activity
20232025
most citedBOXR: Body and head motion Optimization framework for eXtended Reality

4 citations · 4 across the 8 of their papers we have counts for

collaborators

10 papers

eess.SY2025

Low-Cost Sensing and Classification for Early Stress and Disease Detection in Avocado Plants

Abdulrahman Bukhari, Bullo Mamo, Mst Shamima Hossain +5

With rising demands for efficient disease and salinity management in agriculture, early detection of plant stressors is crucial, particularly for high-value crops like avocados. Th…

eess.SY2025

ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs

Ryan Quach, Yidi Wang, Ali Jahanshahi +2

As AI inference becomes mainstream, research has begun to focus on improving the energy consumption of inference servers. Inference kernels commonly underutilize a GPU's compute re…

cs.RO2025

Understanding and Mitigating Network Latency Effect on Teleoperated-Robot with Extended Reality

Ziliang Zhang, Cong Liu, Hyoseung Kim

Robot teleoperation with extended reality (XR teleoperation) enables intuitive interaction by allowing remote robots to mimic user motions with real-time 3D feedback. However, exis…

eess.SY2024★ 4 cited

BOXR: Body and head motion Optimization framework for eXtended Reality

Ziliang Zhang, Zexin Li, Hyoseung Kim +1

The emergence of standalone XR systems has enhanced user mobility, accommodating both subtle, frequent head motions and substantial, less frequent body motions. However, the pervas…

cs.RO2024

Toward a Predictive eXtended Reality Teleoperation System with Duo-Virtual Spaces

Ziliang Zhang, Cong Liu, Hyoseung Kim

Extended Reality (XR) provides a more intuitive interaction method for teleoperating robots compared to traditional 2D controls. Recent studies have laid the groundwork for usable…

cs.DC2024

GCAPS: GPU Context-Aware Preemptive Priority-based Scheduling for Real-Time Tasks

Yidi Wang, Cong Liu, Daniel Wong +1

Scheduling real-time tasks that utilize GPUs with analyzable guarantees poses a significant challenge due to the intricate interaction between CPU and GPU resources, as well as the…

cs.RO2024

PAAM: A Framework for Coordinated and Priority-Driven Accelerator Management in ROS 2

Daniel Enright, Yecheng Xiang, Hyunjong Choi +1

This paper proposes a Priority-driven Accelerator Access Management (PAAM) framework for multi-process robotic applications built on top of the Robot Operating System (ROS) 2 middl…

cs.DC2024

Unleashing the Power of Preemptive Priority-based Scheduling for Real-Time GPU Tasks

Yidi Wang, Cong Liu, Daniel Wong +1

Scheduling real-time tasks that utilize GPUs with analyzable guarantees poses a significant challenge due to the intricate interaction between CPU and GPU resources, as well as the…

eess.SY2023

OpenSense: An Open-World Sensing Framework for Incremental Learning and Dynamic Sensor Scheduling on Embedded Edge Devices

Abdulrahman Bukhari, Seyedmehdi Hosseinimotlagh, Hyoseung Kim

Recent advances in Internet-of-Things (IoT) technologies have sparked significant interest towards developing learning-based sensing applications on embedded edge devices. These ef…

cs.OS2023

CARTOS: A Charging-Aware Real-Time Operating System for Intermittent Batteryless Devices

Mohsen Karimi, Yidi Wang, Youngbin Kim +2

This paper presents CARTOS, a charging-aware real-time operating system designed to enhance the functionality of intermittently-powered batteryless devices (IPDs) for various Inter…