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2020 – today
- 2024
[j14]Tiaokang Gao
, Xiaoning Jin:
Group-Based Federated Knowledge Distillation Intrusion Detection. Int. J. Softw. Eng. Knowl. Eng. 34(8): 1251-1279 (2024)- [j13]Xiaomeng Peng, Shiming Duan, Chaitanya Sankavaram, Xiaoning Jin:
Unsupervised Adaptive Fleet Battery Pack Fault Detection With Concept Drift Under Evolving Environment. IEEE Trans Autom. Sci. Eng. 21(3): 2276-2288 (2024) - [c15]Guoyan Li, Xiaoning Jin:
Mechanical Design Parameter Optimization through Graph-Based Bayesian Optimization and Pseudo Labeling. CASE 2024: 2955-2960 - 2023
- [j12]Rohit Bokade, Xiaoning Jin, Christopher Amato:
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control. IEEE Access 11: 47646-47658 (2023) - [c14]Guoyan Li, Xiaoning Jin, Yujia Wang, Swastik Kar:
Optimal Parameters Design for Manufacturability under Unknown Feasibility Constraints. CASE 2023: 1-6 - [i2]Rohit Bokade, Xiaoning Jin, Christopher Amato:
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control. CoRR abs/2310.02435 (2023) - 2022
- [j11]Chenxi Yuan, Guoyan Li, Sagar V. Kamarthi, Xiaoning Jin, Mohsen Moghaddam:
Trends in intelligent manufacturing research: a keyword co-occurrence network based review. J. Intell. Manuf. 33(2): 425-439 (2022) - [c13]Xiaomeng Peng, Shiming Duan, Chaitanya Sankavaram, Xiaoning Jin:
Robust Physics Guided Data-Driven Fleet Battery Pack Fault Detection Under Dynamic Operating Conditions. CASE 2022: 971-978 - [c12]Tiaokang Gao, Xiaoning Jin, Yingxu Lai:
Model Heterogeneous Federated Learning for Intrusion Detection based on knowledge distillation. ICCNS 2022: 30-35 - 2021
- [j10]Rohit Bokade, Alfred Navato, Ruilin Ouyang, Xiaoning Jin, Chun-An Chou, Sarah Ostadabbas, Amy Mueller:
A cross-disciplinary comparison of multimodal data fusion approaches and applications: Accelerating learning through trans-disciplinary information sharing. Expert Syst. Appl. 165: 113885 (2021) - [j9]Anqi He, Xiaoning Jin:
Deep Variational Autoencoder Classifier for Intelligent Fault Diagnosis Adaptive to Unseen Fault Categories. IEEE Trans. Reliab. 70(4): 1581-1595 (2021) - 2020
- [j8]Guijuan Zhang, Yang Liu, Xiaoning Jin:
A survey of autoencoder-based recommender systems. Frontiers Comput. Sci. 14(2): 430-450 (2020) - [j7]Daoyuan Zheng, Yurong Guo, Mingxing Zhang, Xia Feng, Lina Zhu, Lijuan Qiu, Xiaoning Jin, Guang-Jiu Zhao:
Anisotropic charge carrier transport of optoelectronic functional selenium-containing organic semiconductor materials. J. Comput. Chem. 41(10): 976-985 (2020) - [c11]Chenlu Wang, Xiaoning Jin:
Study on Prediction of Legal Judgments Based on the CNN-BiGRU Model. ICCAI 2020: 63-68
2010 – 2019
- 2019
- [j6]Huanyi Shui, Xiaoning Jin, Jun Ni:
Twofold Variation Propagation Modeling and Analysis for Roll-to-Roll Manufacturing Systems. IEEE Trans Autom. Sci. Eng. 16(2): 599-612 (2019) - 2018
- [j5]Chao Fang, Haipeng Yao, Zhuwei Wang, Wenjun Wu, Xiaoning Jin, F. Richard Yu:
A Survey of Mobile Information-Centric Networking: Research Issues and Challenges. IEEE Commun. Surv. Tutorials 20(3): 2353-2371 (2018) - [c10]Anqi He, Xiaoning Jin:
NARNET-based Prognostics Modeling for Deteriorating Systems under Dynamic Operating Conditions. CASE 2018: 1322-1327 - [c9]Nan Zhang, Xiaoning Jin, Xiaowei Li:
Natural Scene Text Detection Based on Deep Supervised Fully Convolutional Network. PCM (3) 2018: 439-448 - [c8]Yang Liu, Guijuan Zhang, Xiaoning Jin, Yaozong Jia:
Rating Matrix Pre-Padding for Video Recommendation. TAAI 2018: 164-167 - [i1]Chun-An Chou, Xiaoning Jin, Amy Mueller, Sarah Ostadabbas:
MMDF2018 Workshop Report. CoRR abs/1808.10721 (2018) - 2017
- [c7]Jie Ren, Hui Wang, Xiaoning Jin:
Engineering effect equivalence enabled transfer learning. CASE 2017: 1174-1179 - [c6]Xingjian Lai, Xiaoning Jin, Xi Gu:
An integrated physical-based and parameter learning method for ship energy prediction under varying operating conditions. CASE 2017: 1180-1185 - [c5]Chao Fang, Fangmin Xu, Xiaoning Jin:
A survey of information-centric wireless networks. ISCIT 2017: 1-5 - 2016
- [j4]Shan Han, Xiaoning Jin, Jianxun Li:
An assessment method for the impact of missing data in the rough set-based decision fusion. Intell. Data Anal. 20(6): 1267-1284 (2016) - [c4]Xiaoning Jin, Peiying Zhang:
A data analysis system processing framework for underwater target detection. ICNC-FSKD 2016: 1687-1691 - [c3]Xiaoning Jin, Peiying Zhang, Haipeng Yao:
A communication framework between backbone satellites and ground stations. ISCIT 2016: 479-482 - 2015
- [j3]Tangbin Xia, Xiaoning Jin, Lifeng Xi, Jun Ni:
Production-driven opportunistic maintenance for batch production based on MAM-APB scheduling. Eur. J. Oper. Res. 240(3): 781-790 (2015) - [j2]Tangbin Xia, Xiaoning Jin, Lifeng Xi, Yuejun Zhang, Jun Ni:
Operating load based real-time rolling grey forecasting for machine health prognosis in dynamic maintenance schedule. J. Intell. Manuf. 26(2): 269-280 (2015) - 2014
- [c2]Xiaoning Jin, Jun Ni, S. Jack Hu, Guoxian Xiao, Qing Chang:
Threshold-type admission policy for remanufacturing systems. CASE 2014: 467-473 - 2013
- [j1]Xiaoning Jin, S. Jack Hu, Jun Ni, Guoxian Xiao:
Assembly Strategies for Remanufacturing Systems With Variable Quality Returns. IEEE Trans Autom. Sci. Eng. 10(1): 76-85 (2013) - [c1]Oleg Yu. Gusikhin, Xiaoning Jin, Erica Klampfl, Daniel Reich, Randal Visintainer:
Dynamic Modeling of Operator Overload Conditions in Mixed Model Automotive Assembly. MIM 2013: 1884-1889
Coauthor Index
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