Mingfei Sun
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it
- Reinforcement Learning — 68 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Generative Models — 8 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Mingfei Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John Schulman
- Jonathan Ho
- Diederik P. Kingma
- Geoffrey E. Hinton
- Sergey Levine
- Richard S. Sutton
- Yoshua Bengio
- Alex Krizhevsky
- Prafulla Dhariwal
Papers from Mingfei Sun's perspective
Ordered by how strongly the researchers Mingfei Sun 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
- Human-level control through deep reinforcement learning
- Gradient-based learning applied to document recognition
- Asynchronous Methods for Deep Reinforcement Learning
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Imitating Human Behaviour with Diffusion Models (2023) — 323 citations
- Mastering Complex Control in MOBA Games with Deep Reinforcement Learning (2019) — 410 citations
- Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings (2020) — 60 citations
- Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? (2020) — 584 citations