Xincheng Liu

Orcid: 0009-0009-3910-0272

According to our database1, Xincheng Liu authored at least 14 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CD-DPC: Centrifugal degree based density peaks clustering algorithm.
Pattern Recognit., 2026

Event-based optimal stealthy attacks in networked control systems with local and remote controllers.
J. Frankl. Inst., 2026

Evaluation of Thermal and Power integrity and its Impact on Performance for 3D Memory-on-Logic CPUs with FSPDN and BSPDN.
Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025
Arbitrary Convergence Time Control of Unmanned Aerial Manipulator for Active Interaction and Dynamic Tracking.
IEEE Trans. Ind. Electron., December, 2025

An Evaluation of the Pedagogical Soundness and Usability of AI-Generated Lesson Plans Across Different Models and Prompt Frameworks in High-School Physics.
CoRR, October, 2025

Virtual regularized bipartite graph learning for multi-view subspace clustering.
Knowl. Based Syst., 2025

DPC-MFP: An adaptive density peaks clustering algorithm with multiple feature points.
Neurocomputing, 2025

2024
Adaptive Stiffness Visual Servoing for Unmanned Aerial Manipulators With Prescribed Performance.
IEEE Trans. Ind. Electron., September, 2024

Density peaks clustering based on superior nodes and fuzzy correlation.
Inf. Sci., 2024

Density peaks clustering based on density voting and neighborhood diffusion.
Inf. Sci., 2024

Arbitrary Convergence Time Control for Aerial Manipulator with TSK Estimator.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2024

2023
EFTrack: A Lightweight Siamese Network for Aerial Object Tracking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021
Physically based modeling and rendering of avalanches.
Vis. Comput., 2021

2016
A General Collaborative Framework for Modeling and Perceiving Distributed Network Behavior.
IEEE/ACM Trans. Netw., 2016


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