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Jialin Yang

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

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