Skip to content

Author

Mingyan Jiang

We have 2 of 21 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Conference Aug 2026

A transformer encoder architecture for node-level time series forecasting

Experimental results show that the proposed model outperforms traditional RNN and LSTM models across various tasks, indicating promising potential for practical applications.

Ze Zhao, Ming-Yan Jiang, Feng Wang · 0 citations
Conference Jul 2026

A low-node-density disjunctive graph model for flexible job shop scheduling

This study proposes a structurally simple, low-node-density disjunctive graph model, then performs feature extraction using Graph Neural Networks (GNNs), and finally optimize convergence using the Migrating Birds Optimization—an intelligent optimization algorithm proven effective for scheduling decision problems.

Ze Zhao, Mingyan Jiang, Feng Wang · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.