All Stories

  1. lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models

    Article • December 2025, ACM (Association for Computing Machinery)

    Assistant Professor Haoxin Wang, Kyungtae Han

  2. PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search

    Article • December 2025, ACM (Association for Computing Machinery)

    Kyungtae Han, Assistant Professor Haoxin Wang

  3. GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices

    Article • February 2025, ACM (Association for Computing Machinery)

    Kyungtae Han, Assistant Professor Haoxin Wang

  4. AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge

    Article • December 2023, ACM (Association for Computing Machinery)

    Kyungtae Han

  5. Measuring, Scoring, and Predicting Energy Efficiency of AI Devices

    Article • December 2023, ACM (Association for Computing Machinery)

    Assistant Professor Haoxin Wang, Kyungtae Han, Jiang (Linda) Xie, Anik Mallik

  6. Poster: Efficient Video Instance Segmentation with Early Exit at the Edge

    Article • December 2023, ACM (Association for Computing Machinery)

    Kyungtae Han

  7. Planning for Automated Vehicles with Human Trust

    Article • ACM Transactions on Cyber-Physical Systems, October 2022, ACM (Association for Computing Machinery)

    Erfan Pakdamanian, Kyungtae Han

  8. Trust-based route planning for automated vehicles

    Article • May 2021, ACM (Association for Computing Machinery)

    Erfan Pakdamanian, Kyungtae Han