Z
Zhenhui Li
Researcher at Pennsylvania State University
Publications - 125
Citations - 8757
Zhenhui Li is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Reinforcement learning & Graph (abstract data type). The author has an hindex of 39, co-authored 120 publications receiving 5572 citations. Previous affiliations of Zhenhui Li include Salesforce.com & University of Illinois at Urbana–Champaign.
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Few-Shot Knowledge Graph Completion
TL;DR: This work proposes a novel few-shot relation learning model (FSRL) that can effectively capture knowledge from heterogeneous graph structure, aggregate representations of few- shot references, and match similar entity pairs of reference set for every relation.
Proceedings ArticleDOI
Learning Phase Competition for Traffic Signal Control
Guanjie Zheng,Yuanhao Xiong,Xinshi Zang,Jie Feng,Hua Wei,Huichu Zhang,Yong Li,Kai Xu,Zhenhui Li +8 more
TL;DR: In this article, the authors proposed a novel design called FRAP, which is based on the intuitive principle of phase competition in traffic signal control: when two traffic signals conflict, priority should be given to one with higher demand.
Proceedings ArticleDOI
Region Representation Learning via Mobility Flow
Hongjian Wang,Zhenhui Li +1 more
TL;DR: This paper proposes to jointly learn vector representations for regions using the large-scale taxi flow data from a flow graph and a spatial graph and considers both temporal dynamics and multi-hop transitions in learning the region representations.
Journal ArticleDOI
Recent Advances in Reinforcement Learning for Traffic Signal Control: A Survey of Models and Evaluation
TL;DR: In this paper, the authors focus on investigating the recent advances in using reinforcement learning (RL) techniques to solve the traffic signal control problem and classify the known approaches based on the RL techniques they use and provide a review of existing models with analysis on their advantages and disadvantages.
Posted Content
Learning Phase Competition for Traffic Signal Control
Guanjie Zheng,Yuanhao Xiong,Xinshi Zang,Jie Feng,Hua Wei,Huichu Zhang,Yong Li,Kai Xu,Zhenhui Li +8 more
TL;DR: A novel design called FRAP is proposed, which is based on the intuitive principle of phase competition in traffic signal control: when two traffic signals conflict, priority should be given to one with larger traffic movement (i.e., higher demand).