Yimeng He

According to our database, Yimeng He authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

A Novel Phase-Aware Neural Network Framework for Fault Detection in Multiphase Processes via Feature Augmentation and Phase Discrimination.

Yimeng He, Zidong Wang, Weibo Liu, Jingzhong Fang, Linwei Chen, Zhihuan Song

IEEE CAA J. Autom. Sinica, April, 2026

Label-Noise-Resistant Time-Series Classification With Self-Supervised Label Correction.

Yimeng He, Zidong Wang, Weibo Liu, Jingzhong Fang, Linwei Chen, Zhihuan Song

IEEE Trans. Ind. Informatics, February, 2026

Learning With Noisy Labels for Industrial Time Series Outlier Detection: A Transformer-Embedded Contrastive Learning Framework.

Jingzhong Fang, Zidong Wang, Weibo Liu, Nianyin Zeng, Yimeng He, Yu Cao, Linwei Chen, Xiaohui Liu

IEEE Trans. Ind. Informatics, February, 2026

Benchmarking large language models for identifying transcription factor regulatory interactions.

Lake Noel, Yi-Wen Hsiao, Yimeng He, Andrew Hung, Xiaojiang Cui, Edward Ray, Jason H. Moore, Pei-Chen Peng, Xiuzhen Huang

Bioinform., 2026

From Global Radiomics to Parametric Maps: A Unified Workflow Fusing Radiomics and Deep Learning for PDAC Detection.

Zengtian Deng, Yimeng He, Yu Shi, Lixia Wang, Touseef Ahmad Qureshi, Xiuzhen Huang, Debiao Li

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Deep Probabilistic Principal Component Analysis for Process Monitoring.

Xiangyin Kong, Yimeng He, Zhihuan Song, Tong Liu, Zhiqiang Ge

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Causality-driven sequence segmentation assisted soft sensing for multiphase industrial processes.

Yimeng He, Xinmin Zhang, Xiangyin Kong, Le Yao, Zhihuan Song

Neurocomputing, 2025

Everlasting Fully Dynamic Group Signatures.

Yimeng He, San Ling, Khai Hanh Tang, Huaxiong Wang

Proceedings of the Applied Cryptography and Network Security, 2025

2024

Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing.

Yimeng He, Le Yao, Xinmin Zhang, Xiangyin Kong, Zhihuan Song

CoRR, 2024

2023

Demand information sharing in a contract farming supply chain.

Xianpei Hong, Yimeng He, Pin Zhou, Jiguang Chen

Eur. J. Oper. Res., September, 2023

Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application.

Yimeng He, Xiangyin Kong, Le Yao, Zhiqiang Ge

IEEE Trans. Ind. Informatics, August, 2023

Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes.

Yimeng He, Le Yao, Zhiqiang Ge, Zhihuan Song

IEEE Trans. Instrum. Meas., 2023

2022

Demand information acquisition and disclosure in a non-instantaneous deteriorating items supply chain.

Yimeng He, Yeming Gong, Xianpei Hong

Comput. Ind. Eng., 2022