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Lixue Cheng
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Conference and Workshop Papers
- 2021
- [c2]Zhiwen Chen, Guihua Wang, Lixue Cheng:
Framework Design and Application of Enterprise Intranet Automation Operation and Maintenance. EITCE 2021: 1531-1535 - [c1]Lixue Cheng, Taihai Yang, Lizhuang Ma:
Object Bounding Box-Aware Embedding for Point Cloud Instance Segmentation. PRICAI (3) 2021: 182-194
Informal and Other Publications
- 2023
- [i8]Lixue Cheng, Yu-Qin Chen, Shi-Xin Zhang, Shengyu Zhang:
Error-mitigated Quantum Approximate Optimization via Learning-based Adaptive Optimization. CoRR abs/2303.14877 (2023) - 2022
- [i7]Lixue Cheng, Jiace Sun, Thomas F. Miller III:
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space. CoRR abs/2204.09831 (2022) - [i6]Lixue Cheng, Ziyi Yang, Benben Liao, Chang-Yu Hsieh, Shengyu Zhang:
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution. CoRR abs/2205.09548 (2022) - [i5]Jiace Sun, Lixue Cheng, Thomas F. Miller III:
Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine Learning. CoRR abs/2205.15510 (2022) - [i4]Lixue Cheng, Jiace Sun, J. Emiliano Deustua, Vignesh C. Bhethanabotla, Thomas F. Miller III:
Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression. CoRR abs/2207.08317 (2022) - 2021
- [i3]Jiace Sun, Lixue Cheng, Thomas F. Miller III:
Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix Multiplication Algorithm for Exact Gaussian Process. CoRR abs/2109.09817 (2021) - 2019
- [i2]Lixue Cheng, Matthew Welborn, Thomas F. Miller III:
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules. CoRR abs/1901.03309 (2019) - [i1]Lixue Cheng, Nikola B. Kovachki, Matthew Welborn, Thomas F. Miller III:
Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning. CoRR abs/1909.02041 (2019)
Coauthor Index
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