116 citations · 273 across the 11 of their papers we have counts for
11 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,…
Reinforcement Learning in Healthcare: A Survey
Chao Yu, Jiming Liu, Shamim Nemati
As a subfield of machine learning, reinforcement learning (RL) aims at empowering one's capabilities in behavioural decision making by using interaction experience with the world a…
Periodicity in Movement Patterns Shapes Epidemic Risk in Urban Environments
Zhanwei Du, Spencer J Fox, Petter Holme +3
Daily variation in human mobility modulates the speed and severity of emerging outbreaks, yet most epidemiological studies assume static contact patterns. With a highly mobile popu…
A Cooperative Group Optimization System
Xiao-Feng Xie, Jiming Liu, Zun-Jing Wang
A cooperative group optimization (CGO) system is presented to implement CGO cases by integrating the advantages of the cooperative group and low-level algorithm portfolio design. F…
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics
Hongbin Pei, Bo Yang, Jiming Liu +1
Predicting epidemic dynamics is of great value in understanding and controlling diffusion processes, such as infectious disease spread and information propagation. This task is int…
An Open-Data Analysis of Heterogeneities in Lung Cancer Premature Mortality Rate and Associated Factors among Toronto Neighborhoods
Zhanwei Du, Jiming Liu, Songwei Shan
In public health, various data are rigorously collected and published with open access. These data reflect the environmental and non-environmental characteristics of heterogeneous…
Understanding the Spatial and Temporal Activity Patterns of Subway Mobility Flows
Zhanwei Du, Bo Yang, Jiming Liu
In urban transportation systems, mobility flows in the subway system reflect the spatial and temporal dynamics of working days. To investigate the variability of mobility flows, we…
Learning Topic Models by Belief Propagation
Jia Zeng, William K. Cheung, Jiming Liu
Latent Dirichlet allocation (LDA) is an important hierarchical Bayesian model for probabilistic topic modeling, which attracts worldwide interests and touches on many important app…
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…
Effects of Langmuir Kinetics of Two-Lane Totally Asymmetric Exclusion Processes in Protein Traffic
Ruili Wang, Rui Jiang, Mingzhe Liu +2
In this paper, we study a two-lane totally asymmetric simple exclusion process (TASEP) coupled with random attachment and detachment of particles (Langmuir kinetics) in both lanes…
From Alife Agents to a Kingdom of N Queens
Jing Han, Jiming Liu, Qingsheng Cai
This paper presents a new approach to solving N-queen problems, which involves a model of distributed autonomous agents with artificial life (ALife) and a method of representing N-…