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Sheng Wang

6 papers hereh-index 132.1k citations23 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV1
  • physics.bio-ph1
same name
  • Sheng Wang — 16 papers, h 8
  • Sheng Wang — 12 papers, h 5
  • Sheng Wang — 10 papers, h 13
  • Sheng Wang — 7 papers
  • Sheng Wang — 6 papers, h 11
  • Sheng Wang — 6 papers, h 16

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
20172021
most citedAdaptive Graph Convolutional Neural Networks

95 citations · 107 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2021★ 7 cited

EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models

Jiaxiang Wu, Shitong Luo, Tao Shen +3

Accurate protein structure prediction from amino-acid sequences is critical to better understanding the protein function. Recent advances in this area largely benefit from more pre…

cs.LG2019★ 3 cited

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation

Chaochao Yan, Sheng Wang, Jinyu Yang +2

Molecule generation is to design new molecules with specific chemical properties and further to optimize the desired chemical properties. Following previous work, we encode molecul…

cs.LG2018★ 95 cited

Adaptive Graph Convolutional Neural Networks

Ruoyu Li, Sheng Wang, Feiyun Zhu +1

Graph Convolutional Neural Networks (Graph CNNs) are generalizations of classical CNNs to handle graph data such as molecular data, point could and social networks. Current filters…

cs.LG2017★ 1 cited

Robust Contextual Bandit via the Capped-ℓ2​ norm

Feiyun Zhu, Xinliang Zhu, Sheng Wang +2

This paper considers the actor-critic contextual bandit for the mobile health (mHealth) intervention. The state-of-the-art decision-making methods in mHealth generally assume that…

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