Binghui Peng
16 papers · 2019–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (11)
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Cross-Pollinator
(11)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(27)
π
Grand Slam
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Century Club
(16)
π
Conference Pioneer
ποΈ
Keyword Collector
(76)
π₯
Unstoppable
(7)
Conferences
NIPS (4)
AAAI (3)
COLT (2)
ICLR (2)
ACL (1)
ALT (1)
ICML (1)
IJCNLP (1)
JMLR (1)
Top co-authors
Keywords
multi-agent system
(3)
influence maximization
(3)
continual learning
(2)
self-attention network
(2)
approximation algorithm
(2)
game theory
(2)
greedy algorithm
(2)
social network
(2)
formal language
(2)
hierarchical language
(2)
correlated equilibrium
(2)
theoretical analysis
(1)
online learning
(1)
mechanism design
(1)
adaptive sampling
(1)
computational complexity
(1)
adversarial robustness
(1)
reinforcement learning
(1)
pac learning
(1)
gradient descent
(1)
Papers
A Near Linear Query Lower Bound for Submodular Maximization
ICML 2025
The complexity of non-stationary reinforcement learning
ALT 2024
The sample complexity of multi-distribution learning
COLT 2024
The complexity of approximate (coarse) correlated equilibrium for incomplete information games
COLT 2024
Robust Load Balancing with Machine Learned Advice
JMLR 2023
Shuffle Private Stochastic Convex Optimization
ICLR 2022
Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions
NIPS 2022
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
ICLR 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages
ACL 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages
IJCNLP 2021
Dynamic influence maximization
NIPS 2021
Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization
AAAI 2020
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions
AAAI 2020
Hedging in games: Faster convergence of external and swap regrets
NIPS 2020
Learning Optimal Strategies to Commit To
AAAI 2019
Adaptive Influence Maximization with Myopic Feedback
NIPS 2019