no code implementations • 28 Sep 2023 • Hanyu Zhang, Mathieu Tanneau, Chaofan Huang, V. Roshan Joseph, Shangkun Wang, Pascal Van Hentenryck
This approach effectively introduces an auxiliary learning task (predicting the bundle-level time series) to help the main learning tasks.
no code implementations • 2 Apr 2022 • Neil Barry, Minas Chatzos, Wenbo Chen, Dahye Han, Chaofan Huang, Roshan Joseph, Michael Klamkin, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck, Shangkun Wang, Hanyu Zhang, Haoruo Zhao
The transition of the electrical power grid from fossil fuels to renewable sources of energy raises fundamental challenges to the market-clearing algorithms that drive its operations.
Uncertainty Quantification Vocal Bursts Intensity Prediction
no code implementations • 15 Feb 2021 • Zhe Cheng, Weifang Lu, Jingjing Shi, Daiki Tanaka, Nakib H. Protik, Shangkun Wang, Motoaki Iwaya, Tetsuya Takeuchi, Satoshi Kamiyama, Isamu Akasaki, Hiroshi Amano, Samuel Graham
Furthermore, orders of magnitude reduction in the measured thermal conductivity was observed at low temperatures for the porous 6H-SiC compared to the epitaxial 6H-SiC.
Materials Science Mesoscale and Nanoscale Physics