LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations such as XGBoost and pGBRT. Although many engineerin...
Publications
3 shownA Communication-Efficient Parallel Algorithm for Decision Tree
Decision tree (and its extensions such as Gradient Boosting Decision Trees and Random Forest) is a widely used machine learning algorithm, due to its practical effectiveness and...
Uni-Mol: A Universal 3D Molecular Representation Learning Framework
Molecular representation learning (MRL) has gained tremendous attention due to its critical role in learning from limited supervised data for applications like drug design. In m...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 9,619
- Institution
- Microsoft Research (United Kingdom)
External Links
Identifiers
- ORCID
- 0000-0002-1227-7221
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.