Raymond H. Ho

Optimum Technologies (United States) — United States

Neuroscience · Life Sciences

24h-index2.0kcitations92works1.62yr avg
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Research Topics

Neuropeptides and Animal Physiology(29), Pain Mechanisms and Treatments(14), Neuroscience and Neuropharmacology Research(11), EEG and Brain-Computer Interfaces(8), Neurogenesis and neuroplasticity mechanisms(8)

Publications91 total

EAQAS: Embedding-Aware Quantum Architecture Search via cross-attention fusion and hierarchical representation learning
EPJ Quantum Technology·2026Open Access
The Clinical Utility of the Objective Measures for Diagnosing and Monitoring Attention Deficit and Hyperactivity Disorder (ADHD) in Adults: A Systematic Review
2025Open Access
Integrated photonic platform with high-speed entanglement generation and witnessing
Optica·2025· 1 citedOpen Access
Parallel Implementation of Ensemble Empirical Mode Decomposition in EEG Signal Processing
2025
Optimizing Confidence Scoring in RAG-Based LLM Chatbots for Technical Support Services: A Prompt Engineering Approach
2025· 2 cited
Exploring Functional Connectivity in Attention Deficit/Hyperactivity Disorder: A Functional Near-Infrared Spectroscopy Study With Machine Learning Analysis
IEEE Journal of Biomedical and Health Informatics·2025· 2 citedOpen Access
EEG-Based Dementia Classification Using CS-EMD Synchrony Features and Quantum Machine Learning
IEEE Transactions on Consumer Electronics·2025· 2 citedOpen Access
CEEMD-based Multivariate Financial Time Series Forecasting using a Temporal Fusion Transformer
2024· 6 cited
Exploring Quantum Machine Learning for Electroencephalogram Classification
2023· 1 cited
Provably-secure quantum randomness expansion with uncharacterised homodyne detection
Nature Communications·2023· 27 citedOpen Access
Quantum random number generation with uncharacterised homodyne detection
2023
Single-photon path entanglement based on integrated silicon photonics
2023· 1 cited
Performance Comparison of Machine Learning Algorithms in Dementia Classification Using Electroencephalogram Decomposition
TENCON 2022 - 2022 IEEE Region 10 Conference (TENCON)·2022· 1 cited
EEG analysis and classification based on cardinal spline empirical mode decomposition and synchrony features
Medical & Biological Engineering & Computing·2022· 7 cited
Provably-secure quantum randomness expansion with uncharacterised homodyne detection
arXiv (Cornell University)·2022· 2 citedOpen Access
Empirical Mode Decomposition Method Based on Cardinal Spline and its Application on Electroencephalogram Decomposition
2022· 5 cited
COVID-19 vaccine acceptance and hesitancy among ethnic minorities in Hong Kong
Human Vaccines & Immunotherapeutics·2022· 6 citedOpen Access
Computational investigation of emboli behaviour during aortic cannulation
2022Open Access
Benchmarking a Quantum Random Number Generator with Machine Learning
Quantum Information and Measurement VI 2021·2021
Quantum Randomness Expansion with Uncharacterized Homodyne Detection Secure against Quantum Side-Information
Quantum Information and Measurement VI 2021·2021
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Frequent Co-authors

George F. Martin(16), Georgia A. Bishop(7), F.J. Ditirro(6), James S. King(6), T. Cabana(5), A.O. Humbertson(5), Samuel M. McCann(4), M. Arisawa(3), Louis DePalatis(3), Ronda R. Pindzola(3), Gary D. Snyder(2), Wai Haung Yu(2), George Pan(2), Peter Cassini(2), Richard W. Burry(2), R. Waltzer(2), James C. Hazlett(2), Ayalla Barnea(2), W. Y. Lau(1), Simone S.M. Ho(1)