activity
20182024
most citedCoLight: Learning Network-level Cooperation for Traffic Signal Control

445 citations · 468 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC2024

An Open-Source Fast Parallel Routing Approach for Commercial FPGAs

Xinshi Zang, Wenhao Lin, Shiju Lin +2

In the face of escalating complexity and size of contemporary FPGAs and circuits, routing emerges as a pivotal and time-intensive phase in FPGA compilation flows. In response to th…

cs.LG2019

Learning Phase Competition for Traffic Signal Control

Guanjie Zheng, Yuanhao Xiong, Xinshi Zang +6

Increasingly available city data and advanced learning techniques have empowered people to improve the efficiency of our city functions. Among them, improving the urban transportat…

cs.LG2019★ 23 cited

Diagnosing Reinforcement Learning for Traffic Signal Control

Guanjie Zheng, Xinshi Zang, Nan Xu +5

With the increasing availability of traffic data and advance of deep reinforcement learning techniques, there is an emerging trend of employing reinforcement learning (RL) for traf…

cs.MA2019★ 445 cited

CoLight: Learning Network-level Cooperation for Traffic Signal Control

Hua Wei, Nan Xu, Huichu Zhang +7

Cooperation among the traffic signals enables vehicles to move through intersections more quickly. Conventional transportation approaches implement cooperation by pre-calculating t…

cs.DS2018

QDR-Tree: An Efficient Index Scheme for Complex Spatial Keyword Query

Xinshi Zang, Peiwen Hao, Xiaofeng Gao +2

With the popularity of mobile devices and the development of geo-positioning technology, location-based services (LBS) attract much attention and top-k spatial keyword queries beco…