Portrait of Weicong Qin
Email:q-zeus [AT] foxmail [DOT] com [Google Scholar] [GitHub] [ORCID]

Weicong Qin

Algorithm Researcher & Engineer · Xiaohongshu (RedNote)

I currently work at Xiaohongshu as an algorithm researcher and engineer in an innovation-focused team. I received my M.S. in Artificial Intelligence from the Gaoling School of Artificial Intelligence (GSAI), Renmin University of China (RUC), in 2026, where I was a member of the RUC-IIR Lab and was advised by Prof. Jun Xu.

In CSRankings' The Web & Information Retrieval area, RUC ranked No. 1 worldwide in 2025, No. 2 in 2024, and No. 3 over 2021–2023.

“A ship in harbor is safe, but that is not what ships are built for.”

— John A. Shedd

2026 Graduate Recruitment

I received offers through Tencent Qingyun Plan, ByteDance Soaring Star, Alibaba Taotian T-Star, JINGDONG TGT (Tech Genius Team), Kuaishou Kstar-X, and Xiaohongshu (RedNote) REDstar, and joined Xiaohongshu.

Research Interests

My previous research examined user intent, personalized recommendation and search, LLMs for recommendation and retrieval, generative retrieval, and robust learning from noisy supervision. My current interests center on scaling recommendation models, exploring next-generation paradigms for recommender systems, and developing user-personalized large language models.

Selected Publications

[Full list]
ACL2025 · LongOral

MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment

Weicong Qin, Yi Xu, Weijie Yu, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu

Paper ↗ Code ↗
EMNLP2025 · LongOral

Similarity = Value? Consultation Value-Assessment and Alignment for Personalized Search

Weicong Qin, Yi Xu, Weijie Yu, Teng Shi, Chenglei Shen, Ming He, Jianping Fan, Xiao Zhang, Jun Xu

Paper ↗ Code ↗
RecSys2025 · FullSpotlight

MoRE: A Mixture of Reflectors Framework for Large Language Model-Based Sequential Recommendation

Weicong Qin*, Yi Xu*, Weijie Yu, Chenglei Shen, Xiao Zhang, Ming He, Jianping Fan, Jun Xu

Paper ↗ Code ↗
SIGIR2024 · FullOral

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach

Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu

Paper ↗ arXiv ↗
Information Sciences2025 · Journal

Uncertainty-Aware Evidential Learning for Legal Case Retrieval with Noisy Correspondence

Weicong Qin, Weijie Yu, Kepu Zhang, Haiyuan Zhao, Jun Xu, Ji-Rong Wen

Paper ↗

* Equal contribution. My name is highlighted in each author list.

Experience

2026—Present

Xiaohongshu (RedNote)

Algorithm Researcher & Engineer

Work in an innovation-focused team on recommendation research and product development for a large-scale content community.

Feb—Jun 2025

ByteDance

Algorithm Intern · TikTok Recommendation

Worked on recommendation for UGC, focusing on content distribution, long- and short-term interest modeling, and cold-start traffic construction for emerging content.

Mar 2024—Feb 2025

Lenovo AI Research

Algorithm Research Intern

Developed personalized search and recommendation methods on large-scale user data, contributing to research papers and patent applications.

Education

2023—2026

M.S. in Artificial Intelligence

Gaoling School of Artificial Intelligence, Renmin University of China · RUC-IIR Lab · Advisor: Prof. Jun Xu

2019—2023

B.E. in Computer Science and Technology

Huazhong University of Science and Technology · Honors Bachelor's Degree · Outstanding Graduate

Honors

National Scholarship

Two-time recipient, undergraduate and graduate.

Outstanding Graduate of Beijing

Huazhong University of Science and Technology

Honors Bachelor's Degree · Outstanding Undergraduate · Outstanding Graduate

Merit Student · 5×

Awarded in all three undergraduate years and both graduate years.

Academic Services

Contact

I am always glad to discuss research ideas, recommendation systems, and practical collaboration.

q-zeus [AT] foxmail [DOT] com

Last updated July 2026