7 citations · 10 across the 6 of their papers we have counts for
6 papers
mmJoints: Expanding Joint Representations Beyond (x,y,z) in mmWave-Based 3D Pose Estimation
Zhenyu Wang, Mahathir Monjur, Shahriar Nirjon
In mmWave-based pose estimation, sparse signals and weak reflections often cause models to infer body joints from statistical priors rather than sensor data. While prior knowledge…
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun +4
As large language models (LLMs) increasingly shape the AI landscape, fine-tuning pretrained models has become more popular than in the pre-LLM era for achieving optimal performance…
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks
Zhenyu Wang, Shahriar Nirjon
Edge devices, with their widely varying capabilities, support a diverse range of edge AI models. This raises the question: how does an edge model differ from a high-accuracy (base)…
SoundSieve: Seconds-Long Audio Event Recognition on Intermittently-Powered Systems
Mahathir Monjur, Yubo Luo, Zhenyu Wang +1
A fundamental problem of every intermittently-powered sensing system is that signals acquired by these systems over a longer period in time are also intermittent. As a consequence,…
Efficient Multitask Learning on Resource-Constrained Systems
Yubo Luo, Le Zhang, Zhenyu Wang +1
We present Antler, which exploits the affinity between all pairs of tasks in a multitask inference system to construct a compact graph representation of the task set and finds an o…
A Review on Serious Games for Exercise Rehabilitation
Huansheng Ning, Zhenyu Wang, Rongyang Li +2
Disability is an important factor affecting todays society. At the same time, more and more sub-healthy people are sick due to reduced body functions and cognitive functions. Exerc…