DENOS Lab, University of Calgary ← Back to team
Jialin Yang, PhD Student in Electrical and Software Engineering, DENOS Lab

Jialin Yang

PhD Student in Electrical and Software Engineering, University of Calgary

Large Language Model Application, Knowledge Distillation, Federated Learning

Google Scholar

Biography

Jialin Yang is a PhD student at DENOS Lab working on large language models, knowledge distillation, and federated learning. His work runs from carbon-aware container orchestration, where he surveys task scheduling and predicts workload energy consumption, through to compressing the reasoning of large models into smaller ones.

Projects

Publications

  • arXiv2025

    A Survey on Task Scheduling in Carbon-aware Container Orchestration

    Jialin Yang, Zainab Saad, Jiajun Wu, Xiaoguang Niu, Henry Leung, and Steve Drew

    paper

  • IEEE SWC2025

    Towards Carbon-Aware Container Orchestration: Predicting Workload Energy Consumption with Federated Learning

    Zainab Saad, Jialin Yang, Henry Leung, and Steve Drew

    paper

  • IEEE CASCON2025

    Generating Data Engineering Code Using LLMs

    Jialin Yang, Bart Maciszewski, S. Owolabi, A. Abdellatif, Henry Leung, and Steve Drew

  • IEEE SWC2025

    SPEAR: Soft Prompt Enhanced Anomaly Recognition for Time Series Data

    Leo Wei, Jiajun Wu, Jialin Yang, Henry Leung, and Steve Drew

  • arXiv2026

    Structural Rationale Distillation via Reasoning Space Compression

    Jialin Yang, J. Wang, Jiajun Wu, Henry Leung, Jiayu Zhou, and Steve Drew

    paper

← All team members