activity
20172025
most citedCharacterizing the Quality of Insight by Interactions: A Case Study

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

collaborators

5 papers

cs.SE2025★ 1 cited

A.S.E: A Repository-Level Benchmark for Evaluating Security in AI-Generated Code

Keke Lian, Bin Wang, Lei Zhang +19

The increasing adoption of large language models (LLMs) in software engineering necessitates rigorous security evaluation of their generated code. However, existing benchmarks ofte…

cs.HC2022

Characterizing Visualization Insights through Entity-Based Interaction: An Exploratory Study

Chen He, Tung Vuong, Giulio Jacucci

One of the primary purposes of visualization is to assist users in discovering insights. While there has been much research in information visualization aiming at complex data tran…

cs.HC2021

Interactive Visual Facets to Support Fluid Exploratory Search

Chen He, Luana Micallef, Barış Serim +3

Exploratory search starts with ill-defined goals and involves browsing, learning, and formulating new targets for search. To fluidly support such dynamic search behaviours, we focu…

cs.HC2020★ 18 cited

Characterizing the Quality of Insight by Interactions: A Case Study

Chen He, Luana Micallef, Liye He +3

Understanding the quality of insight has become increasingly important with the trend of allowing users to post comments during visual exploration, yet approaches for qualifying in…

cs.AI2017★ 17 cited

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation

Iiris Sundin, Tomi Peltola, Muntasir Mamun Majumder +6

Predicting the efficacy of a drug for a given individual, using high-dimensional genomic measurements, is at the core of precision medicine. However, identifying features on which…