CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets. - David Dao; Adam Fraser; Jane Hung; Vebjorn Ljosa; Shantanu Singh; Anne E. Carpenter (Bioinform., 2016)

Emotional prosody analysis on human voices. - Natalie Ang; Doina Bein; David Dao; Luigi Sanchez; Justine Tran; Navie Vurdien (CCWC, 2018)

DataBright: Towards a Global Exchange for Decentralized Data Ownership and Trusted Computation. - David Dao; Dan Alistarh; Claudiu Musat; Ce Zhang 001 (CoRR, 2018)

A Demonstration of Sterling: A Privacy-Preserving Data Marketplace. - Nick Hynes; David Dao; David Yan; Raymond Cheng 001; Dawn Song (Proc. VLDB Endow., 2018)

Towards Efficient Data Valuation Based on the Shapley Value. - Ruoxi Jia 001; David Dao; Boxin Wang; Frances Ann Hubis; Nick Hynes; Nezihe Merve Gürel; Bo Li 026; Ce Zhang 001; Dawn Song; Costas J. Spanos (AISTATS, 2019)

Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations. - Lun Wang 001; Joseph P. Near; Neel Somani; Peng Gao 008; Andrew Low; David Dao; Dawn Song (Poly/DMAH@VLDB, 2019)

Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms. - Ruoxi Jia 001; David Dao; Boxin Wang; Frances Ann Hubis; Nezihe Merve Gürel; Bo Li 026; Ce Zhang 001; Costas J. Spanos; Dawn Song (Proc. VLDB Endow., 2019)

TrueBranch: Metric Learning-based Verification of Forest Conservation Projects. - Simona Santamaria; David Dao; Björn Lütjens; Ce Zhang 001 (CoRR, 2020)

Ease.ML: A Lifecycle Management System for Machine Learning. - Leonel Aguilar Melgar; David Dao; Shaoduo Gan; Nezihe Merve Gürel; Nora Hollenstein; Jiawei Jiang 001; Bojan Karlas; Thomas Lemmin; Tian Li 005; Yang Li 106; Susie Xi Rao; Johannes Rausch; et al. (CIDR, 2021)

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? - Ruoxi Jia 001; Fan Wu 011; Xuehui Sun; Jiacen Xu; David Dao; Bhavya Kailkhura; Ce Zhang 001; Bo Li 026; Dawn Song (CVPR, 2021)

Challenges in KDD and ML for Sustainable Development. - Laure Berti-Équille; David Dao; Stefano Ermon; Bedharta Goswami (KDD, 2021)

Tackling the Overestimation of Forest Carbon with Deep Learning and Aerial Imagery. - Gyri Reiersen; David Dao; Björn Lütjens; Konstantin Klemmer; Xiaoxiang Zhu 001; Ce Zhang 001 (CoRR, 2021)

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. - Alexandre Lacoste; Evan David Sherwin; Hannah Kerner; Hamed Alemohammad; Björn Lütjens; Jeremy Irvin; David Dao; Alex Chang; Mehmet Gunturkun; Alexandre Drouin; Pau Rodríguez; David Vázquez 001 (CoRR, 2021)

RumbleML: program the lakehouse with JSONiq. - Ghislain Fourny; David Dao; Can Berker Cikis; Ce Zhang 001; Gustavo Alonso (CoRR, 2021)

ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery. - Gyri Reiersen; David Dao; Björn Lütjens; Konstantin Klemmer; Kenza Amara; Attila Steinegger; Ce Zhang 001; Xiaoxiang Zhu 001 (AAAI, 2022)

Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines. - Bojan Karlas; David Dao; Matteo Interlandi; Bo Li 026; Sebastian Schelter; Wentao Wu 001; Ce Zhang 001 (CoRR, 2022)

GEO-Bench: Toward Foundation Models for Earth Monitoring. - Alexandre Lacoste; Nils Lehmann; Pau Rodríguez; Evan D. Sherwin; Hannah Kerner; Björn Lütjens; Jeremy Irvin; David Dao; Hamed Alemohammad; Alexandre Drouin; Mehmet Gunturkun; Gabriel Huang; et al. (NeurIPS, 2023)

Advancing Algorithms and Applications for Data Valuation in Machine Learning. - David Dao (2023)

Data Debugging with Shapley Importance over Machine Learning Pipelines. - Bojan Karlas; David Dao; Matteo Interlandi; Sebastian Schelter; Wentao Wu 001; Ce Zhang 001 (ICLR, 2024)

OAM-TCD: A globally diverse dataset of high-resolution tree cover maps. - Josh Veitch-Michaelis; Andrew Cottam; Daniella Schweizer; Eben N. Broadbent; David Dao; Ce Zhang 001; Angelica M. Almeyda Zambrano; Simeon Max (NeurIPS, 2024)