activity
20132026
most citedMR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions

120 citations · 171 across the 30 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 2 cited

Robust Visual Question Answering: Datasets, Methods, and Future Challenges

Jie Ma, Pinghui Wang, Dechen Kong +4

Visual question answering requires a system to provide an accurate natural language answer given an image and a natural language question. However, it is widely recognized that pre…

cs.CL2023★ 5 cited

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models

Shuo Zhang, Liangming Pan, Junzhou Zhao +1

Large language models often necessitate grounding on external knowledge to generate faithful and reliable answers. Yet even with the correct groundings in the reference, they can i…

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.LG2023

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…

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…