Xinting Liao
14 papers · 2023–2025 · 6 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🤝 Dynamic Duo (13)
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Century Club · Bronze
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Prolific Year · Productive
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Research topics
Machine Learning
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Artificial Intelligence
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Deep Learning
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Core Methods
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Learning Paradigms · Artificial Intelligence
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Learning Paradigms · Machine Learning
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Models
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Natural Language Processing
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Keywords
federated learning
(6)
cross-domain recommendation
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optimal transport
(3)
privacy preserving
(2)
non-iid data
(2)
representation learning
(2)
knowledge transfer
(2)
contrastive learning
(1)
domain adaptation
(1)
unsupervised learning
(1)
domain generalization
(1)
knowledge extraction
(1)
embedding learning
(1)
prototype learning
(1)
probabilistic modeling
(1)
langevin dynamics
(1)
source-free domain adaptation
(1)
in-context learning
(1)
pseudo labeling
(1)
catastrophic forgetting
(1)
Papers
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
CVPR 2025
Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization
ICML 2025
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
AAAI 2025
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
ICML 2025
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning
IJCAI 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
NeurIPS 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal
ACL 2024
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
ICML 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
CVPR 2024
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation
IJCAI 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning
IJCAI 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation
AAAI 2023
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering
ACL 2023