A Study of Chinese Web Characteristics and Their Implications on Web Search. - Kin Fun Li; Louis Yu; Weibin Liao (IMSCCS (2), 2006)

Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet. - Yizhuan Jia; Weibin Liao; Yi Lv; Ziyu Su; Jiaqi Dou; Zhongwei Sun; Xuesong Li 003 (CADA@MICCAI, 2020)

3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge. - Ziyu Su; Yizhuan Jia; Weibin Liao; Yi Lv; Jiaqi Dou; Zhongwei Sun; Xuesong Li 003 (CADA@MICCAI, 2020)

MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. - Weibin Liao; Haoyi Xiong; Qingzhong Wang; Yan Mo; Xuhong Li 002; Yi Liu 040; Zeyu Chen; Siyu Huang; Dejing Dou (MICCAI (8), 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

MCRLe: Multi-Modal Contrastive Representation Learning For Stroke Onset Time Diagnosis. - Weibin Liao; Peirong Jiang; Yi Lv; Yunjing Xue; Zhensen Chen; Xuesong Li 003 (ISBI, 2023)

MFR-Net: Multi-Scale Feature Representation Module for 3D Cerebrovascular Segmentation. - Yi Lv; Weibin Liao; Zhensen Chen; Xuesong Li 003 (ISBI, 2023)

A Deep-Learning-Based Framework for Automatic Segmentation and Labelling of Intracranial Artery. - Yi Lv; Weibin Liao; Wenjin Liu; Zhensen Chen; Xuesong Li 003 (ISBI, 2023)

Deep learning based MRI reconstruction with transformer. - Zhengliang Wu; Weibin Liao; Chao Yan; Mangsuo Zhao; Guowen Liu; Ning Ma; Xuesong Li 003 (Comput. Methods Programs Biomed., 2023)

Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. - Weibin Liao; Yinghao Zhu; Zixiang Wang; Xu Chu; Yasha Wang; Liantao Ma (CoRR, 2024)

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data. - Yinghao Zhu; Zixiang Wang; Junyi Gao; Yuning Tong; Jingkun An; Weibin Liao; Ewen M. Harrison; Liantao Ma; Chengwei Pan (CoRR, 2024)

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation. - Weibin Liao; Yinghao Zhu; Xinyuan Wang 009; Chengwei Pan; Yasha Wang; Liantao Ma (CoRR, 2024)

Is larger always better? Evaluating and prompting large language models for non-generative medical tasks. - Yinghao Zhu; Junyi Gao; Zixiang Wang; Weibin Liao; Xiaochen Zheng; Lifang Liang; Yasha Wang; Chengwei Pan; Ewen M. Harrison; Liantao Ma (CoRR, 2024)

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. - Weibin Liao; Yifan Zhu; Yanyan Li; Qi Zhang; Zhonghong Ou; Xuesong Li (CoRR, 2024)

MTPret: Improving X-Ray Image Analytics With Multitask Pretraining. - Weibin Liao; Qingzhong Wang; Xuhong Li 002; Yi Liu 040; Zeyu Chen; Siyu Huang; Dejing Dou; Yanwu Xu 001; Haoyi Xiong (IEEE Trans. Artif. Intell., 2024)

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees. - Weibin Liao; Xu Chu; Yasha Wang (ICLR, 2025)

Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. - Weibin Liao; Yinghao Zhu; Zhongji Zhang; Yuhang Wang; Zixiang Wang; Xu Chu; Yasha Wang; Liantao Ma (KDD (1), 2025)

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. - Weibin Liao; Yifan Zhu 001; Yanyan Li; Qi Zhang 020; Zhonghong Ou; Xuesong Li 003 (ACM Trans. Inf. Syst., 2025)

LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models. - Weibin Liao; Xin Gao; Tianyu Jia; Rihong Qiu; Yifan Zhu; Yang Lin; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)

Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation. - Weibin Liao; Tianlong Wang; Yinghao Zhu; Yasha Wang; Junyi Gao; Liantao Ma (CoRR, 2025)

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. - Hongxin Ding; Baixiang Huang; Yue Fang; Weibin Liao; Xinke Jiang; Zheng Li; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. - Yue Fang; Yuxin Guo; Jiaran Gao; Hongxin Ding; Xinke Jiang; Weibin Liao; Yongxin Xu; Yinghao Zhu; Zhibang Yang; Liantao Ma; Junfeng Zhao 001; Yasha Wang (CoRR, 2025)

CUPre: Cross-domain Unsupervised Pre-training for few-shot cell segmentation. - Weibin Liao; Xuhong Li 002; Qingzhong Wang; Yanwu Xu 001; Zhaozheng Yin; Haoyi Xiong (Inf. Fusion, 2026)