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Xiuyuan Qin

Researcher focusing on sequential recommendation and contrastive learning. M.S. graduate of Soochow University.

Publications GitHub Google Scholar

Research Interests

Sequential recommendation and user intent modeling
Contrastive learning and meta-optimized representation learning
Reproducible research tooling and open-source ML resources

Selected Publications

WSDM 2024 · Oral

Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation

Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng

arXiv · Code

SIGIR 2023 · Oral

Meta-optimized Contrastive Learning for Sequential Recommendation

Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng

arXiv · Code

All publications →

Featured Projects

ICSRec

WSDM 2024 Oral

PyTorch implementation of Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation.

Python ★ 43

MCLRec

SIGIR 2023 Oral

PyTorch implementation of Meta-optimized Contrastive Learning for Sequential Recommendation.

Python ★ 28

Paper_Rec_Skill

Tooling

Query rewriting and multi-source search skill for academic paper recommendation.

Python ★ 1

plot_demo

Visualization

Ready-to-use experiment figure templates commonly needed in research papers.

Python ★ 19

All projects → · GitHub profile →

About

I received my M.S. from Soochow University (2021–2024) and B.S. from Chongqing Normal University (2017–2021). My research explores how contrastive objectives and intent modeling can improve sequential recommenders under sparse, noisy interaction data.

On GitHub I maintain paper implementations (ICSRec, MCLRec) and practical research utilities for visualization, LLM learning resources, and paper recommendation workflows.

Feel free to reach me at QinHsiu@gmail.com.