Lixue Cheng

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Gaussian Process

Structural Svms

Machine Learning

Top Venues

Publications

Lixue Cheng, Yu-Qin Chen, Shi-Xin Zhang, Shengyu Zhang
Error-mitigated Quantum Approximate Optimization via Learning-based Adaptive Optimization. CoRR (2023)
Lixue Cheng, Ziyi Yang, Benben Liao, Chang-Yu Hsieh, Shengyu Zhang
ODBO: Bayesian Optimization with Search Space Prescreening for Directed Protein Evolution. CoRR (2022)
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 (2022)
Lixue Cheng, Jiace Sun, Thomas F. Miller III
Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space. CoRR (2022)
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 (2022)
Lixue Cheng, Taihai Yang, Lizhuang Ma
Object Bounding Box-Aware Embedding for Point Cloud Instance Segmentation. PRICAI (3) (2021)
Jiace Sun, Lixue Cheng, Thomas F. Miller III
Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix Multiplication Algorithm for Exact Gaussian Process. CoRR (2021)
Zhiwen Chen, Guihua Wang, Lixue Cheng
Framework Design and Application of Enterprise Intranet Automation Operation and Maintenance. EITCE (2021)
Lixue Cheng, Matthew Welborn, Thomas F. Miller III
A Universal Density Matrix Functional from Molecular Orbital-Based Machine Learning: Transferability across Organic Molecules. CoRR (2019)
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 (2019)