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Chenrui Xu

dblp:228/1282 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0004-9563-9065ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 100%

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

TopicWeightPapersLastEvidence papers
Environmental and earth informatics
meteorology		 1.012026
KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite · KDD (1) 2026

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

spline parameterization · 2.0physics-based modeling · 2.0
YearPublicationVenuePosition
2026 KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite
Jiakang Shen, Qinghui Chen, Runtong Wang, Chenrui Xu, Jinglin Zhang 0001, Cong Bai, Feng Zhang 0041
 KDD (1)4
2018 Finite-Time ℒ2 Leader-Follower Consensus of Networked Euler-Lagrange Systems With External Disturbances
abstract
This paper is concerned with finite-time L2leader-follower consensus of networked Euler-Lagrange systems in the presence of external disturbances. A distributed finite-time L2control protocol is proposed by using backstepping design such that a group of follower agents modeled by Euler-Lagrange systems can follow a desired leader agent and achieve leader-follower consensus in finite time. Moreover, the finite-time L2gain is less than or equal to a prescribed value. A simulation example of a network composed of seven two-link manipulators is given to show the effectiveness of the theoretical results.
Wangli He, Chenrui Xu, Qing-Long Han, Feng Qian 0004, Zi-Qiang Lang
 IEEE Trans. Syst. Man Cybern. Syst.2