Chao Zhang
Artificial Intelligence · with Li · 2024
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it
- Efficiency & Compression — 21 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Large Language Models — 10 citations into it
- Hardware and Architecture — 8 citations into it
- Model Architectures — 6 citations into it
- Natural Language Processing — 6 citations into it
Whom Chao Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yaniv Leviathan
- Itay Hubara
- Ali Hadi Zadeh
- Geoffrey E. Hinton
- Charlie Chen
- Yoshua Bengio
- Noam Shazeer
- Karl Cobbe
Papers from Chao Zhang's perspective
Ordered by how strongly the researchers Chao Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
Their papers
- EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty (2024) — 533 citations
- EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees (2024) — 331 citations