10 citations · 21 across the 7 of their papers we have counts for
8 papers
Pin Once, Swap Light: Subspace-Aligned Centroid-Residual Training for Efficient Ultra-LoRA Serving
Xiang Li, Pengcheng Wang, Huazheng Wang +1
Modern multi-tenant Low-Rank Adapters (LoRAs) serving systems concurrently host tens to hundreds of LoRA adapters. Though powerful, this introduces a critical system dilemma betwee…
Look Less, Think Faster: Joint Token-Compute Adaptation for Multimodal LLMs
Pengcheng Wang, Zhiquan Wang, Jayoung Lee +5
Multimodal Large Language Models (MLLMs) have recently demonstrated strong performance across vision-language tasks. However, their high inference cost, arising from both the large…
An Open Dataset of Sensor Data from Soil Sensors and Weather Stations at Production Farms
Charilaos Mousoulis, Pengcheng Wang, Nguyen Luu Do +5
Weather and soil conditions are particularly important when it comes to farming activities. Study of these factors and their role in nutrient and nitrate absorption rates can lead…
Virtuoso: Video-based Intelligence for real-time tuning on SOCs
Jayoung Lee, PengCheng Wang, Ran Xu +5
Efficient and adaptive computer vision systems have been proposed to make computer vision tasks, such as image classification and object detection, optimized for embedded or mobile…
ORPHEUS: Living Labs for End-to-End Data Infrastructures for Digital Agriculture
Pengcheng Wang, Edgardo Barsallo Yi, Tomas Ratkus +1
IoT networks are being used to collect, analyze, and utilize sensor data. There are still some key requirements to leverage IoT networks in digital agriculture, e.g., design and de…
JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads
Karthick Shankar, Pengcheng Wang, Ran Xu +2
With diverse IoT workloads, placing compute and analytics close to where data is collected is becoming increasingly important. We seek to understand what is the performance and the…
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
Ran Xu, Chen-lin Zhang, Pengcheng Wang +5
Advanced video analytic systems, including scene classification and object detection, have seen widespread success in various domains such as smart cities and autonomous transporta…
ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients
Ran Xu, Rakesh Kumar, Pengcheng Wang +5
Videos take a lot of time to transport over the network, hence running analytics on the live video on embedded or mobile devices has become an important system driver. Considering…