Education/CredentialsPh.D.: Virginia Tech (Industrial and Systems Engineering)M.S.: Virginia Tech (Computer Engineering)B.Eng: Shanghai Jiao Tong University (Industrial and Systems Engineering) Contact Information Rhodes Hall Office 513-556-2738 Email zengyy@ucmail.uc.edu Research InterestsResearch Interest: Data Quality Data Valuation Data Sharing and Exchange Statistical Learning and Machine Learning Application Interest: Manufacturing Industrial Internet Healthcare Systems Peer Reviewed Publications Y Zeng, JT Wang, S Chen, HA Just, R Jin, R Jia 2023. ModelPred: A Framework for Predicting Trained Model from Training Data 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), , Y Zeng, P Thiyagarajan, BM Chan, R Jin 2023. Synthetic data generation and sampling for online training of dnns in manufacturing supervised learning problems 2023 IEEE 19th International Conference on Automation Science and Engineering, , 1-6Y Zeng, X Chen, R Jin 2023. Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing ACM Transactions on Intelligent Systems and Technology, 15 1-26, 1P Shojaee, Y Zeng, M Wahed, A Seth, R Jin, I Lourentzou 2022. Task-driven privacy-preserving data-sharing framework for the industrial internet 2022 IEEE International Conference on Big Data, , 1505-1514S Shohan, Y Zeng, X Chen, R Jin, R Shirwaiker 2022. Investigating dielectric spectroscopy and soft sensing for nondestructive quality assessment of engineered tissues Biosensors and Bioelectronics, 216 114286, X Chen, Y Zeng, S Kang, R Jin 2022. Inn: An interpretable neural network for ai incubation in manufacturing ACM Transactions on Intelligent Systems and Technology, 13 5, 1-23Y Zeng, P Shojaee, SHA Faruqui, A Alaeddini, R Jin 2022. Contextual bandit guided data farming for deep neural networks in manufacturing industrial internet 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems, , 1-6P Shojaee, Y Zeng, X Chen, R Jin, X Deng, C Zhang 2021. Deep neural network pipelines for multivariate time series classification in smart manufacturing 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, , 98-103Y Zeng, X Deng, X Chen, R Jin 2021. A prediction-oriented optimal design for visualisation recommender systems Statistical Theory and Related Fields, 5 2, 134-148
Research InterestsResearch Interest: Data Quality Data Valuation Data Sharing and Exchange Statistical Learning and Machine Learning Application Interest: Manufacturing Industrial Internet Healthcare Systems
Peer Reviewed Publications Y Zeng, JT Wang, S Chen, HA Just, R Jin, R Jia 2023. ModelPred: A Framework for Predicting Trained Model from Training Data 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), , Y Zeng, P Thiyagarajan, BM Chan, R Jin 2023. Synthetic data generation and sampling for online training of dnns in manufacturing supervised learning problems 2023 IEEE 19th International Conference on Automation Science and Engineering, , 1-6Y Zeng, X Chen, R Jin 2023. Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing ACM Transactions on Intelligent Systems and Technology, 15 1-26, 1P Shojaee, Y Zeng, M Wahed, A Seth, R Jin, I Lourentzou 2022. Task-driven privacy-preserving data-sharing framework for the industrial internet 2022 IEEE International Conference on Big Data, , 1505-1514S Shohan, Y Zeng, X Chen, R Jin, R Shirwaiker 2022. Investigating dielectric spectroscopy and soft sensing for nondestructive quality assessment of engineered tissues Biosensors and Bioelectronics, 216 114286, X Chen, Y Zeng, S Kang, R Jin 2022. Inn: An interpretable neural network for ai incubation in manufacturing ACM Transactions on Intelligent Systems and Technology, 13 5, 1-23Y Zeng, P Shojaee, SHA Faruqui, A Alaeddini, R Jin 2022. Contextual bandit guided data farming for deep neural networks in manufacturing industrial internet 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems, , 1-6P Shojaee, Y Zeng, X Chen, R Jin, X Deng, C Zhang 2021. Deep neural network pipelines for multivariate time series classification in smart manufacturing 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, , 98-103Y Zeng, X Deng, X Chen, R Jin 2021. A prediction-oriented optimal design for visualisation recommender systems Statistical Theory and Related Fields, 5 2, 134-148
Y Zeng, JT Wang, S Chen, HA Just, R Jin, R Jia 2023. ModelPred: A Framework for Predicting Trained Model from Training Data 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), , Y Zeng, P Thiyagarajan, BM Chan, R Jin 2023. Synthetic data generation and sampling for online training of dnns in manufacturing supervised learning problems 2023 IEEE 19th International Conference on Automation Science and Engineering, , 1-6Y Zeng, X Chen, R Jin 2023. Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing ACM Transactions on Intelligent Systems and Technology, 15 1-26, 1P Shojaee, Y Zeng, M Wahed, A Seth, R Jin, I Lourentzou 2022. Task-driven privacy-preserving data-sharing framework for the industrial internet 2022 IEEE International Conference on Big Data, , 1505-1514S Shohan, Y Zeng, X Chen, R Jin, R Shirwaiker 2022. Investigating dielectric spectroscopy and soft sensing for nondestructive quality assessment of engineered tissues Biosensors and Bioelectronics, 216 114286, X Chen, Y Zeng, S Kang, R Jin 2022. Inn: An interpretable neural network for ai incubation in manufacturing ACM Transactions on Intelligent Systems and Technology, 13 5, 1-23Y Zeng, P Shojaee, SHA Faruqui, A Alaeddini, R Jin 2022. Contextual bandit guided data farming for deep neural networks in manufacturing industrial internet 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems, , 1-6P Shojaee, Y Zeng, X Chen, R Jin, X Deng, C Zhang 2021. Deep neural network pipelines for multivariate time series classification in smart manufacturing 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, , 98-103Y Zeng, X Deng, X Chen, R Jin 2021. A prediction-oriented optimal design for visualisation recommender systems Statistical Theory and Related Fields, 5 2, 134-148