Xianyuan Zhan

Artificial Intelligence · with Cheng · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Reinforcement Learning — 33 citations into it
• Control and Systems Engineering — 10 citations into it

Whom Xianyuan Zhan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sergey Levine
2. Volodymyr Mnih
3. Aravind Rajeswaran
4. Geoffrey E. Hinton
5. Richard S. Sutton
6. Diederik P. Kingma
7. Yoshua Bengio
8. Jan Peters
9. Alex Graves
10. Alex Krizhevsky

Who trusts Xianyuan Zhan overall

1. Tianhe Yu
2. Aviral Kumar

Papers from Xianyuan Zhan's perspective

Ordered by how strongly the researchers Xianyuan Zhan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Model-Based Offline Planning with Trajectory Pruning (2021) — 44 citations
• OpenChat: Advancing Open-source Language Models with Mixed-Quality Data (2023) — 340 citations