activity
20142020
most citedProvably Delay Efficient Data Retrieving in Storage Clouds

32 citations · 41 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2020

Partial Weight Adaptation for Robust DNN Inference

Xiufeng Xie, Kyu-Han Kim

Mainstream video analytics uses a pre-trained DNN model with an assumption that inference input and training data follow the same probability distribution. However, this assumption…

cs.CV2020★ 5 cited

Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping

Xiaochen Liu, Yurong Jiang, Kyu-Han Kim +1

Cashier-free shopping systems like Amazon Go improve shopping experience, but can require significant store redesign. In this paper, we propose Grab, a practical system that levera…

cs.MM2019

Handcrafted vs Deep Learning Classification for Scalable Video QoE Modeling

Dasari Mallesham, Christina Vlachou, Shruti Sanadhya +4

Mobile video traffic is dominant in cellular and enterprise wireless networks. With the advent of diverse applications, network administrators face the challenge to provide high Qo…

cs.NI2016★ 1 cited

Towards Designing PLC Networks for Ubiquitous Connectivity in Enterprises

Kamran Ali, Ioannis Pefkianakis, Alex X. Liu +1

Powerline communication (PLC) provides inexpensive, secure and high speed network connectivity, by leveraging the existing power distribution networks inside the buildings. While P…

cs.DC2015★ 32 cited

Provably Delay Efficient Data Retrieving in Storage Clouds

Yin Sun, Zizhan Zheng, C. Emre Koksal +2

One key requirement for storage clouds is to be able to retrieve data quickly. Recent system measurements have shown that the data retrieving delay in storage clouds is highly vari…

cs.IT2014★ 3 cited

Scheduling of Multicast and Unicast Services under Limited Feedback by using Rateless Codes

Yin Sun, C. Emre Koksal, Kyu-Han Kim +1

Many opportunistic scheduling techniques are impractical because they require accurate channel state information (CSI) at the transmitter. In this paper, we investigate the schedul…