90 citations · 152 across the 8 of their papers we have counts for
8 papers
EdgeMatrix: A Resource-Redefined Scheduling Framework for SLA-Guaranteed Multi-Tier Edge-Cloud Computing Systems
Shihao Shen, Yuanming Ren, Yanli Ju +3
With the development of networking technology, the computing system has evolved towards the multi-tier paradigm gradually. However, challenges, such as multi-resource heterogeneity…
Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT
Shihao Shen, Yiwen Han, Xiaofei Wang +1
With the development of the Internet of Things (IoT) and the birth of various new IoT devices, the capacity of massive IoT devices is facing challenges. Fortunately, edge computing…
Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network
Shihao Shen, Yiwen Han, Xiaofei Wang +2
Kubernetes (k8s) has the potential to coordinate distributed edge resources and centralized cloud resources, but currently lacks a specialized scheduling framework for edge-cloud n…
Optical Flow for Autonomous Driving: Applications, Challenges and Improvements
Shihao Shen, Louis Kerofsky, Senthil Yogamani
Optical flow estimation is a well-studied topic for automated driving applications. Many outstanding optical flow estimation methods have been proposed, but they become erroneous w…
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments
Shihao Shen, Yilin Cai, Wenshan Wang +1
Learning-based visual odometry (VO) algorithms achieve remarkable performance on common static scenes, benefiting from high-capacity models and massive annotated data, but tend to…
Dynamic Dense RGB-D SLAM using Learning-based Visual Odometry
Shihao Shen, Yilin Cai, Jiayi Qiu +1
We propose a dense dynamic RGB-D SLAM pipeline based on a learning-based visual odometry, TartanVO. TartanVO, like other direct methods rather than feature-based, estimates camera…
EdgeMatrix: A Resources Redefined Edge-Cloud System for Prioritized Services
Yuanming Ren, Shihao Shen, Yanli Ju +3
The edge-cloud system has the potential to combine the advantages of heterogeneous devices and truly realize ubiquitous computing. However, for service providers to guarantee the S…
Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System
Yiwen Han, Shihao Shen, Xiaofei Wang +2
Kubernetes (k8s) has the potential to merge the distributed edge and the cloud but lacks a scheduling framework specifically for edge-cloud systems. Besides, the hierarchical distr…