Weijia Wang
8 papers · 2012–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird
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The Questioner
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Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(5)
Core Methods
(4)
Optimization & Theory
(4)
Reinforcement Learning
(3)
Core AI
(3)
Applications
(2)
Architectures
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Computer Science
(1)
Keywords
federated learning
(2)
policy optimization
(1)
multi-objective optimization
(1)
curriculum learning
(1)
sequential decision making
(1)
convergence analysis
(1)
singular value decomposition
(1)
kl regularization
(1)
nonlinear manifold
(1)
spectral analysis
(1)
rule learning
(1)
iterative learning
(1)
distribution similarity
(1)
monte carlo tree search
(1)
manifold learning
(1)
generative model
(1)
spectral method
(1)
data heterogeneity
(1)
data selection
(1)
reinforcement learning
(1)
Papers
VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems
ICLR 2025
Iterative Regularized Policy Optimization with Imperfect Demonstrations
ICML 2024
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
AAAI 2023
When Do Curricula Work in Federated Learning?
ICCV 2023
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
AAAI 2021
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
ICLR 2021
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds
CVPR 2020
Multi-objective Monte-Carlo Tree Search
ACML 2012