Tao Yu

Automated Self-Supervised Learning for Recommendation

2023

Graph neural networks (GNNs) have emerged as the state-of-the-art paradigm for collaborative filtering (CF). To improve the representation quality over limited labeled data, contrastive learning has attracted attention in recommendation and benefited graph-based CF model …

Rethinking Domain Adaptation and Generalization in the Era of CLIP

2024 · arXiv (Cornell University)

In recent studies on domain adaptation, significant emphasis has been placed on the advancement of learning shared knowledge from a source domain to a target domain. Recently, the large vision-language pre-trained model, i.e., CLIP has …

An Innovated Searching for Reviving Nations Nuclear Generating Electricity &BRICS Energy Consumption Status per capita Analysis' Achievement on Scientist's Behavior & Judgement with Sustainability

2026 · Zenodo (CERN European Organization for Nuclear Research)

The long and many times experimental trial will be necessary in order to guarantee the product property stably and reliably. As for the stable operation and reliable one the more times and choices will be …

Papers by this author

Automated Self-Supervised Learning for Recommendation

Rethinking Domain Adaptation and Generalization in the Era of CLIP

An Innovated Searching for Reviving Nations Nuclear Generating Electricity &BRICS Energy Consumption Status per capita Analysis' Achievement on Scientist's Behavior & Judgement with Sustainability

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models