Changjian Shui
14 papers · 2019–2024 · 10 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (36) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Gold
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Grand Slam
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Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Venues
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Research topics
Machine Learning
(11)
Artificial Intelligence
(7)
Application Areas
(7)
Optimization & Theory
(7)
Learning Types · Machine Learning
(6)
Deep Learning
(5)
Core AI
(4)
Core Methods
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types · Deep Learning
(2)
Computer Vision
(1)
Analysis
(1)
Architectures
(1)
Learning Paradigms · Machine Learning
(1)
Models
(1)
Keywords
domain generalization
(2)
generalization bound
(2)
bilevel optimization
(2)
wasserstein distance
(2)
multi-task learning
(2)
neural network
(2)
catastrophic forgetting
(1)
transfer learning
(1)
continual learning
(1)
algorithmic fairness
(1)
representation learning
(1)
domain adaptation
(1)
uncertainty quantification
(1)
knowledge transfer
(1)
task generalization
(1)
few-shot learning
(1)
adversarial training
(1)
deep learning
(1)
medical image analysis
(1)
unsupervised domain adaptation
(1)
Papers
Generalizing across Temporal Domains with Koopman Operators
AAAI 2024
Intersectional Unfairness Discovery
ICML 2024
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
ICLR 2024
Learning Equilibrium Transformation for Gamut Expansion and Color Restoration
ECCV 2024
Towards Progressive Multi-Frequency Representation for Image Warping
CVPR 2024
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
MIDL 2023
Gap Minimization for Knowledge Sharing and Transfer
JMLR 2023
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm
NeurIPS 2023
Fair Representation Learning through Implicit Path Alignment
ICML 2022
On Learning Fairness and Accuracy on Multiple Subgroups
NeurIPS 2022
Aggregating From Multiple Target-Shifted Sources
ICML 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
NeurIPS 2021
Deep Active Learning: Unified and Principled Method for Query and Training
AISTATS 2020
A Principled Approach for Learning Task Similarity in Multitask Learning
IJCAI 2019