Xiang Li

with Han · 2020

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

Whom Xiang Li trusts overall

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

1. Radford M. Neal
2. Sergey Ioffe

Papers from Xiang Li's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Pattern Recognition and Machine Learning
3. Deep Interest Network for Click-Through Rate Prediction
4. Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Densely Connected Convolutional Networks
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. ImageNet classification with deep convolutional neural networks

Their papers

• Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling (2020) — 43 citations