Houming Qiu - IEEE Xplore Author Profile

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Recently, 3D semantic maps have played an increasingly important role in high-precision robot localization and scene understanding. However, real-time construction of semantic maps requires mobile edge devices with extremely high computing power, which are expensive and limit the widespread application of semantic mapping. In order to address this limitation, inspired by cloud-edge collaborative c...Show More
The Metaverse is recognized as the next-generation Internet that provides immersive interaction experiences for users. Convolutional neural networks (CNNs) play a crucial role in providing strong immersive experiences in the Metaverse. However, the Metaverse faces challenges in meeting the escalating demands for computing and storage resources due to the explosive growth of convolution tasks, resu...Show More
The Industrial Metaverse is driving a new revolution wave for smart manufacturing domain by reproducing the real industrial environment in a virtual space. Real-time synchronization and rendering of all industrial factors result in numerous time-sensitive and computation-intensive tasks, especially matrix multiplication. Distributed edge computing (DEC) can be exploited to handle these tasks due t...Show More
Metaverse is an immersive and photorealistic shared virtual world that requires efficient rendering and processing of millions of virtual objects and scenes. This leads to the requirements of computing time-sensitive and computation-intensive tasks, primarily focused on matrix multiplication. Cloud computing can be leveraged to process computation-intensive tasks. However, it is not able to meet t...Show More
Leveraging mobile edge computing (MEC) for task offloading is an effective strategy to address the computational limitations of mobile devices. However, current offloading strategies largely cater to user-centric objectives, neglecting the motives of service providers, unintentionally diminishing their profits. In this work, we propose a novel allocation strategy to improve resource utilization ef...Show More
Edge computing as a promising technology provides lower latency, more efficient transmission, and faster speed of data processing since the edge servers are closer to the user devices. Each edge server with limited resources can offload latency-sensitive and computation-intensive tasks from nearby user devices. However, edge computing faces challenges such as resource allocation, energy consumptio...Show More