most citedDeep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction

15 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2020

HpGAN: Sequence Search with Generative Adversarial Networks

Mingxing Zhang, Zhengchun Zhou, Lanping Li +3

Sequences play an important role in many engineering applications and systems. Searching sequences with desired properties has long been an interesting but also challenging researc…

cs.RO20204 cited

MRPB 1.0: A Unified Benchmark for the Evaluation of Mobile Robot Local Planning Approaches

Jian Wen, Xuebo Zhang, Qingchen Bi +4

Local planning is one of the key technologies for mobile robots to achieve full autonomy and has been widely investigated. To evaluate mobile robot local planning approaches in a u…

cs.IT2020

Asymptotically Optimal and Near-optimal Aperiodic Quasi-Complementary Sequence Sets Based on Florentine Rectangles

Avik Ranjan Adhikary, Yanghe Feng, Zhengchun Zhou +1

Quasi-complementary sequence sets (QCSSs) can be seen as a generalized version of complete complementary codes (CCCs), which enables multicarrier communication systems to support m…

cs.LG202015 cited

Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction

Guangyin Jin, Zhexu Xi, Hengyu Sha +2

Urban ride-hailing demand prediction is a crucial but challenging task for intelligent transportation system construction. Predictable ride-hailing demand can facilitate more reaso…

cs.LG20183 cited

VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control

Xingxing Liang, Qi Wang, Yanghe Feng +2

Recent breakthroughs in Go play and strategic games have witnessed the great potential of reinforcement learning in intelligently scheduling in uncertain environment, but some bott…