no code implementations • 7 Apr 2023 • Bing Huang, Arezou Ghesmati, Yonghong Chen, Ross Baldick
To provide a practical solution to the daily operation of a PSHU in a single day look-ahead commitment (LAC) and real-time market, this paper proposes two pumped storage hydro (PSH) models that only use probabilistic price forecast to incorporate uncertainties and manage risks in the LAC and real-time market operation.
no code implementations • 28 Jul 2021 • Bing Huang, Hai Dong, Athman Bouguettaya
Conflicts may arise during interactions between the resident and IoT services in smart homes.
no code implementations • 21 Dec 2020 • Bing Huang, Lin Zhuang
Understanding how electronic structure determines the reactivity of solid surface, is a central topic of modern surface science.
Chemical Physics
no code implementations • 14 Dec 2020 • Bing Huang, O. Anatole von Lilienfeld
Chemical compound space (CCS), the set of all theoretically conceivable combinations of chemical elements and (meta-)stable geometries that make up matter, is colossal.
Chemical Physics
no code implementations • 16 Jul 2020 • Teng Liu, Xingyu Mu, Xiaolin Tang, Bing Huang, Hong Wang, Dongpu Cao
This work optimizes the highway decision making strategy of autonomous vehicles by using deep reinforcement learning (DRL).
no code implementations • 16 Jul 2020 • Jiangdong Liao, Teng Liu, Xiaolin Tang, Xingyu Mu, Bing Huang, Dongpu Cao
The advantages of the proposed framework in convergence rate and control performance are illuminated.
no code implementations • 14 May 2020 • Bing Huang, Athman Bouguettaya, Hai Dong
We propose a novel activity learning framework based on Edge Cloud architecture for the purpose of recognizing and predicting human activities.
no code implementations • 14 May 2020 • Bing Huang, Athman Bouguettaya, Azadeh Ghari Neiat
We present a Cognitive Amplifier framework to augment things part of an IoT, with cognitive capabilities for the purpose of improving life convenience.
no code implementations • 14 May 2020 • Bing Huang, Athman Bouguettaya
A service mining framework is proposed that enables discovering interesting relationships in Internet of Things services bottom-up.
1 code implementation • 6 Apr 2020 • Pascal Pernot, Bing Huang, Andreas Savin
Quantum machine learning models have been gaining significant traction within atomistic simulation communities.
Data Analysis, Statistics and Probability Chemical Physics Computational Physics
1 code implementation • 8 Aug 2018 • Peter Zaspel, Bing Huang, Helmut Harbrecht, O. Anatole von Lilienfeld
Inspired by Pople diagrams popular in quantum chemistry, we introduce a hierarchical scheme, based on the multi-level combination (C) technique, to combine various levels of approximations made when calculating molecular energies within quantum chemistry.
Chemical Physics
1 code implementation • 13 Jul 2017 • Bing Huang, O. Anatole von Lilienfeld
In analogy to the DNA sequence in a gene encoding its function, constituting amons encode a query molecule's properties.
Chemical Physics
no code implementations • J. Chem. Theory Comput. 2017 • Felix A. Faber, Luke Hutchison, Bing Huang, Justin Gilmer, Samuel S. Schoenholz, George E. Dahl, Oriol Vinyals, Steven Kearnes, Patrick F. Riley, O. Anatole von Lilienfeld
We investigate the impact of choosing regressors and molecular representations for the construction of fast machine learning (ML) models of thirteen electronic ground-state properties of organic molecules.
Ranked #18 on Formation Energy on QM9
1 code implementation • 22 Aug 2016 • Bing Huang, O. Anatole von Lilienfeld
The predictive accuracy of Machine Learning (ML) models of molecular properties depends on the choice of the molecular representation.
Chemical Physics