Jincai Lai
Artificial Intelligence · 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.
Subfields
- Artificial Intelligence — 18 citations into it
- Information Systems — 14 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Recommender Systems — 5 citations into it
Whom Jincai Lai trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Steffen Rendle (in Information Systems)
Papers from Jincai Lai's perspective
Ordered by how strongly the researchers Jincai Lai trusts endorse each paper. Same corpus, a different order for every researcher.
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Multilayer feedforward networks are universal approximators
- Factorization Machines
- DARTS: Differentiable Architecture Search
- Deep Neural Networks for YouTube Recommendations
- Matrix Factorization Techniques for Recommender Systems
- Practical Lessons from Predicting Clicks on Ads at Facebook
- Product-Based Neural Networks for User Response Prediction
- Neural Factorization Machines for Sparse Predictive Analytics (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
- Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction (European Conference on Information Retrieval)