Ruiyi Zhang
Artificial Intelligence · with Gu · 2020–2023
A researcher in the Science corpus: 5 papers; trusts 168 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 243 citations into it; #11,800 of 35,345 by trust here, #15,236 by citations
- Computer Vision and Pattern Recognition — 112 citations into it
- Natural Language Processing — 106 citations into it
- Reinforcement Learning — 24 citations into it; #953 of 2,242 by trust here, #1,728 by citations
- Management Science and Operations Research — 15 citations into it; #3,487 of 11,946 by trust here, #5,316 by citations
- Probabilistic & Bayesian Methods — 11 citations into it
- Information Retrieval & Search — 9 citations into it
Whom Ruiyi Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Kaiming He
- Radford M. Neal
- Yann LeCun
- Ilya Sutskever
- Michael I. Jordan
Who trusts Ruiyi Zhang overall
- Ofir Nachum
- Shangtong Zhang
- Bo Dai
- Mengjiao Yang
- Nan Jiang
- Samarth Sinha
- Martin Klissarov
- Sergey Levine
- Bo Liu
- Aviral Kumar
Papers from Ruiyi Zhang's perspective
Ordered by how strongly the researchers Ruiyi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Towards Language-Free Training for Text-to-Image Generation (2021) — 229 citations
- GenDICE: Generalized Offline Estimation of Stationary Values (2020) — 188 citations
- Knowledge Graph Prompting for Multi-Document Question Answering (2023) — 329 citations
- LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding (2023) — 313 citations
- Bias and Fairness in Large Language Models: A Survey (2023) — 1,188 citations