1 citations · 3 across the 5 of their papers we have counts for
5 papers
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
Zhaofan Zhang, Yanan Xiao, Lu Jiang +3
In the realm of human mobility, the decision-making process for selecting the next-visit location is intricately influenced by a trade-off between spatial and temporal constraints,…
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
Lu Jiang, Yibin Wang, Jianan Wang +2
In this paper, we study the problem of MOOC quality evaluation which is essential for improving the course materials, promoting students' learning efficiency, and benefiting user s…
A Multi-Source Information Learning Framework for Airbnb Price Prediction
Lu Jiang, Yuanhan Li, Na Luo +2
With the development of technology and sharing economy, Airbnb as a famous short-term rental platform, has become the first choice for many young people to select. The issue of Air…
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning
Yanan Xiao, Minyu Liu, Zichen Zhang +3
Traffic flow prediction is an important part of smart transportation. The goal is to predict future traffic conditions based on historical data recorded by sensors and the traffic…
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent
Xiaosa Zhao, Kunpeng Liu, Wei Fan +4
Feature selection aims to select a subset of features to optimize the performances of downstream predictive tasks. Recently, multi-agent reinforced feature selection (MARFS) has be…