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researcher

Hongyang Zhang

University of Waterloo

54 papers hereh-index 316.6k citations98 works total

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

author position
  • first author9
  • middle author18
  • last author23

Across the 50 of 54 papers where every author was matched, so the position is known.

fields
  • cs.LG32
  • cs.DS6
  • stat.ML6
  • cs.CV4
  • cs.IR2
  • cs.CL1
affiliations
  • University of Waterloo
  • Vector Institute for AI
Homepage
same name
  • Hongyang Zhang — 9 papers, h 7
  • Hongyang Zhang — 5 papers, h 7
  • Hongyang Zhang — 3 papers, h 2
  • Hongyang Zhang — 3 papers, h 0
  • Hongyang Zhang — 3 papers, h 3
  • Hongyang Zhang — 3 papers, h 3

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
20132023
most citedTheoretically Principled Trade-off between Robustness and Accuracy

921 citations · 1.4k across the 54 of their papers we have counts for

collaborators
Showing 2017 · stat.MLShow all

3 papers · 2 filters

stat.ML2017

Regression Phalanxes

Hongyang Zhang, William J. Welch, Ruben H. Zamar

Tomal et al. (2015) introduced the notion of "phalanxes" in the context of rare-class detection in two-class classification problems. A phalanx is a subset of features that work we…

stat.ML2017★ 1 cited

Noise-Tolerant Interactive Learning from Pairwise Comparisons

Yichong Xu, Hongyang Zhang, Aarti Singh +2

We study the problem of interactively learning a binary classifier using noisy labeling and pairwise comparison oracles, where the comparison oracle answers which one in the given…

stat.ML2017★ 8 cited

Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions

Maria-Florina Balcan, Hongyang Zhang

We provide new results for noise-tolerant and sample-efficient learning algorithms under s-concave distributions. The new class of s-concave distributions is a broad and natura…

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