I am a first-year Ph.D. student at Software Institute, Nanjing University. My research interests revolve around graph machine learning, such as self-supervised learning, deep graph clustering, and scalable graph learning. I am also intrigued by the downstream applications of graph machine learning, including fraud detection and recommender systems. Furthermore, I have a keen interest in exploring the intersection of graphs with large language models and biomedical sciences.

Publications

PDF	Negative-Free Self-Supervised Gaussian Embedding of Graphs Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao Neural Networks 2024
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PDF	Reliable Node Similarity Matrix Guided Contrastive Graph Clustering Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin TKDE 2024
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PDF	Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao CIKM 2024 (Short Paper)
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PDF	Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning Yunhui Liu, Huaisong Zhang, Tieke He, Tao Zheng, Jianhua Zhao ECML-PKDD 2024
Code

Projects

StackOverflow-RoBERTa-base-Sentiment A fine-tuned RoBERTa-base model for sentiment analysis on software engineering texts. It has garnered 3,048,297+ downloads on Hugging Face🤗 since June 2023. [Hugging Face ] [Demo]

Education

Nanjing University (NJU) Ph.D. Student in Software Engineering Sept. 2024 - Present, Nanjing Advisor: Prof. Tieke He and Prof. Jianhua Zhao

Nanjing University (NJU) Bachelor in Software Engineering Sept. 2020 - June 2024, Nanjing Advisor: Prof. Tieke He