An Energy-Efficient and Fast Convergent Resource Allocation Algorithm in Distributed Wireless Ad Hoc Networks. - Wei Feng 014; Yongxin Xu; Xiaorong Xu; Mingxiong Zhao 001; Yingbiao Yao (IEEE Access, 2019)

A Low Power All-Digital PLL With -40dBc In-Band Fractional Spur Suppression for NB-IoT Applications. - Na Yan; Lei Ma; Yongxin Xu; Sizheng Chen; Xusong Liu; Junhui Xiang; Hao Min (IEEE Access, 2019)

KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. - Kai Yang; Yongxin Xu; Peinie Zou; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (AAAI, 2023)

VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. - Yongxin Xu; Kai Yang; Chaohe Zhang; Peinie Zou; Zhiyuan Wang; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (IJCAI, 2023)

Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional Network. - Yecheng Liu; Xu Chen; Yongxin Xu; Dong Xiang; Linjian Mo (ITSC, 2023)

SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. - Yongxin Xu; Xu Chu; Kai Yang; Zhiyuan Wang; Peinie Zou; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (WWW, 2023)

Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. - Xinke Jiang; Ruizhe Zhang 013; Yongxin Xu; Rihong Qiu; Yue Fang; Zhiyuan Wang; Jinyi Tang; Hongxin Ding; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2023)

ZKSQL: Verifiable and Efficient Query Evaluation with Zero-Knowledge Proofs. - Xiling Li; Chenkai Weng; Yongxin Xu; Xiao Wang 012; Jennie Rogers (Proc. VLDB Endow., 2023)

TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. - Yujie Feng; Xu Chu; Yongxin Xu; Guangyuan Shi; Bo Liu 049; Xiao-Ming Wu 003 (ACL (1), 2024)

Learning to Schedule Online Tasks with Bandit Feedback. - Yongxin Xu; Shangshang Wang; Hengquan Guo; Xin Liu 049; Ziyu Shao (AAMAS, 2024)

ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. - Yongxin Xu; Xinke Jiang; Xu Chu; Yuzhen Xiao; Chaohe Zhang; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (KDD, 2024)

RAGraph: A General Retrieval-Augmented Graph Learning Framework. - Xinke Jiang; Rihong Qiu; Yongxin Xu; Wentao Zhang 008; Yichen Zhu; Ruizhe Zhang 013; Yuchen Fang 001; Chu Xu; Junfeng Zhao 001; Yasha Wang (NeurIPS, 2024)

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation. - Ruizhe Zhang 013; Xinke Jiang; Yuchen Fang 001; Jiayuan Luo; Yongxin Xu; Yichen Zhu; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning. - Yujie Feng; Xu Chu; Yongxin Xu; Zexin Lu; Bo Liu 049; Philip S. Yu; Xiao-Ming Wu 003 (CoRR, 2024)

TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. - Xinke Jiang; Yue Fang; Rihong Qiu; Haoyu Zhang; Yongxin Xu; Hao Chen 103; Wentao Zhang 008; Ruizhe Zhang 013; Yuchen Fang 001; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models. - Zhihao Yu; Yujie Jin; Yongxin Xu; Xu Chu; Yasha Wang; Junfeng Zhao 001 (CoRR, 2024)

3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation. - Hongxin Ding; Yue Fang; Runchuan Zhu; Xinke Jiang; Jinyang Zhang; Yongxin Xu; Xu Chu; Junfeng Zhao 001; Yasha Wang (CoRR, 2024)

Low-complexity end-to-end deep learning framework for 100G-PON. - Yongxin Xu; Xiaokai Guan; Wenqing Jiang; Xudong Wang; Weisheng Hu; Lilin Yi (J. Opt. Commun. Netw., 2024)

KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. - Ruizhe Zhang 013; Yongxin Xu; Yuzhen Xiao; Runchuan Zhu; Xinke Jiang; Xu Chu; Junfeng Zhao 001; Yasha Wang (AAAI, 2025)

DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations. - Yongxin Xu; Xinke Jiang; Xu Chu; Rihong Qiu; Yujie Feng; Hongxin Ding; Junfeng Zhao 001; Yasha Wang; Bing Xie (AAAI, 2025)

Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. - Yujie Feng; Xujia Wang; Zexin Lu; Shenghong Fu; Guangyuan Shi; Yongxin Xu; Yasha Wang; Philip S. Yu; Xu Chu; Xiao-Ming Wu 003 (ACL (1), 2025)

HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses. - Xinke Jiang; Ruizhe Zhang 013; Yongxin Xu; Rihong Qiu; Yue Fang; Zhiyuan Wang; Jinyi Tang; Hongxin Ding; Xu Chu; Junfeng Zhao 001; Yasha Wang (ACL (1), 2025)

TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems. - Xinke Jiang; Yue Fang; Rihong Qiu; Haoyu Zhang; Yongxin Xu; Hao Chen 103; Wentao Zhang 008; Ruizhe Zhang 013; Yuchen Fang 001; Xinyu Ma; Xu Chu; Junfeng Zhao 001; et al. (ACL (1), 2025)

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. - Yongxin Xu; Ruizhe Zhang 013; Xinke Jiang; Yujie Feng; Yuzhen Xiao; Xinyu Ma; Runchuan Zhu; Xu Chu; Junfeng Zhao 001; Yasha Wang (ACL (1), 2025)

IntelliCare: Improving healthcare analysis with patient-level knowledge from large language models. - Zhihao Yu; Yujie Jin; Yongxin Xu; Xiaoyun Zhang; Yasha Wang (Knowl. Based Syst., 2025)

Optimizing Chlorophyll-a Concentration Inversion in Coastal Waters Using SVD and Deep Learning Approach. - Lili Zhan; Yongxin Xu; Jinshan Zhu; Zhangshuo Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

GeoEdit: Geometric Knowledge Editing for Large Language Models. - Yujie Feng; Liming Zhan; Zexin Lu; Yongxin Xu; Xu Chu; Yasha Wang; Jiannong Cao 001; Philip S. Yu; Xiao-Ming Wu 003 (CoRR, 2025)

EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models. - Yuzhen Xiao; Jiahe Song; Yongxin Xu; Ruizhe Zhang 013; Yiqi Xiao; Xin Lu; Runchuan Zhu; Bowen Jiang; Junfeng Zhao 001 (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)