87 citations · 153 across the 9 of their papers we have counts for
9 papers
BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach
Albara Ah Ramli, Rex Liu, Rahul Krishnamoorthy +4
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease of the brain and the spinal cord, which leads to paralysis of motor functions. Patients retain their…
Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems
Yuxuan Sun, Xueying Guo, Jinhui Song +4
The vehicular edge computing (VEC) system integrates the computing resources of vehicles, and provides computing services for other vehicles and pedestrians with task offloading. H…
Kernel-based Multi-Task Contextual Bandits in Cellular Network Configuration
Xiaoxiao Wang, Xueying Guo, Jie Chuai +2
Cellular network configuration plays a critical role in network performance. In current practice, network configuration depends heavily on field experience of engineers and often r…
Learning-Based Task Offloading for Vehicular Cloud Computing Systems
Yuxuan Sun, Xueying Guo, Sheng Zhou +3
Vehicular cloud computing (VCC) is proposed to effectively utilize and share the computing and storage resources on vehicles. However, due to the mobility of vehicles, the network…
When Queueing Meets Coding: Optimal-Latency Data Retrieving Scheme in Storage Clouds
Shengbo Chen, Yin Sun, Ulas C. Kozat +5
In this paper, we study the problem of reducing the delay of downloading data from cloud storage systems by leveraging multiple parallel threads, assuming that the data has been en…
Laxity-Based Opportunistic Scheduling with Flow-Level Dynamics and Deadlines
Huasen Wu, Youguang Zhang, Xin Liu
Many data applications in the next generation cellular networks, such as content precaching and video progressive downloading, require flow-level quality of service (QoS) guarantee…
Fast Adaptive S-ALOHA Scheme for Event-driven M2M Communications (Journal version)
Huasen Wu, Chenxi Zhu, Richard J. La +2
Supporting massive device transmission is challenging in Machine-to-Machine (M2M) communications. Particularly, in event-driven M2M communications, a large number of devices activa…
Fast Adaptive S-ALOHA Scheme for Event-driven Machine-to-Machine Communications
Huasen Wu, Chenxi Zhu, Richard J. La +2
Machine-to-Machine (M2M) communication is now playing a market-changing role in a wide range of business world. However, in event-driven M2M communications, a large number of devic…
Geographic Trough Filling for Internet Datacenters
Dan Xu, Xin Liu
To reduce datacenter energy consumption and cost, current practice has considered demand-proportional resource provisioning schemes, where servers are turned on/off according to th…