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Yuyan Wang

4 papers hereh-index 13855 citations24 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.IR1
same name
  • Yuyan Wang — 4 papers
  • Yuyan Wang — 4 papers, h 2
  • Yuyan Wang — 4 papers, h 1
  • Yuyan Wang — 3 papers, h 3
  • Yuyan Wang — 2 papers
  • Yuyan Wang — 2 papers, h 18

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
20202022
most citedUnderstanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning

45 citations · 55 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023

URM4DMU: an user represention model for darknet markets users

Hongmeng Liu, Jiapeng Zhao, Yixuan Huo +5

Darknet markets provide a large platform for trading illicit goods and services due to their anonymity. Learning an invariant representation of each user based on their posts on di…

cs.LG2021★ 45 cited

Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning

Yuyan Wang, Xuezhi Wang, Alex Beutel +3

As multi-task models gain popularity in a wider range of machine learning applications, it is becoming increasingly important for practitioners to understand the fairness implicati…

cs.LG2020★ 4 cited

Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems

Zhe Chen, Yuyan Wang, Dong Lin +4

Despite deep neural network (DNN)'s impressive prediction performance in various domains, it is well known now that a set of DNN models trained with the same model specification an…

cs.LG2020★ 6 cited

Small Towers Make Big Differences

Yuyan Wang, Zhe Zhao, Bo Dai +4

Multi-task learning aims at solving multiple machine learning tasks at the same time. A good solution to a multi-task learning problem should be generalizable in addition to being…

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