Projects

Selected open-source work from github.com/QinHsiu — paper code, research tooling, and curated resources.

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

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

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

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

Curated resources for building LLMs from zero to one — data, training, inference, and deployment.

Datasets, competitions, learning sites, and research tooling for AI practitioners.