| A comprehensive survey of ai-generated content (aigc): A history of generative ai from gan to chatgpt Y Cao, S Li, Y Liu, Z Yan, Y Dai, PS Yu, L Sun arXiv preprint arXiv:2303.04226, 2023 | 491 | 2023 |
| A comprehensive survey on pretrained foundation models: A history from bert to chatgpt C Zhou, Q Li, C Li, J Yu, Y Liu, G Wang, K Zhang, C Ji, Q Yan, L He, ... arXiv preprint arXiv:2302.09419, 2023 | 395 | 2023 |
| Trustllm: Trustworthiness in large language models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 92 | 2024 |
| BiomedGPT: a unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks K Zhang, J Yu, Z Yan, Y Liu, E Adhikarla, S Fu, X Chen, C Chen, Y Zhou, ... arXiv preprint arXiv:2305.17100, 2023 | 61 | 2023 |
| Sora: A review on background, technology, limitations, and opportunities of large vision models Y Liu, K Zhang, Y Li, Z Yan, C Gao, R Chen, Z Yuan, Y Huang, H Sun, ... arXiv preprint arXiv:2402.17177, 2024 | 58 | 2024 |
| Badgpt: Exploring security vulnerabilities of chatgpt via backdoor attacks to instructgpt J Shi, Y Liu, P Zhou, L Sun arXiv preprint arXiv:2304.12298, 2023 | 51 | 2023 |
| Metatool benchmark for large language models: Deciding whether to use tools and which to use Y Huang, J Shi, Y Li, C Fan, S Wu, Q Zhang, Y Liu, P Zhou, Y Wan, ... ICLR 2024, 2023 | 26 | 2023 |
| Conditional automated channel pruning for deep neural networks Y Liu, Y Guo, J Guo, L Jiang, J Chen IEEE Signal Processing Letters 28, 1275-1279, 2021 | 16 | 2021 |
| Jailbreaking gpt-4v via self-adversarial attacks with system prompts Y Wu, X Li, Y Liu, P Zhou, L Sun arXiv preprint arXiv:2311.09127, 2023 | 15 | 2023 |
| Seat: stable and explainable attention L Hu, Y Liu, N Liu, M Huai, L Sun, D Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12907 …, 2023 | 10 | 2023 |
| Backdoor attacks to pre-trained unified foundation models Z Yuan, Y Liu, K Zhang, P Zhou, L Sun arXiv preprint arXiv:2302.09360, 2023 | 8 | 2023 |
| Improving Faithfulness for Vision Transformers L Hu, Y Liu, N Liu, M Huai, L Sun, D Wang ICML 24, 2023 | 5 | 2023 |
| MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning Y Liu, C Fan, Y Dai, X Chen, P Zhou, L Sun CVPR'24 Oral, 2023 | 5* | 2023 |
| Watermarking text data on large language models for dataset copyright protection Y Liu, H Hu, X Zhang, L Sun arXiv preprint arXiv:2305.13257, 2023 | 5 | 2023 |
| Priority prediction of Asian Hornet sighting report using machine learning methods Y Liu, J Guo, J Dong, L Jiang, H Ouyang 2021 IEEE International Conference on Software Engineering and Artificial …, 2021 | 5 | 2021 |
| GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation Y Liu, C Fan, X Chen, P Zhou, L Sun arXiv preprint arXiv:2310.07100, 2023 | 4 | 2023 |
| Unlearnable graph: Protecting graphs from unauthorized exploitation Y Liu, C Fan, P Zhou, L Sun arXiv preprint arXiv:2303.02568, 2023 | 3 | 2023 |
| Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation Y Liu, H Ye, K Zhang, L Sun arXiv preprint arXiv:2303.02559, 2023 | 2 | 2023 |
| Investigating and Defending Shortcut Learning in Personalized Diffusion Models Y Liu, R Chen, L Sun arXiv preprint arXiv:2406.18944, 2024 | | 2024 |
| Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras J Yu, Y Dai, X Liu, J Huang, Y Shen, K Zhang, R Zhou, E Adhikarla, W Ye, ... arXiv preprint arXiv:2404.18961, 2024 | | 2024 |
Lichao "James" SunAssistant Professor of Computer Science, Lehigh University在 lehigh.edu 的电子邮件经过验证
