Jianyu Long

Chuan Li, Jianyu Long, Yunwei Huang, 2021, 2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).

Level-based multi-objective particle swarm optimizer for integrated production scheduling and vehicle routing decision with inventory holding, delivery, and tardiness costs

Panos M. Pardalos, Jianyu Long, Chuan Li, 2021, Int. J. Prod. Res..

A robust dynamic scheduling approach based on release time series forecasting for the steelmaking-continuous casting production

Panos M. Pardalos, Jianyu Long, Chuan Li, 2020, Appl. Soft Comput..

Scheduling a realistic hybrid flow shop with stage skipping and adjustable processing time in steel plants

Panos M. Pardalos, Jianyu Long, Zhong Zheng, 2018, Appl. Soft Comput..

A Novel Sparse Echo Autoencoder Network for Data-Driven Fault Diagnosis of Delta 3-D Printers

Jianyu Long, Shaohui Zhang, Zhenzhong Sun, 2020, IEEE Transactions on Instrumentation and Measurement.

Manufacturing Quality Prediction Using Intelligent Learning Approaches: A Comparative Study

Jianyu Long, Yun Bai, Jun Deng, 2017 .

Machinery Fault Detection Using Autoencoder and Online Sequential Extreme Learning Machine

Jianyu Long, Chuan Li, Zhe Yang, 2021, 2021 7th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO).

Dynamic scheduling in steelmaking-continuous casting production for continuous caster breakdown

Jianyu Long, Zhong Zheng, Xiaoqiang Gao, 2017, Int. J. Prod. Res..

Dynamic condition monitoring for 3D printers by using error fusion of multiple sparse auto-encoders

Jianyu Long, Chuan Li, Shaohui Zhang, 2019, Comput. Ind..

Production scheduling problems of steelmaking-continuous casting process in dynamic production environment

Jianyu Long, Zhong Zheng, Xiaoqiang Gao, 2017 .

Deep Fuzzy Echo State Networks for Machinery Fault Diagnosis

Jianyu Long, Man Wang, Zhenzhong Sun, 2020, IEEE Transactions on Fuzzy Systems.

Transmission Condition Monitoring of 3D Printers Based on the Echo State Network

Diego Cabrera, Jianyu Long, Kun He, 2019, Applied Sciences.

Intelligent Fault Diagnosis of Delta 3D Printers Using Attitude Sensors Based on Support Vector Machines

Zhijun Yang, Jianyu Long, Kun He, 2018, Sensors.

A robust physics-based model framework of the dew point evaporative cooler: From fundamentals to applications

K. Chua, M. Shahzad, Jie Lin, 2021 .

A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction

Jianyu Long, Chuan Li, Lin Li, 2019, J. Intell. Manuf..

Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers

Diego Cabrera, Jianyu Long, Chuan Li, 2020, IEEE Transactions on Industrial Informatics.

Fault Diagnosis of Delta 3D Printers Using Transfer Support Vector Machine With Attitude Signals

Jianwen Guo, Jianyu Long, Jiapeng Wu, 2019, IEEE Access.

Incremental Novelty Identification From Initially One-Class Learning to Unknown Abnormality Classification

Jianyu Long, Chuan Li, Yanyang Zi, 2021, IEEE Transactions on Industrial Electronics.

Compressive properties, mechanical anisotropy and hardness analysis of Mg–Zn alloy under cross pre-compression

Chuan Li, Jianyu Long, Faisal Nazeer, 2021, Archives of Civil and Mechanical Engineering.

Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor

Diego Cabrera, Jianyu Long, Shaohui Zhang, 2020, Neurocomputing.

Incrementally Contrastive Learning of Homologous and Interclass Features for the Fault Diagnosis of Rolling Element Bearings

Chuan Li, Jianyu Long, Yunwei Huang, 2023, IEEE Transactions on Industrial Informatics.

Adversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump

Diego Cabrera, M. Cerrada, Chuan Li, 2023, IEEE/ASME transactions on mechatronics.

End-to-end unsupervised fault detection using a flow-based model

Jianyu Long, Liangwei Zhang, Xiaohui Yan, 2021, Reliab. Eng. Syst. Saf..

Multi-joint Industrial Robot Fault Identification using Deep Sparse Auto-Encoder Network with Attitude Data

Jianyu Long, Ying Hong, Zhenzhong Sun, 2020, 2020 Prognostics and Health Management Conference (PHM-Besançon).

Two dimensional borophene nanomaterials: Recent developments for novel renewable energy storage applications

A. Nairan, Karim Khan, A. Tareen, 2023, Progress in Solid State Chemistry.

Self-Adaptation Graph Attention Network via Meta-Learning for Machinery Fault Diagnosis With Few Labeled Data

Chuan Li, Jianyu Long, Zhe Yang, 2022, IEEE Transactions on Instrumentation and Measurement.

A stochastic production planning problem in hybrid manufacturing and remanufacturing systems with resource capacity planning

Panos M. Pardalos, Jianyu Long, Jun Pei, 2017, Journal of Global Optimization.

Robust Dynamic Scheduling with Uncertain Release Time for the Steelmaking-Continuous Casting Production

Jianyu Long, Ying Hong, Zhenzhong Sun, 2018, 2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC).

Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults

Chuan Li, Jianyu Long, Yibin Chen, 2023, Journal of Intelligent Manufacturing.

Reservoir Inflow Forecast Using a Clustered Random Deep Fusion Approach in the Three Gorges Reservoir, China

Chuan Li, Yun Bai, B. Zeng, 2018, Journal of Hydrologic Engineering.

A novel self-training semi-supervised deep learning approach for machinery fault diagnosis

Chuan Li, Jianyu Long, Zhe Yang, 2023, Int. J. Prod. Res..

Practical Production Scheduling for Hot Metal Pretreatment-Steelmaking-Continuous Casting Process Involving Preventive Maintenance Consideration

Jianyu Long, Ying Hong, Zhenzhong Sun, 2018, IEEE Access.

Achieving low activation energy and double-peak texture after hot deformation of Mg-Al-Zn-Ca-Mn-Zr alloy and enabling the strength and ductility

Jianyu Long, A. Malik, Chaunxi Li, 2023, Journal of Materials Research and Technology.

An effective heuristic based on column generation for the two-dimensional three-stage steel plate cutting problem

Panos M. Pardalos, Zhong Zheng, Xiaoqiang Gao, 2020, Ann. Oper. Res..

An effective heuristic based on column generation for the two-dimensional three-stage steel plate cutting problem

P. Pardalos, Jianyu Long, Zhong Zheng, 2020, Annals of Operations Research.

Dynamic fuzzy temperature control with quasi-Newtonian particle swarm optimization for precise air conditioning

Chuan Li, Jianyu Long, Zhe Yang, 2024, Energy and Buildings.