Dynamic Modeling of Operator Overload Conditions in Mixed Model Automotive Assembly. - Oleg Yu. Gusikhin; Xiaoning Jin; Erica Klampfl; Daniel Reich; Randal Visintainer (MIM, 2013)

Assembly Strategies for Remanufacturing Systems With Variable Quality Returns. - Xiaoning Jin; S. Jack Hu; Jun Ni 002; Guoxian Xiao (IEEE Trans Autom. Sci. Eng., 2013)

Threshold-type admission policy for remanufacturing systems. - Xiaoning Jin; Jun Ni 002; S. Jack Hu; Guoxian Xiao; Qing Chang 001 (CASE, 2014)

Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling. - Tangbin Xia; Xiaoning Jin; Lifeng Xi; Jun Ni 002 (Eur. J. Oper. Res., 2015)

Operating load based real-time rolling grey forecasting for machine health prognosis in dynamic maintenance schedule. - Tangbin Xia; Xiaoning Jin; Lifeng Xi; Yuejun Zhang; Jun Ni 002 (J. Intell. Manuf., 2015)

A data analysis system processing framework for underwater target detection. - Xiaoning Jin; Peiying Zhang (ICNC-FSKD, 2016)

A communication framework between backbone satellites and ground stations. - Xiaoning Jin; Peiying Zhang 001; Haipeng Yao (ISCIT, 2016)

An assessment method for the impact of missing data in the rough set-based decision fusion. - Shan Han; Xiaoning Jin; Jianxun Li (Intell. Data Anal., 2016)

An integrated physical-based and parameter learning method for ship energy prediction under varying operating conditions. - Xingjian Lai; Xiaoning Jin; Xi Gu (CASE, 2017)

Engineering effect equivalence enabled transfer learning. - Jie Ren; Hui Wang 035; Xiaoning Jin (CASE, 2017)

A survey of information-centric wireless networks. - Chao Fang 001; Fangmin Xu; Xiaoning Jin (ISCIT, 2017)

NARNET-based Prognostics Modeling for Deteriorating Systems under Dynamic Operating Conditions. - Anqi He; Xiaoning Jin (CASE, 2018)

Natural Scene Text Detection Based on Deep Supervised Fully Convolutional Network. - Nan Zhang; Xiaoning Jin; Xiaowei Li (PCM (3), 2018)

Rating Matrix Pre-Padding for Video Recommendation. - Yang Liu; Guijuan Zhang; Xiaoning Jin; Yaozong Jia (TAAI, 2018)

A Survey of Mobile Information-Centric Networking: Research Issues and Challenges. - Chao Fang 001; Haipeng Yao; Zhuwei Wang; Wenjun Wu; Xiaoning Jin; F. Richard Yu (IEEE Commun. Surv. Tutorials, 2018)

MMDF2018 Workshop Report. - Chun-An Chou; Xiaoning Jin; Amy Mueller; Sarah Ostadabbas (CoRR, 2018)

Twofold Variation Propagation Modeling and Analysis for Roll-to-Roll Manufacturing Systems. - Huanyi Shui; Xiaoning Jin; Jun Ni 002 (IEEE Trans Autom. Sci. Eng., 2019)

Study on Prediction of Legal Judgments Based on the CNN-BiGRU Model. - Chenlu Wang; Xiaoning Jin (ICCAI, 2020)

A survey of autoencoder-based recommender systems. - Guijuan Zhang; Yang Liu; Xiaoning Jin (Frontiers Comput. Sci., 2020)

Anisotropic charge carrier transport of optoelectronic functional selenium-containing organic semiconductor materials. - Daoyuan Zheng; Yurong Guo; Mingxing Zhang; Xia Feng; Lina Zhu; Lijuan Qiu; Xiaoning Jin; Guang-Jiu Zhao (J. Comput. Chem., 2020)

A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing. - Rohit Bokade; Alfred Navato; Ruilin Ouyang; Xiaoning Jin; Chun-An Chou; Sarah Ostadabbas; Amy Mueller (Expert Syst. Appl., 2021)

Deep Variational Autoencoder Classifier for Intelligent Fault Diagnosis Adaptive to Unseen Fault Categories. - Anqi He; Xiaoning Jin (IEEE Trans. Reliab., 2021)

Robust Physics Guided Data-Driven Fleet Battery Pack Fault Detection Under Dynamic Operating Conditions. - Xiaomeng Peng; Shiming Duan; Chaitanya Sankavaram; Xiaoning Jin (CASE, 2022)

Model Heterogeneous Federated Learning for Intrusion Detection based on knowledge distillation. - Tiaokang Gao; Xiaoning Jin; Yingxu Lai (ICCNS, 2022)

Trends in intelligent manufacturing research: a keyword co-occurrence network based review. - Chenxi Yuan; Guoyan Li; Sagar V. Kamarthi; Xiaoning Jin; Mohsen Moghaddam (J. Intell. Manuf., 2022)

Optimal Parameters Design for Manufacturability under Unknown Feasibility Constraints. - Guoyan Li; Xiaoning Jin; Yujia Wang; Swastik Kar (CASE, 2023)

Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control. - Rohit Bokade; Xiaoning Jin; Christopher Amato (IEEE Access, 2023)

Mechanical Design Parameter Optimization through Graph-Based Bayesian Optimization and Pseudo Labeling. - Guoyan Li; Xiaoning Jin (CASE, 2024)

PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control. - Rohit Bokade; Xiaoning Jin (CoRR, 2024)

OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control. - Rohit Bokade; Xiaoning Jin (CoRR, 2024)

Unsupervised Adaptive Fleet Battery Pack Fault Detection With Concept Drift Under Evolving Environment. - Xiaomeng Peng; Shiming Duan; Chaitanya Sankavaram; Xiaoning Jin (IEEE Trans Autom. Sci. Eng., 2024)

Group-Based Federated Knowledge Distillation Intrusion Detection. - Tiaokang Gao; Xiaoning Jin (Int. J. Softw. Eng. Knowl. Eng., 2024)

High-Precision Overlay Registration via Spatial-Terminal Iterative Learning in Roll-to-Roll Manufacturing. - Zifeng Wang; Xiaoning Jin (CoRR, 2025)