15 citations · 30 across the 9 of their papers we have counts for
9 papers
Over-the-Air Fusion of Sparse Spatial Features for Integrated Sensing and Edge AI over Broadband Channels
Zhiyan Liu, Qiao Lan, Kaibin Huang
The 6G mobile networks feature two new usage scenarios -- distributed sensing and edge artificial intelligence (AI). Their natural integration, termed integrated sensing and edge A…
Over-the-Air Multi-View Pooling for Distributed Sensing
Zhiyan Liu, Qiao Lan, Anders E. Kalør +2
Sensing is envisioned as a key network function of the 6G mobile networks. Artificial intelligence (AI)-empowered sensing fuses features of multiple sensing views from devices dist…
Semantic Data Sourcing for 6G Edge Intelligence
Kaibin Huang, Qiao Lan, Zhiyan Liu +1
As a new function of 6G networks, edge intelligence refers to the ubiquitous deployment of machine learning and artificial intelligence (AI) algorithms at the network edge to empow…
Resource Allocation for Multiuser Edge Inference with Batching and Early Exiting (Extended Version)
Zhiyan Liu, Qiao Lan, Kaibin Huang
The deployment of inference services at the network edge, called edge inference, offloads computation-intensive inference tasks from mobile devices to edge servers, thereby enhanci…
Progressive Feature Transmission for Split Inference at the Wireless Edge
Qiao Lan, Qunsong Zeng, Petar Popovski +2
In edge inference, an edge server provides remote-inference services to edge devices. This requires the edge devices to upload high-dimensional features of data samples over resour…
What is Semantic Communication? A View on Conveying Meaning in the Era of Machine Intelligence
Qiao Lan, Dingzhu Wen, Zezhong Zhang +4
In 1940s, Claude Shannon developed the information theory focusing on quantifying the maximum data rate that can be supported by a communication channel. Guided by this, the main t…
Capacity of Remote Classification Over Wireless Channels
Qiao Lan, Yuqing Du, Petar Popovski +1
Wireless connectivity creates a computing paradigm that merges communication and inference. A basic operation in this paradigm is the one where a device offloads classification tas…
Simultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation
Qiao Lan, Hyo Seung Kang, Kaibin Huang
The next-generation wireless networks are envisioned to support large-scale sensing and distributed machine learning, thereby enabling new intelligent mobile applications. One comm…
An Introduction to Communication Efficient Edge Machine Learning
Qiao Lan, Zezhong Zhang, Yuqing Du +2
In the near future, Internet-of-Things (IoT) is expected to connect billions of devices (e.g., smartphones and sensors), which generate massive real-time data at the network edge.…