Zhuqing Liu
8 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (21) 🏆 Grand Slam
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(7)
Optimization
(7)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Learning Types · Machine Learning
(4)
Learning Paradigms · Artificial Intelligence
(3)
Reinforcement Learning
(2)
Core AI
(2)
Learning Paradigms · Machine Learning
(2)
Methods
(2)
Deep Learning
(1)
Learning Types · Deep Learning
(1)
Keywords
sample complexity
(4)
communication complexity
(3)
multi-objective optimization
(3)
convergence rate
(2)
stochastic optimization
(2)
federated learning
(2)
decentralized optimization
(1)
distributed optimization
(1)
minimax optimization
(1)
constrained optimization
(1)
gradient descent
(1)
variance reduction
(1)
bilevel optimization
(1)
iteration complexity
(1)
data heterogeneity
(1)
stationary point
(1)
client sampling
(1)
control variate
(1)
momentum method
(1)
min-max optimization
(1)
Papers
Multi-Objective Bilevel Learning
AAAI 2026
DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity
ICLR 2025
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
UAI 2025
PILOT: An O(1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation
ICLR 2024
Federated Multi-Objective Learning
NeurIPS 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning
ICML 2023
SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning
NeurIPS 2022
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2021