Weiming Liu
Orcid: 0000-0002-4115-7667Affiliations:
- Zhejiang University, College of Computer Science, Hangzhou, China
According to our database1,
Weiming Liu
authored at least 33 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Self-Driven Dual-Path Learning for Reference-Based Line Art Colorization Under Limited Data.
IEEE Trans. Circuits Syst. Video Technol., March, 2024
Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization.
IEEE Trans. Multim., 2024
CoRR, 2024
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation.
CoRR, 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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
Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., November, 2023
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia 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
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems.
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
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.
Proceedings of the IEEE International Conference on Data Mining, 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
Neurocomputing, 2022
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.
CoRR, 2022
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022
2021
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021