MultiMed-RAG accepted by npj Digital Medicine
MultiMed-RAG was accepted by npj Digital Medicine, advancing multi-source knowledge and agent collaboration for medical tasks.
View paperPh.D. student · AI and biomedical informatics
Yuxing Lu 陆宇星
I am a Ph.D. student in the GT-Emory-PKU Joint Program. My research focuses on language models, AI agents, and knowledge-guided machine learning for biomedical and clinical applications.
At Georgia Tech, I work with Prof. May Dongmei Wang; at Peking University, I am advised by Dr. Jinzhuo Wang and Prof. Kang Zhang. My recent work includes LLM agents and evaluation, retrieval and knowledge-graph methods, multi-omics and cfDNA modeling, and clinical prediction.
LLM agents
RAG and evaluation
Biomedical knowledge
Clinical and omics data
Current
Updates
Research internship at Google
Working on enterprise AI agents and Procedural Graph memory for tool-use workflows.
ACL and CVPR papers
MetaBench, CAMP, and CoRR are now available in the ACL Anthology; TRIDENT was published at CVPR 2026.
View related entriesClinEnv released on arXiv
ClinEnv introduces an interactive long-horizon EHR environment for evaluating clinical agents.
View paperNeurIPS work on agents and biomedical reasoning
KARMA was selected as a NeurIPS 2025 Spotlight, alongside work on medical RAG and patient analogy.
View NeurIPS entriesClinical AI publication
Our multimodal lung cancer study was published in Cell Reports Medicine.
View paperBackground
Education and Experience
Georgia Institute of Technology
GT-Emory-PKU Joint Ph.D. Program · Machine learning for biomedical data
Peking University
Department of Big Data and Biomedical AI
Google LLC
Research Intern · Enterprise AI agents and Procedural Graph memory
Tencent AI Lab
Rhino Bird Elite Talent Program Intern · cfDNA and multi-omics modeling
Huawei Technologies Co., Ltd.
AI Engineer Intern · Recommendation algorithms and user profiling
National University of Singapore Research Institute
Research Intern · Medical question answering and knowledge graphs
Soochow University
B.S. Computer Science and Technology (Artificial Intelligence)
Research
Research Overview
I build self-improving and knowledge-grounded agents, then evaluate them in biomedical and other high-stakes environments where evidence, reliability, and domain constraints matter.
Language models and agents
I develop procedural memory, self-evolution, retrieval, and multi-agent routing methods for language-model systems.
- Self-improving agents and Procedural Graph memory
- Retrieval, knowledge graphs, and collaborative reasoning
- Benchmarks for reliable long-horizon behavior
Biomedical AI applications
I translate these methods to clinical data, multi-omics, metabolomics, medical imaging, and biomedical knowledge.
- Clinical prediction and patient-centered modeling
- Multi-omics, metabolomics, and molecular phenotyping
- Biomedical knowledge graphs and evidence grounding
Self-improving agents
Procedural memory, validated self-evolution, dynamic routing, and long-horizon tool-use workflows.
Knowledge-grounded reasoning
Retrieval-augmented generation, knowledge graph integration, evidence consistency, and multi-agent collaboration.
Biomedical evaluation and translation
Benchmarks and applications for clinical reasoning, molecular phenotyping, multi-omics, and medical imaging.
Publications
Publications
This section presents public works from my academic CV. It opens with ten representative works; choose Show all or another filter to explore the complete public list.
AI-enabled molecular phenotyping and prognostic predictions in lung cancer through multimodal clinical information integration
Yuxing Lu, Fei Liu, Yunfang Yu, Bojiang Chen, Wenyao Yu, Zixing Zou, Kaiming Li, Meng Man, Chen Ou, Cheng Wang, et al.
DOI: 10.1016/j.xcrm.2025.102216AI-guided personalized predictions on myopia progression and interventions
Sian Liu†, Yuxing Lu†, Xiaoman Li, Xiaoniao Chen, Zhuo Sun, Gen Li, Kai Wang, Wei Wu, Hui Xu, Hongyi Li, et al.
DOI: 10.1038/s41746-025-02308-4Self-improving generative foundation model for synthetic medical image generation and clinical applications
Jinzhuo Wang†, Kai Wang†, Yunfang Yu†, Yuxing Lu†, Wenchao Xiao, Zhuo Sun, Fei Liu, Zixing Zou, Yuanxu Gao, et al.
