2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version
Sean Bin Yang, Chenjuan Guo, Jilin Hu +3
In step with the digitalization of transportation, we are witnessing a growing range of path-based smart-city applications, e.g., travel-time estimation and travel path ranking. A…
cs.LG2021★ 2 cited
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Sean Bin Yang, Chenjuan Guo, Jilin Hu +2
Path representations are critical in a variety of transportation applications, such as estimating path ranking in path recommendation systems and estimating path travel time in nav…
cs.LG2019
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks
Sean Bin Yang, Bin Yang
Modern navigation services often provide multiple paths connecting the same source and destination for users to select. Hence, ranking such paths becomes increasingly important, wh…