Tianxin Wei

Information Systems · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 39 citations into it
• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Management Science and Operations Research — 22 citations into it

Whom Tianxin Wei trusts overall

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

1. Xiangnan He
2. Xiang Wang
3. Himan Abdollahpouri
4. Xavier Glorot
5. Yoshua Bengio
6. Yehuda Koren
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. Ruslan Salakhutdinov
10. Rianne van den Berg

Papers from Tianxin Wei's perspective

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

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

Their papers

• Causal Intervention for Leveraging Popularity Bias in Recommendation (2021) — 535 citations
• Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System (2020) — 403 citations