Yun Zhu

According to our database, Yun Zhu authored at least 20 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

E-CGL: an efficient continual graph learner.

Jianhao Guo, Zixuan Ni, Yun Zhu, Siliang Tang

Frontiers Inf. Technol. Electron. Eng., August, 2025

Learning Unified User Quantized Tokenizers for User Representation.

Chuan He, Yang Chen, Wuliang Huang, Tianyi Zheng, Jianhu Chen, Bin Dou, Yice Luo, Yun Zhu, Baokun Wang, Yongchao Liu, Xing Fu, Yu Cheng, Chuntao Hong, Weiqiang Wang, Xin-Wei Yao

CoRR, August, 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

Transferable and Forecastable User Targeting Foundation Model.

Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Graph Triple Attention Networks: A Decoupled Perspective.

Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Meta-Reflection: A Feedback-Free Reflection Learning Framework.

Yaoke Wang, Yun Zhu, XintongBao XintongBao, Wenqiao Zhang, Suyang Dai, Kehan Chen, Wenqiang Li, Gang Huang, Siliang Tang, Yueting Zhuang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark.

Boci Peng, Yongchao Liu, Xiaohe Bo, Jiaxin Guo, Yun Zhu, Xuanbo Fan, Chuntao Hong, Yan Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

CoRR, 2024

Graph Retrieval-Augmented Generation: A Survey.

Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang

CoRR, 2024

Graph Triple Attention Network: A Decoupled Perspective.

Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong

CoRR, 2024

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

CoRR, 2024

Bridging Local Details and Global Context in Text-Attributed Graphs.

Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, Yunfei Li, Siliang Tang

CoRR, 2024

GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning.

Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang

Proceedings of the ACM on Web Conference 2024, 2024

MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning.

Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang

Proceedings of the ACM on Web Conference 2024, 2024

Efficient Tuning and Inference for Large Language Models on Textual Graphs.

Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Bridging Local Details and Global Context in Text-Attributed Graphs.

Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, Liyunfei Liyunfei, Siliang Tang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

SGL-PT: A Strong Graph Learner with Graph Prompt Tuning.

Yun Zhu, Jianhao Guo, Siliang Tang

CoRR, 2023

SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference.

Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework.

Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning.

Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022