research
* denotes equal contribution. Highlighted papers are most representative of my current research interests.
- Position: Measure Dataset Diversity, Don't Just Claim It
Dora Zhao, Jerone T.A. Andrews, Orestis Papakyriakopoulos, Alice Xiang
ICML 2024 (Oral) - Beyond Web-Scraping: Crowd-sourcing a Geographically Diverse Image Dataset
Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron B. Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky
NeurIPS D&B 2023 - Principlism Guided Data Curation
Jerone Andrews, Dora Zhao*, William Thong*, Apostolos Modas*, Orestis Papakyriakopoulos*, Shruti Nagpal* Alice Xiang
NeurIPS D&B 2023 (Oral) - Gender Artifacts in Visual Datasets
Nicole Meister*, Dora Zhao*, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
ICCV 2023 - Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao, Jerone Andrews, Alice Xiang
ICML 2023 - Augmented Datasheets for Speech Datasets and Ethical Decision-Making
Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, Jerone Andrews, Rebecca Bourke, William Thong, Dora Zhao, Alice Xiang, Allison Koenecke
FAccT 2023 - Understanding Teenage Perceptions and Configurations of Privacy on Instagram
Dora Zhao, Mikako Inaba, Andrés Monroy-Hernández
CSCW 2022 - Anti-Racist HCI: Notes on an Emerging Critical Technical Practice
One of nineteen authors
alt.CHI 2022 - REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky
IJCV 2022 - Understanding and Evaluating Racial Biases in Image Captioning
Dora Zhao, Angelina Wang, Olga Russakovsky
ICCV 2021