Jiahao Liu

Topic-to-Essay Generation with Neural Networks

2018

We focus on essay generation, which is a challenging task that generates a paragraph-level text with multiple topics.Progress towards understanding different topics and expressing diversity in this task requires more powerful generators and richer training …

Design and Implementation of Information Subscription System Based on Intelligent Crawler

2020

With the continuous growth of data volume in the information age, it is becoming more and more difficult for people to obtain information they care about. The traditional way of manually collecting information from such …

DPFed: Toward Fair Personalized Federated Learning with Fast Convergence

2022

Instead of training a single global model to fit the needs of all clients, personalized federated learning aims to train multiple client-specific models to better account for data disparities across participating clients. However, existing solutions …

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank

2023 · arXiv (Cornell University)

Unsupervised sentence representation learning is one of the fundamental problems in natural language processing with various downstream applications. Recently, contrastive learning has been widely adopted which derives high-quality sentence representations by pulling similar semantics closer …

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Session-Based Recommendation (SBR) based on Graph Neural Networks (GNN) has become a new paradigm for recommender systems, and plays a fundamental role in e-commerce and other relevant domains. Existing graph aggregation methods primarily form node …