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ORCIDYun Zhu 0007
Person information
- affiliation: Shanghai AI Laboratory, China
Other persons with the same name
- Yun Zhu — disambiguation page
- Yun Zhu 0001 — Yale University, Departments of Biomedical Engineering and Diagnostic Radiology, New Haven, CT, USA
- Yun Zhu 0002 — Shanghai University, School of Communication and Information Engineering, China
- Yun Zhu 0003
![[0000-0002-9500-5415]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9500-5415")
— Tulane University, School of Public Health and Tropical Medicine, New Orleans, LA, USA (and 1 more) - Yun Zhu 0004 — University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA
- Yun Zhu 0005 — South China University of Technology, Guangzhou Higher Education Mega Center, College of Environment and Energy, China
- Yun Zhu 0006
- Yun Zhu 0008
- Yun Zhu 0009
- Yun Zhu 0010
- Yun Zhu 0011
- Yun Zhu 0012
- Yun Zhu 0013
- Yun Zhu 0014
- Yun Zhu 0015
- Yun Zhu 0016
- Yun Zhu 0017
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2020 – today
- 2025
[j1]Jianhao Guo, Zixuan Ni, Yun Zhu, Siliang Tang:
E-CGL: an efficient continual graph learner. Frontiers Inf. Technol. Electron. Eng. 26(8): 1441-1453 (2025)- [c12]Yaoke Wang, Yun Zhu, XintongBao XintongBao, Wenqiao Zhang, Suyang Dai, Kehan Chen, Wenqiang Li, Gang Huang, Siliang Tang, Yueting Zhuang:
Meta-Reflection: A Feedback-Free Reflection Learning Framework. ACL (1) 2025: 3958-3976 - [c11]Boci Peng, Yongchao Liu, Xiaohe Bo, Jiaxin Guo, Yun Zhu, Xuanbo Fan, Chuntao Hong, Yan Zhang:
M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark. ACL (1) 2025: 30594-30620 - [c10]Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong:
Graph Triple Attention Networks: A Decoupled Perspective. KDD (1) 2025: 1527-1538 - [c9]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:
Transferable and Forecastable User Targeting Foundation Model. WWW (Companion Volume) 2025: 181-190 - [c8]Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang:
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. WWW 2025: 2183-2197 - [i16]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:
Learning Unified User Quantized Tokenizers for User Representation. CoRR abs/2508.00956 (2025) - 2024
- [c7]Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, Liyunfei Liyunfei, Siliang Tang:
Bridging Local Details and Global Context in Text-Attributed Graphs. EMNLP 2024: 14830-14841 - [c6]Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang:
Efficient Tuning and Inference for Large Language Models on Textual Graphs. IJCAI 2024: 5734-5742 - [c5]Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang:
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. WWW 2024: 300-311 - [c4]Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang:
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. WWW 2024: 539-550 - [i15]Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang:
Efficient Tuning and Inference for Large Language Models on Textual Graphs. CoRR abs/2401.15569 (2024) - [i14]Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, Yunfei Li, Siliang Tang:
Bridging Local Details and Global Context in Text-Attributed Graphs. CoRR abs/2406.12608 (2024) - [i13]Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong:
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks. CoRR abs/2407.19420 (2024) - [i12]Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong:
Graph Triple Attention Network: A Decoupled Perspective. CoRR abs/2408.07654 (2024) - [i11]Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang:
Graph Retrieval-Augmented Generation: A Survey. CoRR abs/2408.08921 (2024) - [i10]Jianhao Guo, Zixuan Ni, Yun Zhu, Siliang Tang:
E-CGL: An Efficient Continual Graph Learner. CoRR abs/2408.09350 (2024) - [i9]Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang:
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. CoRR abs/2410.10329 (2024) - [i8]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:
Transferable and Forecastable User Targeting Foundation Model. CoRR abs/2412.12468 (2024) - [i7]Yaoke Wang, Yun Zhu, Xintong Bao, Wenqiao Zhang, Suyang Dai, Kehan Chen, Wenqiang Li, Gang Huang, Siliang Tang, Yueting Zhuang:
Meta-Reflection: A Feedback-Free Reflection Learning Framework. CoRR abs/2412.13781 (2024) - 2023
- [c3]Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang:
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. ECAI 2023: 3066-3073 - [c2]Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang:
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference. IJCAI 2023: 5067-5075 - [i6]Yun Zhu, Jianhao Guo, Siliang Tang:
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning. CoRR abs/2302.12449 (2023) - [i5]Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang:
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. CoRR abs/2303.05231 (2023) - [i4]Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang:
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference. CoRR abs/2303.09266 (2023) - [i3]Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang:
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. CoRR abs/2307.13055 (2023) - [i2]Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang:
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. CoRR abs/2310.07365 (2023) - 2022
- [c1]Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang:
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. IJCAI 2022: 3795-3801 - [i1]Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang:
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. CoRR abs/2204.13846 (2022)
Coauthor Index
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