Xin Jiang

Orcid: 0000-0003-4762-3101

Affiliations:
  • Beihang University, Institute of Artificial Intelligence, Beijing, China


According to our database1, Xin Jiang authored at least 14 papers between 2009 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Real-Time Tool-Path Planning Using Deep Learning for Subtractive Manufacturing.
IEEE Trans. Ind. Informatics, April, 2024

2023
A novel feed rate scheduling method with acc-jerk-continuity and round-off error elimination for non-uniform rational B-spline interpolation.
J. Comput. Des. Eng., January, 2023

2022
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Scattered Points Interpolation with Globally Smooth B-Spline Surface using Iterative Knot Insertion.
Comput. Aided Des., 2022

2021
A novel feed rate scheduling method based on Sigmoid function with chord error and kinematics constraints.
CoRR, 2021

A novel S-shape based NURBS interpolation with acc-jerk- Continuity and round-off error elimination.
CoRR, 2021

KPI Method for Dynamic Surface Reconstruction With B-splines based on Sparse Data.
CoRR, 2021

Robust Ellipsoid-specific Fitting via Expectation Maximization.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Robust Multi-view Registration of Point Sets with Laplacian Mixture Model.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
A fast T-spline fitting method based on efficient region segmentation.
Comput. Appl. Math., 2020

A Physical Process Driven Digital Terrain Model Generating Method Based on D-NURBS.
IEEE Access, 2020

2015
Contagion processes on the static and activity driven coupling networks.
CoRR, 2015

2009
Dynamical characteristics of software trustworthiness and their evolutionary complexity.
Sci. China Ser. F Inf. Sci., 2009

Complexity of software trustworthiness and its dynamical statistical analysis methods.
Sci. China Ser. F Inf. Sci., 2009


  Loading...