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researcher

Ao Zhang

4 papers hereh-index 10785 citations13 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.CL1
  • cs.CV1
  • cs.LG1
  • cs.SD1
same name
  • Ao Zhang — 3 papers
  • Ao Zhang — 2 papers
  • Ao Zhang — 1 paper, h 2
  • Ao Zhang — 1 paper
  • Ao Zhang — 1 paper, h 4
  • Ao Zhang — 1 paper

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 citedDefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder

17 citations · 18 across the 3 of their papers we have counts for

collaborators

4 papers

cs.SD2022★ 1 cited

The ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC): Dataset, Tracks, Baseline and Results

Ao Zhang, Fan Yu, Kaixun Huang +7

This paper summarizes the outcomes from the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge (ICSRC). We first address the necessity of the challenge and then introduce…

cs.CL2022

Prompt Tuning for Discriminative Pre-trained Language Models

Yuan Yao, Bowen Dong, Ao Zhang +6

Recent works have shown promising results of prompt tuning in stimulating pre-trained language models (PLMs) for natural language processing (NLP) tasks. However, to the best of ou…

cs.CV2021

Visual Distant Supervision for Scene Graph Generation

Yuan Yao, Ao Zhang, Xu Han +5

Scene graph generation aims to identify objects and their relations in images, providing structured image representations that can facilitate numerous applications in computer visi…

cs.LG2020★ 17 cited

DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder

Ao Zhang, Jinwen Ma

Graph neural networks (GNNs) achieve remarkable performance for tasks on graph data. However, recent works show they are extremely vulnerable to adversarial structural perturbation…

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