activity
20122023
most citedMICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data

17 citations · 105 across the 32 of their papers we have counts for

collaborators
Showing 2020 · cs.LGShow all

2 papers · 2 filters

cs.LG2020★ 2 cited

Unpack Local Model Interpretation for GBDT

Wenjing Fang, Jun Zhou, Xiaolong Li +1

A gradient boosting decision tree (GBDT), which aggregates a collection of single weak learners (i.e. decision trees), is widely used for data mining tasks. Because GBDT inherits t…

cs.LG2020

Adapted tree boosting for Transfer Learning

Wenjing Fang, Chaochao Chen, Bowen Song +3

Secure online transaction is an essential task for e-commerce platforms. Alipay, one of the world's leading cashless payment platform, provides the payment service to both merchant…