Puning Zhao
12 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(3)
π
Grand Slam
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(68)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(8)
Artificial Intelligence
(7)
Core AI
(6)
Deep Learning
(4)
Mathematics & Optimization
(3)
Learning Types
(3)
Optimization
(3)
Security & Privacy
(2)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Differential Privacy
(2)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Keywords
huber loss
(3)
graph neural network
(2)
differential privacy
(2)
stochastic optimization
(1)
robust regression
(1)
convex optimization
(1)
robust optimization
(1)
semantic parsing
(1)
distributed learning
(1)
mean estimation
(1)
distributed optimization
(1)
minimax optimization
(1)
global optimization
(1)
nearest neighbor
(1)
gradient descent
(1)
risk minimization
(1)
nonparametric regression
(1)
markov chain
(1)
kernel regression
(1)
natural language processing
(1)
Papers
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
AAAI 2026
Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
AAAI 2026
MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies
AAAI 2026
Contextual Bandits for Unbounded Context Distributions
ICML 2025
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
AAAI 2025
Enhancing Learning with Label Differential Privacy by Vector Approximation
ICLR 2025
Injecting Structured Knowledge into LLMs via Graph Neural Networks
ACL 2025
Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
ICML 2025
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
AAAI 2024
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
NeurIPS 2024
Robust Nonparametric Regression under Poisoning Attack
AAAI 2024
Efficient Classification with Adaptive KNN
AAAI 2021