1 citations · 1 across the 6 of their papers we have counts for
7 papers
Efficient and Secure Range Counting over Distributed Geographic Data with Query Range Protection
Haoxin Yang, Pinghui Wang, Zhe Hou +8
Range counting is a core primitive in geographic information systems. When data is distributed across multiple organizations, conducting range counting raises substantial privacy c…
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching
Nuo Xu, Pinghui Wang, Zi Liang +2
Legal case retrieval (LCR) aims to automatically scour for comparable legal cases based on a given query, which is crucial for offering relevant precedents to support the judgment…
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge
Nuo Xu, Pinghui Wang, Junzhou Zhao +5
Legal Judgment Prediction (LJP) aims to automatically predict a law case's judgment results based on the text description of its facts. In practice, the confusing law articles (or…
Fast Gumbel-Max Sketch and its Applications
Yuanming Zhang, Pinghui Wang, Yiyan Qi +4
The well-known Gumbel-Max Trick for sampling elements from a categorical distribution (or more generally a non-negative vector) and its variants have been widely used in areas such…
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…
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…
Tracking Triadic Cardinality Distributions for Burst Detection in High-Speed Multigraph Streams
Junzhou Zhao, Pinghui Wang, John C. S. Lui +2
In everyday life, we often observe unusually frequent interactions among people before or during important events, e.g., people send/receive more greetings to/from their friends on…