News
- [05/2025] One paper was accepted to ACL Findings 2025.
- [05/2025] One paper was accepted to KDD 2025.
- [05/2025] Start a new position as an Applied Scientist Intern at Amazon Web Services.
- [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).
- [09/2024] One paper was accepted by NeurIPS 2024 (Spotlight).
- [07/2024] Our survey about graph counterfactual learning is accepted by Machine Intelligence Research.
- [03/2024] One paper was accepted by NAACL 2024.
- [08/2023] Started my Ph.D. journey at Pennsylvania State University.
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Selected Publications / Preprints
(* indicates equal contribution). Please see my google scholar for an up-to-date list.
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Preprint
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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
[Paper]
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GPR: Empowering Generation with Graph-Pretrained Retriever
Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
arXiv'2506.00261
[Paper]
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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)
[Paper] [Code]
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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
[Paper] [Project Page]
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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
[Paper]
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LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang
arXiv'2406.01032
[Paper] [Code]
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Conference Papers
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Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
Accepted by 63rd Annual Meeting of the Association for Computational Linguistics (Findings of ACL), 2025
[Paper] [Code]
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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
Accepted by 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025
[Paper] [Code]
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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
[Paper] [Code]
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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
[Paper] [Code]
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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
[Paper] [Code]
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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
[Paper]
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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
[Paper] [Code]
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Other Projects
Awesome-Large-Search-Models A repo contains papers (blogs) and resources that design search-oriented large language models (large reasoning models).
CharmBench  A Challenging Reasoning and Multimodal Benchmark for Large Vision-Language Models.
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Selected Honors
Outstanding Graduate in Chongqing University
Outstanding Student in Chongqing University
First-class Scholarship in Chongqing University (Top 3%)
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Academic Service
Conference Program Committee/Reviewer
NeurIPS (2024, 2025), ICLR (2025), ICML (2025), KDD (2025), CVPR (2025), AISTATS (2025), AAAI (2025), LoG (2024), CIKM (2024, 2025), ECCV (2024)
Conference External Reviewer
SIGIR (2024), RecSys (2024), ICDM (2024), BigData (2024)
Journal Reviewer
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (TNNLS)
- ACM Transactions on Intelligent Systems and Technology (TIST)
- Transactions on Machine Learning Research (TMLR)
- Neurocomputing
- Neural Networks
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Teaching Experience
Teaching Assistant, DS 220: Data Management for Data Sciences Instructor: Dr. Xiang Zhang, The Pennsylvania State University, Fall 2025
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
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Website template from Jon Barron. Thanks for the fantastic template! Last update: June 2025.
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