22 citations · 28 across the 5 of their papers we have counts for
6 papers
Time Window Frechet and Metric-Based Edit Distance for Passively Collected Trajectories
Jiaxin Ding, Jie Gao, Steven Skiena
The advances of modern localization techniques and the wide spread of mobile devices have provided us great opportunities to collect and mine human mobility trajectories. In this w…
CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing
Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang +1
As mobile networks proliferate, we are experiencing a strong diversification of services, which requires greater flexibility from the existing network. Network slicing is proposed…
Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility
Yuanjie Li, Esha Datta, Jiaxin Ding +2
The demand for seamless Internet access under extreme user mobility, such as on high-speed trains and vehicles, has become a norm rather than an exception. However, the 4G/5G mobil…
Heterogeneous Interventions Reduce the Spread of COVID-19 in Simulations on Real Mobility Data
Haotian Wang, Abhirup Ghosh, Jiaxin Ding +2
Major interventions have been introduced worldwide to slow down the spread of the SARS-CoV-2 virus. Large-scale lockdowns of human movements are effective in reducing the spread, b…
IPO: Interior-point Policy Optimization under Constraints
Yongshuai Liu, Jiaxin Ding, Xin Liu
In this paper, we study reinforcement learning (RL) algorithms to solve real-world decision problems with the objective of maximizing the long-term reward as well as satisfying cum…
Decentralized Trajectory Tracking Using Homology and Hodge Decomposition in Sensor Networks
Xiaotian Yin, Yu-Yao Lin, Chien-Chun Ni +5
With the recent development of localization and tracking systems for both indoor and outdoor settings, we consider the problem of sensing, representing and analyzing human movement…