Chao Zhang

Orcid: 0000-0001-8260-1210

Affiliations:
  • Xi'an Jiaotong University, School of Mechanical Engineering, China


According to our database1, Chao Zhang authored at least 34 papers between 2017 and 2026.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Large and small-scale models' fusion-driven proactive robotic manipulation control for human-robot collaborative assembly in industry 5.0.
Robotics Comput. Integr. Manuf., 2026

2025
Energy-efficient tool path generation and expansion optimisation for five-axis flank milling with meta-reinforcement learning.
J. Intell. Manuf., August, 2025

A Systematic Review on Vision-Based Proactive Human Assembly Intention Recognition for Human-Centric Smart Manufacturing in Industry 5.0.
IEEE Internet Things J., August, 2025

Defining a feature-level digital twin process model by extracting machining features from MBD models for intelligent process planning.
J. Intell. Manuf., June, 2025

An adaptive RUL prediction approach for cutting tools incorporated with interpretability and uncertainty.
Reliab. Eng. Syst. Saf., 2025

A survey on potentials, pathways and challenges of large language models in new-generation intelligent manufacturing.
Robotics Comput. Integr. Manuf., 2025

Integrated optimisation of multi-pass cutting parameters and tool path with hierarchical reinforcement learning towards green manufacturing.
Robotics Comput. Integr. Manuf., 2025

Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0.
Int. J. Prod. Res., 2025

Interpretable knowledge recommendation for intelligent process planning with graph embedded deep reinforcement learning.
Adv. Eng. Informatics, 2025

A large language model-enabled machining process knowledge graph construction method for intelligent process planning.
Adv. Eng. Informatics, 2025

2024
A multi-level modelling and fidelity evaluation method of digital twins for creating smart production equipment in Industry 4.0.
Int. J. Prod. Res., 2024

Digital twin-driven multi-dimensional assembly error modeling and control for complex assembly process in Industry 4.0.
Adv. Eng. Informatics, 2024

Hybrid mechanism and data-driven digital twin model for assembly quality traceability and optimization of complex products.
Adv. Eng. Informatics, 2024

XMKR: Explainable manufacturing knowledge recommendation for collaborative design with graph embedding learning.
Adv. Eng. Informatics, 2024

2023
A deep learning-enabled human-cyber-physical fusion method towards human-robot collaborative assembly.
Robotics Comput. Integr. Manuf., October, 2023

Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review.
Adv. Eng. Informatics, August, 2023

A dynamic multi-layer maintenance service network evolution and decision-making method for service-oriented complex equipment.
Comput. Ind. Eng., July, 2023

Energy-efficient multi-pass cutting parameters optimisation for aviation parts in flank milling with deep reinforcement learning.
Robotics Comput. Integr. Manuf., June, 2023

A New Prediction Method of Tool Life Considering Cognitive Uncertainty by Delayed Rejection Adaptive Sampling.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
KAiPP: An interaction recommendation approach for knowledge aided intelligent process planning with reinforcement learning.
Knowl. Based Syst., 2022

A twin data and knowledge-driven intelligent process planning framework of aviation parts.
Int. J. Prod. Res., 2022

A Digital Twin-Based Automatic Programming Method for Adaptive Control of Manufacturing Cells.
IEEE Access, 2022

A Rule-enhanced Collaborative Design Method for Automobiles Considering Manufacturing Constraints.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2020
View-Based 3-D CAD Model Retrieval With Deep Residual Networks.
IEEE Trans. Ind. Informatics, 2020

Deep learning-enabled intelligent process planning for digital twin manufacturing cell.
Knowl. Based Syst., 2020

Manufacturing Blockchain of Things for the Configuration of a Data- and Knowledge-Driven Digital Twin Manufacturing Cell.
IEEE Internet Things J., 2020

Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing.
Int. J. Prod. Res., 2020

2019
Deep learning enabled cutting tool selection for special-shaped machining features of complex products.
Adv. Eng. Softw., 2019

A view-based 3D CAD model reuse framework enabling product lifecycle reuse.
Adv. Eng. Softw., 2019

A service-oriented multi-player maintenance grouping strategy for complex multi-component system based on game theory.
Adv. Eng. Informatics, 2019

2018
Generating significant subassemblies from 3D assembly models for design reuse.
Int. J. Prod. Res., 2018

A function availability-based integrated product-service network model for high-end manufacturing equipment.
Comput. Ind. Eng., 2018

Identification of influential nodes in multi-layer mapping service network for high-end manufacturing equipment.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018

2017
Graph-based knowledge reuse for supporting knowledge-driven decision-making in new product development.
Int. J. Prod. Res., 2017


  Loading...