4 citations · 8 across the 5 of their papers we have counts for
5 papers
Predicting Human Mobility via Self-supervised Disentanglement Learning
Qiang Gao, Jinyu Hong, Xovee Xu +3
Deep neural networks have recently achieved considerable improvements in learning human behavioral patterns and individual preferences from massive spatial-temporal trajectories da…
Incorporating Interactive Facts for Stock Selection via Neural Recursive ODEs
Qiang Gao, Xinzhu Zhou, Kunpeng Zhang +3
Stock selection attempts to rank a list of stocks for optimizing investment decision making, aiming at minimizing investment risks while maximizing profit returns. Recently, resear…
Forgetting Prevention for Cross-regional Fraud Detection with Heterogeneous Trade Graph
Yujie Li, Yuxuan Yang, Xin Yang +2
With the booming growth of e-commerce, detecting financial fraud has become an urgent task to avoid transaction risks. Despite the successful applications of Graph Neural Networks…
Self-supervised Representation Learning for Trip Recommendation
Qiang Gao, Wei Wang, Kunpeng Zhang +2
Trip recommendation is a significant and engaging location-based service that can help new tourists make more customized travel plans. It often attempts to suggest a sequence of po…
Efficient Architecture Search for Continual Learning
Qiang Gao, Zhipeng Luo, Diego Klabjan
Continual learning with neural networks is an important learning framework in AI that aims to learn a sequence of tasks well. However, it is often confronted with three challenges:…