Yezheng Liu

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it

Whom Yezheng Liu trusts overall

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

1. Charu C. Aggarwal
2. Chong Zhou
3. Jia-Jie Zhu
4. Bernhard Schölkopf
5. Emaad Manzoor
6. Ian J. Goodfellow
7. Randy Clinton Paffenroth
8. José Bento
9. Geoffrey E. Hinton
10. Hans-Peter Kriegel

Who trusts Yezheng Liu overall

1. Zheng Li
2. Yue Zhao

Papers from Yezheng Liu's perspective

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

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

Their papers

• Optimization of Online Promotion: a Profit-Maximizing Model Integrating Price discount and Product Recommendation (2012) — 22 citations
• Redesigning Promotion Strategy For E-commerce Competitiveness Through Pricing and Recommendation (2015) — 68 citations
• Generative Adversarial Active Learning for Unsupervised Outlier Detection (2018) — 355 citations