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Wei-Long Zheng

Associate Professer

Shanghai Jiao Tong University

China

Research Interests

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Professors in Neuropsychology

Articles (20)

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2026

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2025

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2025

Collaborators (1)

Yiting Wang

Karolinska Institutet

SWEDEN

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Wei-Long Zheng

Research Interests

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Articles (20)

Hierarchical Emotion Transformer for Multimodal Joint Emotion Category and Intensity Recognition

Multi-session Meditative EEG Classification with Noise-Robust Self-supervision

From EEG to Eye Movements: Cross-Modal Emotion Recognition Using Constrained Adversarial Network With Dual Attention

A Multi-task Emotion Recognition Model Based on Continuously Labeled EEG Signals

A method for emotion transition recognition using cross-modal feature fusion and global perception

Cross-Stimulus Transfer Learning: Enhancing Emotion Recognition from Visual-Auditory to Olfactory Perception

Double Domain Converter Transformer For Improving EEG-Based Emotion Recognition from Video to Game Scenarios

Enhancing Depression Detection from Emotion EEG with Temporal-Spatial-Spectral Representation Learning

Gram: A Large General EEG Model for Raw Data Classification and Restoration

Gram: A Large-Scale General EEG Model for Raw Data Classification and Restoration Tasks

Human vs AI: How Digital Human News Anchors Affect Our Cognitive Processes?

Investigating the Effects of Sleep Conditions on Emotion Responses with EEG Signals and Eye Movements

Multi-Scale Attention-Based Dense Spatial-Temporal Model for Emotion Induction in Response to Olfactory Stimuli

Multi-Source Multi-Target Domain Similarity Network for Cross-Cultural EEG Emotion Recognition

Multi-View Self-Supervised Domain Adaptation for EEG-Based Emotion Recognition

Multi-source adversarial adaptation with calibration for electroencephalogram-based classification of meditation and resting states

Multi-to-Single: Reducing Multimodal Dependency in Emotion Recognition Through Contrastive Learning

Multi-view Fusion Transformer for Emotion Recognition Under Sleep Deprivation

Multimodal Emotion Recognition with Missing Modality via a Unified Multi-task Pre-training Framework

SEED-MYA: A Novel Myanmar Multimodal Dataset for Enhancing Emotion Recognition

Collaborators (1)

Yiting Wang

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