DOI: 10.1038/s41591-024-03359-yMultiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes
Yuxing Lu, Rui Peng, Lingkai Dong, Kun Xia, Renjie Wu, Shuai Xu, and Jinzhuo Wang.
DOI: 10.1093/bib/bbad378MedKPL: A heterogeneous knowledge enhanced prompt learning framework for transferable diagnosis
Yuxing Lu, Xiaohong Liu, Zongxin Du, Yuanxu Gao, and Guangyu Wang.
DOI: 10.1016/j.jbi.2023.104417KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
Yuxing Lu, Wei Wu, Xukai Zhao, Rui Peng, and Jinzhuo Wang.
DOI: 10.52202/085713-1887Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
Yuxing Lu, Gecheng Fu, Wei Wu, Xukai Zhao, Sin Yee Goi, and Jinzhuo Wang.
DOI: 10.52202/085713-5027MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics
Yuxing Lu, Xukai Zhao, J. Ben Tamo, Micky C. Nnamdi, Rui Peng, Shuang Zeng, Xingyu Hu, Jinzhuo Wang, and May D. Wang.
DOI: 10.18653/v1/2026.acl-long.1506One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction
Yuxing Lu, Yushuhong Lin, and Jason Zhang.
ACL Anthology: 2026.acl-srw.75Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning
Yuxing Lu, Weichen Zhao, Nan Sun, and Jinzhuo Wang.
DOI: 10.24963/ijcai.2024/659Knowledge Graph and Large Language Model for Metabolomics
Yuxing Lu.
DOI: 10.1609/aaai.v39i28.35218Non-invasive Lung Cancer Diagnosis and Prognosis Through Multimodal Clinical Data
Yuxing Lu and Xukai Zhao.
DOI: 10.1109/EMBC58623.2025.11253295Predicting Adolescent Visual Acuity Using Transformer-Based Time Series Analysis
Yuxing Lu, Xukai Zhao, and Weichen Zhao.
DOI: 10.1109/EMBC58623.2025.11254164ClinicalRAG: Enhancing Clinical Decision Support through Heterogeneous Knowledge Retrieval
Yuxing Lu, Xukai Zhao, and Jinzhuo Wang.
DOI: 10.18653/v1/2024.knowllm-1.6Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text
Yuxing Lu, Xukai Zhao, and Jinzhuo Wang.
DOI: 10.18653/v1/2023.clinicalnlp-1.33MoTIF: a Method for Trustworthy Dynamic Multimodal Learning on Omics
Yuxing Lu, Rui Peng, Jinzhuo Wang, and Bingheng Jiang.
DOI: 10.1109/BIBM58861.2023.10386044Multiscale Scoring Model for Enhanced Urban Perception Evaluation
Xukai Zhao†, Yuxing Lu†, and Jinzhuo Wang.
DOI: 10.1109/ICASSP48485.2024.10447909MultiMed-RAG: Leveraging Multi-Source Knowledge and Agent Collaboration for Medical Tasks
Yuxing Lu, Sin Yee Goi, Xukai Zhao, J. Ben Tamo, Micky C. Nnamdi, Wenqi Shi, May D. Wang, and Jinzhuo Wang.
ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents
Yuxing Lu, Yushuhong Lin, Wenqi Shi, J. Ben Tamo, Xukai Zhao, Jinzhuo Wang, and May D. Wang.
arXiv:2606.02568EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models
J. Ben Tamo†, Yuxing Lu†, Benoit L. Marteau, Micky C. Nnamdi, and May D. Wang.
arXiv:2603.19532DyTopo: Dynamic Topology Routing for Multi-Agent Reasoning via Semantic Matching
Yuxing Lu, Yucheng Hu, Xukai Zhao, and Jiuxin Cao.
arXiv:2602.06039LLM-as-RNN: A Recurrent Language Model for Memory Updates and Sequence Prediction
Yuxing Lu, J. Ben Tamo, Weichen Zhao, Nan Sun, Yishan Zhong, Wenqi Shi, Jinzhuo Wang, and May D. Wang.
arXiv:2601.13352Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment
Yuxing Lu, Xukai Zhao, Wei Wu, and Jinzhuo Wang.
arXiv:2603.25737Language-Guided Tuning: Enhancing Numeric Optimization with Textual Feedback
Yuxing Lu, Yucheng Hu, Nan Sun, and Xukai Zhao.
arXiv:2508.15757RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing
Yucheng Hu† and Yuxing Lu†.
arXiv:2404.19543Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications
Yuxing Lu, Sin Yee Goi, Xukai Zhao, and Jinzhuo Wang.
arXiv:2501.11632Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial
Guangyu Wang, Xiaohong Liu, Zhen Ying, Guoxing Yang, Zhiwei Chen, Zhiwen Liu, Min Zhang, Hongmei Yan, Yuxing Lu, et al.
