Qianxiao Li - Concepedia

Author

Qianxiao Li

National University of Singapore ORCID

Also Known As

Li, Qianxiao, Qianxiao Li

137

Publications

2.4K

Citations

H-Index

Concepts

All Affiliations

National University of Singapore Agency for Science, Technology and Research Institute of High Performance Computing Institute of Materials Research and Engineering Massachusetts Institute of Technology

About

Qianxiao Li is an author at National University of Singapore specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	24	1.1K
2	Natural Sciences	4	4	137
3	Applied Physics	2	2	72
4	Biomedical Engineering	1	1	17
5	Chemical Engineering	1	1	48

Qianxiao Li

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator Qianxiao Li, Felix Dietrich, Erik M. Bollt, Chaos An Interdisciplinary Journal of Nonlinear Science	2017	422
Two-step machine learning enables optimized nanoparticle synthesis Flore Mekki‐Berrada, Zekun Ren, Tan Huang, npj Computational Materials NanoparticlesArtificial IntelligenceEngineeringMachine LearningBottom-up Synthesis	2021	211
An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties Zekun Ren, Siyu Tian, Juhwan Noh, Matter Materials ScienceInorganic ChemistryCrystal StructureEngineeringInorganic Material	2021	161
Maximum Principle Based Algorithms for Deep Learning Qianxiao Li, Long Chen, Cheng Tai, Geometric LearningEngineeringMachine LearningMachine Learning ModelPhysic Aware Machine Learning	2018	119
Machine learning enables polymer cloud-point engineering via inverse design Jatin Kumar, Qianxiao Li, Karen Yuanting Tang, npj Computational Materials	2019	93
Maximum Principle Based Algorithms for Deep Learning Qianxiao Li, Long Chen, Cheng Tai, arXiv (Cornell University) Geometric LearningEngineeringMachine LearningMachine Learning ModelPhysic Aware Machine Learning	2017	82
Deep learning via dynamical systems: An approximation perspective Qianxiao Li, Ting Lin, Zuowei Shen Journal of the European Mathematical Society Artificial IntelligenceGeometric LearningEngineeringMachine LearningSparse Neural Network	2022	66
Challenges and opportunities of polymer design with machine learning and high throughput experimentation Jatin Kumar, Qianxiao Li, Jun Ye MRS Communications Materials SciencePolymer MaterialEngineeringMachine LearningPolymer Design	2019	65
Prediction of interstitial diffusion activation energies of nitrogen, oxygen, boron and carbon in bcc, fcc, and hcp metals using machine learning Yingzhi Zeng, Qianxiao Li, Kewu Bai Computational Materials Science Materials ScienceEngineeringMachine LearningDiffusion ResistanceOxidation Resistance	2017	53
Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs Andre K. Y. Low, Flore Mekki‐Berrada, Abhishek Gupta, npj Computational Materials	2024	53

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