Qucheng Gong
Artificial Intelligence · 2017–2025
A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 111 citations into it; #29,137 of 35,345 by trust here, #9,092 by citations
- Reinforcement Learning — 71 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
- Economics and Econometrics — 20 citations into it
- Management Science and Operations Research — 16 citations into it
- Game & Decision Theory — 14 citations into it
Whom Qucheng Gong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuandong Tian
- Volodymyr Mnih
- David Silver
- Rémi Coulom
- Geoffrey E. Hinton
- Richard S. Sutton
- Kaiming He
- Alex Graves
- Jakob N. Foerster
- Yoshua Bengio
Who trusts Qucheng Gong overall
Papers from Qucheng Gong's perspective
Ordered by how strongly the researchers Qucheng Gong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Asynchronous Methods for Deep Reinforcement Learning
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games (2017) — 131 citations
- Hierarchical Decision Making by Generating and Following Natural Language Instructions (2019) — 70 citations
- ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero (2019) — 120 citations
- Kimi k1.5: Scaling Reinforcement Learning with LLMs (2025) — 1,006 citations
- Joint Policy Search for Multi-agent Collaboration with Imperfect Information (2020) — 24 citations
- Latent forward model for Real-time Strategy game planning with incomplete information (2018) — 4 citations