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Liang Zhao

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Full Professor

University of Sao Paulo

Brazil

Research Interests

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Professors in Neuropsychology

Recent Grants

Grant: Open

Aprendizado de Máquina Baseado em Redes Complexas Multicamadas para Representação e Processamento de Dados Dinâmicos Heterogêneos da Soja

Open Date: 2025-12-01

Close Date: 2027-11-30

Grant: Close

Adaptação de domínio com transferência de aprendizado para predição da produtividade da soja

Open Date: 2025-08-01

Close Date: 2026-07-31

Grant: Close

Detecção de Tumor Cerebral em Imagens Médicas Utilizando Redes Neurais de Grafo

Open Date: 2024-06-01

Close Date: 2025-05-31

Grant: Close

Aprendizado em Redes para Classificação de Alto Nível de Dados Sequenciais

Open Date: 2024-04-01

Close Date: 2025-03-31

Grant: Close

Classificação de Dados em Redes Complexas para Diagnóstico Molecular do Transtorno do Espectro Autista

Open Date: 2022-01-01

Close Date:

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Collaborators (3)

Roberto Fray da Silva

Professor

University of Sao Paulo

BRAZIL

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Renato Tinos

Associate Professor

University of Sao Paulo

BRAZIL

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Yaochu Jin

Alexander von Humboldt Professor for AI

Bielefeld University

GERMANY

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ApplyKite TwinLearns as you apply

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Liang Zhao

Research Interests

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Recent Grants

Articles (20)

Bisection-Based Neighborhood Generation for Local Rule-Based Explainable Artificial Intelligence

The multi-objective algorithms combined with reinforcement learning for distributed hybrid flow-shop scheduling problems

Deep Learning of EEG Signals for Brain Function and Injury: A Systematic Review

Harnessing high-throughput phenotyping and artificial intelligence for soybean breeding: From trait assessment to data-driven decisions

Tri-objective distributed assembly flow shop scheduling with batch delivery: Indicator-Driven and reinforcement learning-enhanced artificial bee colony algorithms

Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle

Explainability and privacy in AI-enabled crop monitoring: Trends and future directions in soybean research

Classification in Psychological Research

Clustering Methods

Coma Etiology Prediction Using a CNN-LSTM Model Guided by EEG Brain Regions

Edge Deployable Weed Detection in UAV Imagery Using YOLOv12 With Scale and Motion Aware Data Augmentation

Overcoming Extreme Sample Scarcity: Deep Learning-Based Real-Time Detection of Cattle Mounting Behavior From UAV Imagery and Video

Problem-Specific Knowledge and Learning-Based Meta-Heuristics for On-Demand Food Delivery Scheduling

Scheduling Aircraft Cabin Door Assembly Line via Q-Learning Strategy-Assisted Particle Swarm Optimizer

Offline reinforcement learning strategies guided meta-heuristics for scheduling bi-objective unmanned surface vessel problems with multiple constraints

A Bioinspired Multimodal CNN-LSTM Network for EEG Analysis of Patients in Coma

Modeling EEG Data into Graphs for the Prognostic of Patients in Coma Using Graph Neural Networks

Pinning synchronization of multiple fractional-order fuzzy complex-valued delayed spatiotemporal neural networks

Coarsening Algorithm Based on Multi-Label Propagation for Knowledge Discovery in Bipartite Networks

TKDP: Threefold Knowledge-Enriched Deep Prompt Tuning for Few-Shot Named Entity Recognition

Collaborators (3)

Roberto Fray da Silva

Renato Tinos

Yaochu Jin

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