Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation. - Yizhou Dang; Enneng Yang; Guibing Guo; Linying Jiang; Xingwei Wang 001; Xiaoxiao Xu; Qinghui Sun; Hong Liu (AAAI, 2023)

ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation. - Yuting Liu 003; Enneng Yang; Yizhou Dang; Guibing Guo; Qiang Liu 006; Yuliang Liang; Linying Jiang; Xingwei Wang 001 (CoRR, 2023)

Repeated Padding for Sequential Recommendation. - Yizhou Dang; Yuting Liu 003; Enneng Yang; Guibing Guo; Linying Jiang; Xingwei Wang 001; Jianzhe Zhao (RecSys, 2024)

Repeated Padding as Data Augmentation for Sequential Recommendation. - Yizhou Dang; Yuting Liu 003; Enneng Yang; Guibing Guo; Linying Jiang; Xingwei Wang 001; Jianzhe Zhao (CoRR, 2024)

Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation. - Yuting Liu 003; Yizhou Dang; Yuliang Liang; Qiang Liu 006; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (CoRR, 2024)

Data Augmentation for Sequential Recommendation: A Survey. - Yizhou Dang; Enneng Yang; Yuting Liu 003; Guibing Guo; Linying Jiang; Jianzhe Zhao; Xingwei Wang 001 (CoRR, 2024)

Self-supervised Hierarchical Representation for Medication Recommendation. - Yuliang Liang; Yuting Liu 003; Yizhou Dang; Enneng Yang; Guibing Guo; Wei Cai; Jianzhe Zhao; Xingwei Wang 001 (CoRR, 2024)

TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation. - Yizhou Dang; Enneng Yang; Guibing Guo; Linying Jiang; Xingwei Wang 001; Xiaoxiao Xu; Qinghui Sun; Hong Liu (IEEE Trans. Knowl. Data Eng., 2024)

Augmenting Sequential Recommendation with Balanced Relevance and Diversity. - Yizhou Dang; Jiahui Zhang; Yuting Liu 003; Enneng Yang; Yuliang Liang; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (AAAI, 2025)

Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation. - Shuwei Gong; Yuting Liu 003; Yizhou Dang; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (AAAI, 2025)

CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation. - Yuting Liu 003; Jinghao Zhang; Yizhou Dang; Yuliang Liang; Qiang Liu 006; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (AAAI, 2025)

Harnessing Content and Structure in ID for Multimodal Recommendation. - Yuting Liu 003; Enneng Yang; Yizhou Dang; Guibing Guo; Qiang Liu 006; Yuliang Liang; Linying Jiang; Xingwei Wang 001 (ICASSP, 2025)

Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation. - Yizhou Dang; Yuting Liu 003; Enneng Yang; Minhan Huang; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (SIGIR, 2025)

Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation. - Fei Li 044; Qingyun Gao; Yizhou Dang; Enneng Yang; Guibing Guo; Jianzhe Zhao; Xingwei Wang 001 (SIGIR, 2025)

Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences. - Yizhou Dang; Yuting Liu 003; Enneng Yang; Guibing Guo; Linying Jiang; Jianzhe Zhao; Xingwei Wang 001 (ACM Trans. Inf. Syst., 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, 2025)