Cito: An Actuated Smartwatch for Extended Interactions. - Jun Gong 002; Lan Li 002; Daniel Vogel 001; Xing-Dong Yang (CHI, 2017)

Modeling Provenance and Understanding Reproducibility for OpenRefine Data Cleaning Workflows. - Timothy M. McPhillips; Lan Li 002; Nikolaus Nova Parulian; Bertram Ludäscher (TaPP, 2019)

A First-Principles Algebraic Approach to Data Transformations in Data Cleaning: Understanding Provenance from the Ground Up. - Santiago Núñez-Corrales; Lan Li 002; Bertram Ludäscher (TaPP, 2020)

or2yw: Modeling and Visualizing OpenRefineHistories as YesWorkflow Diagrams. - Nikolaus Nova Parulian; Lan Li 002; Bertram Ludäscher (CoRR, 2021)

Automatic Module Detection in Data Cleaning Workflows: Enabling Transparency and Recipe Reuse. - Lan Li 002; Nikolaus Nova Parulian; Bertram Ludäscher (Int. J. Digit. Curation, 2021)

On the Reusability of Data Cleaning Workflows. - Lan Li 002; Bertram Ludäscher (Int. J. Digit. Curation, 2022)

KAER: A Knowledge Augmented Pre-Trained Language Model for Entity Resolution. - Liri Fang; Lan Li 002; Yiren Liu; Vetle I. Torvik; Bertram Ludäscher (CoRR, 2023)

Unlocking Insights: Semantic Search in Jupyter Notebooks. - Lan Li 002; Jinpeng Lv (CoRR, 2024)

AutoDCWorkflow: LLM-based Data Cleaning Workflow Auto-Generation and Benchmark. - Lan Li 002; Liri Fang; Vetle I. Torvik (CoRR, 2024)

T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework. - Lan Li 002; Liri Fang; Yiren Liu; Bertram Ludäscher; Vetle I. Torvik (Int. J. Digit. Curation, 2024)

Reconciling Conflicting Data Curation Actions: Transparency Through Argumentation. - Yilin Xia; Shawn Bowers; Lan Li 002; Bertram Ludäscher (Int. J. Digit. Curation, 2024)