Hello! This is Yizhou Dang (党翌洲 in Chinese). I am currently a third-year Ph.D. student at Software College of Northeastern University, Shenyang, China. I am fortunate to be advised by Prof. Guibing Guo. 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 AI for science (enzyme design) and recommender systems (sequential recommendation and LLM-based recommendation).

I am particularly interested in data-centric (data augmentation, data synthesis, etc) methods.

Please feel free to contact me by email if you have any questions or are seeking collaborations.

🔥 News

• 2026.04: 🎉 Two papers are accepted by SIGIR 2026
• 2026.03: 🎉 One paper is accepted by JOS (Journal of Software, a Chinese journal)
• 2026.02: 🎉 One paper is accepted by TPAMI
• 2026.01: 🎉 One paper is accepted by WWW 2026
• 2025.12: 🏅 I'm honored to Granted by the Young Talent Support Program for Doctoral Students, CAST
• 2025.06: 🎉 One paper is accepted by MIR
• 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

More

📝 Publications

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

Surveys

• Data Augmentation for Sequential Recommendation: A Survey
  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.
  [Code] 700+ papers contained in the repository!

Research Papers

In the year of 2026:

• Exploring and Tailoring the Test-Time Augmentation for Sequential Recommendation
  Yizhou Dang, Enneng Yang, Yuting Liu, Jianzhe Zhao, Xingwei Wang$^{\dagger}$, Guibing Guo$^{\dagger}$
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026
  [Code]

• 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$^{\dagger}$, Xingwei Wang$^{\dagger}$, Zhu Sun
  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026
  [Code] (Just Accepted)

• Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation
  Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo$^{\dagger}$, Xingwei Wang$^{\dagger}$
  The Web Conference (WWW), 2026
  [Code]

• Repairing and Enriching Heuristic Data Augmentation for Sequential Recommendation
  Yizhou Dang, Chu Zhao, Linying Jiang, Lianbo Ma, Guibing Guo$^{\dagger}$
  Journal of Software (JOS, a Chinese journal), 2026
  (In Press)

• Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
  Zhifu Wei, Yizhou Dang, Guibing Guo$^{\dagger}$, Chuang Zhao, Zhu Sun$^{\dagger}$
  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026
  [Code] (Just Accepted)

In the year of 2025:

• Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
  Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo$^{\dagger}$, Jianzhe Zhao$^{\dagger}$, Xingwei Wang
  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, Oral), 2025
  [Code]

• Augmenting Sequential Recommendation with Balanced Relevance and Diversity
  Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo$^{\dagger}$, Jianzhe Zhao$^{\dagger}$, Xingwei Wang
  AAAI Conference on Artificial Intelligence (AAAI, Oral), 2025
  [Code]

• Beyond Single Sequence: User Correlation Guided Cross-Sequence Mixing for Sequential Recommendation
  Jiahui Zhang$^{\star}$, Yizhou Dang$^{\star}$, Enneng Yang, Jianzhe Zhao, Linying Jiang, Guibing Guo$^{\dagger}$, Xingwei Wang
  Machine Intelligence Research (MIR), 2025
  [Code] (In Press)

• Denoising Multi-Interest-Aware Logical Reasoning for Long-Sequence Recommendation
  Fei Li, Qingyun Gao, Yizhou Dang, Enneng Yang, Guibing Guo$^{\dagger}$, Jianzhe Zhao, Xingwei Wang$^{\dagger}$
  International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, Oral), 2025
  [Code]

• CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation
  Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu$^{\dagger}$, Guibing Guo$^{\dagger}$, Jianzhe Zhao, Xingwei Wang
  AAAI Conference on Artificial Intelligence (AAAI, Oral), 2025
  [Code]

• Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
  Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo$^{\dagger}$, Jianzhe Zhao$^{\dagger}$, Xingwei Wang
  AAAI Conference on Artificial Intelligence (AAAI), 2025
  [Code]

• Towards Unified Modeling for Positive and Negative Preferences in Sign-aware Recommendation
  Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo$^{\dagger}$, Jianzhe Zhao, Xingwei Wang
  Database Systems for Advanced Applications (DASFAA, Oral), 2025
  [Code]

• Self-supervised Hierarchical Representation for Medication Recommendation
  Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo$^{\dagger}$, Wei Cai, Jianzhe Zhao, Xingwei Wang
  Database Systems for Advanced Applications (DASFAA, Oral), 2025
  [Code]

• Harnessing Content and Structure in ID For Multimodal Recommendation
  Yuting Liu$^{\star}$, Enneng Yang$^{\star}$, Yizhou Dang, Guibing Guo$^{\dagger}$, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
  [Code]

In the year of 2024:

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

• Repeated Padding for Sequential Recommendation
  Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang$^{\dagger}$, Jianzhe Zhao$^{\dagger}$
  ACM Conference on Recommender Systems (RecSys, Oral), 2024
  [Code]

In the year of 2023:

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

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

📖 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

• 2025 Young Talent Support Program for Doctoral Students, CAST (中国科协青年科技人才培育工程博士生专项计划)
• 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:
  • SIGIR 2026
  • AAAI 2026
  • IJCAI 2025, 2026
  • KDD 2024, 2026
• Journal Reviewers:
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • ACM Transactions on Information Systems (TOIS)
  • ACM Transactions on Recommender Systems (TORS)