Weibin Liao

According to our database, Weibin Liao authored at least 30 papers between 2006 and 2026.

Collaborative distances:

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

2026

GraphWalker: Graph-Guided In-Context Learning for Clinical Reasoning on Electronic Health Records.

Yue Fang, Weibin Liao, Yuxin Guo, Jiaran Gao, Hongxin Ding, Jinyang Zhang, Xinke Jiang, Zhibang Yang, Junfeng Zhao, Yasha Wang, Liantao Ma

CoRR, April, 2026

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL.

Bowen Cao, Weibin Liao, Yushi Sun, Dong Fang, Haitao Li, Wai Lam

CoRR, February, 2026

ClinicRealm: Re-evaluating large language models with conventional machine learning for non-generative clinical prediction tasks.

Yinghao Zhu, Junyi Gao, Zixiang Wang, Weibin Liao, Xiaochen Zheng, Lifang Liang, Miguel O. Bernabeu, Yasha Wang, Lequan Yu, Chengwei Pan, Ewen M. Harrison, Liantao Ma

npj Digit. Medicine, 2026

CUPre: Cross-domain Unsupervised Pre-training for few-shot cell segmentation.

Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong

Inf. Fusion, 2026

HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic Templating.

Weibin Liao, Jian-Guang Lou, Haoyi Xiong

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

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, Yasha Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL.

Rihong Qiu, Zhibang Yang, Xinke Jiang, Weibin Liao, Xin Gao, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, December, 2025

ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning.

Jinyang Zhang, Yue Fang, Hongxin Ding, Weibin Liao, Muyang Ye, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, October, 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, Yasha Wang

CoRR, August, 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, Yasha Wang

CoRR, April, 2025

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation.

Weibin Liao, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li

ACM Trans. Inf. Syst., January, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees.

Weibin Liao, Xu Chu, Yasha Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks.

Tianlong Wang, Junzhe Chen, Weibin Liao, Xueting Han, Jing Bai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection.

Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Weibin Liao, Xu Chu, Junfeng Zhao, Yasha Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

MTPret: Improving X-Ray Image Analytics With Multitask Pretraining.

Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong

IEEE Trans. Artif. Intell., September, 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

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation.

Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, 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

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

2023

Deep learning based MRI reconstruction with transformer.

Zhengliang Wu, Weibin Liao, Chao Yan, Mangsuo Zhao, Guowen Liu, Ning Ma, Xuesong Li

Comput. Methods Programs Biomed., May, 2023

A Deep-Learning-Based Framework for Automatic Segmentation and Labelling of Intracranial Artery.

Yi Lv, Weibin Liao, Wenjin Liu, Zhensen Chen, Xuesong Li

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MFR-Net: Multi-Scale Feature Representation Module for 3D Cerebrovascular Segmentation.

Yi Lv, Weibin Liao, Zhensen Chen, Xuesong Li

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MCRLe: Multi-Modal Contrastive Representation Learning For Stroke Onset Time Diagnosis.

Weibin Liao, Peirong Jiang, Yi Lv, Yunjing Xue, Zhensen Chen, Xuesong Li

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.

Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab

CoRR, 2022

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, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet.

Yizhuan Jia, Weibin Liao, Yi Lv, Ziyu Su, Jiaqi Dou, Zhongwei Sun, Xuesong Li

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

2006

A Study of Chinese Web Characteristics and Their Implications on Web Search.

Kin Fun Li, Louis Yu, Weibin Liao

Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006