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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
[Blog] Multimodality and Large Multimodal Models (LMMs)
Published:
Recently, I found a excellent blog that talked about existing Large Multimodal Models (LMMs). Here is the link to the blog.
AI Trustworthy: from Principles to Practices
Published:
Happy Thursday! Tomorrow, I am excited to give a presentation for Lucy Regional Industry Analytics Summer Internships. I will talk about the importance of AI trustworthiness, from principles to practices.
ND Summer Enrichment Program Starts Tomorrow!
Published:
Happy Memorial Day! The Notre Dame Summer Enrichment Program (SEP) will start tomorrow! Tomorrow, I will present my project proposal during the opening meeting.
Research Mentor for ND Summer Enrichment Program
Published:
Greetings! I am excited to serve as a research mentor for the ND Summer Enrichment Program. The program is designed to provide undergraduate students with an opportunity to engage in research projects with faculty and graduate students at the University of Notre Dame. I will work with a group of undergraduate students to explore the exciting world of research in computer science and engineering. I am looking forward to sharing my research experience and helping students develop their research skills.
Volunteer for CDF Freedom School at Purdue University
Published:
This summer, I will serve as a volunteer for CDF Freedom School at Purdue University!
portfolio
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Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
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
talks
[ICDM’23] Hypergraph Contrastive Learning for Drug Trafficking Community Detection
Published:
I will present our work Hypergraph Contrastive Learning for Drug Trafficking Community Detection at ICDM’23.
teaching
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.