One-Shot Learning for Function-Specific Region Segmentation in Mouse Brain. - Xu Zhang 022; Zhuowei Li 002; Pei-Jie Wang; Katelyn Y. Liao; Shen-Ju Chou; Shih-Fu Chang; Jung-Chi Liao (ISBI, 2019)

Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation. - Zhuowei Li 002; Qing Xia 002; Wenji Wang; Zhennan Yan; Ruohan Yin; Changjie Pan; Dimitris N. Metaxas (MLMI@MICCAI, 2020)

A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline Extraction. - Zhuowei Li 002; Qing Xia 002; Zhiqiang Hu; Wenji Wang; Lijian Xu; Shaoting Zhang 001 (MICCAI (5), 2021)

Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Jinxi Xiang; Zhuowei Li 002; Wenji Wang; Qing Xia 002; Shaoting Zhang 001 (CoRR, 2021)

Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. - Wenji Wang; Qing Xia 002; Zhiqiang Hu; Zhennan Yan; Zhuowei Li 002; Yang Wu; Ning Huang; Yue Gao 002; Dimitris N. Metaxas; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2021)

Towards Self-Supervised and Weight-preserving Neural Architecture Search. - Zhuowei Li 002; Yibo Gao; Zhenzhou Zha; Zhiqiang Hu; Qing Xia 002; Shaoting Zhang 001; Dimitris N. Metaxas (ECCV Workshops (4), 2022)

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. - Zhuowei Li 002; Zihao Liu; Zhiqiang Hu; Qing Xia 002; Ruiqin Xiong; Shaoting Zhang 001; Dimitris N. Metaxas; Tingting Jiang 001 (CoRR, 2022)

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. - Zihao Liu; Zhuowei Li 002; Zhiqiang Hu; Qing Xia 002; Ruiqin Xiong; Shaoting Zhang 001; Tingting Jiang 001 (IEEE Trans. Medical Imaging, 2022)

DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. - Di Liu 003; Xiang Yu 002; Meng Ye 003; Qilong Zhangli; Zhuowei Li 002; Zhixing Zhang; Dimitris N. Metaxas (ICCV, 2023)

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (CoRR, 2023)

Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning. - Yunhe Gao; Zhuowei Li 002; Di Liu 003; Mu Zhou; Shaoting Zhang 001; Dimitris N. Metaxas (CoRR, 2023)

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. - Zhuowei Li 002; Long Zhao 003; Zizhao Zhang; Han Zhang 010; Di Liu 003; Ting Liu 005; Dimitris N. Metaxas (WACV, 2024)

Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing. - Zhuowei Li 002; Tianchen Zhao; Xiang Xu; Zheng Zhang; Zhihua Li; Xuanbai Chen; Qin Zhang; Alessandro Bergamo; Anil K. Jain 001; Yifan Xing (CVPR, 2025)

Show and Segment: Universal Medical Image Segmentation via In-Context Learning. - Yunhe Gao; Di Liu 003; Zhuowei Li 002; Yunsheng Li; Dongdong Chen; Mu Zhou; Dimitris N. Metaxas (CVPR, 2025)

MLLM-as-a-Judge for Image Safety without Human Labeling. - Zhenting Wang; Shuming Hu; Shiyu Zhao; Xiaowen Lin; Felix Juefei-Xu; Zhuowei Li 002; Ligong Han; Harihar Subramanyam; Li Chen; Jianfa Chen; Nan Jiang; Lingjuan Lyu; et al. (CVPR, 2025)

Implicit In-context Learning. - Zhuowei Li 002; Zihao Xu 001; Ligong Han; Yunhe Gao; Song Wen 001; Di Liu 003; Hao Wang 014; Dimitris N. Metaxas (ICLR, 2025)

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering. - Zhuowei Li 002; Haizhou Shi; Yunhe Gao; Di Liu 003; Zhenting Wang; Yuxiao Chen 002; Ting Liu 005; Long Zhao 003; Hao Wang 014; Dimitris N. Metaxas (CoRR, 2025)

Token-Level Uncertainty Estimation for Large Language Model Reasoning. - Tunyu Zhang; Haizhou Shi; Yibin Wang 005; Hengyi Wang; Xiaoxiao He; Zhuowei Li 002; Haoxian Chen 005; Ligong Han; Kai Xu; Huan Zhang; Dimitris N. Metaxas; Hao Wang 014 (CoRR, 2025)

Visual Sparse Steering: Improving Zero-shot Image Classification with Sparsity Guided Steering Vectors. - Gerasimos Chatzoudis; Zhuowei Li 002; Gemma E. Moran; Hao Wang 014; Dimitris N. Metaxas (CoRR, 2025)