Jun Yuan

schoolNew York Universitybar_chart#8040 Global Rank

Total Papers

HCI Rank

#8040

Research Areas

Years Active

Recent Publications

iSEA : An Interactive Pipeline for Semantic Error Analysis of NLP Models

Error analysis in NLP models is essential to successful model development and deployment. One common approach for diagnosing errors is to identify subpopulations in the dataset where the model produces the most errors. However, existing approaches typically define subpopulations based on pre-defined features, which re…

CHI '212nd AuthorInteractive Data Visualization +1

mTSeer: Interactive Visual Exploration of Models on Multivariate Time-series Forecast

Time-series forecasting contributes crucial information to industrial and institutional decision-making with multivariate time-series input. Although various models have been developed to facilitate the forecasting process, they make inconsistent forecasts. Thus, it is critical to select the model appropriately. The e…

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