Changjian Shui
14 papers · 2019–2024 · 10 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (14)
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Academic Marathon
(5)
🧭
Keyword Pioneer
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Keyword Collector
(60)
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Century Club
(14)
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Unstoppable
(6)
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Prolific Year
(5)
Conferences
ICML (3)
NIPS (3)
AAAI (1)
AISTATS (1)
CVPR (1)
ECCV (1)
ICLR (1)
IJCAI (1)
JMLR (1)
MIDL (1)
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Keywords
neural network
(2)
multitask learning
(2)
generalization bound
(2)
wasserstein distance
(2)
transfer learning
(1)
catastrophic forgetting
(1)
continual learning
(1)
algorithmic fairness
(1)
representation learning
(1)
domain generalization
(1)
few-shot learning
(1)
domain adaptation
(1)
uncertainty quantification
(1)
knowledge transfer
(1)
adversarial training
(1)
unsupervised domain adaptation
(1)
multi-task learning
(1)
task generalization
(1)
deep learning
(1)
active learning
(1)
Papers
Towards Progressive Multi-Frequency Representation for Image Warping
CVPR 2024
Learning Equilibrium Transformation for Gamut Expansion and Color Restoration
ECCV 2024
Intersectional Unfairness Discovery
ICML 2024
Generalizing across Temporal Domains with Koopman Operators
AAAI 2024
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
ICLR 2024
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
MIDL 2023
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm
NIPS 2023
Gap Minimization for Knowledge Sharing and Transfer
JMLR 2023
Fair Representation Learning through Implicit Path Alignment
ICML 2022
On Learning Fairness and Accuracy on Multiple Subgroups
NIPS 2022
Aggregating From Multiple Target-Shifted Sources
ICML 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
NIPS 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