CV

Education

• M.S. in Computer Science, Soochow University, 2021 – 2024
• B.S., Chongqing Normal University, 2017 – 2021

Research Interests

• Sequential recommendation and user intent modeling
• Contrastive learning / self-supervised representation learning
• Open-source research tooling for reproducible ML

Selected Publications

Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation

Qin, Xiuyuan, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, and Victor S. Sheng. "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation." WSDM 2024.

Meta-optimized Contrastive Learning for Sequential Recommendation

Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, and Victor S. Sheng. 2023. Meta-optimized Contrastive Learning for Sequential Recommendation. In SIGIR. 89–98.

Open-Source Projects

• ICSRec — WSDM 2024 Oral: PyTorch implementation of Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation.
• MCLRec — SIGIR 2023 Oral: PyTorch implementation of Meta-optimized Contrastive Learning for Sequential Recommendation.
• Paper_Rec_Skill — Tooling: Query rewriting and multi-source search skill for academic paper recommendation.
• plot_demo — Visualization: Ready-to-use experiment figure templates commonly needed in research papers.
• BYO-LLM-FZ2O — LLM: Curated resources for building LLMs from zero to one — data, training, inference, and deployment.
• Awesome-Resources — Resources: Datasets, competitions, learning sites, and research tooling for AI practitioners.

Skills

• Python, PyTorch, recommender systems
• Contrastive learning, sequential modeling (SASRec-style pipelines)
• Academic writing, experiment visualization, research tooling
• Git / GitHub collaboration and open-source maintenance

Contact

• Email: QinHsiu@gmail.com
• GitHub: github.com/QinHsiu
• Google Scholar: profile
• Homepage: qinhsiu.github.io