Yongxin Xu

According to our database, Yongxin Xu authored at least 29 papers between 2019 and 2025.

Collaborative distances:

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

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, Yasha Wang

CoRR, August, 2025

EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models.

Yuzhen Xiao, Jiahe Song, Yongxin Xu, Ruizhe Zhang, Yiqi Xiao, Xin Lu, Runchuan Zhu, Bowen Jiang, Junfeng Zhao

CoRR, May, 2025

GeoEdit: Geometric Knowledge Editing for Large Language Models.

Yujie Feng, Liming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu

CoRR, February, 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

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

Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning.

Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xinyu Ma, Xu Chu, Junfeng Zhao, Yasha Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses.

Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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, Yasha Wang, Bing Xie

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models.

Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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, 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

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, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, 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, Philip S. Yu, Xiao-Ming Wu

CoRR, 2024

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation.

Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 2024

RAGraph: A General Retrieval-Augmented Graph Learning Framework.

Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Chu Xu, Junfeng Zhao, Yasha Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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, Yasha Wang, Bing Xie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning to Schedule Online Tasks with Bandit Feedback.

Yongxin Xu, Shangshang Wang, Hengquan Guo, Xin Liu, Ziyu Shao

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation.

Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

ZKSQL: Verifiable and Efficient Query Evaluation with Zero-Knowledge Proofs.

Xiling Li, Chenkai Weng, Yongxin Xu, Xiao Wang, Jennie Rogers

Proc. VLDB Endow., 2023

Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models.

Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang

CoRR, 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, Yasha Wang, Bing Xie

Proceedings of the ACM Web Conference 2023, 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

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 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, Yasha Wang, Bing Xie

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations.

Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

An Energy-Efficient and Fast Convergent Resource Allocation Algorithm in Distributed Wireless Ad Hoc Networks.

Wei Feng, Yongxin Xu, Xiaorong Xu, Mingxiong Zhao, Yingbiao Yao

IEEE Access, 2019