I am a final-year Ph.D. student at Zhejiang University under the supervision of Prof. Siliang Tang (汤斯亮), and a research intern at AntGroup, mentored by Yongchao Liu (刘永超). My research centers on two primary areas: (1) Graph-related studies, including Self-Supervised Graph Representation Learning and Graph Foundation Models, and (2) LLM-related studies, encompassing Efference Inference, Post-Training, and GraphRAG. Additionally, I explore integrating the strengths of these fields to advance model reasoning, with a particular emphasis on GraphRAG and text-attributed graph foundation models.
Specifically, we recently published the first comprehensive survey on GraphRAG, which formalizes the GraphRAG workflow. Moreover, we introduced a novel Graph Foundation Model, leveraging LLMs to achieve remarkable cross-domain and cross-task transferability.
I expect to graduate in June 2025 and am actively looking for a job. If interested, please feel free to contact me.
🔥 News
- 2025.02: 🚩 Our team ranked the 5-th position (5/76) in the AgentSociety Challenge [Topic: Agent for Recommendation]
- 2025.01: 🎉 Two papers are accepted by WWW 2025
- 2024.12: 🧑🏻🏫 Invited talk on GraphRAG at 🕸️LDBC
- 2024.11: 🎉 One paper is accepted by KDD 2025
- 2024.10: 📘 Our Graph Foundation Model is available
- 2024.09: 🎉 One paper is accepted by EMNLP 2024 (Main)
- 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 [Topic: LLMs for Recommendation]
- 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-Related Studies
🕸 Graph Generalization
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang†
Graph Triple Attention Network: A Decoupled Perspective
Xiaotang Wang*, Yun Zhu*†, Haizhou Shi, Yongchao Liu, Chuntao Hong
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang†
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 Contrastive Learning
Yun Zhu*, Jianhao Guo*, Fei Wu, Siliang Tang†
🔧 Graph Adaption
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
Bridging Local Details and Global Context in Text-Attributed Graphs
Yaoke Wang*, Yun Zhu*, Wenqiao Zhang, Yueting Zhuang, Yunfei Li, Siliang Tang†
Efficient Tuning and Inference for Large Language Models on Textual Graphs
Yun Zhu*, Yaoke Wang*, Haizhou Shi, Siliang Tang†
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†
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
Yun Zhu, Jianhao Guo, Siliang Tang†
LLM-Related Studies
🚀 Efficient Inference
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference
Boren Hu*,Yun Zhu*, Jiacheng Li, Siliang Tang†
🔧 Post-Training
Transferable and Forecastable User Targeting Foundation Model
Bin Dou, Baokun Wang†, Yun Zhu, et al.
LLaSA: Large Language and E-Commerce Shopping Assistant
Shuo Zhang, Boci Peng, Xinping Zhao, Boren Hu, Yun Zhu, Yanjia Zeng, Xuming Hu†
💾 GraphRAG & Reflection
Graph Retrieval-Augmented Generation: A Survey
Boci Peng*, Yun Zhu*, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang†, Siliang Tang
Meta-Reflection: A Feedback-Free Reflection Learning Framework
Yaoke Wang, Yun Zhu, Xintong Bao, Wenqiao Zhang†, Suyang Dai, Kehan Chen†, Wenqiang Li, Gang Huang, Siliang Tang, Yueting Zhuang
💼 Internships
- 2024.2 - Present: Research intern at AntGroup focusing on Foundation Models, Post-training and GraphRAG, mentored by Yongchao Liu (刘永超)
🎖 Honors and Awards
- 2023-2024 Award of Honor for Graduate
- 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