Shawn Li

According to our database, Shawn Li authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FORTIS: Benchmarking Over-Privilege in Agent Skills.

Shawn Li, Chenxiao Yu, Han Wang, Wei Yang, Ryan Rossi, Franck Dernoncourt, Xiyang Hu, Philip S. Yu, Chaowei Xiao, Huan Zhang, Yue Zhao

CoRR, May, 2026

Geometry over Density: Few-Shot Cross-Domain OOD Detection.

Shawn Li, You Qin, Jiate Li, Charith Peris, Lisa Bauer, Roger Zimmermann, Yue Zhao

CoRR, May, 2026

The Autonomy Tax: Defense Training Breaks LLM Agents.

Shawn Li, Yue Zhao

CoRR, March, 2026

Defenses Against Prompt Attacks Learn Surface Heuristics.

Shawn Li, Chenxiao Yu, Zhiyu Ni, Hao Li, Charith Peris, Chaowei Xiao, Yue Zhao

CoRR, January, 2026

2025

BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models.

Shengao Wang, Wenqi Wang, Zecheng Wang, Max Whitton, Michael Wakeham, Arjun Chandra, Joey Huang, Pengyue Zhu, Helen Chen, David Li, Jeffrey Li, Shawn Li, Andrew Zagula, Amy Zhao, Andrew Zhu, Sayaka Nakamura, Yuki Yamamoto, Jerry Jun Yokono, Aaron Mueller, Bryan A. Plummer, Kate Saenko, Venkatesh Saligrama, Boqing Gong

CoRR, December, 2025

Charts Are Not Images: On the Challenges of Scientific Chart Editing.

Shawn Li, Ryan A. Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao

CoRR, December, 2025

Mitigating Hallucinations in Large Language Models via Causal Reasoning.

Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao

CoRR, August, 2025

Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning.

Yuehan Qin, Shawn Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma

CoRR, April, 2025

DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning.

Chengxuan Qian, Shuo Xing, Shawn Li, Yue Zhao, Zhengzhong Tu

CoRR, March, 2025

Treble Counterfactual VLMs: A Causal Approach to Hallucination.

Shawn Li, Jiashu Qu, Yuxiao Zhou, Yuehan Qin, Tiankai Yang, Yue Zhao

CoRR, March, 2025

PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection.

Sihan Chen, Zhuangzhuang Qian, Wingchun Siu, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Tiankai Yang, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, Yue Zhao

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Secure On-Device Video OOD Detection without Backpropagation.

Shawn Li, Peilin Cai, Yuxiao Zhou, Zhiyu Ni, Renjie Liang, You Qin, Yi Nian, Zhengzhong Tu, Xiyang Hu, Yue Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection.

Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

Tiankai Yang, Yi Nian, Shawn Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xiaohu You, Yue Zhao

CoRR, 2024

2023

An end-to-end multi-task system of automatic lesion detection and anatomical localization in whole-body bone scintigraphy by deep learning.

Kaibin Huang, Shengyun Huang, Guojing Chen, Xue Li, Shawn Li, Ying Liang, Yi Gao

Bioinform., January, 2023

2020

Joint SoC and SoH Estimation for Zinc-Nickel Single-Flow Batteries.

Shawn Li, Kang Li, Evan Xiao, Chi-Kong Wong

IEEE Trans. Ind. Electron., 2020