3 citations · 3 across the 7 of their papers we have counts for
9 papers
Agentic Assistant for 6G: Turn-based Conversations for AI-RAN Hierarchical Co-Management
Udhaya Srinivasan, Weisi Guo
New generations of radio access networks (RAN), especially with native AI services are increasingly difficult for human engineers to manage in real-time. Enterprise networks are of…
Guaranteeing and Explaining Stability across Heterogeneous Load Balancing using Calculus Network Dynamics
Mengbang Zou, Yun Tang, Adolfo Perrusquía +1
Load balancing between base stations (BSs) allows BS capacity to be efficiently utilised and avoid outages. Currently, data-driven mechanisms strive to balance inter-BS load and re…
KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence
Yun Tang, Mengbang Zou, Zeinab Nezami +2
The emergence of large language models (LLMs) and agentic systems is enabling autonomous 6G networks with advanced intelligence, including self-configuration, self-optimization, an…
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Jinsheng Yuan, Yuhang Hao, Weisi Guo +2
Federated Learning (FL) has the potential for simultaneous global learning amongst a large number of parallel agents, enabling emerging AI systems to be trained across demographica…
Data-driven Method to Ensure Cascade Stability of Traffic Load Balancing in O-RAN Based Networks
Mengbang Zou, Yun Tang, Weisi Guo
Load balancing in open radio access networks (O-RAN) is critical for ensuring efficient resource utilization, and the user's experience by evenly distributing network traffic load.…
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data
Mengbang Zou, Weisi Guo
Modeling the evolution of system with time-series data is a challenging and critical task in a wide range of fields, especially when the time-series data is regularly sampled and p…
Cascade Network Stability of Synchronized Traffic Load Balancing with Heterogeneous Energy Efficiency Policies
Mengbang Zou, Weisi Guo
Cascade stability of load balancing is critical for ensuring high efficiency service delivery and preventing undesirable handovers. In energy efficient networks that employ diverse…
Minimize Control Inputs for Strong Structural Controllability Using Reinforcement Learning with Graph Neural Network
Mengbang Zou, Weisi Guo, Bailu Jin
Strong structural controllability (SSC) guarantees networked system with linear-invariant dynamics controllable for all numerical realizations of parameters. Current research has e…
Federated Transformed Learning for a Circular, Secure, and Tiny AI
Weisi Guo, Schyler Sun, Bin Li +1
Deep Learning (DL) is penetrating into a diverse range of mass mobility, smart living, and industrial applications, rapidly transforming the way we live and work. DL is at the hear…