News


07 Feb 2025
Honored to be invited to serve as a reviewer for the top-tier data mining conference KDD 2025 and journal TKDE!

25 Jan 2025
One paper on GNN-to-MLP Knowledge Distillation is accepted by DASFAA 2025!

21 Jan 2025
One paper on Heterogeneous Text-Attributed Graph is accepted by WWW 2025!

21 Dec 2024
One paper on GAE for Link Prediction is accepted by ICASSP 2025!

24 Oct 2024
One paper on Graph Self-Supervised Learning is accepted by Neural Networks 2024!

20 July 2024
One paper on Attributed Graph Clustering is accepted by TKDE 2024!

16 July 2024
One paper on Attributed Graph Clustering is accepted by CIKM 2024!

27 May 2024
One paper on Graph Self-Supervised Learning is accepted by ECML-PKDD 2024!

photo

Yunhui Liu

name

Ph.D. Student

State Key Laboratory for Novel Software Technology
Software Institute, Nanjing University, Nanjing, China

[Email] [GitHub] [Google Scholar]

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 		Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation
Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He
DASFAA 2025

Code

PDF 		Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains
Yunhui Liu, Qizhuo Xie, Jinwei Shi, Jiaxu Shen, Tieke He
WWW 2025 (Resource Track)

Code

PDF 		Norm-Augmented Graph AutoEncoders for Link Prediction
Yunhui Liu, Huaisong Zhang, Xinyi Gao, Liuye Guo, Zhen Tao, Tieke He
ICASSP 2025

Code

PDF 		Negative-Free Self-Supervised Gaussian Embedding of Graphs
Yunhui Liu, Tieke He, Tao Zheng, Jianhua Zhao
Neural Networks 2024

Code

PDF 		Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
Yunhui Liu, Xinyi Gao, Tieke He, Tao Zheng, Jianhua Zhao, Hongzhi Yin
TKDE 2024

Code

PDF 		Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering
Yunhui Liu, Tieke He, Qing Wu, Tao Zheng, Jianhua Zhao
CIKM 2024 (Short Paper)

Code

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 3,108,129+ downloads on Hugging Face🤗 since June 2023.
[Hugging Face ] [Demo]

Services

PC Member/Reviewer:
Subreviewer for SIGIR 2025
Reviewer for KDD 2025, ICANN 2025
Reviewer for IEEE Transactions on Knowledge and Data Engineering (TKDE)
Teaching Assistant:
Big Data Analytics, Nanjing University, Fall 2024
Data Management Fundamentals, Nanjing University, Spring 2025

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