,690 citations
- SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities (2023) — 694 citations
- SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models (2023) — 136 citations