Yutao Zhu
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 213 citations into it
- Computer Vision and Pattern Recognition — 72 citations into it
- Information Systems — 43 citations into it
- Model Architectures — 5 citations into it
Whom Yutao Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Alec Radford
- Kaiming He
- Yann LeCun
- Jimmy Ba
- Alex Graves
Papers from Yutao Zhu's perspective
Ordered by how strongly the researchers Yutao Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Don't Make Your LLM an Evaluation Benchmark Cheater (2023) — 247 citations
- WebThinker: Empowering Large Reasoning Models with Deep Research Capability (2025) — 299 citations
- Search-o1: Agentic Search-Enhanced Large Reasoning Models (2025) — 446 citations
- Large Language Models for Information Retrieval: A Survey (2023) — 602 citations
- S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization (2020) — 1,154 citations