| Counterfactual learning on graphs: A survey Z Guo, Z Wu, T Xiao, C Aggarwal, H Liu, S Wang Machine Intelligence Research 22 (1), 17-59, 2025 | 19 | 2025 |
| Universal prompt optimizer for safe text-to-image generation Z Wu, H Gao, Y Wang, X Zhang, S Wang NAACL 2024, 2024 | 12 | 2024 |
| A comprehensive survey of small language models in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness F Wang, Z Zhang, X Zhang, Z Wu, T Mo, Q Lu, W Wang, R Li, J Xu, X Tang, ... arXiv preprint arXiv:2411.03350, 2024 | 7 | 2024 |
| Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks Z Zhang, M Lin, J Xu, Z Wu, E Dai, S Wang ICLR 2025, 2024 | 7 | 2024 |
| LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning J Xu, Z Wu, M Lin, X Zhang, S Wang arXiv preprint arXiv:2406.01032, 2024 | 7 | 2024 |
| Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge Z Zhang, F Wang, X Li, Z Wu, X Tang, H Liu, Q He, W Yin, S Wang ICLR 2025, 2024 | 3 | 2024 |
| Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation M Lin, Z Chen, Y Liu, X Zhao, Z Wu, J Wang, X Zhang, S Wang, H Chen arXiv preprint arXiv:2410.17462, 2024 | 1 | 2024 |
| Trojan Prompt Attacks on Graph Neural Networks M Lin, Z Zhang, E Dai, Z Wu, Y Wang, X Zhang, S Wang arXiv preprint arXiv:2410.13974, 2024 | 1 | 2024 |
| BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection Y Niu, S He, Q Wei, Z Wu, F Liu, L Feng arXiv preprint arXiv:2405.15269, 2024 | 1 | 2024 |
| Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning J Pan, H Gao, Z Wu, L Su, Q Huang, L Li The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 1 | 2024 |
| Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions X Zhang, X Tang, H Liu, Z Wu, Q He, D Lee, S Wang arXiv preprint arXiv:2410.12207, 2024 | | 2024 |
| AmGNN: A Framework for Adaptive Processing of Inter-layer Information in Multi-layer Graph H Zhu, Z Wu, T Zhao, S Wang International Conference on Advances in Social Networks Analysis and Mining …, 2024 | | 2024 |
Suhang WangPennsylvania State UniversityCorreu electrònic verificat a psu.edu