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Bao-Liang Lu

Professor, Director

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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2026

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2026

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2025

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2025

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2024

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2024

Collaborators (16)

Ricardo Chavarriaga

Head Swiss office, CLAIRE initiative on Human-Centred Artificial Intelligence

Zürcher Hochschule für Angewandte Wissenschaften

SWITZERLAND

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Yiting Wang

Karolinska Institutet

SWEDEN

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Rylie Green

Imperial College London

UNITED KINGDOM

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Hai Zhao

Professor

Shanghai Jiao Tong University

CHINA

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Warren M Grill

Duke University

UNITED STATES

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Alain Destexhe

Research Director

CNRS

FRANCE

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Yael Hanein

Tel Aviv University

ISRAEL

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Cynthia Chestek

University of Michigan

UNITED STATES

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Andrzej Cichocki

Professor

Systems Research Institute

POLAND

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Fabien Lotte

FRANCE

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Wei-Long Zheng

Associate Professer

Shanghai Jiao Tong University

CHINA

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Dario Farina

Imperial College London

UNITED KINGDOM

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Zhe (Sage) Chen

Professor

NYU School of Medicine

UNITED STATES

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Zehong Cao

University of South Australia

AUSTRALIA

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Jacob T. Robinson

Professor

Rice University

UNITED STATES

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David Carlson

Associate Professor

Duke University

UNITED STATES

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Bao-Liang Lu

Research Interests

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Articles (20)

Prediction Consistency and Confidence-Based Proxy Domain Construction for Privacy-Preserving in Cross-Subject EEG Classification

A roadmap to navigate the future of neural engineering

SEED-OLF: A Novel EEG Dataset With Olfactory Stimulation for Emotion Recognition

The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering*

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

EEG-Based emotion monitoring and regulation system by learning the discriminative brain network manifold

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

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

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

BatGPT-Chem: A Foundation Large Model for Chemical Engineering

Document-Level Neural Machine Translation With Document Embeddings

Representation Learning and Foundation Models for Electroencephalography Analyses: Current trends, fundamental insights, and future directions

LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-Based Emotion Recognition

SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition

Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition

Minimizing EEG Human Interference: A Study of an Adaptive EEG Spatial Feature Extraction With Deep Convolutional Neural Networks

Collaborators (16)

Ricardo Chavarriaga

Yiting Wang

Rylie Green

Hai Zhao

Warren M Grill

Alain Destexhe

Yael Hanein

Cynthia Chestek

Andrzej Cichocki

Fabien Lotte

Wei-Long Zheng

Dario Farina

Zhe (Sage) Chen

Zehong Cao

Jacob T. Robinson

David Carlson

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