1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing
Chao Min, Guoquan Wen, Liangjie Gou +2
Machine learning approaches are widely studied in the production prediction of CBM wells after hydraulic fracturing, but merely used in practice due to the low generalization abili…