Deep Neural Network Pipelines for Multivariate Time Series Classification in Smart Manufacturing. - Parshin Shojaee; Yingyan Zeng; Xiaoyu Chen 005; Ran Jin; Xinwei Deng; Chuck Zhang (ICPS, 2021)

Learning to Refit for Convex Learning Problems. - Yingyan Zeng; Tianhao Wang 013; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (CoRR, 2021)

Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet. - Parshin Shojaee; Yingyan Zeng; Muntasir Wahed; Avi Seth; Ran Jin; Ismini Lourentzou (IEEE Big Data, 2022)

Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet. - Yingyan Zeng; Parshin Shojaee; Syed Hasib Akhter Faruqui; Adel Alaeddini; Ran Jin (ICPS, 2022)

INN: An Interpretable Neural Network for AI Incubation in Manufacturing. - Xiaoyu Chen 005; Yingyan Zeng; Sungku Kang; Ran Jin (ACM Trans. Intell. Syst. Technol., 2022)

Synthetic Data Generation and Sampling for Online Training of DNNs in Manufacturing Supervised Learning Problems. - Yingyan Zeng; Prithivrajan Thiyagarajan; Brian M. Chan; Ran Jin (CASE, 2023)

ModelPred: A Framework for Predicting Trained Model from Training Data. - Yingyan Zeng; Jiachen T. Wang; Si Chen 008; Hoang Anh Just; Ran Jin; Ruoxi Jia 001 (SaTML, 2023)

Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing. - Yingyan Zeng; Xiaoyu Chen 005; Ran Jin (ACM Trans. Intell. Syst. Technol., 2024)

High-Quality Dataset-Sharing and Trade Based on a Performance-Oriented Directed Graph Neural Network. - Yingyan Zeng; Xiaona Zhou; Premith Kumar Chilukuri; Ismini Lourentzou; Ran Jin (IEEE Trans Autom. Sci. Eng., 2025)

FAIR: Facilitating Artificial Intelligence Resilience in Manufacturing Industrial Internet. - Yingyan Zeng; Ismini Lourentzou; Xinwei Deng; Ran Jin (CoRR, 2025)