Hello! This is Yizhou Dang (党翌洲 in Chinese). I am currently a second-year Ph.D. student at Software College of Northeastern University, Shenyang, China. I am fortunate to be advised by Prof. Guibing Guo at DSLab. Before that, I earned my B.E. degree in 2023 at the same institute. I am honored to work closely with Dr. Enneng Yang and Dr. Yuting Liu.

My research interests focus on recommender systems (RS), especially sequential recommendation and data augmentation methods. Also, I am interested in large language models for RS. Please feel free to contact me by email if you have any questions or seeking collaborations.

🔥 News

• 2025.04: 🎉 Two papers are accepted by SIGIR 2025
• 2025.01: 🎉 Two papers are accepted by DASFAA 2025
• 2024.12: 🎉 One paper is accepted by ICASSP 2025
• 2024.12: 🎉 Three papers are accepted by AAAI 2025
• 2024.11: 🎉 One paper is accepted by TOIS
• 2024.09: 🔊 We released a survey on data augmentation for sequential recommendation
• 2024.07: 🎉 One paper is accepted by RecSys 2024
• 2023.10: 🏅 I'm honored to receive the National Scholarship for graduate student (Top 1%)
• 2023.10: 🎉 One paper is accepted by TKDE
• 2023.06: 🎓 I graduated from NEU!
• 2022.12: 🏅 I'm honored to receive the AAAI 2023 Student Scholarship
• 2022.11: 🎉 One paper is accepted by AAAI 2023

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📝 Publications

$^{\dagger}$ indicates corresponding author, * indicates equal contribution

Surveys

• Data Augmentation for Sequential Recommendation: A Survey
  arXiv 2024 | Paper Code 500+ Papers!
  Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo$^{\dagger}$, Linying Jiang, Xingwei Wang$^{\dagger}$, Jianzhe Zhao
  The repository collects the latest research progress of Data Augmentation (DA) and Contrastive Learning (CL) in recommender systems. Comments and contributions are welcome.

Research Papers

In the year of 2025:

• Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
  SIGIR 2025 | Just Accepted
  Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

• Augmenting Sequential Recommendation with Balanced Relevance and Diversity
  AAAI 2025 Oral Presentation | Paper Code
  Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo$^{\dagger}$, Jianzhe Zhao$^{\dagger}$, Xingwei Wang

• Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation
  SIGIR 2025 | Just Accepted
  Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

• CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation
  AAAI 2025 Oral Presentation | Paper Code
  Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu$^{\dagger}$, Guibing Guo$^{\dagger}$, Jianzhe Zhao, Xingwei Wang

• Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
  AAAI 2025 | In Press
  Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo$^{\dagger}$, Jianzhe Zhao$^{\dagger}$, Xingwei Wang

• Towards Unified Modeling for Positive and Negative Preferences in Sign-aware Recommendation
  DASFAA 2025 Oral Presentation | Paper Code
  Yuting Liu, Yizhou Dang, YuLiang Liang, Qiang Liu, Guibing Guo$^{\dagger}$, Jianzhe Zhao, Xingwei Wang

• Self-supervised Hierarchical Representation for Medication Recommendation
  DASFAA 2025 Oral Presentation | Paper Code
  YuLiang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang

• Harnessing Content and Structure in ID For Multimodal Recommendation
  ICASSP 2025 | Paper Code
  Yuting Liu*, Enneng Yang*, Yizhou Dang, Guibing Guo$^{\dagger}$, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang

In the year of 2024:

• Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences
  TOIS 2024 (ACM Transactions on Information Systems) | Paper Code
  Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo$^{\dagger}$, Linying Jiang, Jianzhe Zhao, Xingwei Wang

• Repeated Padding for Sequential Recommendation
  RecSys 2024 Oral Presentation | Paper Code
  Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang$^{\dagger}$, Jianzhe Zhao$^{\dagger}$

In the year of 2023:

• TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation
  TKDE 2023 (IEEE Transactions on Knowledge and Data Engineering) | Paper Code
  Yizhou Dang, Enneng Yang, Guibing Guo$^{\dagger}$, Linying Jiang, Xingwei Wang$^{\dagger}$, Xiaoxiao Xu, Qinghui Sun, Hong Liu

• Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
  AAAI 2023 Oral Presentation | Paper Code Video 中文解读
  Yizhou Dang, Enneng Yang, Guibing Guo$^{\dagger}$, Linying Jiang, Xingwei Wang$^{\dagger}$, Xiaoxiao Xu, Qinghui Sun, Hong Liu

📖 Educations

• 2023.09 - 2028.06 (Expected), Ph.D. in Software Engineering, Northeastern University, Shenyang, China.
• 2019.09 - 2023.06, Bachelor in Software Engineering, Northeastern University, Shenyang, China.

🏆 Honors and Awards

• 2023 National Scholarship for Graduate Student (Top 1%)
• 2022,2023 First-Class Scholarship from NEU
• 2022 AAAI Student Scholarship
• 2022 Baidu App User Experience Analysis Competition, First Prize
• 2022 Ministry of Education - Huawei Intelligent Foundation Future Stars
• 2021,2022 Huawei Intelligent Foundation Scholarship
• 2020 Outstanding Student of NEU

💻 Service

• Conference Reviewers:
  • KDD 2024
  • IJCAI 2025 (PC for Survey Track)
• Journal Reviewers:
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • ACM Transactions on Recommender Systems (TORS)