Juntao Tan
Artificial Intelligence · with Mei · 2023–2025
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it
- Reinforcement Learning — 5 citations into it
Whom Juntao Tan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Juntao Tan's perspective
Ordered by how strongly the researchers Juntao Tan trusts endorse each paper. Same corpus, a different order for every researcher.
- Microsoft COCO: Common Objects in Context
- Language Models are Unsupervised Multitask Learners
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (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
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- A-MEM: Agentic Memory for LLM Agents (2025) — 752 citations
- OpenAGI: When LLM Meets Domain Experts (2023) — 353 citations