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 methods, such as data augmentation and data synthesis.

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

🔥 Our team is seeking self-motivated students (including remote internships, undergraduates, graduate students, and other candidates) to join research on recommender systems, LLMs, and AI for science, with the goal of publishing high-quality academic papers. If interested, please email me your resume.

👏 News

📝 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
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026 · Code
  The code repository collects research on data augmentation and contrastive learning for recommendation (700+ papers).

Research Papers

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

• Enhancing Protein Representation Learning via Manifold Restore Mixing
  Yizhou Dang, Chuang Zhao, Lianbo Ma, Guibing Guo$^{\dagger}$, Xingwei Wang, Zhu Sun$^{\dagger}$
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026, In Press · 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, Oral), 2026 · Code

• 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, Chinese journal), 2026, In Press

• Smoothed Intent Learning for Sequential Recommendation
  Yifeng Su$^{\star}$, Yizhou Dang$^{\star}$, Xiaodong Cai$^{\dagger}$, Guibing Guo$^{\dagger}$
  ACM Transactions on Information Systems (TOIS), 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, Oral), 2026 · Code

• DeCO: A Training-Free Framework for In-Context Knowledge Editing via Incremental Reasoning
  Haoyu Xu, Yuliang Liang, Yizhou Dang, Guibing Guo$^{\dagger}$, Jianzhe Zhao, Linying Jiang, Xingwei Wang
  Knowledge-Based Systems (KBS), 2026

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

• 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

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

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

• 2026  SIGIR Student Travel Grant
• 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  AAAI Student Scholarship

💻 Service

• Conference Reviewers:
  • SIGIR 2026
  • AAAI 2026
  • IJCAI 2025, 2026
  • KDD 2024, 2026
• Journal Reviewers:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • ACM Transactions on Information Systems (TOIS)
  • ACM Transactions on Recommender Systems (TORS)

👨‍🎓 Mentorships

• Minhan Huang (2024.09-)  B.E. from NEU; now M.S. at NEU
• Yifeng Su (2024.11-)  M.S. from GUET; incoming Ph.D. at JLU
• Zhifu Wei (2024.12-2026.02)  B.E. from NEU
• Yifan Wu (2025.02-2026.02)  B.E. from NEU
• Yiming Zheng (2025.11-)  B.E. from NEU