Yingyi Zhang

About Me

I am now a fourth-year PhD candidate at the joint program between Dalian University of Technology (DUT) and City University of Hong Kong (CityU). And I am jointly supervised by Prof. Xianneng Li (at DUT) and Prof. Xiangyu Zhao (at CityU). Before that, I graduated from DUT with a bachelor’s degree in Information Management and Information Systems in 2020. My interests lie in Personalized Recommender System, Personalized RAG, and Personalized LLM.

🔥 News

• [Nov. 2025] I am awarded the Student Scholarship prize at AAAI’26!
• [Nov. 2025] Our paper about Personalized Pre-Retrieval is accepted to AAAI’26 as 🌟ORAL!
• [Nov. 2025] Our paper about LLM4Rank is accepted to AAAI’26, congrats to Zhewei!
• [Sep. 2025] Our paper about Agentic RAG is accepted to Neurips’25, congrats to Wenlin!
• [Aug. 2025] Our paper about Debias in RecSys is accepted to CIKM’25, congrats to Yue!
• [May. 2025] Our paper about Cloud-Device Collaboration is accepted to KDD’25!
• [Feb. 2025] Our paper about User Intent Recognition is accepted to WWW’25, congrats to Zhipeng!
• [Feb. 2025] Our BMI@DLUT win the 🥉bronze medal at WWW compitition: Multimodal Dialogue System Intent Recognition Challenge!
• [Sep. 2024] I started the joint PhD program bewteen DUT and CityU, joint supervised by Prof. Xianneng Li (at DUT) and Prof.Xiangyu Zhao (at CityU).
• [Aug. 2024] Our BMI@DLUT team awarded the 🥈Second Prize and Student Award in the KDD Cup 2024, User Behavior Alignment Track!
• [Nov. 2023] Our paper about Debias in RecSys is accepted to CAI’23, congrats to Yudi!
• [Sep. 2023] Our BMI@DLUT win the 🥉National Third Place at Supreme People’s Procuratorate National Procuratorate Big Data Legal Supervision!
• [Sep. 2023] I am awarded the Outstanding Graduate Student prize at DUT!
• [Jun. 2023] Our paper about Multi-Task in RecSys is accepted to RecSys’23, congrats to Zerong!
• [Jan. 2023] Our paper about Multi-Domain in RecSys is accepted to WWW’23!
• [Jan. 2023] Our paper about User Modelling in RecSys is accepted to Journal of Management Sciences in China, the Top 1 Chinese journal in Management and Science!
• [Sep. 2022] I started my PhD. Career at DUT, supervised by Prof. Xianneng Li.
• [Sep. 2021] I started the research intern at Metituan in the search group.

🎖 Awards

📖 Education

📝 Publications

• Our Survey Paper
  • Maolin Wang✨, Yingyi Zhang✨, Bowen Yu✨, Bingguang Hao, Cunyin Peng, Yicheng Chen, Wei Zhou, Jinjie Gu, Chenyi Zhuang, Ruocheng Guo, Wanyu Wang, Xiangyu Zhao. Function Calling in Large Language Models: Industrial Practices, Challenges, and Future Directions. Preprint
  • Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao. A Survey of Personalization: From RAG to Agent. Preprint
  • Wenlin Zhang, Xiaopeng Li, Yingyi Zhang, Pengyue Jia, Yichao Wang, Huifeng Guo, Yong Liu, Xiangyu Zhao. Deep research: A survey of autonomous research agents. Preprint
• Other Metioned Papers
  • Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. Accepted at Neurips’25
  • Yue Que, Yingyi Zhang, Xiangyu Zhao, Chen Ma. Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation. Accepted at CIKM’25
  • Yudi Xiao, Yingyi Zhang, Xianneng Li. Modeling Variational Anchoring Effect for Recommender Systems. Accepted at CAI’23
  • Zerong Lan, Yingyi Zhang, Xianneng Li. M3REC: A Meta-based Multi-scenario Multi-task Recommendation Framework. Accepted at RecSys’23

💻 Internships

• Oct. 2024 - Now: Research Intern at Huawei, Noah’s Ark Lab.
  • Working on Personalized RAG and Recommendation with LLM.
• Sep. 2021 - Jul. 2022: Research Intern at Meituan, Search Group.
  • Studied on Cross Business Domain Complementary and Fusion Methods from Perspective of Consumer Behavior Understanding.

✏️ Services

• Reviewer
  • AAAI 2026
• Volunteer
  • AAAI 2026

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