Banghua Zhu
Artificial Intelligence · with Jiao · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 99 citations into it
- Reinforcement Learning — 93 citations into it
- Management Science and Operations Research — 47 citations into it
- Computational Theory and Mathematics — 16 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Control and Systems Engineering — 11 citations into it
- Statistical Learning Theory — 9 citations into it
Whom Banghua Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Y. Ng
- Richard S. Sutton
- Pieter Abbeel
- Geoffrey E. Hinton
- Sergey Levine
- Diederik P. Kingma
- Aadirupa Saha
- Yoshua Bengio
- Alex Krizhevsky
- R´emi Munos
Who trusts Banghua Zhu overall
Papers from Banghua Zhu's perspective
Ordered by how strongly the researchers Banghua Zhu 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism (2021) — 360 citations
- Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons (2023) — 299 citations