66 citations · 132 across the 6 of their papers we have counts for
7 papers
Computing Multi-Slot First-Price Pacing Equilibria at Scale via Entropic Smoothing
Yuchen Xie, Shenyinying Tu, Yuan Gao +2
Pacing equilibria describe how budget-constrained advertisers clear an ad market, but computing one at production scale is hard when every request fills several slots: the allocati…
Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data
Yuanqiao Zhang, Tiantian He, Yuan Gao +5
In this paper, we present Federated Robust Curvature Optimization (FedRCO), a novel second-order optimization framework designed to improve convergence speed and reduce communicati…
Alleviating Structural Distribution Shift in Graph Anomaly Detection
Yuan Gao, Xiang Wang, Xiangnan He +3
Graph anomaly detection (GAD) is a challenging binary classification problem due to its different structural distribution between anomalies and normal nodes -- abnormal nodes are a…
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Yuan Gao, Xiang Wang, Xiangnan He +2
Rumor detection has become an emerging and active research field in recent years. At the core is to model the rumor characteristics inherent in rich information, such as propagatio…
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
Yuan Gao, Jiawei Li, Maoguo Gong +2
Multi-party learning provides solutions for training joint models with decentralized data under legal and practical constraints. However, traditional multi-party learning approache…
Multi-Party Dual Learning
Maoguo Gong, Yuan Gao, Yu Xie +3
The performance of machine learning algorithms heavily relies on the availability of a large amount of training data. However, in reality, data usually reside in distributed partie…
An attention-based unsupervised adversarial model for movie review spam detection
Yuan Gao, Maoguo Gong, Yu Xie +1
With the prevalence of the Internet, online reviews have become a valuable information resource for people. However, the authenticity of online reviews remains a concern, and decep…