135 citations · 305 across the 14 of their papers we have counts for
14 papers
Don't Look Up: Ubiquitous Data Exfiltration Pathways in Commercial Spaces
Anku Adhikari, Samuel Guo, Paris Smaragdis +1
We show that as a side effect of building code requirements, almost all commercial buildings today are vulnerable to a novel data exfiltration attack, even if they are air-gapped a…
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
Prakhar Ganesh, Yao Chen, Yin Yang +2
Performance of object detection models has been growing rapidly on two major fronts, model accuracy and efficiency. However, in order to map deep neural network (DNN) based object…
HaoCL: Harnessing Large-scale Heterogeneous Processors Made Easy
Yao Chen, Xin Long, Jiong He +5
The pervasive adoption of Deep Learning (DL) and Graph Processing (GP) makes it a de facto requirement to build large-scale clusters of heterogeneous accelerators including GPUs an…
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT
Prakhar Ganesh, Yao Chen, Xin Lou +6
Pre-trained Transformer-based models have achieved state-of-the-art performance for various Natural Language Processing (NLP) tasks. However, these models often have billions of pa…
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems
Zijian Li, Ruichu Cai, Kok Soon Chai +7
Data-driven models are becoming essential parts in modern mechanical systems, commonly used to capture the behavior of various equipment and varying environmental characteristics.…
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing
Li Wang, Tom Z. J. Fu, Richard T. B. Ma +2
Elasticity is highly desirable for stream processing systems to guarantee low latency against workload dynamics, such as surges in data arrival rate and fluctuations in data distri…