Xinyu Zhou

Wireless Signal Modulation Classification SARS-CoV-2 and COVID-19 Research COVID-19 epidemiological studies Nanoplatforms for cancer theranostics Domain Adaptation and Few-Shot Learning

Publications

Citations

198

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2019

Research summary

AI-generated

Xinyu Zhou works in computer science with research spanning several areas, including machine learning methods for continual and class-incremental learning (systems that learn new tasks without forgetting old ones), radio-frequency fingerprinting for identifying wireless devices, and computational contributions to biomedical topics such as cancer therapy and gene expression databases. The work often applies data-driven and neural network techniques across these different application domains.

Continual and class-incremental machine learningRadio-frequency device fingerprinting and identificationDeep learning / neural networksComputational biomedicine and cancer researchMultimodal data analysis

Publication activity has been intermittent but appears to be growing recently, with the highest output occurring in 2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.0/year recently

Recent publications

CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning
IEEE Transactions on Neural Networks and Learning Systems · 2026
Charting the expression landscape of human long non-coding RNAs across diverse biological contexts with LncExpDB 2.0
Nucleic Acids Research · 2025
Effective Generative Replay with Strong Memory for Continual Learning
Knowledge-Based Systems · 2025
Cancer Immunotherapy Based on the Bidirectional Reprogramming of the Tumor Microenvironment by a “Brakes Off/ Step on the Accelerator” Core‐Shell Manganese Phosphate/siPD‐L1 Modulator
Exploration · 2025
Multimodal lung cancer theranostics via manganese phosphate/quercetin particle
Molecular Cancer · 2025
A Robust Radio-Frequency Fingerprint Extraction Scheme for Practical Device Recognition
IEEE Internet of Things Journal · 2021
A Convolutional Neural Network-Based RF Fingerprinting Identification Scheme for Mobile Phones
2020
Design of a Robust RF Fingerprint Generation and Classification Scheme for Practical Device Identification
2019

Publishes in

bioRxiv (Cold Spring Harbor Laboratory)×2
IEEE Internet of Things Journal×1
Molecular Cancer×1
Exploration×1
Knowledge-Based Systems×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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