Jiabin Liu
6 papers · 2019–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
Top co-authors
Research topics
Machine Learning
(6)
Application Areas
(4)
Learning Types · Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Learning Types · Deep Learning
(2)
Security & Privacy
(1)
Architectures
(1)
Core Methods
(1)
Differential Privacy
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
weakly supervised learning
(2)
label proportion
(2)
semi-supervised learning
(1)
vision transformer
(1)
principal component analysis
(1)
local learning
(1)
neural network optimization
(1)
constrained optimization
(1)
partial label learning
(1)
canonical correlation analysis
(1)
kullback-leibler divergence
(1)
sparse pca
(1)
minimax risk
(1)
model parallelization
(1)
differential privacy
(1)
black-box attack
(1)
adversarial perturbation
(1)
loss function
(1)
generalized eigenvalue problem
(1)
generative adversarial network
(1)
Papers
Manipulating the Mind’s Eye: A-SAGE, the Attention-Based Attack on ViT Explainability
AAAI 2026
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
AAAI 2025
Privacy-preserving Sparse Generalized Eigenvalue Problem
AISTATS 2023
Leveraged Weighted Loss for Partial Label Learning
ICML 2021
Two-stage Training for Learning from Label Proportions
IJCAI 2021
Learning from Label Proportions with Generative Adversarial Networks
NeurIPS 2019