Yizhou Dang

According to our database, Yizhou Dang authored at least 22 papers between 2023 and 2026.

Collaborative distances:

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

2026

Exploring and Tailoring the Test-Time Augmentation for Sequential Recommendation.

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

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

Beyond Single Sequence: User Correlation Guided Cross-sequence Mixing for Sequential Recommendation.

Jiahui Zhang, Yizhou Dang, Enneng Yang, Jianzhe Zhao, Linying Jiang, Guibing Guo, Xingwei Wang

Mach. Intell. Res., June, 2026

Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models.

Yizhou Dang, Yifan Wu, Minhan Huang, Chuang Zhao, Lianbo Ma, Guibing Guo, Xingwei Wang, Zhu Sun

CoRR, April, 2026

Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation.

Zhifu Wei, Yizhou Dang, Guibing Guo, Chuang Zhao, Zhu Sun

CoRR, April, 2026

DeCO: A training-free framework for in-context knowledge editing via incremental reasoning.

Haoyu Xu, Yuliang Liang, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Linying Jiang, Xing-wei Wang

Knowl. Based Syst., 2026

Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation.

Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

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

Chu Zhao, Enneng 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Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences.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

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

Proceedings of the Database Systems for Advanced Applications, 2025

Self-supervised Hierarchical Representation for Medication Recommendation.

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

Proceedings of the Database Systems for Advanced Applications, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

Data Augmentation for Sequential Recommendation: A Survey.

Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo, Linying Jiang, 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