Zhishuai Guo
11 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π£ Hot Topic Early Bird π Renaissance Researcher (7) π Interdisciplinary Bridge
π
Conference Polyglot
(7)
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Academic Marathon
(5)
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Cross-Pollinator
(9)
π
Century Club
(11)
π₯
Unstoppable
(6)
Conferences
ICML (4)
NIPS (2)
ECCV (1)
EMNLP (1)
ICCV (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
non-convex optimization
(3)
federated learning
(3)
min-max optimization
(2)
communication efficiency
(2)
auc maximization
(2)
stochastic optimization
(2)
kl regularization
(1)
kullback-leibler divergence
(1)
text classification
(1)
semantic representation
(1)
distributed learning
(1)
variance reduction
(1)
neural network training
(1)
communication complexity
(1)
bilevel optimization
(1)
parallel speedup
(1)
distributionally robust optimization
(1)
convergence rate
(1)
deep neural network
(1)
medical imaging
(1)
Papers
BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text
EMNLP 2025
Frequency-Semantic Enhanced Variational Autoencoder for Zero-Shot Skeleton-based Action Recognition
ICCV 2025
Communication-Efficient Federated Group Distributionally Robust Optimization
NIPS 2024
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
ICML 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
JMLR 2023
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
ICML 2023
Compositional Training for End-to-End Deep AUC Maximization
ICLR 2022
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
ICML 2021
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives
NIPS 2021
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
ICML 2020
Accelerating Deep Learning with Millions of Classes
ECCV 2020