DOI: 10.1038/s41591-023-02552-9Millimeter-scale magnetic implants paired with a fully integrated wearable device for wireless biophysical and biochemical sensing
Ji Wan, Zhongyi Nie, Jie Xu, Zixuan Zhang, Shenglian Yao, Zehua Xiang, Xiang Lin, Yuxing Lu, Chen Xu, Pengcheng Zhao, et al.
DOI: 10.1126/sciadv.adm9314Accurate estimation of biological age and its application in disease prediction using a multimodal image Transformer system
Jinzhuo Wang, Yuanxu Gao, Fangfei Wang, Simiao Zeng, Jiahui Li, Hanpei Miao, Taorui Wang, Jin Zeng, Daniel Baptista-Hon, Olivia Monteiro, Taihua Guan, Linling Cheng, Yuxing Lu, et al.
DOI: 10.1073/pnas.2308812120An integrated deep learning approach for assessing the visual qualities of built environments utilizing street view images
Xukai Zhao, Yuxing Lu, and Guangsi Lin.
DOI: 10.1016/j.engappai.2023.107805Assessing and interpreting perceived park accessibility, usability and attractiveness through texts and images from social media
Xukai Zhao, Yuxing Lu, Wenwen Huang, and Guangsi Lin.
DOI: 10.1016/j.scs.2024.105619Exploring temporal and spatial patterns and nonlinear driving mechanism of park perceptions: A multi-source big data study
Xukai Zhao, He Huang, Guangsi Lin, Yuxing Lu, et al.
DOI: 10.1016/j.scs.2024.106083Urban planning in the age of large language models: Assessing OpenAI o1's performance and capabilities across 556 tasks
Xukai Zhao, He Huang, Tian Yang, Yuxing Lu, Lu Zhang, Rui Wang, Zhenyu Liu, Tian Zhong, and Tao Liu.
DOI: 10.1016/j.compenvurbsys.2025.102332A multi-agent large language model workflow for analyzing perceived cultural values from social media: A study of 141 Chinese cities
Xukai Zhao, Yuxing Lu, He Huang, Guanhong Li, and Chenxi Wang.
DOI: 10.1016/j.cities.2026.107232Deep-learning-based diagnosis of myopia in children using optical coherence tomography angiography
Wenchao Xiao, Yuxing Lu, Hanpei Miao, Wenting Zhao, and David Schanzlin.
DOI: 10.1002/mef2.72Cross-modal alignment with synthetic caption for text-based person search
Weichen Zhao, Yuxing Lu, Zhiyuan Liu, Yuan Yang, and Ge Jiao.
DOI: 10.1007/s13735-025-00356-wUltra-high Resolution Watermarking Framework Resistant to Extreme Cropping and Scaling
Nan Sun, LuYu Yuan, Han Fang, Yuxing Lu, Hefei Ling, Sijing Xie, and Chengxin Zhao.
DOI: 10.52202/085713-1864KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
Rui Peng, Yuchen Lu, Qichen Sun, Yuxing Lu, Chi Zhang, Ziru Liu, and Jinzhuo Wang.
DOI: 10.52202/085713-4173Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
Wei Wu, Yuxing Lu, Zhengrui Guo, Chi Zhang, Can Liao, Yifan Bu, Fangxu Zhou, and Jinzhuo Wang.
DOI: 10.52202/085713-1329TRIDENT: A Trimodal Cascade Generative Framework for Drug and RNA-Conditioned Cellular Morphology Synthesis
Rui Peng, Ziru Liu, Lingyuan Ye, Yuxing Lu, Boxin Shi, and Jinzhuo Wang.
CVPR 2026: 26803-26812Beyond Query Bias: Candidate-Aware Iterative Refinement for Zero-Shot Composed Image Retrieval
Nan Sun, Jing Tang, Lei Sun, Rui Chen, Yuxing Lu, Xiangxiang Chu, Hefei Ling, and Yujun Cai.
