Qiang Fu

Artificial Intelligence · with Ammad-ud-din · 2019

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 — 21 citations into it
• Optimization & Training — 11 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Qiang Fu trusts

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

1. L. Eon Bottou (in Artificial Intelligence)

Papers from Qiang Fu's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Practical Bayesian Optimization of Machine Learning Algorithms
3. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
4. Large-Scale Machine Learning with Stochastic Gradient Descent
5. Parallelized Stochastic Gradient Descent
6. Communication-Efficient Learning of Deep Networks from Decentralized Data
7. Slow Learners are Fast
8. Federated Multi-Task Learning
9. Matrix Factorization Techniques for Recommender Systems
10. Collaborative Filtering for Implicit Feedback Datasets

Their papers

• Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System (2019) — 374 citations