Weicong Qin (秦维聪)

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

He is currently a second-year master’s student at Gaoling School of Artificial Intelligence, Renmin University of China. He is working in IIR lab. His supervisors are AP. Xiao Zhang and Prof. Jun Xu. His major research interests are about Rec & Search with LLM, Generative Retrieval etc.

NEWS

🎤 ACL’25 Vienna • 28 Jul (Mon) ➤ Oral Pres. ｜ RecSys’25 Prague • 22 Sep ➤ Oral Pres.

👋 Look forward to exchanging

🎉 Job seeking now ｜ Class of 2026 Graduate ｜ Rec & Search with LLM, Generative Retrieval

🎯 Strong interest in Talent Programs of leading companies

📬 Welcome recruiters/industry peers to connect (qwc -AT- ruc.edu.cn)

09.2023-present Master’s Candidate, Gaoling School of Artificial Intelligence, Renmin University of China.
09.2019-06.2023 B.E., School of Computer Science and Technology, Huazhong University of Science and Technology.

All are FIRST-AUTHOR publications, except the last one which is a CO-FIRST-AUTHOR publication

[Search&Rec with LLM] “MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment.” ACL’25 Long Paper Main Conference (Oral)
[Generative Retrieval] “Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach.” SIGIR’24 Full Paper (Oral).
[LLM+RL for Rec] “Enhancing Sequential Recommendations through Multi-Perspective Reflections and Iteration.” RecSys’24 Full Paper Spotlight Oral.
[Retrieval in Noisy data] “Uncertainty-aware evidential learning for legal case retrieval with noisy correspondence.” Information Sciences (2025): 121915.
[Search with consultations] “Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search.” EMNLP’25 Long Paper Under Review
[Generative Retrieval with RQ-VAE] “Legal Document Generative Retrieval in Multi-Law-Code Scenarios” TKDE Under Review.
[LLM for Legal Domain] “Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey.” Arxiv’24.
[Theoretical Derivation of LLM4Rec] “Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent.” Arxiv’24.

Lenovo AI Research Institute | Algorithm Research Intern Mar 2024 - Feb 2023

Developed personalized search & recommendation algorithms using large-scale user data, resulting in several first/co-first author papers and multiple patent applications.

ByteDance (TikTok) | Algorithm Intern Feb 2023 - Jun 2023

User-Generated Content (UGC) Distribution Optimization and Cold-Start Flow Construction: Optimized the content distribution recall and utilized user short-term and long-term interest profiles to better match users with content likely to generate meaningful discussion, significantly improving key engagement metrics post-launch.
UGC Cold-Start Flow Construction: Designed and built a UGC cold-start flow to boost initial traffic for new user-generated content, preventing High-Potential Comment Section from being buried and fostering a healthier content ecosystem, significantly increasing submissions with informative comments.

Teaching Assistant, Retrieval and Recommendation in the Age of Artificial Intelligence, Spring 2024

The First Award of Graduate Study Scholarship in Gaoling School of Artificial Intelligence, Renmin University of China
Outstanding Graduate in Huazhong University of Science and Technology
Honours Bachelor in Huazhong University of Science and Technology
National Scholarship for Undergraduate Students
National Encouragement scholarship in Huazhong University of Science and Technology
Merit Student Scholarship in Huazhong University of Science and Technology