Minjin Choi

Collaborative Distillation for Top-N Recommendation

2019

Knowledge distillation (KD) is a well-known method to reduce inference latency by compressing a cumbersome teacher model to a small student model. Despite the success of KD in the classification task, applying KD to recommender …

A variational quantum algorithm for tackling multi-dimensional Poisson equations with inhomogeneous boundary conditions

2024 · arXiv (Cornell University)

We design a variational quantum algorithm to solve multi-dimensional Poisson equations with mixed boundary conditions that are typically required in various fields of computational science. Employing an objective function that is formulated with the concept …

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion

2025 · arXiv (Cornell University)

Generative recommendation is an emerging paradigm that leverages the extensive knowledge of large language models by formulating recommendations into a text-to-text generation task. However, existing studies face two key limitations in (i) incorporating implicit item …