Hello! This is Yizhou Dang (党翌洲 in Chinese). I am currently a second-year PhD 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 work closely with Enneng Yang and 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

• 2024.07:  🎉 One paper is accepted by RecSys 2024
• 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

✨ Repositories

• DA&CL4Rec 400+ Papers!
  This repository collects the latest research progress of Data Augmentation (DA) and Contrastive Learning (CL) in recommender systems. Comments and contributions are welcome.

📝 Publications

$^{\dagger}$ indicates corresponding author

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

• TiCoSeRec: Augmenting Data to Uniform Sequences by Time Intervals for Effective Recommendation
  TKDE 2023 | Paper
  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 | 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 Smart Base Future Stars
• 2021,2022 Huawei Smart Base Scholarship
• 2020 Outstanding Student of NEU

💻 Service

• Conference Reviewers:
  • KDD 2024
• Journal Reviewers:
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • ACM Transactions on Recommender Systems (TORS)