Lin Li - RankMe

20 papers A* 3Journal 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MEDSYN: Benchmarking Multi-EviDence SYNthesis in Complex Clinical Cases for Multimodal Large Language Models. CoRR Boqi Chen, Xudong Liu, Jiachuan Peng, Marianne Frey-Marti, Bang Zheng, Kyle Lam, Lin Li, Jianing Qiu
2025	J	`jnl`	AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation. Int. J. Comput. Vis. Lin Li, Jianing Qiu, Michael W. Spratling
2025	J	`jnl`	Advancing robots with greater dynamic dexterity: A large-scale multi-view and multi-modal dataset of human-human throw&catch of arbitrary objects. Int. J. Robotics Res. Lipeng Chen, Jianing Qiu, Lin Li, Xi Luo, Guoyi Chi, Yu Zheng
2025	J	`jnl`	Emerging Cyber Attack Risks of Medical AI Agents. CoRR Jianing Qiu, Lin Li, Jiankai Sun, Hao Wei, Zhe Xu, Kyle Lam, Wu Yuan
2025	J	`jnl`	Robust shortcut and disordered robustness: Improving adversarial training through adaptive smoothing. Pattern Recognit. Lin Li, Michael W. Spratling
2025	J	`jnl`	Towards Robust Protective Perturbation against DeepFake Face Swapping. CoRR Hengyang Yao, Lin Li, Ke Sun, Jianing Qiu, Huiping Chen
2024	J	`jnl`	Artificial Intelligence for Biomedical Video Generation. CoRR Linyuan Li, Jianing Qiu, Anujit Saha, Lin Li, Poyuan Li, Mengxian He, Ziyu Guo, Wu Yuan
2024	A*	`conf`	OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML Lin Li, Yifei Wang, Chawin Sitawarin, Michael W. Spratling
2024	A*	`conf`	One Prompt Word is Enough to Boost Adversarial Robustness for Pre-Trained Vision-Language Models. CVPR Lin Li, Haoyan Guan, Jianing Qiu, Michael W. Spratling
2024	J	`jnl`	One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models. CoRR Lin Li, Haoyan Guan, Jianing Qiu, Michael W. Spratling
2023	J	`jnl`	AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation. CoRR Lin Li, Jianing Qiu, Michael W. Spratling
2023	J	`jnl`	Data Augmentation Alone Can Improve Adversarial Training. CoRR Lin Li, Michael W. Spratling
2023	A*	`conf`	Data augmentation alone can improve adversarial training. ICLR Lin Li, Michael W. Spratling
2023	J	`jnl`	Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing. CoRR Lin Li, Michael W. Spratling
2023	J	`jnl`	Large AI Models in Health Informatics: Applications, Challenges, and the Future. CoRR Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Dong Xu, Benny Lo
2023	J	`jnl`	Large AI Models in Health Informatics: Applications, Challenges, and the Future. IEEE J. Biomed. Health Informatics Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Ningli Wang, Dong Xu, Benny P. L. Lo
2023	J	`jnl`	OODRobustBench: benchmarking and analyzing adversarial robustness under distribution shift. CoRR Lin Li, Yifei Wang, Chawin Sitawarin, Michael W. Spratling
2023	J	`jnl`	Understanding and combating robust overfitting via input loss landscape analysis and regularization. Pattern Recognit. Lin Li, Michael W. Spratling
2023	J	`jnl`	VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence. CoRR Jianing Qiu, Jian Wu, Hao Wei, Peilun Shi, Minqing Zhang, Yunyun Sun, Lin Li, Hanruo Liu, Hongyi Liu, Simeng Hou, Yuyang Zhao, Xuehui Shi, Junfang Xian, Xiaoxia Qu, Sirui Zhu, Lijie Pan, Xiaoniao Chen, Xiaojia Zhang, Shuai Jiang, Kebing Wang, Chenlong Yang, Mingqiang Chen, Sujie Fan, Jianhua Hu, Aiguo Lv, Hui Miao, Li Guo, Shujun Zhang, Cheng Pei, Xiaojuan Fan, Jianqin Lei, Ting Wei, Junguo Duan, Chun Liu, Xiaobo Xia, Siqi Xiong, Junhong Li, Benny Lo, Yih Chung Tham, Tien Yin Wong, Ningli Wang, Wu Yuan
2022	J	`jnl`	Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization. CoRR Lin Li, Michael W. Spratling