Yixin Liu - RankMe

47 papers A* 8Journal 37Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models. CoRR Rong Zhou, Dongping Chen, Zihan Jia, Yao Su, Yixin Liu, Yiwen Lu, Dongwei Shi, Yue Huang, Tianyang Xu, Yi Pan, Xinliang Li, Yohannes Abate, Qingyu Chen, Zhengzhong Tu, Yu Yang, Yu Zhang, Qingsong Wen, Gengchen Mai, Sunyang Fu, Jiachen Li, Xuyu Wang, Ziran Wang, Jing Huang, Tianming Liu, Yong Chen, Lichao Sun, Lifang He
2026	J	`jnl`	Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing. CoRR Hanchi Sun, Yixin Liu, Yonghui Wu, Lichao Sun
2026	J	`jnl`	RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty. CoRR Ziqian Zhang, Xingjian Hu, Yue Huang, Kai Zhang, Ruoxi Chen, Yixin Liu, Qingsong Wen, Kaidi Xu, Xiangliang Zhang, Neil Zhenqiang Gong, Lichao Sun
2026	—	`conf`	Rethinking and Red-Teaming Protective Perturbation in Personalized Diffusion Models. KDD (1) Yixin Liu, Ruoxi Chen, Xun Chen, Lichao Sun
2026	A*	`conf`	Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions. AAAI Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun
2025	J	`jnl`	A Survey of AI-Generated Content (AIGC). ACM Comput. Surv. Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
2025	J	`jnl`	A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT. Int. J. Mach. Learn. Cybern. Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
2025	J	`jnl`	Agentic AutoSurvey: Let LLMs Survey LLMs. CoRR Yixin Liu, Yonghui Wu, Denghui Zhang, Lichao Sun
2025	J	`jnl`	Could AI Trace and Explain the Origins of AI-Generated Images and Text? CoRR Hongchao Fang, Yixin Liu, Jiangshu Du, Can Qin, Ran Xu, Feng Liu, Lichao Sun, Dongwon Lee, Lifu Huang, Wenpeng Yin
2025	J	`jnl`	Diffusion Models for Low-Light Image Enhancement: A Multi-Perspective Taxonomy and Performance Analysis. CoRR Eashan Adhikarla, Yixin Liu, Brian D. Davison
2025	J	`jnl`	EfficientLLM: Efficiency in Large Language Models. CoRR Zhengqing Yuan, Weixiang Sun, Yixin Liu, Huichi Zhou, Rong Zhou, Yiyang Li, Zheyuan Zhang, Wei Song, Yue Huang, Haolong Jia, Keerthiram Murugesan, Yu Wang, Lifang He, Jianfeng Gao, Lichao Sun, Yanfang Ye
2025	J	`jnl`	NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes. CoRR Tianyang Xu, Haojie Zheng, Chengze li, Haoxiang Chen, Yixin Liu, Ruoxi Chen, Lichao Sun
2025	J	`jnl`	Towards Stable and Explainable Attention Mechanisms. IEEE Trans. Knowl. Data Eng. Lijie Hu, Xinhai Wang, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2025	A*	`conf`	XAttnMark: Learning Robust Audio Watermarking with Cross-Attention. ICML Yixin Liu, Lie Lu, Jihui Jin, Lichao Sun, Andrea Fanelli
2025	J	`jnl`	XAttnMark: Learning Robust Audio Watermarking with Cross-Attention. CoRR Yixin Liu, Lie Lu, Jihui Jin, Lichao Sun, Andrea Fanelli
2024	J	`jnl`	Can Large Language Models Automatically Jailbreak GPT-4V? CoRR Yuanwei Wu, Yue Huang, Yixin Liu, Xiang Li, Pan Zhou, Limin Sun
2024	—	`conf`	EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models. ECCV (63) Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang, Lichao Sun
2024	J	`jnl`	Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective. CoRR Yixin Liu, Arielle Carr, Lichao Sun
2024	A*	`conf`	Improving Interpretation Faithfulness for Vision Transformers. ICML Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2024	J	`jnl`	Investigating and Defending Shortcut Learning in Personalized Diffusion Models. CoRR Yixin Liu, Ruoxi Chen, Lichao Sun
2024	J	`jnl`	Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking. CoRR Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun
2024	A*	`conf`	MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning. CVPR Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
2024	A*	`conf`	MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. ICLR Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2024	A*	`conf`	Position: TrustLLM: Trustworthiness in Large Language Models. ICML Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024	J	`jnl`	Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. CoRR Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun
2024	A*	`conf`	Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. AAAI Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun
2024	J	`jnl`	TrustLLM: Trustworthiness in Large Language Models. CoRR Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2024	J	`jnl`	Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. CoRR Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
2023	J	`jnl`	A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. CoRR Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
2023	J	`jnl`	A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
2023	J	`jnl`	Backdoor Attacks to Pre-trained Unified Foundation Models. CoRR Zenghui Yuan, Yixin Liu, Kai Zhang, Pan Zhou, Lichao Sun
2023	J	`jnl`	BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT. CoRR Jiawen Shi, Yixin Liu, Pan Zhou, Lichao Sun
2023	J	`jnl`	BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun
2023	J	`jnl`	GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation. CoRR Yixin Liu, Chenrui Fan, Xun Chen, Pan Zhou, Lichao Sun
2023	J	`jnl`	Improving Faithfulness for Vision Transformers. CoRR Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2023	J	`jnl`	Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts. CoRR Yuanwei Wu, Xiang Li, Yixin Liu, Pan Zhou, Lichao Sun
2023	J	`jnl`	MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. CoRR Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2023	A*	`conf`	SEAT: Stable and Explainable Attention. AAAI Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2023	J	`jnl`	Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation. CoRR Yixin Liu, Haohui Ye, Kai Zhang, Lichao Sun
2023	J	`jnl`	Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. CoRR Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun
2023	J	`jnl`	Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. CoRR Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
2023	J	`jnl`	Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation. CoRR Yixin Liu, Chenrui Fan, Pan Zhou, Lichao Sun
2023	J	`jnl`	Watermarking Text Data on Large Language Models for Dataset Copyright Protection. CoRR Yixin Liu, Hongsheng Hu, Xuyun Zhang, Lichao Sun
2022	J	`jnl`	SEAT: Stable and Explainable Attention. CoRR Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2021	J	`jnl`	Conditional Automated Channel Pruning for Deep Neural Networks. IEEE Signal Process. Lett. Yixin Liu, Yong Guo, Jiaxin Guo, Luoqian Jiang, Jian Chen
2021	J	`jnl`	Priority prediction of Asian Hornet sighting report using machine learning methods. CoRR Yixin Liu, Jiaxin Guo, Jieyang Dong, Luoqian Jiang, Haoyuan Ouyang
2020	J	`jnl`	Conditional Automated Channel Pruning for Deep Neural Networks. CoRR Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen