| The good and the bad: Exploring privacy issues in retrieval-augmented generation (rag) S Zeng, J Zhang, P He, Y Xing, Y Liu, H Xu, J Ren, S Wang, D Yin, ... ACL 2024, 2024 | 64 | 2024 |
| Diffusionshield: A watermark for copyright protection against generative diffusion models Y Cui, J Ren, H Xu, P He, H Liu, L Sun, Y Xing, J Tang arXiv preprint arXiv:2306.04642, 2023 | 64 | 2023 |
| Copyright protection in generative ai: A technical perspective J Ren, H Xu, P He, Y Cui, S Zeng, J Zhang, H Wen, J Ding, P Huang, ... arXiv preprint arXiv:2402.02333, 2024 | 40 | 2024 |
| Exploring memorization in fine-tuned language models S Zeng, Y Li, J Ren, Y Liu, H Xu, P He, Y Xing, S Wang, J Tang, D Yin ACL 2024, 2023 | 22 | 2023 |
| Ft-shield: A watermark against unauthorized fine-tuning in text-to-image diffusion models Y Cui, J Ren, Y Lin, H Xu, P He, Y Xing, L Lyu, W Fan, H Liu, J Tang ACM SIGKDD Explorations Newsletter 26 (2), 76-88, 2025 | 16 | 2025 |
| Superiority of multi-head attention in in-context linear regression Y Cui, J Ren, P He, J Tang, Y Xing AISTATS 2025, 2025 | 15 | 2025 |
| Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis P He, Y Lin, H Xu, Y Xing, M Yamada, H Liu, J Tang EMNLP 2024, 2024 | 14 | 2024 |
| Probabilistic categorical adversarial attack and adversarial training H Xu, P He, J Ren, Y Wan, Z Liu, H Liu, J Tang International Conference on Machine Learning(ICML 2023), 38428-38442, 2023 | 14 | 2023 |
| On the generalization of training-based chatgpt detection methods H Xu, J Ren, P He, S Zeng, Y Cui, A Liu, H Liu, J Tang EMNLP 2024, 2023 | 13 | 2023 |
| Mitigating the privacy issues in retrieval-augmented generation (rag) via pure synthetic data S Zeng, J Zhang, P He, J Ren, T Zheng, H Lu, H Xu, H Liu, Y Xing, J Tang arXiv preprint arXiv:2406.14773, 2024 | 11 | 2024 |
| Large sample spectral analysis of graph-based multi-manifold clustering P He, NG Trillos, C Li Journal of Machine Learning Research (JMLR) 24 (143), 1-71, 2023 | 11* | 2023 |
| Sharpness-Aware Data Poisoning Attack P He, H Xu, J Ren, Y Cui, H Liu, CC Aggarwal, J Tang ICLR 2024, Spotlight, 2023 | 10 | 2023 |
| Data Poisoning for In-context Learning P He, H Xu, Y Xing, H Liu, M Yamada, J Tang NAACL 2025, 2025 | 9 | 2025 |
| A theoretical understanding of chain-of-thought: Coherent reasoning and error-aware demonstration Y Cui, P He, X Tang, Q He, C Luo, J Tang, Y Xing AISTATS 2025, 2025 | 5 | 2025 |
| PROPN: Personalized probabilistic strategic parameter optimization in recommendations P He, H Liu, X Zhao, H Liu, J Tang Proceedings of the 31st ACM International Conference on Information …, 2022 | 5 | 2022 |
| Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning P He, Z Li, Y Xing, Y Li, J Tang, B Ding arXiv preprint arXiv:2410.19000, 2024 | 3 | 2024 |
| DiffusionShield: A watermark for data copyright protection against generative diffusion models Y Cui, J Ren, H Xu, P He, H Liu, L Sun, Y Xing, J Tang ACM SIGKDD Explorations Newsletter 26 (2), 60-75, 2025 | 2 | 2025 |
| Red-Teaming LLM Multi-Agent Systems via Communication Attacks P He, Y Lin, S Dong, H Xu, Y Xing, H Liu arXiv preprint arXiv:2502.14847, 2025 | 1 | 2025 |
| Stepwise perplexity-guided refinement for efficient chain-of-thought reasoning in large language models Y Cui, P He, J Zeng, H Liu, X Tang, Z Dai, Y Han, C Luo, J Huang, Z Li, ... arXiv preprint arXiv:2502.13260, 2025 | 1 | 2025 |
| Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study P He, Y Cui, H Xu, H Liu, M Yamada, J Tang, Y Xing M3L and SFLLM NeruIPS 2024, 2024 | 1 | 2024 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
