activity
20222025
most citedFedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation

30 citations · 32 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DB2025

S3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics (Technical Report)

Qi Wen, Yutong Ye, Xiang Lian +1

For the past decades, the \textit{subgraph similarity search} over a large-scale data graph has become increasingly important and crucial in many real-world applications, such as s…

cs.LG2025

FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control

Yutong Ye, Yingbo Zhou, Zhusen Liu +4

Although Reinforcement Learning (RL)-based Traffic Signal Control (TSC) methods have been extensively studied, their practical applications still raise some serious issues such as…

cs.SI2024

GCLS: Towards Efficient Community Detection Using Graph Contrastive Learning with Structure Semantics

Qi Wen, Yiyang Zhang, Yutong Ye +4

Due to the power of learning representations from unlabeled graphs, graph contrastive learning (GCL) has shown excellent performance in community detection tasks. Existing GCL-base…

cs.SI2024★ 1 cited

Efficient Community Detection Over Streaming Bipartite Networks (Technical Report)

Nan Zhang, Yutong Ye, Xiang Lian +2

The streaming bipartite graph is widely used to model the dynamic relationship between two types of entities in various real-world applications, including movie recommendations, lo…

cs.DB2024

Continuous Subgraph Matching via Cost-Model-based Dynamic Vertex Dominance Embeddings (Technical Report)

Yutong Ye, Xiang Lian, Nan Zhang +1

In many real-world applications such as social network analysis, knowledge graph discovery, biological network analytics, and so on, graph data management has become increasingly i…

cs.SI2024

Reverse Influential Community Search Over Social Networks (Technical Report)

Qi Wen, Nan Zhang, Yutong Ye +2

As an important fundamental task of numerous real-world applications such as social network analysis and online advertising/marketing, several prior works studied influential commu…

cs.SI2023★ 1 cited

Top-L Most Influential Community Detection Over Social Networks (Technical Report)

Nan Zhang, Yutong Ye, Xiang Lian +1

In many real-world applications such as social network analysis and online marketing/advertising, the community detection is a fundamental task to identify communities (subgraphs)…

cs.DB2023

Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding (Technical Report)

Yutong Ye, Xiang Lian, Mingsong Chen

The classic problem of exact subgraph matching returns those subgraphs in a large-scale data graph that are isomorphic to a given query graph, which has gained increasing importanc…

cs.LG2022★ 30 cited

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation

Ming Hu, Peiheng Zhou, Zhihao Yue +6

As a promising distributed machine learning paradigm, Federated Learning (FL) has attracted increasing attention to deal with data silo problems without compromising user privacy.…