Yuting Liu

Yuting Liu

A first-year PhD student at Northeastern University. Focusing on personalized LLM and recommender systems

Hello! This is Yuting Liu (刘禹廷 in Chinese). I am a first-year PhD student at the Software College of Northeastern University, Shenyang, China. I am fortunate to be advised by Prof Guibing Guo and AR Qiang Liu. Before that, I earned my B.E. degree in 2022 at the same institute. I am honored to work closely with Dr. Jinghao Zhang and Dr. Yizhou Dang.

My research interests include multimodal recommendation systems (RS) and personalized large language models (LLM). Please feel free to contact me by email if you have any questions or seeking collaborations.

🔥 News

  • 2025.04:  🔊 We released an Awesome-Personalized-LLMs repository for personalized large language models.
  • 2025.04:  🎉 One paper is accepted by SIGIR 2025!
  • 2025.01:  🎉 Two papers are accepted by DASFAA 2025!
  • 2025.01:  🎉 One paper is accepted by WWW 2025!
  • 2024.12:  🎉 One paper is accepted by ICASSP 2025!
  • 2024.12:  🎉 Four 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!
  • 2024.06:  🎉 One paper is accepted by KBS!
  • 2024.05:  🎉 One paper is accepted by ACL 2024!
  • 2022.06:  🎓 I graduated from NEU!

📝 Publications

† indicates the corresponding author.

Surveys

  • [Arxiv 2024] Data Augmentation for Sequential Recommendation: A Survey. (Paper,Code)
    Yizhou Dang, Enneng Yang, Yuting Liu, Guibing Guo†, Linying Jiang, Xingwei Wang†, Jianzhe Zhao

Research Papers

  • [SIGIR 2025] Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation. (Paper, Code) Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

  • [DASFAA 2025] Towards Unified Modeling for Positive and Negative Preferences in Sign-aware Recommendation. (Oral)
    Yuting Liu, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

  • [DASFAA 2025] Self-supervised Hierarchical Representation for Medication Recommendation. (Oral)
    Yuliang Liang, Yuting Liu, Yizhou Dang, Enneng Yang, Guibing Guo, Wei Cai, Jianzhe Zhao, Xingwei Wang

  • [WWW 2025] Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. (Oral)
    Chu Zhao, Enneng Yang, Yuliang Liang, Pengxiang Lan, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang

  • [ICASSP 2025] Harnessing Content and Structure in ID for Multimodal Recommendation. Just Accepted.
    Yuting Liu, Enneng Yang, Yizhou Dang, Qiang Liu, Yuliang Liang, Guibing Guo, Linying Jiang†, Xingwei Wang

  • [AAAI 2025] CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation. (Oral ~20%).
    Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo†, Jianzhe Zhao, Xingwei Wang

  • [AAAI 2025] Advancing Large Language Model Fine-Tuning: A Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion. Just Accepted.
    Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo†, Jianzhe Zhao, Xingwei Wang

  • [AAAI 2025] Augmenting Sequential Recommendation with Balanced Relevance and Diversity. Just Accepted.
    Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo†, Jianzhe Zhao, Xingwei Wang

  • [AAAI 2025] Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation. Just Accepted.
    Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo†, Jianzhe Zhao, Xingwei Wang

  • [TOIS 2024] Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences. (Paper,Code)
    Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo†, Linying Jiang, Jianzhe Zhao, Xingwei Wang

  • [RecSys 2024] Repeated Padding for Sequential Recommendation. (Paper,Code)
    Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang†, Jianzhe Zhao†

  • [ACL 2024] Stealthy attack on large language model based recommendation. (Paper, Code)
    Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu†, Guibing Guo, and Liang Wang

  • [KBS 2024] Video and audio are images: A cross-modal mixer for original data on video–audio retrieval. (Paper, Code)
    Zichen Yuan, Qi Shen, Bingyi Zheng, Yuting Liu†, Linying Jiang, Guibing Guo†

  • [ECML-PKDD 2022] Bi-directional Contrastive Distillation for Multi-behavior Recommendation. (Paper)
    Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo

📖 Educations

  • 2024.09 - now, Ph.D. student in Software Engineering, Northeastern University, Shenyang, China.
  • 2022.09 - 2024.06, Master in Software Engineering, Northeastern University, Shenyang, China.
  • 2018.09 - 2022.06, Bachelor in Software Engineering, Northeastern University, Shenyang, China.

🎖 Honors and Awards

  • 2023 First-Class Scholarship from NEU for Graduate Student
  • 2022 Outstanding Graduate of Northeastern University
  • 2022 Huawei Smart Base Scholarship
  • 2021 Northeastern University Cai Guanshen Scholarship
  • 2019,2020,2021,2022 Outstanding Student of NEU

💻 Service

  • Conference Reviewers:
    • The Web Conference 2025
    • IJCNN 2025
    • ACM KDD 2024
    • The Web Conference 2024
  • Journal Reviewers:
    • ACM Transactions on Recommender Systems (TORS)
    • Electronic Commerce Research and Applications (ECRA)
    • Knowledge-based Systems (KBS)