1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference
Chao Min, Guoquan Wen, Jiangru Yuan +2
Industrial time-series, as a structural data responds to production process information, can be utilized to perform data-driven decision-making for effective monitoring of industri…
cs.LG2023
Domain adaption and physical constrains transfer learning for shale gas production
Zhaozhong Yang, Liangjie Gou, Chao Min +3
Effective prediction of shale gas production is crucial for strategic reservoir development. However, in new shale gas blocks, two main challenges are encountered: (1) the occurren…
cs.LG2023
Ensemble Interpretation: A Unified Method for Interpretable Machine Learning
Chao Min, Guoyong Liao, Guoquan Wen +2
To address the issues of stability and fidelity in interpretable learning, a novel interpretable methodology, ensemble interpretation, is presented in this paper which integrates m…