10 citations · 24 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges
Saurabh Bagchi, Tarek F. Abdelzaher, Ramesh Govindan +4
The field of IoT has blossomed and is positively influencing many application domains. In this paper, we bring out the unique challenges this field poses to research in computer sy…
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…