3 citations · 3 across the 5 of their papers we have counts for
5 papers
A Simple, Nearly-Optimal Algorithm for Differentially Private All-Pairs Shortest Distances
Jesse Campbell, Chunjiang Zhu
The all-pairs shortest distances (APSD) with differential privacy (DP) problem takes as input an undirected, weighted graph and outputs a private estimate o…
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction
Haiyang Liu, Chunjiang Zhu, Detian Zhang
Traffic flow prediction plays a crucial role in alleviating traffic congestion and enhancing transport efficiency. While combining graph convolution networks with recurrent neural…
Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction
Haiyang Liu, Chunjiang Zhu, Detian Zhang +1
Traffic flow prediction is one of the most fundamental tasks of intelligent transportation systems. The complex and dynamic spatial-temporal dependencies make the traffic flow pred…
Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting
Haiyang Liu, Chunjiang Zhu, Detian Zhang +1
Traffic forecasting is one of the most fundamental problems in transportation science and artificial intelligence. The key challenge is to effectively model complex spatial-tempora…
Communication-Efficient Distributed Graph Clustering and Sparsification under Duplication Models
Chun Jiang Zhu
In this paper, we consider the problem of clustering graph nodes and sparsifying graph edges over distributed graphs, when graph edges with possibly edge duplicates are observed at…