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2020 – today
- 2024
[j11]Shengbo Wang
, Yu Guo, Shaohua Huang, Daoyuan Liu, Pengzhou Tang, Litong Zhang:
A spatial-temporal feature fusion network for order remaining completion time prediction in discrete manufacturing workshop. Int. J. Prod. Res. 62(10): 3638-3653 (2024)- [j10]Hanpeng Gao, Yu Guo, Shaohua Huang, Jian Xie, Daoyuan Liu, Tao Wu, Xu Tian:
An Online Quality Detection Method With Ensemble Learning on Imbalance Data for Wave Soldering. J. Comput. Inf. Sci. Eng. 24(2) (2024) - [j9]Daoyuan Liu, Yu Guo, Jian Xie, Hanpeng Gao, Shaohua Huang:
Real-Time Quality Inspection Based on Transfer Learning and Feature Clustering for Wave Soldering. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - 2023
- [j8]Daoyuan Liu, Yu Guo, Shaohua Huang, Shengbo Wang, Tao Wu:
Dynamic production bottleneck prediction using a data-driven method in discrete manufacturing system. Adv. Eng. Informatics 58: 102162 (2023) - [j7]Daoyuan Liu, Yu Guo, Shaohua Huang, Weiguang Fang, Xu Tian:
A stacking denoising auto-encoder with sample weight approach for order remaining completion time prediction in complex discrete manufacturing workshop. Int. J. Prod. Res. 61(10): 3246-3259 (2023) - [j6]Weiwei Qian, Yu Guo, Hao Zhang, Shaohua Huang, Litong Zhang, Hailang Zhou, Weiguang Fang, Shanshan Zha:
Digital twin driven production progress prediction for discrete manufacturing workshop. Robotics Comput. Integr. Manuf. 80: 102456 (2023) - [c2]Zengyao Li, Zhongyuan Han, Jiyin Cai, Zhijian Huang, Shaohua Huang, Leilei Kong:
Profiling Cryptocurrency Influencers With Few-shot Learning via Contrastive Learning. CLEF (Working Notes) 2023: 2695-2701 - 2021
- [j5]Shaohua Huang, Yu Guo, Nengjun Yang, Shanshan Zha, Daoyuan Liu, Weiguang Fang:
A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process. J. Intell. Manuf. 32(7): 1845-1861 (2021) - 2020
- [j4]Weiguang Fang, Yu Guo, Wenhe Liao, Shaohua Huang, Nengjun Yang, Jinshan Liu:
A Parallel Gated Recurrent Units (P-GRUs) network for the shifting lateness bottleneck prediction in make-to-order production system. Comput. Ind. Eng. 140: 106246 (2020) - [j3]Weiguang Fang, Yu Guo, Wenhe Liao, Karthik Ramani, Shaohua Huang:
Big data driven jobs remaining time prediction in discrete manufacturing system: a deep learning-based approach. Int. J. Prod. Res. 58(9): 2751-2766 (2020)
2010 – 2019
- 2019
- [j2]Shaohua Huang, Yu Guo, Shanshan Zha, Yicong Wang:
An internet-of-things-based production logistics optimisation method for discrete manufacturing. Int. J. Comput. Integr. Manuf. 32(1): 13-26 (2019) - [j1]Shaohua Huang, Yu Guo, Daoyuan Liu, Shanshan Zha, Weiguang Fang:
A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing. IEEE Internet Things J. 6(6): 10627-10638 (2019) - 2018
- [c1]Wenbin Zhang, Yuan Yuan, Yanyan Hu, Shaohua Huang, Shengjiao Cao, Anuj Chopra, Sheng Huang:
A Privacy-Preserving Voting Protocol on Blockchain. IEEE CLOUD 2018: 401-408
Coauthor Index
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