output
20152026
most citedA Path to Smart Radio Environments: An Industrial Viewpoint on Reconfigurable Intelligent Surfaces

188 citations

42 papers

eess.SP2026

Low-Complexity Neural Pursuit for Line Spectral Estimation

Chenchen Liu, Wenjun Jiang, Xiaojun Yuan

In this paper, we propose a high-precision yet low-complexity framework, termed Neural Pursuit for Line Spectral Estimation (NeuPLSE), for off-grid line spectral estimation from a…

cs.NE2026

A Scalable Benchmark Test Suite for Dynamic Multi-Objective Optimization with a Changing Number of Objectives

Ke Shang, Zhiyun Xiao, Yuxuan Liu +3

Dynamic multi-objective optimization with a changing number of objectives has recently attracted increasing attention due to its relevance to real-world problems whose evaluation c…

cs.DC2026

LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts Training

Xinyi Liu, Yujie Wang, Fangcheng Fu +4

Expert parallelism is vital for effectively training Mixture-of-Experts (MoE) models, enabling different devices to host distinct experts, with each device processing different inp…

cs.IT2025★ 4 cited

RIS-Enabled UAV Communications and Sensing: Opportunities, Challenges, and Key Technologies

Yajun Zhao, Mengnan Jian, Yifei Yuan

Unmanned Aerial Vehicles (UAVs) play a pivotal role in the emerging low-altitude economy. However, they face significant challenges in achieving reliable network coverage during tr…

eess.SP2025★ 7 cited

Intelligent Metasurface-Enabled Integrated Sensing and Communication: Unified Framework and Key Technologies

Shunyu Li, Tianqi Mao, Guangyao Liu +6

As the demand for ubiquitous connectivity and high-precision environmental awareness grows, integrated sensing and communication (ISAC) has emerged as a key technology for sixth-ge…

cs.SE2025

PredicateFix: Repairing Static Analysis Alerts with Bridging Predicates

Yuan-An Xiao, Weixuan Wang, Dong Liu +3

Fixing static analysis alerts in source code with Large Language Models (LLMs) is becoming increasingly popular. However, LLMs often hallucinate and perform poorly for complex and…