most citedComputation Offloading with Multiple Agents in Edge-Computing-Supported IoT

90 citations · 139 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Neural Rendering based Urban Scene Reconstruction for Autonomous Driving

Shihao Shen, Louis Kerofsky, Varun Ravi Kumar +1

Dense 3D reconstruction has many applications in automated driving including automated annotation validation, multimodal data augmentation, providing ground truth annotations for s…

cs.DC202328 cited

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…

cs.DC202390 cited

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…

cs.DC202320 cited

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…

cs.CV20231 cited

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…