2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022
SuperCone: Unified User Segmentation over Heterogeneous Experts via Concept Meta-learning
Keqian Li, Yifan Hu
We study the problem of user segmentation: given a set of users and one or more predefined groups or segments, assign users to their corresponding segments. As an example, for a se…
cs.AI2022
MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning
Keqian Li, Yifan Hu, Logan Palanisamy +6
Accurate understanding of users in terms of predicative segments play an essential role in the day to day operation of modern internet enterprises. Nevertheless, there are signific…
cs.GR2015★ 2 cited
On Integrating Information Visualization Techniques into Data Mining: A Review
Keqian Li
The exploding growth of digital data in the information era and its immeasurable potential value has called for different types of data-driven techniques to exploit its value for f…