Liyan Xie
8 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
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Machine Learning
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Artificial Intelligence
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diffusion model
(2)
generative model
(2)
distributionally robust optimization
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wasserstein distance
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metric learning
(1)
adversarial robustness
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image classification
(1)
transfer learning
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sample efficiency
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domain adaptation
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change detection
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uncertainty quantification
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robust classification
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robust statistics
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granger causality
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statistical inference
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minimax optimization
(1)
synthetic data generation
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time series
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conditional generation
(1)
Papers
Recurrent Neural Goodness-of-Fit Test for Time Series
AISTATS 2025
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets
AISTATS 2024
Transfer Learning for Diffusion Models
NeurIPS 2024
Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
ICML 2023
Distributionally robust weighted k-nearest neighbors
NeurIPS 2022
Uncertainty Quantification for Inferring Hawkes Networks
NeurIPS 2020
Nearly second-order optimality of online joint detection and estimation via one-sample update schemes
AISTATS 2018
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
NeurIPS 2018