Yun Zhu

According to our database, Yun Zhu authored at least 33 papers between 2022 and 2026.

Collaborative distances:

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

2026

MAIGO: Mitigating Lost-in-Conversation with History-Cleaned On-Policy Self-Distillation.

Haoyu Zheng, Yun Zhu, Shu Yuan, Shangming Chen, Qing Wang, Wenqiao Zhang, Jun Xiao, Yueting Zhuang

CoRR, May, 2026

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning.

Juekai Lin, Yun Zhu, Honglin Lin, Sijing Li, Tianwei Lin, Zheng Liu, Xiaoyang Wang, Wenqiao Zhang, Lijun Wu

CoRR, April, 2026

Graph Retrieval-Augmented Generation: A Survey.

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

ACM Trans. Inf. Syst., February, 2026

MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods.

Honglin Lin, Zheng Liu, Yun Zhu, Chonghan Qin, Juekai Lin, Xiaoran Shang, Conghui He, Wentao Zhang, Lijun Wu

CoRR, January, 2026

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch.

Zheng Liu, Honglin Lin, Chonghan Qin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Bin Cui, Conghui He, Wentao Zhang, Lijun Wu

CoRR, January, 2026

Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets.

Xin Gao, Xiaoyang Wang, Yun Zhu, Mengzhang Cai, Conghui He, Lijun Wu

CoRR, January, 2026

PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models.

Haoyu Zheng, Yun Zhu, Yuqian Yuan, Bo Yuan, Wenqiao Zhang, Siliang Tang, Jun Xiao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph Retrieval.

Boci Peng, Xiao Liu, Boren Hu, Yun Zhu, Xuanbo Fan, Yanwei Yue, Chunyu Yang, Yan Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch.

Zheng Liu, Honglin Lin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Conghui He, Bin Cui, Wentao Zhang, Lijun Wu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs.

Yu Li, Xiaoran Shang, Qizhi Pei, Yun Zhu, Xin Gao, Honglin Lin, Zhanping Zhong, Zhuoshi Pan, Zheng Liu, Xiaoyang Wang, Conghui He, Dahua Lin, Feng Zhao, Lijun Wu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value.

Mengzhang Cai, Xin Gao, Yu Li, Honglin Lin, Zheng Liu, Zhuoshi Pan, Qizhi Pei, Xiaoran Shang, Mengyuan Sun, Zinan Tang, Xiaoyang Wang, Zhanping Zhong, Yun Zhu, Dahua Lin, Conghui He, Lijun Wu

CoRR, December, 2025

WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing.

Kaihang Pan, Weile Chen, Haiyi Qiu, Qifan Yu, Wendong Bu, Zehan Wang, Yun Zhu, Juncheng Li, Siliang Tang

CoRR, December, 2025

Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving.

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

CoRR, November, 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

Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics.

Xiaotang Wang, Xuanwei Lin, Yun Zhu, Hao Li, Yongqi Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 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 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, 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