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Liangyi Zhang

dblp:377/9314 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2026
0009-0009-2599-0809ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless sensing and localization · 77% Internet of things and sensor networks · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization › indoor localization
visible light positioning
1.012026
CS-VLP: Lightweight Parameter Update for Cross-Scene Passive Visible Light Positioning · INFOCOM 2026

Methods — techniques the papers use, named apart from their topics

parameter update · 1.0
YearPublicationVenuePosition
2026 CS-VLP: Lightweight Parameter Update for Cross-Scene Passive Visible Light Positioning
Yihuai Xu, Yuxing Yang, Liangyi Zhang, Tianyi Pan, Yimao Sun, Yanbing Yang 0001
INFOCOM4
2025 Optimal SVG Configuration for Enhancing Transient Voltage Stability in Power Systems with High Penetrations of Renewable Energy
abstract
Static Var Generators (SVG) have been widely adopted in renewable power systems to improve voltage stability. The capacity and location of SVG installation in a renewable power system both impact the improvement effect. In this paper, we investigate the optimal SVG configuration that cost-effectively improves the voltage stability of power systems with high renewable energy penetration. First, recognizing the short-circuit ratio as a key and simple indicator of system voltage stability levels, a multi-objective optimization model is established, with objectives of improving the short-circuit ratio of renewable generators and minimizing the overall SVG installation cost. Then, we propose a modified NSGA-II algorithm to solve this model, thus obtaining the number and location for installing the SVGs in a power system. Experiments conducted on the SG118 system, which integrates renewable energy, validate the effectiveness of our proposed method. Our work presents power system operators with an effective measure to maintain the voltage stability of power systems with high penetrations of renewable energy.
Wenshuang Liu, Jie Yang 0099, Xi Zhang 0007, Kui Luo, Tiezhu Wang, Liangyi Zhang, Shouxiang Li, Maobin Lu
ISCAS6
2024 Cubature particle filtering fusion with descent gradient and maximum correntropy for non-Gaussian noise
Quanbo Ge, Liangyi Zhang, Zhongyuan Zhao 0003, Xingguo Zhang, Zhenyu Lu 0002
Neurocomputing2