Sixing Liu

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Signal Processing — 9 citations into it
• Speech & Audio — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Sixing Liu trusts overall

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

1. P. Loizou
2. Dan Hendrycks
3. Daniel W. Griffin
4. Vladimir E. Iashin

Papers from Sixing Liu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Their papers

• DCTTS: Discrete Diffusion Model with Contrastive Learning for Text-to-Speech Generation (2023) — 12 citations