Runduo Han — accepted AI-conference papers

2026

Cross-Subject EEG-to-Video Reconstruction and Beyond

CVPR 2026

Reconstructing video content from EEG (electroencephalogram) is a research task of significant scientific importance. However, due to inter-subject differences in physiological states and variations in signal acquisition configurations, this task faces the challenge of inconsistent cross-subject gen

Cited by 0 Source ↗Scholar ↗

2023

Two-Stage Neural Network for ICASSP 2023 Speech Signal Improvement Challenge

Mingshuai Liu, Shubo Lv, Zihan Zhang, Runduo Han, Xiang Hao, Xianjun Xia +3

ICASSP 2023accepted

In ICASSP 2023 speech signal improvement challenge, we developed a dual-stage neural model which improves speech signal quality induced by different distortions in a stage-wise divide-and-conquer fashion. Specifically, in the first stage, the speech improvement network focuses on recovering the miss…

Cited by 0 Source ↗Scholar ↗