210 citations · 1.1k across the 95 of their papers we have counts for
14 papers · 1 filter
Federated Learning via Over-the-Air Computation
Kai Yang, Tao Jiang, Yuanming Shi +1
The stringent requirements for low-latency and privacy of the emerging high-stake applications with intelligent devices such as drones and smart vehicles make the cloud computing i…
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…
Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow
Jialin Dong, Yuanming Shi, Zhi Ding
Over-the-air computation (AirComp) shows great promise to support fast data fusion in Internet-of-Things (IoT) networks. AirComp typically computes desired functions of distributed…
Fast computation of von Neumann entropy for large-scale graphs via quadratic approximations
Hayoung Choi, Jinglian He, Hang Hu +1
The von Neumann graph entropy (VNGE) can be used as a measure of graph complexity, which can be the measure of information divergence and distance between graphs. However, computin…
Geometric Mean of Partial Positive Definite Matrices with Missing Entries
Hayoung Choi, Sejong Kim, Yuanming Shi
In this paper the geometric mean of partial positive definite matrices with missing entries is considered. The weighted geometric mean of two sets of positive matrices is defined,…
Nonconvex and Nonsmooth Sparse Optimization via Adaptively Iterative Reweighted Methods
Hao Wang, Fan Zhang, Yuanming Shi +1
We propose a general formulation of nonconvex and nonsmooth sparse optimization problems with convex set constraint, which can take into account most existing types of nonconvex sp…
An algebraic-geometric approach for linear regression without correspondences
Manolis C. Tsakiris, Liangzu Peng, Aldo Conca +3
Linear regression without correspondences is the problem of performing a linear regression fit to a dataset for which the correspondences between the independent samples and the ob…
Joint Activity Detection and Channel Estimation for IoT Networks: Phase Transition and Computation-Estimation Tradeoff
Tao Jiang, Yuanming Shi, Jun Zhang +1
Massive device connectivity is a crucial communication challenge for Internet of Things (IoT) networks, which consist of a large number of devices with sporadic traffic. In each co…
Generalized Low-Rank Optimization for Topological Cooperation in Ultra-Dense Networks
Kai Yang, Yuanming Shi, Zhi Ding
Network densification is a natural way to support dense mobile applications under stringent requirements, such as ultra-low latency, ultra-high data rate, and massive connecting de…
Data Shuffling in Wireless Distributed Computing via Low-Rank Optimization
Kai Yang, Yuanming Shi, Zhi Ding
Intelligent mobile platforms such as smart vehicles and drones have recently become the focus of attention for onboard deployment of machine learning mechanisms to enable low laten…
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…
Blind Demixing for Low-Latency Communication
Jialin Dong, Kai Yang, Yuanming Shi
In the next generation wireless networks, lowlatency communication is critical to support emerging diversified applications, e.g., Tactile Internet and Virtual Reality. In this pap…