Xinyi Le

Orcid: 0000-0003-0318-9497

According to our database1, Xinyi Le authored at least 67 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
LFT: Neural Ordinary Differential Equations With Learnable Final-Time.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Surface Reconstruction Using Geometric Features and Machining Process.
IEEE Trans. Instrum. Meas., 2024

GTA: A Benchmark for General Tool Agents.
CoRR, 2024

Research on Job Scheduling Method for Metallurgical Equipment Manufacturing Workshop Based on Genetic Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

2023
Workspace decomposition based path planning for fruit-picking robot in complex greenhouse environment.
Comput. Electron. Agric., December, 2023

Optimal sensor scheduling for state estimation under limited channel resources.
J. Frankl. Inst., November, 2023

SPINet: self-supervised point cloud frame interpolation network.
Neural Comput. Appl., May, 2023

Real-Time Dynamic Planning and Tracking Control of Auto-Docking for Efficient Wireless Charging.
IEEE Trans. Intell. Veh., March, 2023

A Novel Local Feature Descriptor and an Accurate Transformation Estimation Method for 3-D Point Cloud Registration.
IEEE Trans. Instrum. Meas., 2023

Few-shot Object Counting with Similarity-Aware Feature Enhancement.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Code Generation from Natural Language Using Two-Way Pre-Training.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

Adaptive Hinge Balance Loss for Document-Level Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Neural Process Enhanced Machining Error Evaluation for Coordinate Measuring Machines.
IEEE Trans. Instrum. Meas., 2022

Exposure Map Fusion for Precise 3-D Reconstruction of High Dynamic Range Surfaces.
IEEE Trans. Instrum. Meas., 2022

Accommodating Strategic Players in Distributed Algorithms for Power Dispatch Problems.
IEEE Trans. Cybern., 2022

UTRAD: Anomaly detection and localization with U-Transformer.
Neural Networks, 2022

Realizing balanced object detection through prior location scale information and repulsive loss.
Neurocomputing, 2022

DefectGAN: Generate Industrial Defects from Extremely Few Samples.
Int. J. Artif. Intell. Tools, 2022

The Z-axis, X-axis, Weight and Disambiguation Methods for Constructing Local Reference Frame in 3D Registration: An Evaluation.
CoRR, 2022

Iterative Correlation-based Feature Refinement for Few-shot Counting.
CoRR, 2022

A Unified Model for Multi-class Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ADTR: Anomaly Detection Transformer with Feature Reconstruction.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Knowledge-Based Scene Text Recognition for Industrial Applications.
Proceedings of the IEEE International Conference on Industrial Technology, 2022

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Comprehensive Performance Evaluation of 3-D Transformation Estimation Techniques in Point Cloud Registration.
IEEE Trans. Instrum. Meas., 2021

A Distributed Optimization Algorithm Based on Multiagent Network for Economic Dispatch With Region Partitioning.
IEEE Trans. Cybern., 2021

Detecting slender objects with uncertainty based on keypoint-displacement representation.
Neural Networks, 2021

Soft matching network with application to defect inspection.
Knowl. Based Syst., 2021

RL-DARTS: Differentiable neural architecture search via reinforcement-learning-based meta-optimizer.
Knowl. Based Syst., 2021

Indoor Localization Using Bidirectional LSTM Networks.
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020
Point Encoder GAN: A deep learning model for 3D point cloud inpainting.
Neurocomputing, 2020

A learning-based approach for surface defect detection using small image datasets.
Neurocomputing, 2020

A quantitative evaluation of comprehensive 3D local descriptors generated with spatial and geometrical features.
Comput. Vis. Image Underst., 2020

PF-Net: Point Fractal Network for 3D Point Cloud Completion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Distributed Neurodynamic Optimization for Energy Internet Management.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Enabling a Transactive Distribution System via Real-Time Distributed Optimization.
IEEE Trans. Smart Grid, 2019

A novel SDASS descriptor for fully encoding the information of a 3D local surface.
Inf. Sci., 2019

Distributed optimization for the multi-robot system using a neurodynamic approach.
Neurocomputing, 2019

A Comprehensive Performance Evaluation for 3D Transformation Estimation Techniques.
CoRR, 2019

A Learning-Based Approach for Perceptual Models of Preference.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Fault Diagnosis of Gas Turbine Fuel Systems Based on Improved SOM Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Clustering-enhanced PointCNN for Point Cloud Classification Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Weld Defect Detection Based on Deep Learning Method.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
A Neurodynamic Approach to Distributed Optimization With Globally Coupled Constraints.
IEEE Trans. Cybern., 2018

Fault Diagnosis Method of Diesel Engine Based on Improved Structure Preserving and K-NN Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

An Image-Based Approach for Defect Detection on Decorative Sheets.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
A Neurodynamic Optimization Approach to Bilevel Quadratic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Collective Neurodynamic System for Distributed Optimization with Applications in Model Predictive Control.
IEEE Trans. Emerg. Top. Comput. Intell., 2017

A Multiple-objective Neurodynamic Optimization to Electric Load Management Under Demand-Response Program.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Robust pole assignment for synthesizing fractional-order control systems via neurodynamic optimization.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

2016
Tube-Based Robust Model Predictive Control of Nonlinear Systems via Collective Neurodynamic Optimization.
IEEE Trans. Ind. Electron., 2016

Data-Driven Bending Elasticity Design by Shell Thickness.
Comput. Graph. Forum, 2016

A two-time-scale neurodynamic approach to robust pole assignment.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

2015
Perceptual models of preference in 3D printing direction.
ACM Trans. Graph., 2015

Neurodynamics-Based Robust Pole Assignment for High-Order Descriptor Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Neurodynamic Optimization Approach to Bilevel Linear Programming.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

A neurodynamic optimization approach to synthesis of linear systems with fault detection via robust pole assignment.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Robust Pole Assignment for Synthesizing Feedback Control Systems Using Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

Model Predictive Control of Linear Parameter Varying Systems Based on a Recurrent Neural Network.
Proceedings of the Theory and Practice of Natural Computing, 2014

Neurodynamics-based robust pole assignment for synthesizing second-order control systems via output feedback based on a convex feasibility problem reformulation.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

Neurodynamics-based robust eigenstructure assignment for second-order descriptor systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A neurodynamic optimization approach to robust pole assignment based on convex reformulation.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Neurodynamic optimization approaches to robust pole assignment based on alternative robustness measures.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Neurodynamic Optimization Approach to Robust Pole Assignment for Synthesizing Linear Control Systems Based on a Convex Feasibility Problem Reformulation.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

A neurodynamic optimization approach to robust pole assignment for synthesizing piecewise linear control systems.
Proceedings of the IEEE International Conference on Information and Automation, 2013

A neurodynamic optimization approach to robust pole assignment for synthesizing linear state feedback control systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013


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