Yun Zhu

33 papers A* 7A 1Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph Retrieval-Augmented Generation: A Survey.
ACM Trans. Inf. Syst.
Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang
2026 J jnl
PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models.
CoRR
Haoyu Zheng, Yun Zhu, Yuqian Yuan, Bo Yuan, Wenqiao Zhang, Siliang Tang, Jun Xiao
2025 J jnl
E-CGL: an efficient continual graph learner.
Frontiers Inf. Technol. Electron. Eng.
Jianhao Guo, Zixuan Ni, Yun Zhu, Siliang Tang
2025 — conf
Graph Triple Attention Networks: A Decoupled Perspective.
KDD (1)
Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
2025 A* conf
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs.
WWW
Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang
2025 J jnl
Learning Unified User Quantized Tokenizers for User Representation.
CoRR
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
2025 — conf
Meta-Reflection: A Feedback-Free Reflection Learning Framework.
ACL (1)
Yaoke Wang, Yun Zhu, XintongBao XintongBao, Wenqiao Zhang, Suyang Dai, Kehan Chen, Wenqiang Li, Gang Huang, Siliang Tang, Yueting Zhuang
2025 — conf
M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark.
ACL (1)
Boci Peng, Yongchao Liu, Xiaohe Bo, Jiaxin Guo, Yun Zhu, Xuanbo Fan, Chuntao Hong, Yan Zhang
2025 J jnl
Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving.
CoRR
Chengying Huan, Ziheng Meng, Yongchao Liu, Zhengyi Yang, Yun Zhu, Yue Yun, Shipeng Li, Rong Gu, Xiabao Wu, Haitao Zhang, Chuntao Hong, Shaonan Ma, Guihai Chen, Chen Tian
2025 — conf
Transferable and Forecastable User Targeting Foundation Model.
WWW (Companion Volume)
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
2025 J jnl
WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing.
CoRR
Kaihang Pan, Weile Chen, Haiyi Qiu, Qifan Yu, Wendong Bu, Zehan Wang, Yun Zhu, Juncheng Li, Siliang Tang
2024 A* conf
Bridging Local Details and Global Context in Text-Attributed Graphs.
EMNLP
Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, Liyunfei, Siliang Tang
2024 J jnl
Bridging Local Details and Global Context in Text-Attributed Graphs.
CoRR
Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, Yunfei Li, Siliang Tang
2024 J jnl
E-CGL: An Efficient Continual Graph Learner.
CoRR
Jianhao Guo, Zixuan Ni, Yun Zhu, Siliang Tang
2024 A* conf
Efficient Tuning and Inference for Large Language Models on Textual Graphs.
IJCAI
Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang
2024 J jnl
Efficient Tuning and Inference for Large Language Models on Textual Graphs.
CoRR
Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang
2024 J jnl
Graph Retrieval-Augmented Generation: A Survey.
CoRR
Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang
2024 J jnl
Graph Triple Attention Network: A Decoupled Perspective.
CoRR
Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
2024 J jnl
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs.
CoRR
Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang
2024 A* conf
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning.
WWW
Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang
2024 A* conf
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning.
WWW
Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang
2024 J jnl
Meta-Reflection: A Feedback-Free Reflection Learning Framework.
CoRR
Yaoke Wang, Yun Zhu, Xintong Bao, Wenqiao Zhang, Suyang Dai, Kehan Chen, Wenqiang Li, Gang Huang, Siliang Tang, Yueting Zhuang
2024 J jnl
Transferable and Forecastable User Targeting Foundation Model.
CoRR
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
2024 J jnl
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks.
CoRR
Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
2023 J jnl
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning.
CoRR
Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang
2023 J jnl
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning.
CoRR
Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang
2023 J jnl
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning.
CoRR
Yun Zhu, Jianhao Guo, Siliang Tang
2023 A* conf
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference.
IJCAI
Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang
2023 J jnl
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference.
CoRR
Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang
2023 A conf
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework.
ECAI
Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang
2023 J jnl
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework.
CoRR
Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang
2022 A* conf
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning.
IJCAI
Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang
2022 J jnl
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning.
CoRR
Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang