Li Lyna Zhang
Computer Vision and Pattern Recognition · 2024–2025
A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 45 citations into it
- Model Architectures — 12 citations into it
Whom Li Lyna Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Li Lyna Zhang's perspective
Ordered by how strongly the researchers Li Lyna Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Unsupervised Multitask Learners
- 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
- 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)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking (2025) — 336 citations
- Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs (2025) — 509 citations
- Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone (2024) — 2,340 citations
- LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens (2024) — 360 citations