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)