Qing Ling

Qing Ling

Sun Yat-Sen University

H-index: 35

Asia-China

About Qing Ling

Qing Ling, With an exceptional h-index of 35 and a recent h-index of 29 (since 2020), a distinguished researcher at Sun Yat-Sen University, specializes in the field of Signal Processing, Optimization, Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error

On the Generalization Error of Byzantine-Resilient Decentralized Learning

Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment

D3: Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation

On the tradeoff between privacy preservation and Byzantine-robustness in decentralized learning

On the convergence of single-timescale multi-sequence stochastic approximation without fixed point smoothness

Robust Reward-Free Actor-Critic for Cooperative Multiagent Reinforcement Learning

Mean Aggregator Is More Robust Than Robust Aggregators Under Label Poisoning Attacks

Qing Ling Information

University

Position

School of Computer Science and Engineering

Citations(all)

7628

Citations(since 2020)

5354

Cited By

4498

hIndex(all)

35

hIndex(since 2020)

29

i10Index(all)

79

i10Index(since 2020)

63

Email

University Profile Page

Sun Yat-Sen University

Google Scholar

View Google Scholar Profile

Qing Ling Skills & Research Interests

Signal Processing

Optimization

Control

Top articles of Qing Ling

Title

Journal

Author(s)

Publication Date

Byzantine-Robust Decentralized Stochastic Optimization with Stochastic Gradient Noise-Independent Learning Error

Signal Processing

Jie Peng

Weiyu Li

Qing Ling

2024

On the Generalization Error of Byzantine-Resilient Decentralized Learning

Haoxiang Ye

Qing Ling

2024/4/14

Byzantine-Robust Distributed Online Learning: Taming Adversarial Participants in An Adversarial Environment

IEEE Transactions on Signal Processing

Xingrong Dong

Zhaoxian Wu

Qing Ling

Zhi Tian

2024

D3: Dual-Domain Defenses for Byzantine-Resilient Decentralized Resource Allocation

Runhua Wang

Qing Ling

Zhi Tian

2024/4/14

On the tradeoff between privacy preservation and Byzantine-robustness in decentralized learning

Haoxiang Ye

Heng Zhu

Qing Ling

2024/4/14

On the convergence of single-timescale multi-sequence stochastic approximation without fixed point smoothness

Yue Huang

Zhaoxian Wu

Qing Ling

2024

Robust Reward-Free Actor-Critic for Cooperative Multiagent Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems

Qifeng Lin

Qing Ling

2024

Mean Aggregator Is More Robust Than Robust Aggregators Under Label Poisoning Attacks

IJCAI

Jie Peng

Weiyu Li

Qing Ling

2024/4/21

Spectral adversarial training for robust graph neural network

IEEE Transactions on Knowledge and Data Engineering

Jintang Li

Jiaying Peng

Liang Chen

Zibin Zheng

Tingting Liang

...

2022/11/15

A Communication-Efficient Decentralized Newton's Method With Provably Faster Convergence

IEEE Transactions on Signal and Information Processing over Networks

Huikang Liu

Jiaojiao Zhang

Anthony Man-Cho So

Qing Ling

2023/7/3

Distributed online learning with adversarial participants in an adversarial environment

Xingrong Dong

Zhaoxian Wu

Qing Ling

Zhi Tian

2023

Byzantine-Robust Distributed Learning With Compression

IEEE Transactions on Signal and Information Processing over Networks

Heng Zhu

Qing Ling

2023/4/12

Lazy Queries Can Reduce Variance in Zeroth-order Optimization

IEEE Transactions on Signal Processing

Quan Xiao

Qing Ling

Tianyi Chen

2023/6/14

Byzantine-robust and communication-efficient personalized federated learning

Xuechao He

Jiaojiao Zhang

Qing Ling

2023

Quantization Bits Allocation for Wireless Federated Learning

IEEE Transactions on Wireless Communications

Muhang Lan

Qing Ling

Song Xiao

Wenyi Zhang

2023/4/3

C-RSA: Byzantine-robust and communication-efficient distributed learning in the non-convex and non-IID regime

Signal Processing

Xuechao He

Heng Zhu

Qing Ling

2023/8/12

Confederated learning: Federated learning with decentralized edge servers

IEEE Transactions on Signal Processing

Bin Wang

Jun Fang

Hongbin Li

Xiaojun Yuan

Qing Ling

2023/2/2

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning

IEEE Transactions on Signal Processing

Jiaojiao Zhang

Huikang Liu

Anthony Man-Cho So

Qing Ling

2023/2/1

Byzantine-resilient decentralized stochastic optimization with robust aggregation rules

IEEE Transactions on Signal Processing

Zhaoxian Wu

Tianyi Chen

Qing Ling

2023/8/3

Byzantine-resilient decentralized resource allocation

Runhua Wang

Yaohua Liu

Qing Ling

2022

See List of Professors in Qing Ling University(Sun Yat-Sen University)

Co-Authors

H-index: 160
Georgios  B. Giannakis

Georgios B. Giannakis

University of Minnesota-Twin Cities

H-index: 80
Wotao Yin

Wotao Yin

University of California, Los Angeles

H-index: 71
Alejandro Ribeiro

Alejandro Ribeiro

University of Pennsylvania

H-index: 48
Dong Liu

Dong Liu

University of Science and Technology of China

H-index: 30
Tianyi Chen

Tianyi Chen

Rensselaer Polytechnic Institute

H-index: 24
Kun Yuan

Kun Yuan

University of California, Los Angeles

academic-engine