Wu, Peter

LEAF: A Benchmark for Federated Settings

Caldas, S., Duddu, S. M. K., Wu, P., Li, T., Konečný, J., McMahan, H. B., Smith, V., & Talwalkar, A. (2018) · arXiv

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 894

A high-performance neuroprosthesis for speech decoding and avatar control

Metzger, S. L., Littlejohn, K. T., Silva, A. B., Moses, D. A., Seaton, M. P., Wang, R., Dougherty, M. E., Liu, J. R., Wu, P., Berger, M. A., et al. (2023) · Nature

EEG and Brain-Computer InterfacesTactile and Sensory Interactions

Cited by 522

Polyploidy road to therapy‐induced cellular senescence and escape

Wang, Q., Wu, P. C., Dong, D. Z., Ivanova, I., Chu, E., Zeliadt, S., Vesselle, H., & Wu, D. Y. (2013) · International Journal of Cancer

Telomeres, Telomerase, and SenescenceCancer-related Molecular Pathways

Cited by 129

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Liang, P. P., Lyu, Y., Fan, X., Wu, Z., Cheng, Y., Wu, J., Chen, L., Wu, P., Lee, M. A., Zhu, Y., et al. (2021) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 85

Deep Speech Synthesis from Articulatory Representations

Wu, P., Watanabe, S., Goldstein, L., Black, A. W., & Anumanchipalli, G. K. (2022) · Interspeech 2022

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 22

Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment

Liang, P. P., Wu, P., Ziyin, L., Morency, L.-P., & Salakhutdinov, R. (2021) · Proceedings of the 29th ACM International Conference on Multimedia

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 22

Evidence of Vocal Tract Articulation in Self-Supervised Learning of Speech

Cho, C. J., Wu, P., Mohamed, A., & Anumanchipalli, G. K. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisPhonetics and Phonology Research

Cited by 21