5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2020
Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network
Xiatian Zhang, Xunshi He, Nan Wang +1
For high-dimensional data, there are huge communication costs for distributed GBDT because the communication volume of GBDT is related to the number of features. To overcome this p…
cs.LG2020
Mobility Inference on Long-Tailed Sparse Trajectory
Lei Shi
Analyzing the urban trajectory in cities has become an important topic in data mining. How can we model the human mobility consisting of stay and travel from the raw trajectory dat…
cs.SI2017★ 5 cited
UrbanFACET: Visually Profiling Cities from Mobile Device Recorded Movement Data of Millions of City Residents
Lei Shi, Tao Jiang, Ye Zhao +2
Cities are living systems where urban infrastructures and their functions are defined and evolved due to population behaviors. Profiling the cities and functional regions has been…