Hi! I am Weibin Liao (廖伟斌), a Ph.D. candidate at Peking University, advised by Prof. Yasha Wang (王亚沙).
I graduated from College of Information and Electrical Engineering, China Agricultural University (中国农业大学信息与电气工程学院) with a bachelor degree, advised by Prof. Zhenbo Li (李振波) and from the School of Computer Science & Technology, Beijing Institute of Technology (北京理工大学计算机学院) with a master degree, advised by Prof. Xuesong Li (李雪松). I also collaborate with Prof. Liantao Ma (马连韬) form Peking University, Dr. Yinghao Zhu (朱英豪) from The University of Hong Kong, Dr. Junyi Gao (高峻逸) from The University of Edinburgh, Prof. Yifan Zhu (朱一凡) from Beijing University of Posts and Telecommunications, and Dr. Haoyi Xiong (熊昊一) from Microsoft Research Asia closely.
My research interest includes Reasoning, NL2SQL, and HealthCare of Large Language Models. As the first author, I have published 10+ papers at the top international AI conferences and journals such as NeurIPS, ICLR, ICML, KDD, ACL, EMNLP, INFFUS, ACM TOIS, IEEE TAI.
🔥 News
2026.06: 🎉🎉 My first-author paper, HyFunc, is selected for an Oral presentation at KDD 2026.2026.05: 🎉🎉 My co-first-author paper, Apex-SQL, is accepted by KDD 2026.2026.05: 🎉🎉 My co-first-author & project leader paper, DynaSteer, is accepted by ICML 2026, and my co-first-author paper, $\ell_2$ Norm, is accepted by ICML 2026 Spotlight.2026.04: 🎉🎉 My co-first-author paper, ProMed, is accepted by ACL 2026.2026.03: My co-first-author paper, ClinicRealm, is accepted by npj Digital Medicine.2026.01: My first-author paper, LearNAT, and my co-first-author paper, ADEPT, are accepted by ICLR 2026.2025.11: My first-author paper, HyFunc, is accepted by KDD 2026.2025.11: My co-author paper, EAG-RL, is accepted by AAAI 2026 Oral.2025.09: My first-author paper, Magical, is accepted by NeurIPS 2025.2025.08: My first-author paper, CUPre, is accepted by Information Fusion.2025.08: My co-first-author paper, PlanLearn, and my co-author paper, 3DS, are accepted by EMNLP 2025.2025.01: My first-author paper, TPO, is accepted by ICLR 2025.2024.11: My first-author paper, PAI, is accepted by KDD 2025.
📝 Publications
2026
ICML 2026
ICML 2026
Tianlong Wang*, Yuhang Wang*, Weibin Liao*, Xin Gao, Xinyu Ma, Yang Lin, Yasha Wang, Liantao Ma.
ICLR 2026
LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models
ICLR 2026
Weibin Liao, Xin Gao, Tianyu Jia, Rihong Qiu, Yifan Zhu, Yang Lin, Xinyu Ma, Junfeng Zhao, Yasha Wang.
Arxiv 2026Database Context Compression for Text-to-SQL on Real-World Large Databases, Jingwen Liu*, Weibin Liao*, Xin Gao, Junfeng Zhao, Yasha Wang.KDD 2026APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL, Bowen Cao*, Weibin Liao*, Yushi Sun, Dong Fang, Haitao Li, Wai Lam.ICML 2026(Spotlight) The Tell-Tale Norm: $\ell_2$ Magnitude as a Signal for Reasoning Dynamics in Large Language Models, Jinyang Zhang*, Hongxin Ding*, Yue Fang*, Weibin Liao*, Muyang Ye, Junfeng Zhao, Yasha Wang.ACL 2026ProMed: 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.npj Digital MedicineClinicRealm: 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.ICLR 2026ADEPT: 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.KDD 2026(Oral) HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic Templating, Weibin Liao, Jian-Guang Lou, Haoyi Xiong.AAAI 2026(Oral) 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.INFFUSCUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation, Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong.
