Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languages. - Daniel J. Wu; Andrew C. Yang; Vinay U. Prabhu (CoRR, 2020)

Scalable Differential Privacy With Sparse Network Finetuning. - Zelun Luo; Daniel J. Wu; Ehsan Adeli 001; Li Fei-Fei 001 (CVPR, 2021)

Continuous Weight Balancing. - Daniel J. Wu; Avoy Datta (CoRR, 2021)

Binarized Neural Networks for Resource-Constrained On-Device Gait Identification. - Daniel J. Wu; Avoy Datta; Vinay U. Prabhu (CoRR, 2021)

Practical Deepfake Detection: Vulnerabilities in Global Contexts. - Yang A. Chuming; Daniel J. Wu; Ken Hong (CoRR, 2022)

Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection. - Aaron Maiwald; Leon Ackermann; Maximilian Kalcher; Daniel J. Wu (CoRR, 2024)