Xiangfeng Wang
Artificial Intelligence · with Zha · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it
- Reinforcement Learning — 31 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it
- Optimization & Training — 22 citations into it
- Computational Theory and Mathematics — 18 citations into it
- Management Science and Operations Research — 13 citations into it
- Numerical Analysis — 11 citations into it
- Computational Mechanics — 9 citations into it
Whom Xiangfeng Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Cuturi
- R. Tyrrell Rockafellar
- Ronald J. Williams
- Geoffrey E. Hinton
- G. Peyr'e
- Ofir Pele
- Diederik P. Kingma
- John Schulman
- Yoshua Bengio
- Alex Krizhevsky
Who trusts Xiangfeng Wang overall
Papers from Xiangfeng Wang's perspective
Ordered by how strongly the researchers Xiangfeng Wang 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Dealing with Non-Stationarity in MARL via Trust-Region Decomposition (2021) — 15 citations
- Deep Extreme Multi-label Learning (2017) — 133 citations
- A Fast Proximal Point Method for Computing Exact Wasserstein Distance (2018) — 171 citations
- A Fast Proximal Point Method for Wasserstein Distance (2018) — 38 citations
- A Fast Proximal Point Method for Computing Wasserstein Distance (2018) — 18 citations