3 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.AS2022★ 1 cited
Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit
Pengcheng Li, Genshun Wan, Fenglin Ding +4
Speech pre-training has shown great success in learning useful and general latent representations from large-scale unlabeled data. Based on a well-designed self-supervised learning…
eess.AS2022
Improved Self-Supervised Multilingual Speech Representation Learning Combined with Auxiliary Language Information
Fenglin Ding, Genshun Wan, Pengcheng Li +2
Multilingual end-to-end models have shown great improvement over monolingual systems. With the development of pre-training methods on speech, self-supervised multilingual speech re…
cs.PF2020★ 3 cited
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models
Nan Wu, Pengcheng Li
With data durability, high access speed, low power efficiency and byte addressability, NVMe and SSD, which are acknowledged representatives of emerging storage technologies, have b…