Hello! I am Zhifu Wei (魏智富 in Chinese), an incoming Ph.D. student (2027 cohort) at the School of Artificial Intelligence and Data Science, USTC, advised by Prof. An Zhang. I am completing my undergraduate degree at Northeastern University, advised by Prof. Guibing Guo.

My research interests focus on large language models (LLMs), AI agents, and recommender systems. I am particularly interested in using LLMs and AI agents to enhance recommender systems, from recommendation modeling to automated research and development.

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

你好！我是魏智富，中国科学技术大学人工智能与数据科学学院2027级博士生（即将入学），导师为张岸教授。本科就读于东北大学，在郭贵冰教授指导下开展科研。

我的研究兴趣集中在大语言模型（LLM）、AI Agent 与推荐系统。我特别关注利用大语言模型与智能体增强推荐系统，涵盖推荐建模与自动化研究开发。

如果你对我的研究感兴趣，或希望开展交流与合作，欢迎通过邮件与我联系。

🔥 News

2026.01: 🎉 Our paper on LLM-enhanced tail-item sequential recommendation (FAERec) was accepted at SIGIR 2026.
2026.01: Presented a poster and gave a research talk at the AAAI-26 Undergraduate Consortium.
2025.11: 🎉 Our paper on tail-aware data augmentation (TADA) was accepted at WWW 2026.

🔥 新闻

2026.01: 🎉 我们基于大语言模型的长尾序列推荐论文（FAERec）被 SIGIR 2026 接收。
2026.01: 在 AAAI-26 本科生联盟进行了海报展示和研究报告。
2025.11: 🎉 我们基于尾部感知数据增强的论文（TADA）被 WWW 2026 接收。

📝 Publications

^† indicates corresponding author.

Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
Zhifu Wei, Yizhou Dang, Guibing Guo^†, Chuang Zhao, Zhu Sun^†
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026) · Code · arXiv
TADA: Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation
Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo^†, Xingwei Wang^†
The ACM Web Conference (WWW 2026) · Code · arXiv

📝 论文

^† 表示通讯作者。

基于大语言模型融合与对齐增强的长尾序列推荐
魏智富，党翌洲，郭贵冰^†，赵闯，朱顺^†
ACM SIGIR 国际信息检索大会（SIGIR 2026） · 代码 · arXiv
TADA：面向长尾序列推荐的尾部感知数据增强
党翌洲，魏智富，黄敏涵，马连博，赵健哲，郭贵冰^†，王兴伟^†
The ACM Web Conference（WWW 2026） · 代码 · arXiv

📖 Education

2027 cohort (incoming), Ph.D. student, School of Artificial Intelligence and Data Science, USTC. Advisor: Prof. An Zhang.
Sep. 2023 – Jun. 2027 (Expected), B.E. in Computer Science and Technology, Northeastern University, Shenyang, China.

📖 教育经历

2027级（即将入学），中国科学技术大学人工智能与数据科学学院博士研究生，导师：张岸教授。
2023.09 – 2027.06（预计），东北大学计算机科学与技术专业工学学士，沈阳，中国。

💼 Research Experience

AI Agents for Recommender System Research — Aug. 2026 – Dec. 2026 (Expected)
- Research Intern, advised by Dr. Shuchang Liu, Kuaishou
- Exploring AI agents and automated research frameworks to accelerate recommender system architecture iteration and support user satisfaction modeling.
Research on Long-Tail Recommendation — Aug. 2025 – Jan. 2026
- Research Assistant, advised by Prof. Guibing Guo
- Investigated representation learning and data augmentation for long-tail sequential recommendation, co-authoring two papers accepted at top conferences: FAERec (SIGIR 2026), which combines collaborative signals with LLM-derived semantics to better represent sparse tail items, and TADA (WWW 2026), a tail-aware data augmentation framework for sparse user-item interactions.

💼 科研经历

面向推荐系统研究的 AI Agent — 2026.08 – 2026.12（预计）
- 研究实习生，导师：刘殊畅博士，快手
- 探索利用 AI Agent 与自动化研究框架，加快推荐系统架构迭代，并辅助用户满意度建模。
长尾推荐研究（FAERec & TADA） — 2025.08 – 2026.01
- 研究助理，导师：郭贵冰教授
- 研究长尾序列推荐的表示学习与数据增强，作为主要贡献者参与两项被顶级会议接收的工作：FAERec（SIGIR 2026），融合协同信号与 LLM 语义以增强稀疏长尾物品的表征；TADA（WWW 2026），面向稀疏交互的尾部感知数据增强框架。

🛠 Skills

Programming: Python, C/C++, PyTorch, NumPy
Research & Engineering Tools: Linux, Docker, Git, Overleaf

🛠 技能

编程语言： Python、C/C++、PyTorch、NumPy
研究与工程工具： Linux、Docker、Git、Overleaf

Zhifu Wei 魏智富