Yizhou Dang

According to our database, Yizhou Dang authored at least 16 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation.

Chu Zhao, Eneng Yang, Yizhou Dang, Jianzhe Zhao, Guibing Guo, Xingwei Wang

CoRR, August, 2025

Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences.

Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang

ACM Trans. Inf. Syst., March, 2025

Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation.

Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Harnessing Content and Structure in ID for Multimodal Recommendation.

Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation.

Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation.

Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Augmenting Sequential Recommendation with Balanced Relevance and Diversity.

Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation.

Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu

IEEE Trans. Knowl. Data Eng., June, 2024

Self-supervised Hierarchical Representation for Medication Recommendation.

Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Data Augmentation for Sequential Recommendation: A Survey.

Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation.

Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

CoRR, 2024

Repeated Padding as Data Augmentation for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao

CoRR, 2024

Repeated Padding for Sequential Recommendation.

Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation.

Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang

CoRR, 2023

Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation.

Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023