Peishuo Li — accepted AI-conference papers

2025

CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting

Haoran Xu, Saining Zhang, Peishuo Li, Baijun Ye, Xiaoxue Chen, Huan-ang Gao +12

IROS 2025

Vehicle-to-everything (V2X) communication plays a crucial role in autonomous driving, enabling cooperation between vehicles and infrastructure. While simulation has significantly contributed to various autonomous driving tasks, its potential for data generation and augmentation in V2X scenarios rema

Cited by 4 Source ↗code ↗Scholar ↗

2020

PAGAN: A Phase-Adapted Generative Adversarial Networks for Speech Enhancement

Peishuo Li, Zihang Jiang, Shouyi Yin, Dandan Song, Peng Ouyang, Leibo Liu +1

ICASSP 2020accepted

Deep neural networks (DNNs) are becoming more and more popular in speech enhancement. Most of DNN-based speech enhancement approaches currently operate on magnitude spectra and ignore the phase mismatch between noisy and clean speech which greatly limits the speech enhancement performance. This pape…

Cited by 0 Source ↗Scholar ↗