2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning
Ming Cheng, Ziyi Zhou, Bowen Zhang +7
In the landscape of spatio-temporal data analytics, effective trajectory representation learning is paramount. To bridge the gap of learning accurate representations with efficient…
cs.LG2024★ 1 cited
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
Ming Cheng, Bowen Zhang, Ziyu Wang +4
Trajectory similarity search plays an essential role in autonomous driving, as it enables vehicles to analyze the information and characteristics of different trajectories to make…
cs.CL2023★ 2 cited
PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications
Yang Tan, Mingchen Li, Pan Tan +4
Large protein language models are adept at capturing the underlying evolutionary information in primary structures, offering significant practical value for protein engineering. Co…