I am a fourth-year Ph.D. student of Zhejiang University, supervised by Prof. Siliang Tang(汤斯亮). I obtained my B.S. degree at Zhejiang University of Technology.
My research interest includes Self-Supervised Graph Representation Learning, Graph Transfer Learning, Domain Generalization, Large Language Models and Graph Foundation Models.
We have proposed the first model-agnostic recipe for improving OOD generalization of graph contrastive learning (MARIO), and the first self-aligned graph contrastive learning framework (RoSA).
Recently, we propose an efficient tuning and inference algorithm for LLMs on textual graphs, named ENGINE, which effectively and efficiently combine GNN and LLMs through a side structure.
I am expected to graduate in June 2025 and seeking postdoctoral job opportunities. Please feel free to contact me if you are interested!
🔥 News
- 2024.08: 📘 The first survey of GraphRAG is available!
- 2024.07: 📘 First time as corresponding author for two papers: UniGAP and DeGTA
- 2024.07: 🚩 Our team ranked the 3-rd position (3/508) in the KDD CUP 2024
- 2024.04: 🎉 One paper is accepted by IJCAI 2024
- 2024.01: 🎉 Two papers are accepted by WWW 2024
- 2023.07: 🎉 One paper is accepted by ECAI 2023
- 2023.04: 🎉 One paper is accepted by IJCAI 2023
- 2022.04: 🎉 One paper is accepted by IJCAI 2022
🗃️ Publications
“*” denotes equal contribution, “†” denotes corresponding author
🕸 Graph Generalization
![not available](images/degta.png)
Graph Triple Attention Network: A Decoupled Perspective
Xiaotang Wang*, Yun Zhu*†, Haizhou Shi, Yongchao Liu, Chuntao Hong
![sym](images/mario.png)
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang†
![sym](images/sagd.png)
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework
Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang†
RoSA: A Robust Self-Aligned Framework for Node-Node Graph ContrastiveLearning
Yun Zhu*, Jianhao Guo*, Fei Wu, Siliang Tang†
🔧 Graph Adaption
![sym](images/unigap.png)
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks
Xiaotang Wang*, Yun Zhu*†, Haizhou Shi, Yongchao Liu, Chuntao Hong
![sym](images/bridge.png)
Bridging Local Details and Global Context in Text-Attributed Graphs
Yaoke Wang*, Yun Zhu*, Wenqiao Zhang, Yueting Zhuang, Yunfei Li, Siliang Tang†
![sym](images/engine.png)
Efficient Tuning and Inference for Large Language Models on Textual Graphs
Yun Zhu*, Yaoke Wang*, Haizhou Shi, Siliang Tang†
![sym](images/graphcontrol.png)
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning
Yun Zhu*, Yaoke Wang*, Haizhou Shi, Zhenshuo Zhang, Siliang Tang†
![sym](images/sglpt.png)
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
Yun Zhu, Jianhao Guo, Siliang Tang†
📚 Survey
![sym](images/graphrag.png)
Graph Retrieval-Augmented Generation: A Survey
Boci Peng*, Yun Zhu*, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang†, Siliang Tang
Others
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KDD-24-Workshop
LLaSA: Large Language and E-Commerce Shopping Assistant, Shuo Zhang, Boci Peng, Xinping Zhao, Boren Hu, Yun Zhu, Yanjia Zeng, Xuming Hu†, -
IJCAI-23
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference, Boren Hu*,Yun Zhu*, Jiacheng Li, Siliang Tang†,
🎖 Honors and Awards
- 2022-2023 Honor for Graduates-Excellence in Academic (Practice) Innovation
- 2021-2022 Award of Honor for Graduate
- 2020-2021 Award of Honor for Graduate
- 2019-2020 Outstanding Graduates in Zhejiang Province, Provincial Government Scholarship, The First Prize Scholarship
- 2018-2019 Provincial Government Scholarship, The First Prize Scholarship
- 2017-2018 Provincial Government Scholarship, The First Prize Scholarship
- 2016-2017 Provincial Government Scholarship, The First Prize Scholarship
🎓 Educations
- 2020.09 - 2025.06, Ph.D., Zhejiang University, Hangzhou.
- 2016.09 - 2020.06, Undergraduate, Software Engineering, Zhejiang Univeristy of Technology, Hangzhou.
- 2013.09 - 2016.06, Xin’anjiang High School, Jiande, Hangzhou, Zhejiang.
📝 Blogs
- A Glance of Graph Transformers (Chinese)
- The Applications of Mutal Information in Deep Learning (Chinese)
- Gumbel-Softmax for Differentiable Sampling (Chinese)
- Graph OOD Generalization (Chinese)
- More blogs can be found in here