Yuchen Li

Context-aware advertisement recommendation for high-speed social news feeding

2016

Social media advertising is a multi-billion dollar market and has become the major revenue source for Facebook and Twitter. To deliver ads to potentially interested users, these social network platforms learn a prediction model for …

<i>MHRR</i>: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking

2023 · IEEE Transactions on Services Computing

The exponential growth of Massive Open Online Courses (MOOCs) surges the needs of advanced models for personalized Online Education Services (OES). Existing solutions successfully recommend MOOCs courses via deep learning models, they however generate weak …

SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Graph contrastive learning has emerged as a powerful technique for learning graph representations that are robust and discriminative. However, traditional approaches often neglect the critical role of subgraph structures, particularly the intra-subgraph characteristics and inter-subgraph …

SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization

2025

How can we efficiently identify the densest subgraph over relational graphs? Existing dense subgraph discovery (DSD) approaches assume that a relational graph H is already derived from a heterogeneous data source and they focus on …

Asynchronous Personalized Federated Learning through Global Memorization

2025 · arXiv (Cornell University)

The proliferation of Internet of Things devices and advances in communication technology have unleashed an explosion of personal data, amplifying privacy concerns amid stringent regulations like GDPR and CCPA. Federated Learning offers a privacy preserving …