31 citations · 73 across the 15 of their papers we have counts for
15 papers
Practical Post-Quantum Cryptography for Bandwidth Constrained or Non-Terrestrial Networks, and Power Constrained Devices
Elliot Eichen, Sylvia Llosa, Yueqi Chen +1
Post-quantum (PQ) cryptographic algorithms, particularly for authentication, are more complex than classical algorithms and require larger certificates, signatures, and keys. Estab…
FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
Weipeng Zhuo, Ka Ho Chiu, Jierun Chen +4
Floor labels of crowdsourced RF signals are crucial for many smart-city applications, such as multi-floor indoor localization, geofencing, and robot surveillance. To build a predic…
A Large-Scale Study of a Sleep Tracking and Improving Device with Closed-loop and Personalized Real-time Acoustic Stimulation
Anh Nguyen, Galen Pogoncheff, Ban Xuan Dong +8
Various intervention therapies ranging from pharmaceutical to hi-tech tailored solutions have been available to treat difficulty in falling asleep commonly caused by insomnia in mo…
GRAFICS: Graph Embedding-based Floor Identification Using Crowdsourced RF Signals
Weipeng Zhuo, Ziqi Zhao, Ka Ho Chiu +4
We study the problem of floor identification for radiofrequency (RF) signal samples obtained in a crowdsourced manner, where the signal samples are highly heterogeneous and most sa…
Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services
Weipeng Zhuo, Ka Ho Chiu, Jierun Chen +5
In applications such as elderly care, dementia anti-wandering and pandemic control, it is important to ensure that people are within a predefined area for their safety and well-bei…
A Fresh Look at ECN Traversal in the Wild
Hyoyoung Lim, Seonwoo Kim, Jackson Sippe +7
The Explicit Congestion Notification (ECN) field has taken on new importance due to Low Latency, Low Loss, and Scalable throughput (L4S) technology designed for extremely latency-s…
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution
Taeho Kim, Yongin Kwon, Jemin Lee +1
Mobile devices run deep learning models for various purposes, such as image classification and speech recognition. Due to the resource constraints of mobile devices, researchers ha…
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
Jierun Chen, Tianlang He, Weipeng Zhuo +3
As convolution has empowered many smart applications, dynamic convolution further equips it with the ability to adapt to diverse inputs. However, the static and dynamic convolution…
Elasticizing Linux via Joint Disaggregation of Memory and Computation
Ehab Ababneh, Zaid Al-Ali, Sangtae Ha +2
In this paper, we propose a set of operating system primitives which provides a scaling abstraction to cloud applications in which they can transparently be enabled to support scal…
FluidMem: Memory as a Service for the Datacenter
Blake Caldwell, Youngbin Im, Sangtae Ha +2
Disaggregating resources in data centers is an emerging trend. Recent work has begun to explore memory disaggregation, but suffers limitations including lack of consideration of th…
AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs
Youngbin Im, Carlee Joe-Wong, Sangtae Ha +3
To cope with recent exponential increases in demand for mobile data, wireless Internet service providers (ISPs) are increasingly changing their pricing plans and deploying WiFi hot…
The Cloud Needs a Reputation System
Murad Kablan, Carlee Joe-Won, Sangtae Ha +2
Today's cloud apps are built from many diverse services that are managed by different parties. At the same time, these parties, which consume and/or provide services, continue to r…
Mind Your Own Bandwidth: An Edge Solution to Peak-hour Broadband Congestion
Felix Ming Fai Wong, Carlee Joe-Wong, Sangtae Ha +2
Motivated by recent increases in network traffic, we propose a decentralized network edge-based solution to peak-hour broadband congestion that incentivizes users to moderate their…
Offering Supplementary Network Technologies: Adoption Behavior and Offloading Benefits
Carlee Joe-Wong, Soumya Sen, Sangtae Ha
To alleviate the congestion caused by rapid growth in demand for mobile data, wireless service providers (WSPs) have begun encouraging users to offload some of their traffic onto s…
A Survey of Smart Data Pricing: Past Proposals, Current Plans, and Future Trends
Soumya Sen, Carlee Joe-Wong, Sangtae Ha +1
Traditionally, network operators have used simple flat-rate broadband data plans for both wired and wireless network access. But today, with the popularity of mobile devices and ex…