most citedXNLI: Explaining and Diagnosing NLI-based Visual Data Analysis

33 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2024

ParetoTracker: Understanding Population Dynamics in Multi-objective Evolutionary Algorithms through Visual Analytics

Zherui Zhang, Fan Yang, Ran Cheng +1

Multi-objective evolutionary algorithms (MOEAs) have emerged as powerful tools for solving complex optimization problems characterized by multiple, often conflicting, objectives. W…

cs.HC2023

GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report Generation

Fan Lei, Yuxin Ma, Stewart Fotheringham +5

Geographic regression models of various descriptions are often applied to identify patterns and anomalies in the determinants of spatially distributed observations. These types of…

cs.LG20233 cited

Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks

Ping Gong, Yuxin Ma, Cheng Li +2

In this paper, we primarily focus on understanding the data preprocessing pipeline for DNN Training in the public cloud. First, we run experiments to test the performance implicati…

cs.HC2023

DiffSeer: Difference-based Dynamic Weighted Graph Visualization

Xiaolin Wen, Yong Wang, Meixuan Wu +5

Existing dynamic weighted graph visualization approaches rely on users' mental comparison to perceive temporal evolution of dynamic weighted graphs, hindering users from effectivel…

cs.HC202333 cited

XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis

Yingchaojie Feng, Xingbo Wang, Bo Pan +7

Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in data visualization. However, diagnosing the visualization results without understanding…