21 citations · 49 across the 6 of their papers we have counts for
7 papers
Clustering High-dimensional Data via Feature Selection
Tianqi Liu, Yu Lu, Biqing Zhu +1
High-dimensional clustering analysis is a challenging problem in statistics and machine learning, with broad applications such as the analysis of microarray data and RNA-seq data.…
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass
Jiaxin Huang, Tianqi Liu, Jialu Liu +3
Multi-Task Learning (MTL) models have shown their robustness, effectiveness, and efficiency for transferring learned knowledge across tasks. In real industrial applications such as…
NewsEmbed: Modeling News through Pre-trained Document Representations
Jialu Liu, Tianqi Liu, Cong Yu
Effectively modeling text-rich fresh content such as news articles at document-level is a challenging problem. To ensure a content-based model generalize well to a broad range of a…
A Deep Probabilistic Model for Customer Lifetime Value Prediction
Xiaojing Wang, Tianqi Liu, Jingang Miao
Accurate predictions of customers' future lifetime value (LTV) given their attributes and past purchase behavior enables a more customer-centric marketing strategy. Marketers can s…
BERT for Large-scale Video Segment Classification with Test-time Augmentation
Tianqi Liu, Qizhan Shao
This paper presents our approach to the third YouTube-8M video understanding competition that challenges par-ticipants to localize video-level labels at scale to the pre-cise time…
Constrained-size Tensorflow Models for YouTube-8M Video Understanding Challenge
Tianqi Liu, Bo Liu
This paper presents our 7th place solution to the second YouTube-8M video understanding competition which challenges participates to build a constrained-size model to classify mill…