Publications (8)
TuneComp: Joint Fine-tuning and Compression for Large Foundation Models
Xiangyu Chen, Jing Liu, Ye Wang +4
To reduce model size during post-training, compression methods, including knowledge distillation, low-rank approximation, and pruning, are often applied after fine-tuning the model…
Multi-Band Wi-Fi Sensing with Matched Feature Granularity
Jianyuan Yu, Pu, Wang +4
Complementary to the fine-grained channel state information (CSI) from the physical layer and coarse-grained received signal strength indicator (RSSI) measurements, the mid-grained…
LatentLLM: Attention-Aware Joint Tensor Compression
Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu +4
Modern foundation models such as large language models (LLMs) and large multi-modal models (LMMs) require a massive amount of computational and memory resources. We propose a new f…
Hardware-Aware Static Optimization of Hyperdimensional Computations
Pu, Yi, Sara Achour
Binary spatter code (BSC)-based hyperdimensional computing (HDC) is a highly error-resilient approximate computational paradigm suited for error-prone, emerging hardware platforms.…
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras
Chae Young Lee, Pu, Yi +4
We present HyperCam, an energy-efficient image classification pipeline that enables computer vision tasks onboard low-power IoT camera systems. HyperCam leverages hyperdimensional…
Exchangeability in Neural Network and its Application to Dynamic Pruning
Pu, Yi, Tianlang Chen +2
Modern neural networks (NN) contain an ever-growing number of parameters, substantially increasing the memory and computational cost of inference. Researchers have explored various…
EDRP: Enhanced Dynamic Relay Point Protocol for Data Dissemination in Multi-hop Wireless IoT Networks
Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Luis Fujarte +11
Emerging IoT applications are transitioning from battery-powered to grid-powered nodes. DRP, a contention-based data dissemination protocol, was developed for these applications. T…
Multi-Modal Recurrent Fusion for Indoor Localization
Jianyuan Yu, Pu, Wang +2
This paper considers indoor localization using multi-modal wireless signals including Wi-Fi, inertial measurement unit (IMU), and ultra-wideband (UWB). By formulating the localizat…