7 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Offline Reinforcement Learning with Imbalanced Datasets
Li Jiang, Sijie Cheng, Jielin Qiu +3
The prevalent use of benchmarks in current offline reinforcement learning (RL) research has led to a neglect of the imbalance of real-world dataset distributions in the development…
cs.LG2023
A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies
Li Jiang, Ting Zhang, Qiruyi Zuo +4
Spatiotemporal (ST) data collected by sensors can be represented as multi-variate time series, which is a sequence of data points listed in an order of time. Despite the vast amoun…
cs.SI2021★ 7 cited
Learning Large-scale Location Embedding From Human Mobility Trajectories with Graphs
Chenyu Tian, Yuchun Zhang, Zefeng Weng +2
An increasing amount of location-based service (LBS) data is being accumulated and helps to study urban dynamics and human mobility. GPS coordinates and other location indicators a…