← Authors

Xinting Liao

14 papers · 2023–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (27) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🀝 Dynamic Duo (13) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (53) πŸ’Ž Century Club (14)

Conferences

AAAI (3) ICML (3) IJCAI (3) ACL (2) CVPR (2) NIPS (1)

Top co-authors

Weiming Liu (13) Chaochao Chen (11) Xiaolin Zheng (9) Yanchao Tan (6) Pengyang Zhou (5) Fan Wang (5) Jiahe Xu (4) Mengling Hu (3) Jun Wang (3) Huabin Zhu (2)

Keywords

federated learning (6) optimal transport (3) cross-domain recommendation (3) representation learning (2) knowledge transfer (2) non-iid datum (2) continual learning (1) contrastive learning (1) unsupervised learning (1) domain adaptation (1) knowledge extraction (1) embedding learning (1) prototype learning (1) model aggregation (1) domain generalization (1) pseudo labeling (1) source-free domain adaptation (1) probabilistic modeling (1) in-context learning (1) catastrophic forgetting (1)

Papers

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
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment CVPR 2025
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models ICML 2025
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation ICML 2024
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 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
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection NIPS 2024
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023
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
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering ACL 2023