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Wenting Zhao

14 papers hereh-index 10346 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author7

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.LG5
  • cs.AI1
  • cs.CV1
  • cs.IR1
  • cs.PL1
same name
  • Wenting Zhao — 27 papers, h 7
  • Wenting Zhao — 5 papers, h 4
  • Wenting Zhao — 4 papers
  • Wenting Zhao — 3 papers, h 2
  • Wenting Zhao — 3 papers, h 2
  • Wenting Zhao — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedDeep Reasoning Networks: Thinking Fast and Slow

11 citations · 39 across the 14 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.LG2021★ 4 cited

Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning

Di Chen, Yiwei Bai, Sebastian Ament +7

Crystal-structure phase mapping is a core, long-standing challenge in materials science that requires identifying crystal structures, or mixtures thereof, in synthesized materials.…

cs.LG2021

HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders

Wenting Zhao, Shufeng Kong, Junwen Bai +2

Understanding how environmental characteristics affect bio-diversity patterns, from individual species to communities of species, is critical for mitigating effects of global chang…

cs.LG2021★ 11 cited

Evaluating Multi-label Classifiers with Noisy Labels

Wenting Zhao, Carla Gomes

Multi-label classification (MLC) is a generalization of standard classification where multiple labels may be assigned to a given sample. In the real world, it is more common to dea…

cs.AI2021

Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems

Yiwei Bai, Wenting Zhao, Carla P. Gomes

There has been an increasing interest in harnessing deep learning to tackle combinatorial optimization (CO) problems in recent years. Typical CO deep learning approaches leverage t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.