Weibin Liao - RankMe

34 papers A* 3Journal 21Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL. CoRR Bowen Cao, Weibin Liao, Yushi Sun, Dong Fang, Haitao Li, Wai Lam
2026	J	`jnl`	CUPre: Cross-domain Unsupervised Pre-training for few-shot cell segmentation. Inf. Fusion Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong
2026	—	`conf`	HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic Templating. KDD (1) Weibin Liao, Jian-Guang Lou, Haoyi Xiong
2026	J	`jnl`	HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic Templating. CoRR Weibin Liao, Jian-Guang Lou, Haoyi Xiong
2026	A*	`conf`	Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. AAAI Yue Fang, Yuxin Guo, Jiaran Gao, Hongxin Ding, Xinke Jiang, Weibin Liao, Yongxin Xu, Yinghao Zhu, Zhibang Yang, Liantao Ma, Junfeng Zhao, Yasha Wang
2025	A*	`conf`	3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection. EMNLP Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Weibin Liao, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning. CoRR Jinyang Zhang, Yue Fang, Hongxin Ding, Weibin Liao, Muyang Ye, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL. CoRR Rihong Qiu, Zhibang Yang, Xinke Jiang, Weibin Liao, Xin Gao, Xu Chu, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models. CoRR Weibin Liao, Xin Gao, Tianyu Jia, Rihong Qiu, Yifan Zhu, Yang Lin, Xu Chu, Junfeng Zhao, Yasha Wang
2025	—	`conf`	Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. KDD (1) Weibin Liao, Yinghao Zhu, Zhongji Zhang, Yuhang Wang, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma
2025	J	`jnl`	Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation. CoRR Weibin Liao, Tianlong Wang, Yinghao Zhu, Yasha Wang, Junyi Gao, Liantao Ma
2025	J	`jnl`	ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. CoRR Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang, Zheng Li, Junfeng Zhao, Yasha Wang
2025	J	`jnl`	RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. ACM Trans. Inf. Syst. Weibin Liao, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li
2025	A*	`conf`	TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees. ICLR Weibin Liao, Xu Chu, Yasha Wang
2025	—	`conf`	Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks. EMNLP (Findings) Tianlong Wang, Junzhe Chen, Weibin Liao, Xueting Han, Jing Bai
2025	J	`jnl`	Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. CoRR Yue Fang, Yuxin Guo, Jiaran Gao, Hongxin Ding, Xinke Jiang, Weibin Liao, Yongxin Xu, Yinghao Zhu, Zhibang Yang, Liantao Ma, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	Is larger always better? Evaluating and prompting large language models for non-generative medical tasks. CoRR Yinghao Zhu, Junyi Gao, Zixiang Wang, Weibin Liao, Xiaochen Zheng, Lifang Liang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Liantao Ma
2024	J	`jnl`	Learnable Prompt as Pseudo-Imputation: Reassessing the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. CoRR Weibin Liao, Yinghao Zhu, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma
2024	J	`jnl`	LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation. CoRR Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang, Liantao Ma
2024	J	`jnl`	MTPret: Improving X-Ray Image Analytics With Multitask Pretraining. IEEE Trans. Artif. Intell. Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong
2024	J	`jnl`	Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data. CoRR Yinghao Zhu, Zixiang Wang, Junyi Gao, Yuning Tong, Jingkun An, Weibin Liao, Ewen M. Harrison, Liantao Ma, Chengwei Pan
2024	J	`jnl`	RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. CoRR Weibin Liao, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li
2024	J	`jnl`	TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees. CoRR Weibin Liao, Xu Chu, Yasha Wang
2023	—	`conf`	A Deep-Learning-Based Framework for Automatic Segmentation and Labelling of Intracranial Artery. ISBI Yi Lv, Weibin Liao, Wenjin Liu, Zhensen Chen, Xuesong Li
2023	J	`jnl`	CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation. CoRR Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong
2023	J	`jnl`	Deep learning based MRI reconstruction with transformer. Comput. Methods Programs Biomed. Zhengliang Wu, Weibin Liao, Chao Yan, Mangsuo Zhao, Guowen Liu, Ning Ma, Xuesong Li
2023	—	`conf`	MCRLe: Multi-Modal Contrastive Representation Learning For Stroke Onset Time Diagnosis. ISBI Weibin Liao, Peirong Jiang, Yi Lv, Yunjing Xue, Zhensen Chen, Xuesong Li
2023	—	`conf`	MFR-Net: Multi-Scale Feature Representation Module for 3D Cerebrovascular Segmentation. ISBI Yi Lv, Weibin Liao, Zhensen Chen, Xuesong Li
2023	J	`jnl`	MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts. CoRR Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
2022	J	`jnl`	Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR 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
2022	—	`conf`	MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. MICCAI (8) Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
2020	—	`conf`	3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge. CADA@MICCAI Ziyu Su, Yizhuan Jia, Weibin Liao, Yi Lv, Jiaqi Dou, Zhongwei Sun, Xuesong Li
2020	—	`conf`	Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet. CADA@MICCAI Yizhuan Jia, Weibin Liao, Yi Lv, Ziyu Su, Jiaqi Dou, Zhongwei Sun, Xuesong Li
2006	—	`conf`	A Study of Chinese Web Characteristics and Their Implications on Web Search. IMSCCS (2) Kin Fun Li, Louis Yu, Weibin Liao