Weilin Zhao
Artificial Intelligence · 2021–2026
A researcher in the Science corpus: 7 papers; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 277 citations into it; #29,332 of 35,345 by trust here, #7,858 by citations
- Large Language Models — 117 citations into it
- Computer Vision and Pattern Recognition — 101 citations into it
- Natural Language Processing — 97 citations into it; #5,429 of 5,688 by trust here, #3,369 by citations
- Prompting & Reasoning — 53 citations into it; #325 of 359 by trust here, #262 by citations
- Efficiency & Compression — 25 citations into it
Whom Weilin Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alec Radford
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Alex Krizhevsky
- Christopher D. Manning
- Yuhao Zhang
- Tianyu Gao
Who trusts Weilin Zhao overall
Papers from Weilin Zhao's perspective
Ordered by how strongly the researchers Weilin Zhao 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- PTR: Prompt Tuning with Rules for Text Classification (2021) — 596 citations
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence (2026) — 347 citations
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies (2024) — 750 citations
- MiniCPM-V: A GPT-4V Level MLLM on Your Phone (2024) — 1,205 citations
- Tool Learning with Foundation Models (2023) — 420 citations
- Parameter-efficient fine-tuning of large-scale pre-trained language models (2023) — 1,192 citations
- OpenPrompt: An Open-source Framework for Prompt-learning (2021) — 344 citations