1 citations · 1 across the 2 of their papers we have counts for
4 papers
Online Learning for Autoregressive Multilayer Stochastic Block Models under Stationarity and Non-Stationarity
Fan Wang, Haotian Xu, Yi Yu
Dynamic multilayer networks arise in many applications where multiple types of relations among a common set of nodes evolve over time. Existing approaches often assume temporal ind…
PRIME: Efficient Algorithm for Token Graph Routing Problem
Haotian Xu, Yuqing Zhu, Yuming Huang +1
Optimizing asset exchanges on blockchain-driven platforms poses a novel and challenging graph query optimization problem. In this model, assets represent vertices and exchanges for…
Graph Concept Bottleneck Models
Haotian Xu, Tsui-Wei Weng, Lam M. Nguyen +1
Concept Bottleneck Models (CBMs) provide explicit interpretations for deep neural networks through concepts and allow intervention with concepts to adjust final predictions. Existi…
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
Haotian Xu, Zhaorui Zhang, Sheng Di +3
Federated learning has been identified as an efficient decentralized training paradigm for scaling the machine learning model training on a large number of devices while guaranteei…