Chengyu Tao

Orcid: 0000-0003-0526-4956

According to our database1, Chengyu Tao authored at least 17 papers between 2016 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection.
CoRR, May, 2026

FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios.
CoRR, April, 2026

SGANet: Semantic and Geometric Alignment for Multimodal Multi-view Anomaly Detection.
CoRR, April, 2026

IAENet: An importance-aware ensemble model for 3D point cloud-based anomaly detection.
Inf. Fusion, 2026

2025
IAENet: An Importance-Aware Ensemble Model for 3D Point Cloud-Based Anomaly Detection.
CoRR, August, 2025

Deep Subspace Learning for Surface Anomaly Classification Based on 3D Point Cloud Data.
CoRR, February, 2025

Optimal Placement of Programmable Tooling Machines Considering Hierarchical Structure via Sparse Learning for Multistage Assembly Processes.
IEEE Trans Autom. Sci. Eng., 2025

3D-ADCS: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces.
J. Comput. Inf. Sci. Eng., 2025

G<sup>2</sup>SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
A Novel Representation of Periodic Pattern and Its Application to Untrained Anomaly Detection.
CoRR, 2024

3D-CSAD: Untrained 3D Anomaly Detection for Complex Manufacturing Surfaces.
CoRR, 2024

2023
Optimization Models for Pickup-And-Delivery Problems with Reconfigurable Capacities.
Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

2021
A 2-Dimensional Branch-and-Bound Algorithm for Hand-Eye Self-Calibration of SCARA Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2019
Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks.
Eng. Appl. Artif. Intell., 2019

2018
Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems.
IEEE Trans. Smart Grid, 2018

2017
An Improved Spiking Neural P Systems with Anti-Spikes for Fault Location of Distribution Networks with Distributed Generation.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016
Fault Diagnosis of Power Systems Based on Triangular Fuzzy Spiking Neural P Systems.
Proceedings of the Bio-inspired Computing - Theories and Applications, 2016


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