2025
NeurIPS 2025
Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
NeurIPS 2025
Weibin Liao, Tianlong Wang, Yinghao Zhu, Yasha Wang, Junyi Gao, Liantao Ma
ICLR 2025
TPO: Aligning Large Language Models with Multi-branch \& Multi-step Preference Trees
ICLR 2025
Weibin Liao, Xu Chu, Yasha Wang
KDD 2025
KDD 2025
Weibin Liao, Yinghao Zhu, Zhongji Zhang, Yuhang Wang, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma
Arxiv 2025Bridging 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.EMNLP Findings 2025Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks, Tianlong Wang*, Junzhe Chen*, Weibin Liao*, Xueting Han, Jing Bai.EMNLP 20253DS: 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.ElectronicsHistoMoCo: Momentum Contrastive Learning Pre-Training on Unlabeled Histopathological Images for Oral Squamous Cell Carcinoma Detection, Weibin Liao*, Yifan He*, Bowen Jiang*, Junfeng Zhao, Min Gao, Xiaoyun Zhang.
2024
ACM TOISRevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation, Weibin Liao, Yifan Zhu, Yanyan Li, Qi Zhang, Zhonghong Ou, Xuesong Li.IEEE TAIMTPret: Improving X-ray Image Analytics with Multi-Task Pre-training, Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong.MRIAccurate and Robust Segmentation of Cerebral Vasculature on Four-dimensional Arterial Spin Labeling Magnetic Resonance Angiography Using Machine-learning Approach, Weibin Liao, Gen Shi, Yi Lv, Lixin Liu, Xihe Tang, Yongjian Jin, Zihan Ning, Xihai Zhao, Xuesong Li, Zhensen Chen.Arxiv 2024LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation, Weibin Liao, Yinghao Zhu, Xinyuan Wang, Chengwei Pan, Yasha Wang, Liantao Ma.
2023
CMPBDeep Learning based MRI Reconstruction with Transformer, Zhengliang Wu, Weibin Liao, Chao Yan, Mangsuo Zhao, Guowen Liu, Ning Ma, Xuesong Li.ISBI 2023MCRLe: Multi-Modal Contrastive Representation Learning For Stroke Onset Time Diagnosis, Weibin Liao, Peirong Jiang, Yi Lv, Yunjing Xue, Zhensen Chen, Xuesong Li.ISBI 2023A Deep-Learning-Based Framework for Automatic Segmentation and Labelling of Intracranial Artery, Yi Lv, Weibin Liao, Wenjin Liu, Zhensen Chen, Xuesong Li.ISBI 2023MFR-NET: Multi-scale Feature Representation Module for 3d Cerebrovascular Segmentation, Yi Lv, Weibin Liao, Zhensen Chen, Xuesong Li.
2022
MICCAI 2022MUSCLE: 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.
2020
MICCAI-CADA 2020Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet, Yizhuan Jia*, Weibin Liao*, Yi Lv, Ziyu Su, Jiaqi Dou, Zhongwei Sun, Xuesong Li.MICCAI-CADA 20203D 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.
🍳 Program Committee & Reviewer Service
- Program Committee Member of ICLR25-26, NeurIPS25-26, ARR25-26, AAAI26-27, ICML26, KDD26
- Reviewer of IEEE TKDE, IEEE TDSC, ACM TOIS, INFFUS
🏆 Honors and Awards
2026Principal’s Scholarship @ Peking University2025National Scholarship @ Peking University2025Merit Student Award @ Peking University2021 & 2022First-Class Scholarship for Outstanding Students @ Beijing Institute of Technology2020Champion of the MICCAI-CADA2020 - Cerebral Aneurysm Detection Challenge2020Champion of the MICCAI-CADA2020 - Cerebral Aneurysm Segmentation Challenge2018National Second Prize of National Student Mathematical Modeling Competition2018Second Prize of “Minsheng Cup” Mathematical Modeling Competition2017 & 2018 & 2019First-Class Scholarship for Outstanding Students @ China Agricultural University2017 & 2018Anlifang Scholarship @ China Agricultural University
📖 Educations
2023.09 - 2027.06 (now)Ph.D student, School of Computer Science, Peking University, Beijing- Major in Computer Software and Theory
- Advisors: Prof. Yasha Wang (王亚沙)
2020.09 - 2023.06Master, School of Computer Science & Technology, Beijing Institute of Technology, Beijing- Major in Computer Science and Technology
- Advisors: Prof. Xuesong Li (李雪松)
2016.09 - 2020.06Undergraduate, College of Information and Electrical Engineering, China Agricultural University, Beijing- Major in Computer Science and Technology
- Advisors: Prof. Zhenbo Li (李振波)
- Minor in Mathematics and Applied Mathematics
💻 Internships
2021.11 - 2022.12Baidu Inc., Beijing.- Topic: Medical Image Analysis
- Worked with Dr. Haoyi Xiong (熊昊一)