Shiqiang Wang
20 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (5)
π
Cross-Pollinator
(5)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(38)
π
Grand Slam
π
Triple Crown
π§¬
Topic Evolution
ποΈ
Keyword Collector
(84)
π
Century Club
(20)
π₯
Unstoppable
(7)
β‘
Prolific Year
(7)
Conferences
ICLR (4)
ICML (4)
NIPS (4)
AAAI (3)
AISTATS (2)
ALT (1)
CVPR (1)
IJCAI (1)
Top co-authors
Keywords
federated learning
(5)
communication efficiency
(3)
distributed optimization
(2)
online learning
(2)
convergence analysis
(2)
distributed learning
(2)
vertical federated learning
(2)
attention mechanism
(1)
graph classification
(1)
stochastic gradient descent
(1)
feature selection
(1)
uncertainty quantification
(1)
bayesian inference
(1)
representation learning
(1)
transfer learning
(1)
explainable ai
(1)
non-convex optimization
(1)
online decision making
(1)
privacy-preserving learning
(1)
one-shot learning
(1)
Papers
Vertical Federated Learning with Missing Features During Training and Inference
ICLR 2025
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
ICLR 2025
A Survey on Efficient Federated Learning Methods for Foundation Model Training
IJCAI 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
NIPS 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization
ICML 2024
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
ICML 2024
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
AAAI 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
AISTATS 2024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
ICLR 2024
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
CVPR 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
NIPS 2023
FedExP: Speeding Up Federated Averaging via Extrapolation
ICLR 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
ICML 2023
A Unified Analysis of Federated Learning with Arbitrary Client Participation
NIPS 2022
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
ICML 2022
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
AAAI 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
AAAI 2022
Online Learning of Facility Locations
ALT 2021
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
NIPS 2020
MaxHedge: Maximizing a Maximum Online
AISTATS 2019