Kexin Zhu — accepted AI-conference papers

2026

Nano-EmoX: Unifying Multimodal Emotional Intelligence from Perception to Empathy

Jiahao Huang, Fengyan Lin, Xuechao Yang, Chen Feng, Kexin Zhu, Xu Yang +1

CVPR 2026

The development of affective multimodal language models (MLMs) has long been constrained by a gap between low-level perception and high-level interaction, leading to fragmented affective capabilities and limited generalization. To bridge this gap, we propose a cognitively inspired three-level hierar

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2023

Improving EEG-based Emotion Recognition by Fusing Time-Frequency and Spatial Representations

Kexin Zhu, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao

ICASSP 2023accepted

Using deep learning methods to classify EEG signals can accurately identify people’s emotions. However, existing studies have rarely considered the application of the information in another domain’s representations to feature selection in the time-frequency domain. We propose a classification networ…

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