Shenxiu Liu
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom Shenxiu Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shenxiu Liu's perspective
Ordered by how strongly the researchers Shenxiu Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- The Elements of Statistical Learning
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- Fast and accurate modeling of molecular atomization energies with machine learning.
- Towards the computational design of solid catalysts.
- Advances in Neural Information Processing Systems 25
- Tunable multifunctional topological insulators in ternary Heusler compounds.
- Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
- Crystal structure representations for machine learning models of formation energies
- Battery materials for ultrafast charging and discharging
Their papers
- Learning atoms for materials discovery (2018) — 195 citations