Zhixuan Liang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Generative Models — 19 citations into it

Whom Zhixuan Liang trusts overall

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

1. Alexia Jolicoeur-Martineau
2. Individualized Treat
3. Alec Radford
4. Elizaveta Levina
5. Shane T. Barratt
6. Geoffrey E. Hinton
7. Martín Arjovsky
8. Takeru Miyato
9. Corentin Hardy
10. L. Eon Bottou

Papers from Zhixuan Liang's perspective

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

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

Their papers

• Hausdorff GAN: Improving GAN Generation Quality With Hausdorff Metric (2021) — 34 citations