Information Maximization via Variational Autoencoders for Cross-Domain Recommendation.
CoRR, 2024
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random.
CoRR, 2024
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions.
Proceedings of the ACM on Web Conference 2024, 2024
Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Disentangled Representations Learning for Multi-target Cross-domain Recommendation.
ACM Trans. Inf. Syst., October, 2023
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.
ACM Trans. Inf. Syst., 2023
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations.
CoRR, 2023
Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Neural Node Matching for Multi-Target Cross Domain Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2023
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.
CoRR, 2022
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization.
CoRR, 2022
HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation.
CoRR, 2021