Yingyan Zeng

According to our database, Yingyan Zeng authored at least 13 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hierarchical Dataset Selection for High-Quality Data Sharing.

Xiaona Zhou, Yingyan Zeng, Ran Jin, Ismini Lourentzou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

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

Contrastive Ensemble Active Learning for Data Quality Improvements for Resilient Manufacturing AI Model Prediction.

Xuancheng Jin, Yingyan Zeng, Hui Liu, Ran Jin

Proceedings of the IEEE International Conference on Data Mining, 2025

FAIR: Facilitating Artificial Intelligence Resilience in Manufacturing Industrial Internet.

Yingyan Zeng, Ismini Lourentzou, Xinwei Deng, Ran Jin

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2025

DCAF: Dynamic Cross-Attention Feature Fusion from Robotic Anomaly Detection to Position Accuracy Modeling.

Hui Liu, Guixiu Qiao, Pavel Piliptchak, James Moore, Daniela Sawyer, Yingyan Zeng, Ran Jin

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing.

Yingyan Zeng, Xiaoyu Chen, Ran Jin

ACM Trans. Intell. Syst. Technol., February, 2024

2023

ModelPred: A Framework for Predicting Trained Model from Training Data.

Yingyan Zeng, Jiachen T. Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Synthetic Data Generation and Sampling for Online Training of DNNs in Manufacturing Supervised Learning Problems.

Yingyan Zeng, Prithivrajan Thiyagarajan, Brian M. Chan, Ran Jin

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

INN: An Interpretable Neural Network for AI Incubation in Manufacturing.

Xiaoyu Chen, Yingyan Zeng, Sungku Kang, Ran Jin

ACM Trans. Intell. Syst. Technol., 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

Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

Task-Driven Privacy-Preserving Data-Sharing Framework for the Industrial Internet.

Parshin Shojaee, Yingyan Zeng, Muntasir Wahed, Avi Seth, Ran Jin, Ismini Lourentzou

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Learning to Refit for Convex Learning Problems.

Yingyan Zeng, Tianhao Wang, Si Chen, Hoang Anh Just, Ran Jin, Ruoxi Jia

CoRR, 2021

Deep Neural Network Pipelines for Multivariate Time Series Classification in Smart Manufacturing.

Parshin Shojaee, Yingyan Zeng, Xiaoyu Chen, Ran Jin, Xinwei Deng, Chuck Zhang

Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021