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Zonglin-He/README.md

๐Ÿง‘โ€๐Ÿ’ป He Zonglin | Java Backend Developer & ML Researcher

๐ŸŽ“ Undergraduate in Computer Science @ Wenzhou-Kean University
๐Ÿ” Research: Test-Time Adaptation (TTA) ยท Domain Adaptation (DA) ยท Time-Series Modeling

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๐Ÿ“ซ Contact


๐Ÿงฐ Languages & Tools

Category Tools
Backend Java Spring Boot
Database MySQL Redis
DevOps Docker RabbitMQ
Frontend Vue.js
ML & Data Python PyTorch

๐Ÿ“š Featured Projects

  • EEG-Emotion-MLP โ€” Predicting arousal and valence from single-channel EEG signals using a multilayer perceptron (MLP).
  • StudySphere โ€” Full-stack learning forum for course discussions using Spring Boot (JWT, RabbitMQ, Redis, MinIO) and Vue3/Element Plus frontend.
  • ServerOperationsMonitoringSystem โ€” Full-stack server O&M monitoring platform built with Spring Boot, Vue3, InfluxDB, and JWT-secured agents.

๐Ÿ“Š GitHub Stats


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Popular repositories Loading

  1. EEG-Emotion-MLP EEG-Emotion-MLP Public

    Predicting arousal and valence from single-channel EEG signals using a multilayer perceptron (MLP).

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  2. StudySphere StudySphere Public

    Full-stack learning forum for course discussions โ€” Spring Boot backend (JWT, RabbitMQ email queue, MyBatis-Plus, Redis, MinIO) and Vue 3/Element Plus frontend. Includes login/verification, topic poโ€ฆ

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  3. Augmented-Contrastive-Clustering Augmented-Contrastive-Clustering Public

    ACCUP: PyTorch reproduction and practical guide for Augmented Contrastive Clustering with Uncertainty-Aware Prototyping โ€” a test-time adaptation method for time-series classification that ensemblesโ€ฆ

    Python 1

  4. ServerOperationsMonitoringSystem ServerOperationsMonitoringSystem Public

    A full-stack server O&M monitoring platform built with Spring Boot, Vue 3, and InfluxDB. It authenticates with JWT, onboards agents via one-time tokens, streams OS/CPU/MEM/DISK/NET metrics, and proโ€ฆ

    Java 1

  5. model model Public

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  6. ACCUP-OFTTA ACCUP-OFTTA Public

    ACCUP + OFTTA is a PyTorch toolkit for source-free test-time adaptation on time-series. It combines uncertainty-aware prototypes (ACCUP) with optimization-free EDTN and prototype adjustment (OFTTA)โ€ฆ

    Python 1