activity
20052023
most citedPrediction of two-dimensional nodal-line semimetal in a carbon nitride covalent network

144 citations · 648 across the 63 of their papers we have counts for

collaborators

66 papers

cs.CV2023

Neural Image Compression Using Masked Sparse Visual Representation

Wei Jiang, Wei Wang, Yue Chen

We study neural image compression based on the Sparse Visual Representation (SVR), where images are embedded into a discrete latent space spanned by learned visual codebooks. By sh…

eess.SY2023

A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty

Wei Jiang, Zhongkai Yi, Li Wang +4

Aggregating distributed energy resources in power systems significantly increases uncertainties, in particular caused by the fluctuation of renewable energy generation. This issue…

cs.IT2023★ 3 cited

Opportunistic Reflection in Reconfigurable Intelligent Surface-Assisted Wireless Networks

Wei Jiang, Hans D. Schotten

This paper focuses on multiple-access protocol design in a wireless network assisted by multiple reconfigurable intelligent surfaces (RISs). By extending the existing approaches in…

cs.IT2023★ 4 cited

A Simple Multiple-Access Design for Reconfigurable Intelligent Surface-Aided Systems

Wei Jiang, Hans D. Schotten

This paper focuses on the design of transmission methods and reflection optimization for a wireless system assisted by a single or multiple reconfigurable intelligent surfaces (RIS…

eess.SY2023

Distributed Optimization via Gradient Descent with Event-Triggered Zooming over Quantized Communication

Apostolos I. Rikos, Wei Jiang, Themistoklis Charalambous +1

In this paper, we study unconstrained distributed optimization strongly convex problems, in which the exchange of information in the network is captured by a directed graph topolog…

math.OC2023

Asynchronous Distributed Optimization via ADMM with Efficient Communication

Apostolos I. Rikos, Wei Jiang, Themistoklis Charalambous +1

In this paper, we focus on an asynchronous distributed optimization problem. In our problem, each node is endowed with a convex local cost function, and is able to communicate with…