Jianrong Tan

发表

Visual Defect Inspection of Metal Part Surface via Deformable Convolution and Concatenate Feature Pyramid Neural Networks

Zhenyu Liu, Benyi Yang, Guifang Duan, 2020, IEEE Transactions on Instrumentation and Measurement.

An assembly precision analysis method based on a general part digital twin model

Jianrong Tan, Wang Ke, Liu Daxin, 2021, Robotics Comput. Integr. Manuf..

A new stochastic isogeometric analysis method based on reduced basis vectors for engineering structures with random field uncertainties

Jianrong Tan, Zhenyu Liu, Minglong Yang, 2021 .

Toward a Digital Twin: Time Series Prediction Based on a Hybrid Ensemble Empirical Mode Decomposition and BO-LSTM Neural Networks

Ming Yang, Zhenyu Liu, Jianrong Tan, 2021 .

A fast object registration method for augmented reality assembly with simultaneous determination of multiple 2D-3D correspondences

Zhenyu Liu, Guifang Duan, Jianrong Tan, 2020, Robotics Comput. Integr. Manuf..

Research on the constraint mapping from function to assembly

Jianrong Tan, 2003 .

Novel Performance-Oriented Tolerance Design Method Based on Locally Inferred Sensitivity Analysis and Improved Polynomial Chaos Expansion

Xiang Peng, Jianrong Tan, Zhenyu Liu, 2021 .

An energy-saving optimization method for cyclic pick-and-place tasks based on flexible joint configurations

Hao Zheng, Yixiong Feng, Jianrong Tan, 2021, Robotics Comput. Integr. Manuf..

Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework

Yong Wang, Shanghua Mi, Hao Zheng, 2020 .

Self-organizing assembly modeling based on relational constraints

Jianrong Tan, 2000 .

TruingDet: Towards high-quality visual automatic defect inspection for mental surface

Guifang Duan, Jianrong Tan, Ruining Tang, 2021 .

RESEARCH ON TECHNOLOGY OF DESIGN RETRIEVAL BASED ON FUZZY CUSTOMER REQUIREMENT

Jianrong Tan, 2005 .

A Novel Hybrid Fuzzy Grey TOPSIS Method: Supplier Evaluation of a Collaborative Manufacturing Enterprise

Zhiwu Li, Guangdong Tian, Wenjie Wang, 2019, Applied Sciences.

TBM performance prediction with Bayesian optimization and automated machine learning

Zhenyu Liu, Jianrong Tan, Qianli Zhang, 2020 .

On stability and convergence of suboptimal estimation for systems over lossy networks without acknowledgement

Shi Liang, Xiang Peng, Jianrong Tan, 2020 .

An Edge-Based Distributed Decision-Making Method for Product Design Scheme Evaluation

Hao Zheng, Zhiwu Li, Yixiong Feng, 2021, IEEE Transactions on Industrial Informatics.

Quantifying the complexity of subassemblies in a fully automated assembly system

Chuan He, Hao Zheng, Yicong Gao, 2019, Assembly Automation.

Representative null space LDA for discriminative dimensionality reduction

Zaixing He, Shuyou Zhang, Jianrong Tan, 2021, Pattern Recognit..

A Novel Assembly Sequence Design Mechanism for Assembly Sequence Planning

Nan Zhang, Zhenyu Liu, Jianrong Tan, 2020, 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA).

Robust optimization of engineering structures involving hybrid probabilistic and interval uncertainties

Di Wu, Wei Gao, Lu Wei, 2020, Structural and Multidisciplinary Optimization.

Integrated intelligent green scheduling of sustainable flexible workshop with edge computing considering uncertain machine state

Hao Zheng, Zhiwu Li, Yixiong Feng, 2020 .

Stochastic isogeometric analysis for the linear stability assessment of plate structures using a Kriging enhanced Neural Network

Di Wu, Jianrong Tan, Zhenyu Liu, 2020 .

An integrated decision-making method for product design scheme evaluation based on cloud model and EEG data

Hao Zheng, Yixiong Feng, Jianrong Tan, 2020, Adv. Eng. Informatics.

A prediction method of mechanical product assembly precision based on the fusion of measured samples and assembly feature fidelity samples

Yang Wang, Heng Li, Zili Wang, 2020 .

Learning to transfer focus of graph neural network for scene graph parsing

Zaixing He, Jiang Junjie, Shuyou Zhang, 2020, Pattern Recognit..

Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network

Zhenyu Liu, Fei Wu, Yueyang Wang, 2020 .