DOI: 10.18653/v1/2026.findings-acl.1120END2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions
Nan Sun, Han Fang, Yuxing Lu, Chengxin Zhao, and Hefei Ling.
DOI: 10.1609/aaai.v39i1.32060GlyphShield: Document Watermarking for the Physical World via Vector Typeface Synthesis
Nan Sun, Yuxing Lu, Han Fang, Hefei Ling, Sijing Xie, LuYu Yuan, and Chengxin Zhao.
DOI: 10.1609/aaai.v40i2.37073Concentrated Reasoning and Unified Reconstruction for Multi-Modal Media Manipulation
Weichen Zhao, Yuxing Lu, Ge Jiao, and Yuan Yang.
DOI: 10.1109/ICASSP48485.2024.10447651Dual-Color Granularity Alignment for Text-Based Person Search
Weichen Zhao, Yuxing Lu, Ge Jiao, and Yuan Yang.
DOI: 10.1109/ICASSP48485.2024.10445822GAEL: A Global-Aware Entity Linking Model Based on Retriever-Reader Paradigm
Linjie Wang, Shiyi Hao, Yuxing Lu, Chen Wang, Yunfei Liu, and Shengyang Li.
RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation
Shuang Zeng, Boxu Xie, Lei Zhu, Xinliang Zhang, Jiakui Hu, Zhengjian Yao, Yuanwei Li, Yuxing Lu, and Yanye Lu.
arXiv:2604.11164MEDVISTAGYM: A Scalable Training Environment for Thinking with Medical Images via Tool-Integrated Reinforcement Learning
Meng Lu, Yuxing Lu, Yuchen Zhuang, Megan Mullins, Yang Xie, Guanghua Xiao, Charles Fleming, Wenqi Shi, and Xuan Wang.
arXiv:2601.07107Comprehensive Manuscript Assessment with Text Summarization Using 69707 articles
Qichen Sun, Yuxing Lu, Kun Xia, Li Chen, He Sun, and Jinzhuo Wang.
arXiv:2503.20835Dissecting Dynamic Gene Regulatory Network Using Transformer-Based Temporal Causality Analysis
Rui Peng, Juntian Qi, Yuxing Lu, Wei Wu, Qichen Sun, Chao Zhang, Yongzhen Chen, and Jinzhuo Wang.
DOI: 10.1101/2025.02.05.636766A dual-modal scoring method and system for coupling park social media review text and image
Xukai Zhao, Guangsi Lin, and Yuxing Lu.
Biological sample processing method, device, equipment and storage medium
Yu Zhao, Yuxing Lu, Jianhua Yao, Chenchen Qin, and Bing He.
A method and device for scoring park social media comments and extracting core phrases
Guangsi Lin, Xukai Zhao, Yuxing Lu, Mengyun Chen, Xiaoqi He, and Chenyang Li.
A method for extracting focal objects from park images based on visual saliency prediction
Guangsi Lin, Xukai Zhao, Yuxing Lu, Mengyun Chen, Xiaoqi He, and Chenyang Li.
Training method and device for prediction model, electronic equipment, medium and program product
Yu Zhao, Yuxing Lu, Jianhua Yao, Chenchen Qin, and Bing He.
A method for predicting fetal growth restriction, electronic device and storage medium
Jing Yang, Aiqing Zhang, Kun Xia, Yangyu Zhao, Jinzhuo Wang, Li Li, Yuxing Lu, Nana Huang, Youzhen Zhang, Xiya Sun, Yang Yu, Ziyue Su, Yutong Bao, and Zeyang Lin.
Built environment perception assessment method, system, device and medium based on street view image
Xukai Zhao, Guangsi Lin, and Yuxing Lu.
Service
Academic Service
AAAI Student Committee
AAAI 2027 Program Committee
IEEE BHI Young Professionals
Teaching Assistant · Medical Artificial Intelligence; Multi-Omics Data Analysis, Peking University
Reviewer · Top conferences and journals in AI and biomedical informatics.
Recognition
Selected Honors
Student travel grants · NeurIPS, AAAI, IJCAI, and ICASSP
Scholarships · National Scholarship; Principal's Scholarship, Peking University
Service honors · Top 10 Student and volunteer service recognition, Peking University