Qing Ling
13 papers · 2015–2025 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(68)
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Century Club Β· Bronze
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Conference Pioneer
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(8)
Artificial Intelligence
(4)
Deep Learning
(4)
Mathematics & Optimization
(3)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types Β· Machine Learning
(3)
Optimization
(3)
Computer Vision
(2)
Application Areas
(2)
Architectures
(2)
Core AI
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Keywords
distributed learning
(4)
federated learning
(3)
model aggregation
(2)
byzantine robustness
(2)
label poisoning attack
(2)
differential privacy
(2)
byzantine attack
(2)
non-convex optimization
(1)
independent component analysis
(1)
multi-task learning
(1)
convex optimization
(1)
sparse coding
(1)
sentiment analysis
(1)
sparse representation
(1)
image restoration
(1)
stochastic gradient descent
(1)
conditional generation
(1)
spectral clustering
(1)
primal-dual optimization
(1)
data augmentation
(1)
Papers
Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients
AISTATS 2025
Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data
JMLR 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
JMLR 2025
Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction
IJCAI 2025
Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks
IJCAI 2024
VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE
ACL 2024
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation
IJCAI 2022
Out-of-Distribution Detection via Conditional Kernel Independence Model
NeurIPS 2022
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation
ACL 2020
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets
AAAI 2019
Solving Non-smooth Constrained Programs with Lower Complexity than O(1/Ξ΅): A Primal-Dual Homotopy Smoothing Approach
NeurIPS 2018
D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
CVPR 2016
Multi-Task Learning for Subspace Segmentation
ICML 2015