A Privacy-Preserving Voting Protocol on Blockchain. - Wenbin Zhang; Yuan Yuan; Yanyan Hu; Shaohua Huang; Shengjiao Cao; Anuj Chopra; Sheng Huang (IEEE CLOUD, 2018)

An internet-of-things-based production logistics optimisation method for discrete manufacturing. - Shaohua Huang; Yu Guo; Shanshan Zha; Yicong Wang (Int. J. Comput. Integr. Manuf., 2019)

A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing. - Shaohua Huang; Yu Guo; Daoyuan Liu; Shanshan Zha; Weiguang Fang (IEEE Internet Things J., 2019)

A Parallel Gated Recurrent Units (P-GRUs) network for the shifting lateness bottleneck prediction in make-to-order production system. - Weiguang Fang; Yu Guo; Wenhe Liao; Shaohua Huang; Nengjun Yang; Jinshan Liu (Comput. Ind. Eng., 2020)

Big data driven jobs remaining time prediction in discrete manufacturing system: a deep learning-based approach. - Weiguang Fang; Yu Guo; Wenhe Liao; Karthik Ramani; Shaohua Huang (Int. J. Prod. Res., 2020)

A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process. - Shaohua Huang; Yu Guo; Nengjun Yang; Shanshan Zha; Daoyuan Liu; Weiguang Fang (J. Intell. Manuf., 2021)

Profiling Cryptocurrency Influencers With Few-shot Learning via Contrastive Learning. - Zengyao Li; Zhongyuan Han; Jiyin Cai; Zhijian Huang; Shaohua Huang; Leilei Kong (CLEF (Working Notes), 2023)

Digital twin driven production progress prediction for discrete manufacturing workshop. - Weiwei Qian; Yu Guo; Hao Zhang; Shaohua Huang; Litong Zhang; Hailang Zhou; Weiguang Fang; Shanshan Zha (Robotics Comput. Integr. Manuf., 2023)

A stacking denoising auto-encoder with sample weight approach for order remaining completion time prediction in complex discrete manufacturing workshop. - Daoyuan Liu; Yu Guo; Shaohua Huang; Weiguang Fang; Xu Tian (Int. J. Prod. Res., 2023)

Dynamic production bottleneck prediction using a data-driven method in discrete manufacturing system. - Daoyuan Liu; Yu Guo; Shaohua Huang; Shengbo Wang; Tao Wu (Adv. Eng. Informatics, 2023)

A spatial-temporal feature fusion network for order remaining completion time prediction in discrete manufacturing workshop. - Shengbo Wang; Yu Guo; Shaohua Huang; Daoyuan Liu; Pengzhou Tang; Litong Zhang (Int. J. Prod. Res., 2024)

Generating the assembly instructions of helicopter subassemblies using the hierarchical pruning strategy and large language model. - Mingjie Jiang; Yu Guo; Shaohua Huang; Jun Pu (J. Ind. Inf. Integr., 2024)

Real-Time Quality Inspection Based on Transfer Learning and Feature Clustering for Wave Soldering. - Daoyuan Liu; Yu Guo; Jian Xie; Hanpeng Gao; Shaohua Huang (IEEE Trans. Instrum. Meas., 2024)

An Online Quality Detection Method With Ensemble Learning on Imbalance Data for Wave Soldering. - Hanpeng Gao; Yu Guo; Shaohua Huang; Jian Xie; Daoyuan Liu; Tao Wu; Xu Tian (J. Comput. Inf. Sci. Eng., 2024)

SmartMLVs: LLM-enabled Multiple Linked Views Generation for Interactive Visualization. - Tian Qiu; Fen Wang; Shaohua Huang; Meng Guo; Yuheng Zhao; Jincheng Li 004; Siming Chen 001 (PacificVis, 2025)

A two-channel collaborative filtering process template recommendation algorithm: RCAN - GGCNII - 2C. - Tao Wu; Yu Guo; Shaohua Huang; Lijun Ma; Xifeng Guo; Jiahui Zheng (Adv. Eng. Informatics, 2025)

Digital twin driven dynamic scheduling of discrete manufacturing workshop with transportation resource constraint using multi-agent deep reinforcement learning. - Sai Geng; Shaohua Huang; Yu Guo; Weiwei Qian; Weiguang Fang; Litong Zhang; Shengbo Wang (Robotics Comput. Integr. Manuf., 2025)

A multimodal fusion method for soldering quality online inspection. - Jian Xie; Yu Guo; Daoyuan Liu; Shaohua Huang; Kaiwen Zheng; Yaning Tao (J. Intell. Manuf., 2025)

A modeling and adaptive evolution method for simulation parameters of digital twin shop floor. - Litong Zhang; Yu Guo; Shengbo Wang; Guanguan Zheng; Weiwei Qian; Shaohua Huang; Weiguang Fang (Robotics Comput. Integr. Manuf., 2026)