😎 Self Introduction
INFJ-A · Otaku · Strong learning ability · Abstract · Easy-going · Good-natured · Driven by idealism · Decent cooking skills · 🐟
💻 Technical Skills
Research Areas: Time Series Forecasting, Graph Neural Networks (GNN), Network Intrusion Detection, Traffic Analysis
Programming Languages: Python, C/C++, C#
Current Interests: Deep Learning, Data & Network & Binary Security
Current Research: ☝️🤓 Deep Learning & AI Agent
📕 Paper & Patent
Semi-supervised few-shot network intrusion detection based on meta-learning, IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics), 2023
Meta-HFMD: A Hierarchical Feature Fusion Malware Detection Framework via Multi-task Meta-learning, International Conference on Frontiers in Cyber Security, 2023
Network Traffic Prediction Method Based on Multi-Level Decoupling and Spatio-Temporal Modeling, Master Thesis, 2025
基于多层次时频分解与图神经网络的异常流量检测方法, Patent, 2025
一种基于元学习的多层次特征融合恶意软件检测方法, Patent, 2023
🎓 EDUCATION
Master, Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu China ,2022.09 - 2025.06
Bachelor, Software Engineering, Chengdu University of Information Technology (CUIT), Chengdu China ,2017.09 - 2021.06
🏆 AWARDS
Third-class Academic Scholarship for Graduate Students, 2022-2023, (UESTC)
Third-class Academic Scholarship for Graduate Students, 2024-2025, (UESTC)
Second-class Academic Scholarship, 2017-2018, (CUIT)
Third-class Academic Scholarship, 2018-2019, (CUIT)
🔧 Internships
PLM,Siemens Industrial Automation Products Ltd, Chengdu, 2024.07 - 2024.09