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Qing Ling

4 papers hereh-index 483 citations4 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV1
same name
  • Qing Ling — 35 papers, h 33
  • Qing Ling — 5 papers, h 9
  • Qing Ling — 4 papers, h 3
  • Qing Ling — 3 papers, h 3
  • Qing Ling — 2 papers, h 2
  • Qing Ling — 2 papers, h 5

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

most citedSpectral Adversarial Training for Robust Graph Neural Network

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement

Jun Yu, Shenshen Du, Guochen Xie +4

Synthetic Aperture Radar (SAR) to electro-optical (EO) image translation is a fundamental task in remote sensing that can enrich the dataset by fusing information from different so…

cs.LG2022★ 3 cited

Spectral Adversarial Training for Robust Graph Neural Network

Jintang Li, Jiaying Peng, Liang Chen +3

Recent studies demonstrate that Graph Neural Networks (GNNs) are vulnerable to slight but adversarially designed perturbations, known as adversarial examples. To address this issue…

cs.LG2022

Lazy Queries Can Reduce Variance in Zeroth-order Optimization

Quan Xiao, Qing Ling, Tianyi Chen

A major challenge of applying zeroth-order (ZO) methods is the high query complexity, especially when queries are costly. We propose a novel gradient estimation technique for ZO me…

cs.LG2022★ 2 cited

Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation

Heng Zhu, Qing Ling

This paper aims at jointly addressing two seemly conflicting issues in federated learning: differential privacy (DP) and Byzantine-robustness, which are particularly challenging wh…

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