116 citations · 196 across the 22 of their papers we have counts for
4 papers · 1 filter
LORM: Learning to Optimize for Resource Management in Wireless Networks with Few Training Samples
Yifei Shen, Yuanming Shi, Jun Zhang +1
Effective resource management plays a pivotal role in wireless networks, which, unfortunately, results in challenging mixed-integer nonlinear programming (MINLP) problems in most c…
Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks
Yifei Shen, Yuanming Shi, Jun Zhang +1
Effective resource allocation plays a pivotal role for performance optimization in wireless networks. Unfortunately, typical resource allocation problems are mixed-integer nonlinea…
Scalable network adaptation for Cloud-RANs: An imitation learning approach
Yifei Shen, Yuanming Shi, Jun Zhang +1
Network adaptation is essential for the efficient operation of Cloud-RANs. Unfortunately, it leads to highly intractable mixed-integer nonlinear programming problems. Existing solu…
Comparing large-scale graphs based on quantum probability theory
Hayoung Choi, Hosoo Lee, Yifei Shen +1
In this paper, a new measurement to compare two large-scale graphs based on the theory of quantum probability is proposed. An explicit form for the spectral distribution of the cor…