Conditional Automated Channel Pruning for Deep Neural Networks. - Yixin Liu 002; Yong Guo; Zichang Liu; Haohua Liu; Jingjie Zhang; Zejun Chen; Jing Liu 048; Jian Chen 011 (CoRR, 2020)

Priority prediction of Asian Hornet sighting report using machine learning methods. - Yixin Liu 002; Jiaxin Guo; Jieyang Dong; Luoqian Jiang; Haoyuan Ouyang (CoRR, 2021)

Conditional Automated Channel Pruning for Deep Neural Networks. - Yixin Liu 002; Yong Guo; Jiaxin Guo; Luoqian Jiang; Jian Chen 011 (IEEE Signal Process. Lett., 2021)

SEAT: Stable and Explainable Attention. - Lijie Hu; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (AAAI, 2023)

Backdoor Attacks to Pre-trained Unified Foundation Models. - Zenghui Yuan; Yixin Liu 002; Kai Zhang 039; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. - Ce Zhou; Qian Li 033; Chen Li 046; Jun Yu; Yixin Liu 002; Guangjing Wang 001; Kai Zhang 039; Cheng Ji 001; Qiben Yan; Lifang He 001; Hao Peng 001; Jianxin Li 002; et al. (CoRR, 2023)

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation. - Yixin Liu 002; Haohui Ye; Kai Zhang 039; Lichao Sun 001 (CoRR, 2023)

Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation. - Yixin Liu 002; Chenrui Fan; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. - Yihan Cao; Siyu Li; Yixin Liu 002; Zhiling Yan; Yutong Dai 002; Philip S. Yu; Lichao Sun 001 (CoRR, 2023)

BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT. - Jiawen Shi; Yixin Liu 002; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

Watermarking Text Data on Large Language Models for Dataset Copyright Protection. - Yixin Liu 002; Hongsheng Hu; Xuyun Zhang; Lichao Sun 001 (CoRR, 2023)

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. - Kai Zhang 039; Jun Yu; Zhiling Yan; Yixin Liu 002; Eashan Adhikarla; Sunyang Fu; Xun Chen; Chen Chen 001; Yuyin Zhou; Xiang Li 001; Lifang He 001; Brian D. Davison 001; et al. (CoRR, 2023)

GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation. - Yixin Liu 002; Chenrui Fan; Xun Chen; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts. - Yuanwei Wu; Xiang Li 001; Yixin Liu 002; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. - Yixin Liu 002; Chenrui Fan; Yutong Dai 002; Xun Chen; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

Improving Faithfulness for Vision Transformers. - Lijie Hu; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (CoRR, 2023)

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. - Yixin Liu 002; Kaidi Xu; Xun Chen; Lichao Sun 001 (AAAI, 2024)

MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning. - Yixin Liu 002; Chenrui Fan; Yutong Dai 002; Xun Chen; Pan Zhou 001; Lichao Sun 001 (CVPR, 2024)

EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models. - Ruoxi Chen; Haibo Jin; Yixin Liu 002; Jinyin Chen; Haohan Wang; Lichao Sun 001 (ECCV (63), 2024)

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. - Yue Huang 001; Jiawen Shi; Yuan Li 032; Chenrui Fan; Siyuan Wu 001; Qihui Zhang; Yixin Liu 002; Pan Zhou 001; Yao Wan 001; Neil Zhenqiang Gong; Lichao Sun 001 (ICLR, 2024)

Improving Interpretation Faithfulness for Vision Transformers. - Lijie Hu; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (ICML, 2024)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (ICML, 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. - Yixin Liu 002; Kai Zhang 039; Yuan Li 032; Zhiling Yan; Chujie Gao; Ruoxi Chen; Zhengqing Yuan; Yue Huang 001; Hanchi Sun; Jianfeng Gao 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking. - Weixiang Sun; Yixin Liu 002; Zhiling Yan; Kaidi Xu; Lichao Sun 001 (CoRR, 2024)

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. - Jun Yu; Yutong Dai 002; Xiaokang Liu; Jin Huang; Yishan Shen; Ke Zhang; Rong Zhou; Eashan Adhikarla; Wenxuan Ye; Yixin Liu 002; Zhaoming Kong; Kai Zhang 039; et al. (CoRR, 2024)

Investigating and Defending Shortcut Learning in Personalized Diffusion Models. - Yixin Liu 002; Ruoxi Chen; Lichao Sun 001 (CoRR, 2024)

Can Large Language Models Automatically Jailbreak GPT-4V? - Yuanwei Wu; Yue Huang 001; Yixin Liu 002; Xiang Li 001; Pan Zhou 001; Limin Sun 001 (CoRR, 2024)

Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective. - Yixin Liu 002; Arielle Carr; Lichao Sun 001 (CoRR, 2024)

Could AI Trace and Explain the Origins of AI-Generated Images and Text? - Hongchao Fang; Yixin Liu 002; Jiangshu Du; Can Qin; Ran Xu 001; Feng Liu; Lichao Sun 001; Dongwon Lee; Lifu Huang; Wenpeng Yin 001 (CoRR, 2025)

NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes. - Tianyang Xu; Haojie Zheng; Chengze Li; Haoxiang Chen 010; Yixin Liu 002; Ruoxi Chen; Lichao Sun 001 (CoRR, 2025)

EfficientLLM: Efficiency in Large Language Models. - Zhengqing Yuan; Weixiang Sun; Yixin Liu 002; Huichi Zhou; Rong Zhou; Yiyang Li; Zheyuan Zhang; Wei Song; Yue Huang; Haolong Jia; Keerthiram Murugesan; Yu Wang; et al. (CoRR, 2025)

A Survey of AI-Generated Content (AIGC). - Yihan Cao; Siyu Li; Yixin Liu 002; Zhiling Yan; Yutong Dai 002; Philip S. Yu; Lichao Sun 001 (ACM Comput. Surv., 2025)

Towards Stable and Explainable Attention Mechanisms. - Lijie Hu; Xinhai Wang; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (IEEE Trans. Knowl. Data Eng., 2025)