Guojun Zhang
14 papers · 2019–2025 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Conference Pioneer
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Venues
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Research topics
Machine Learning
(10)
Optimization & Theory
(6)
Application Areas
(5)
Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Deep Learning
(3)
Core AI
(3)
Mathematics & Optimization
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Keywords
gradient descent
(4)
game theory
(3)
domain generalization
(3)
neural network
(2)
out-of-distribution generalization
(2)
distribution shift
(2)
non-convex optimization
(1)
feature learning
(1)
image segmentation
(1)
domain adaptation
(1)
transfer learning
(1)
bayesian inference
(1)
model calibration
(1)
medical imaging
(1)
multi-task learning
(1)
unsupervised domain adaptation
(1)
feature embedding
(1)
variational inference
(1)
medical image segmentation
(1)
confidence calibration
(1)
Papers
Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization
UAI 2025
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model
MICCAI 2024
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
AAAI 2024
Label Alignment Regularization for Distribution Shift
JMLR 2024
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
AISTATS 2024
Robust Multi-Task Learning with Excess Risks
ICML 2024
TSESNet: Temporal-Spatial Enhanced Breast Tumor Segmentation in DCE-MRI Using Feature Perception and Separability
IJCAI 2024
Understanding Hessian Alignment for Domain Generalization
ICCV 2023
Domain Adversarial Training: A Game Perspective
ICLR 2022
Optimality and Stability in Non-Convex Smooth Games
JMLR 2022
f-Domain Adversarial Learning: Theory and Algorithms
ICML 2021
Quantifying and Improving Transferability in Domain Generalization
NeurIPS 2021
Convergence of Gradient Methods on Bilinear Zero-Sum Games
ICLR 2020
Comparing EM with GD in Mixture Models of Two Components
UAI 2019