Zongyu Wu

I am a second-year Ph.D. student in the College of Information Sciences and Technology at The Pennsylvania State University. I am co-advised by Prof. Suhang Wang and Prof. Xiang Zhang. My recent research interests lie in large language models and multimodal learning.

Email  /  Google Scholar  

News

  • [05/2025] One paper was accepted to ACL Findings 2025.
  • [05/2025] One paper was accepted to KDD 2025.
  • [05/2025] One paper was accepted by ICML 2025.
  • [01/2025] Two papers were accepted by ICLR 2025 (One Oral).
  • [11/2024] Check out our survey about small language models in the era of large language models.
  • [10/2024] One paper was accepted by WSDM 2025 (Oral).
  • [03/2024] One paper was accepted by NAACL 2024.

Selected Publications / Preprints

(* indicates equal contribution). Please see my google scholar for an up-to-date list.

Preprint
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
arXiv'2506.12340
GPR: Empowering Generation with Graph-Pretrained Retriever
Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
arXiv'2506.00261
LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
Zongyu Wu*, Yuwei Niu*, Hongcheng Gao, Minhua Lin, Zhiwei Zhang, Zhifang Zhang, Qi Shi, Yilong Wang, Sike Fu, Junjie Xu, Junjie Ao, Enyan Dai, Lei Feng, Xiang Zhang, Suhang Wang
arXiv'2502.12359 (Tech Report)
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
arXiv'2411.03350
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
arXiv'2410.17462
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang
arXiv'2406.01032

Conference Papers
Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
In Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (Findings of ACL), 2025
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
Minhua Lin*, Zhiwei Zhang*, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
In Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
Test-Time Multimodal Backdoor Detection by Contrastive Prompting
Yuwei Niu*, Shuo He*, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng
In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025
Robustness Inspired Graph Backdoor Defense
Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
In Proceedings of the 13th International Conference on Learning Representations (ICLR, Oral), 2025
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
In Proceedings of the 13th International Conference on Learning Representations (ICLR), 2025
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang
In Proceedings of the 18th ACM International Conference on Web Search and Data Mining (WSDM, Oral), 2025
Universal Prompt Optimizer for Safe Text-to-Image Generation
Zongyu Wu*, Hongcheng Gao*, Yueze Wang, Xiang Zhang, Suhang Wang
In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024

Selected Academic Services

Conference Program Committee/Reviewer

NeurIPS (2024, 2025), ICLR (2025), ICML (2025), KDD (2025), CVPR (2025), AISTATS (2025), CIKM (2024, 2025)

Journal Reviewer

ACM TKDD, IEEE TKDE, TNNLS, TIST, TMLR

Teaching Experience

  • Teaching Assistant, DS 220: Data Management for Data Sciences
    Instructor: Dr. Xiang Zhang, The Pennsylvania State University, Spring 2025

  • Teaching Assistant, DS 220: Data Management for Data Sciences
    Instructor: Dr. Xiang Zhang, The Pennsylvania State University, Fall 2024

Website template from Jon Barron. Thanks for the fantastic template!
Last update: June 2025.