| 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 | 820 | 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, ... International Journal of Machine Learning and Cybernetics, 1-65, 2024 | 605 | 2024 |
| Trustllm: Trustworthiness in large language models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 243 | 2024 |
| Review of 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 | 222 | 2024 |
| Biomedgpt: A unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks K Zhang, J Yu, E Adhikarla, R Zhou, Z Yan, Y Liu, Z Liu, L He, B Davison, ... arXiv e-prints, arXiv: 2305.17100, 2023 | 109 | 2023 |
| 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 | 71 | 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 | 64 | 2023 |
| A generalist vision–language foundation model for diverse biomedical tasks K Zhang, R Zhou, E Adhikarla, Z Yan, Y Liu, J Yu, Z Liu, X Chen, ... Nature Medicine, 1-13, 2024 | 60 | 2024 |
| Position: TrustLLM: Trustworthiness in large language models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning, 20166-20270, 2024 | 39 | 2024 |
| 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 | 22 | 2021 |
| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21* | 2023 |
| Mora: Enabling Generalist Video Generation via A Multi-Agent Framework LS Zhengqing Yuan, Yixin Liu, Yihan Cao, Weixiang Sun, Haolong Jia, Ruoxi ... arXiv preprint arXiv:2403.13248, 2024 | 19 | 2024 |
| 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 | 16 | 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 | 11 | 2023 |
| 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 | 10 | 2024 |
| EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models R Chen, H Jin, Y Liu, J Chen, L Sun ECCV'24, 2023 | 10 | 2023 |
| Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise Y Liu, K Xu, X Chen, L Sun Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3783-3791, 2024 | 8 | 2024 |
| Improving Faithfulness for Vision Transformers L Hu, Y Liu, N Liu, M Huai, L Sun, D Wang International Conference on Machine Learning 2024, 2023 | 7 | 2023 |
| Poster: Badgpt: Exploring security vulnerabilities of chatgpt via backdoor attacks to instructgpt J Shi, Y Liu, P Zhou, L Sun NDSS, 2023 | 7 | 2023 |
| Can Large Language Models Automatically Jailbreak GPT-4V? Y Wu, Y Huang, Y Liu, X Li, P Zhou, L Sun arXiv preprint arXiv:2407.16686, 2024 | 6 | 2024 |
Lichao "James" SunAssistant Professor of Computer Science, Lehigh UniversityAdresse e-mail validée de lehigh.edu