Xinting Liao
Orcid: 0000-0002-8257-2381
According to our database1,
Xinting Liao authored at least 33 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
RVCBench: Benchmarking the Robustness of Voice Cloning Across Modern Audio Generation Models.
CoRR, February, 2026
When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs.
CoRR, February, 2026
2025
Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025
FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation.
IEEE Trans. Knowl. Data Eng., December, 2024
Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
A hybrid teaching-learning-based optimization algorithm for QoS-aware manufacturing cloud service composition.
Computing, 2022