activity
20132023
most citedMR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions

120 citations · 150 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2023

Multi-Action Dialog Policy Learning from Logged User Feedback

Shuo Zhang, Junzhou Zhao, Pinghui Wang +5

Multi-action dialog policy, which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and efficient sys…

cs.CR2023★ 1 cited

An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation

Pinghui Wang, Chengjin Yang, Dongdong Xie +4

Counting the number of distinct elements distributed over multiple data holders is a fundamental problem with many real-world applications ranging from crowd counting to network mo…

cs.LG2023

Federated Learning over Coupled Graphs

Runze Lei, Pinghui Wang, Junzhou Zhao +6

Graphs are widely used to represent the relations among entities. When one owns the complete data, an entire graph can be easily built, therefore performing analysis on the graph i…

cs.LG2020★ 23 cited

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding

Lin Lan, Pinghui Wang, Xuefeng Du +3

We study the problem of node classification on graphs with few-shot novel labels, which has two distinctive properties: (1) There are novel labels to emerge in the graph; (2) The n…

cs.LG2019★ 120 cited

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions

Nuo Xu, Pinghui Wang, Long Chen +2

Predicting interactions between structured entities lies at the core of numerous tasks such as drug regimen and new material design. In recent years, graph neural networks have bec…

cs.DS2019

A Fast Sketch Method for Mining User Similarities over Fully Dynamic Graph Streams

Peng Jia, Pinghui Wang, Jing Tao +1

Many real-world networks such as Twitter and YouTube are given as fully dynamic graph streams represented as sequences of edge insertions and deletions. (e.g., users can subscribe…

cs.DS2018

REPT: A Streaming Algorithm of Approximating Global and Local Triangle Counts in Parallel

Pinghui Wang, Peng Jia, Yiyan Qi +3

Recently, considerable efforts have been devoted to approximately computing the global and local (i.e., incident to each node) triangle counts of a large graph stream represented a…

cs.DS2018

Utilizing Dynamic Properties of Sharing Bits and Registers to Estimate User Cardinalities over Time

Pinghui Wang, Peng Jia, Xiangliang Zhang +3

Online monitoring user cardinalities (or degrees) in graph streams is fundamental for many applications. For example in a bipartite graph representing user-website visiting activit…

cs.SI2016★ 6 cited

A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs

Pinghui Wang, Xiangliang Zhang, Zhenguo Li +6

Exploring small connected and induced subgraph patterns (CIS patterns, or graphlets) has recently attracted considerable attention. Despite recent efforts on computing the number o…

cs.SI2013

A Peep on the Interplays between Online Video Websites and Online Social Networks

Junzhou Zhao, Pinghui Wang, Jing Tao +2

Many online video websites provide the shortcut links to facilitate the video sharing to other websites especially to the online social networks (OSNs). Such video sharing behavior…