5 citations · 15 across the 6 of their papers we have counts for
6 papers
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching
Zongtao Liu, Bin Ma, Quan Liu +2
Digital advertising is a critical part of many e-commerce platforms such as Taobao and Amazon. While in recent years a lot of attention has been drawn to the consumer side includin…
Boosting Graph Search with Attention Network for Solving the General Orienteering Problem
Zongtao Liu, Jing Xu, Jintao Su +2
Recently, several studies have explored the use of neural network to solve different routing problems, which is an auspicious direction. These studies usually design an encoder-dec…
Time-Series Event Prediction with Evolutionary State Graph
Wenjie Hu, Yang Yang, Ziqiang Cheng +2
The accurate and interpretable prediction of future events in time-series data often requires the capturing of representative patterns (or referred to as states) underpinning the o…
Capturing Evolution Genes for Time Series Data
Wenjie Hu, Jianping Huang, Liang Wu +5
The modeling of time series is becoming increasingly critical in a wide variety of applications. Overall, data evolves by following different patterns, which are generally caused b…
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period
Yang Yang, Zongtao Liu, Chenhao Tan +3
In China, 260 million people migrate to cities to realize their urban dreams. Despite that these migrants play an important role in the rapid urbanization process, many of them fai…
Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai
Yang Yang, Chenhao Tan, Zongtao Liu +2
Unprecedented human mobility has driven the rapid urbanization around the world. In China, the fraction of population dwelling in cities increased from 17.9% to 52.6% between 1978…