12 citations · 13 across the 4 of their papers we have counts for
4 papers
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework
Qi Tan, Yang Liu, Jiming Liu
Deep learning has achieved incredible success over the past years, especially in various challenging predictive spatio-temporal analytics (PSTA) tasks, such as disease prediction,…
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points
Yuexin Ma, Xinge ZHU, Xinjing Cheng +3
Current methods for trajectory prediction operate in supervised manners, and therefore require vast quantities of corresponding ground truth data for training. In this paper, we pr…
Exploring the genetic patterns of complex diseases via the integrative genome-wide approach
Ben Teng, Can Yang, Jiming Liu +2
Motivation: Genome-wide association studies (GWASs), which assay more than a million single nucleotide polymorphisms (SNPs) in thousands of individuals, have been widely used to id…
Multiplex Structures: Patterns of Complexity in Real-World Networks
Bo Yang, Jiming Liu
Complex network theory aims to model and analyze complex systems that consist of multiple and interdependent components. Among all studies on complex networks, topological structur…