Zongyu Wu

According to our database, Zongyu Wu authored at least 19 papers between 2024 and 2025.

Collaborative distances:

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

2025

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

CoRR, June, 2025

GPR: Empowering Generation with Graph-Pretrained Retriever.

Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma

CoRR, June, 2025

Counterfactual Learning on Graphs: A Survey.

Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang

Mach. Intell. Res., February, 2025

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

CoRR, February, 2025

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs.

Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

SmGNN: Link Prediction in Sparse Layers of Multi-layer Graphs.

Huaisheng Zhu, Tianxiang Zhao, Zongyu Wu, Suhang Wang

Proceedings of the 17th ACM Web Science Conference 2025, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Robustness Inspired Graph Backdoor Defense.

Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?

Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

CoRR, 2024

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

CoRR, 2024

Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge.

Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang

CoRR, 2024

Trojan Prompt Attacks on Graph Neural Networks.

Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang

CoRR, 2024

Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions.

Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang

CoRR, 2024

Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks.

Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang

CoRR, 2024

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning.

Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang

CoRR, 2024

Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning.

Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Universal Prompt Optimizer for Safe Text-to-Image Generation.

Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AmGNN: A Framework for Adaptive Processing of Inter-layer Information in Multi-layer Graph.

Huaisheng Zhu, Zongyu Wu, Tianxiang Zhao, Suhang Wang

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024