Junda Wu

Graph-DPP: Sampling Diverse Neighboring Nodes via Determinantal Point Process

2020

Recently, various graph neural network based approaches have been proposed to learn graph feature representations. However, there exists a long-term outstanding issue, i.e., over-smoothing problem. That is, when convoluting deeper neighboring nodes, the feature difference …

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning

2024

In this paper, we study personalized federated learning for text classification with Pretrained Language Models (PLMs).We identify two challenges in efficiently leveraging PLMs for personalized federated learning: 1) Communication.PLMs are usually large in size, inducing …

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System

2025 · arXiv (Cornell University)

Conversational recommender systems (CRS) typically require extensive domain-specific conversational datasets, yet high costs, privacy concerns, and data-collection challenges severely limit their availability. Although Large Language Models (LLMs) demonstrate strong zero-shot recommendation capabilities, practical applications often …