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Curriculum Vitae

Education

2023.09 – 2026.06

Master of Science in Computer Science and Technology

Shanghai Normal University

College of Information, Mechanical and Electrical Engineering

2018.09 – 2022.06

Bachelor of Engineering in Network Engineering

Nanjing Agricultural University

College of Artificial Intelligence

Relevant Coursework: Artificial Intelligence, Data Mining, Optimization Theory, Cloud Computing and Big Data, Software Engineering


Publications

ICME 2026 (Accepted)

Jianguo Pan, Jiawen Gu, Shunye Wang, Yewei Zhou, Peichi Zhou, Yuan Yang. Generalizable Sensor-Based Human Activity Recognition via Seasonal Style Projection and Trend Feature Disentanglement*.

IEEE TETCI (Under Review)

Jianguo Pan, Jiawen Gu, Lingdun Zhang, Shunye Wang, Peichi Zhou, Yuan Yang. Generalizable Sensor-Based Activity Recognition via Meta-Feature Alignment*.


Technical Skills

Python PyTorch Deep Learning Domain Generalization Human Activity Recognition Meta-Learning LLM Transformer LoRA vLLM

Awards & Honors

Year Award
2025 First Prize, Shanghai Informatics Society Excellent Achievement Award
2025 Excellent Paper Award, 19th Graduate Academic Forum
2025 Second Prize (National), China Graduate Mathematical Modeling Competition
2023-2024 Third-Class Graduate Scholarship, Shanghai Normal University
2021 Progress Scholarship, Nanjing Agricultural University
2019 Second-Class Scholarship for Excellent Students, Nanjing Agricultural University

Service & Professional Development

Academic Service

  • Reviewer, IEEE International Conference on Multimedia and Expo (ICME) 2026
  • Reviewer, IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) 2025–2026
  • STEM Education Volunteer: Delivered 3D printing workshops for primary/secondary school students

Professional Development

  • Advanced training in machine learning, domain generalization, optimization
  • Extensive hands-on experience in PyTorch-based deep learning
  • Focus on HAR, cross-domain generalization, and lightweight LLM development

Contact

Item Info
📧 Email 1006893541@qq.com
🔗 GitHub github.com/gujiawen777
📍 Location Shanghai, China