no code implementations • 14 Oct 2024 • Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
To support various molecular properties at scale, machine learning models are trained in the multi-task learning paradigm.
no code implementations • 26 Sep 2024 • Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng
Geometric graph neural networks (GNNs) have emerged as powerful tools for modeling molecular geometry.
no code implementations • 11 Jan 2024 • Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim
At the heart of power system operations, alternating current optimal power flow (ACOPF) studies the generation of electric power in the most economical way under network-wide load requirement, and can be formulated as a highly structured non-convex quadratically constrained quadratic program (QCQP).
no code implementations • 4 Jun 2021 • Yifan Lin, Yuxuan Ren, Enlu Zhou
We consider finite-horizon Markov Decision Processes where parameters, such as transition probabilities, are unknown and estimated from data.