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Adaptive Expansion for Hypergraph Learning

Published in Under Review, 2023

In this work, we propose a novel CE-based Adaptive Expansion method called AdE to expand hypergraphs into weighted graphs that preserve the higher-order hypergraph structure information.

Recommended citation: Ma, T., Qian, Y., Zhang, C., & Ye, Y. Adaptive Expansion for Hypergraph Learning

Hypergraph Contrastive Learning for Drug Trafficking Community Detection

Published in ICDM, 2023

In this work, we propose a novel HyperGraph Contrastive Learning framework called HyGCL-DC that employs hypergraph to model the higher-order relationships among users to detect Drug trafficking Communities. Our newly collected dataset and source code is available here.

Recommended citation: Ma, T., Qian, Y., Zhang, C., & Ye, Y. Hypergraph Contrastive Learning for Drug Trafficking Community Detection. In ICDM 2023. https://ieeexplore.ieee.org/abstract/document/10415815

Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement

Published in WWW, 2024

We propose a novel dual-level HyperGraph Contrastive Learning framework with Adaptive Temperature (HyGCL-AdT) to boost contrastive learning over hypergraphs. Our source code is available here.

Recommended citation: Qian, Y., Ma, T., Zhang, C., & Ye, Y. Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. In WWW 2024. https://ieeexplore.ieee.org/abstract/document/10415815

[ICDM’23] Hypergraph Contrastive Learning for Drug Trafficking Community Detection

Published: December 01, 2023

I will present our work Hypergraph Contrastive Learning for Drug Trafficking Community Detection at ICDM’23.

Leader of Teaching Assistants for CSE 40567/60567: Computer Security

graduate/undergraduate course, University of Notre Dame, Department of Computer Science and Engineering, 2024

In Spring 2024, I was honored to be selected by Prof. Ye to serve as the Teaching Assistant (TA) leader for class CSE 40567/60567: Computer Security. My responsibilities included organizing the class, overseeing grading, holding Hands-On Practices, and contributing to course design.