Lang He — accepted AI-conference papers

2026

Explainable Depression Assessment from Face Videos by Weakly Supervised Learning

Rongfan Liao, Xiangyu Kong, Shiqing Tang, Lang He, Changzeng Fu, Weicheng Xie +3

AAAI 2026technical

Existing video-based automatic depression assessment (ADA) approaches frequently achieve video-level depression assessment by aggregating features or predictions of individual frames or equal-length segments within the given video. While their performances have been largely enhanced by recent advanc

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2023

Relate Auditory Speech To Eeg By Shallow-Deep Attention-Based Network

Fan Cui, Liyong Guo, Lang He, Jiyao Liu, Ercheng Pei, Yujun Wang +1

ICASSP 2023accepted

Electroencephalography (EEG) plays a vital role in detecting how brain responses to different stimulus. In this paper, we propose a novel Shallow-Deep Attention-based Network (SDANet) to classify the correct auditory stimulus evoking the EEG signal. It adopts the Attention-based Correlation Module (…

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