Ph.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 action-graph memory for tool-use workflows.

ACL and CVPR papers

MetaBench will appear at ACL 2026 Oral, CAMP was accepted to ACL 2026 SRW, and TRIDENT will appear at CVPR 2026.

View related entries

NeurIPS work on agents and biomedical reasoning

KARMA was selected as a NeurIPS 2025 Spotlight, alongside work on medical RAG and patient analogy.

View NeurIPS entries

Clinical AI publication

Our multimodal lung cancer study was published in Cell Reports Medicine.

View paper

Background

Education and Experience

Georgia Institute of Technology

GT-Emory-PKU Joint Ph.D. Program · Machine learning for biomedical data

2022-present

Peking University

Department of Big Data and Biomedical AI

2022-present

Google LLC

Research Intern · Enterprise AI agents and action-graph memory

2026.05-2026.08

Tencent AI Lab

Rhino Bird Elite Talent Program Intern · cfDNA and multi-omics modeling

2024.06-2025.07

Huawei Technologies Co., Ltd.

AI Engineer Intern · Recommendation algorithms and user profiling

2021.09-2021.12

National University of Singapore Research Institute

Research Intern · Medical question answering and knowledge graphs

2021.02-2021.08

Soochow University

B.S. Computer Science and Technology (Artificial Intelligence)

2018-2022

Research

Research Overview

My work sits between language-model methods and biomedical AI. I study how models use external knowledge and evaluate these systems on tasks where evidence and domain constraints matter.

Language models and agents

I work on retrieval-augmented generation, multi-agent collaboration, dynamic reasoning, and evaluation for language-model systems.

  • LLM agents and collaborative reasoning
  • Retrieval, knowledge graphs, and external memory
  • Evaluation protocols for trustworthy model behavior
View related papers

Research

Research Agenda

My research is organized around a shared question: how can AI systems use structured knowledge, retrieved evidence, and domain feedback to behave more reliably in high-stakes settings?

General AI agents

Agent workflows, collaborative reasoning, dynamic routing, and memory mechanisms for language model systems.

Knowledge-grounded LLMs

Retrieval-augmented generation, knowledge graph integration, prompt learning, and evidence-aware evaluation.

Biomedical AI

Clinical prediction, molecular phenotyping, multi-omics integration, cfDNA analysis, and ophthalmic modeling.

Benchmarks and translation

Task design and empirical evaluation for AI systems in healthcare, metabolomics, and biomedical reasoning.

Publications

Publications

This section includes the journal articles, conference papers, preprints, manuscripts, and patents listed in my CV. It opens on first-author and co-first-author papers; use the filters for the complete list.

Showing first/co-first publications.

First author Journal Cell Reports Medicine 2025

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.2025.102216
Co-first author Journal npj Digital Medicine 2026

AI-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/s41746-025-02308-4
Co-first author Journal Nature Medicine 2025

Self-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-y
First author Journal Briefings in Bioinformatics 2023

Multiomics 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/bbad378
First author Journal Journal of Biomedical Informatics 2023

MedKPL: 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.2023.104417
First author Conference NeurIPS 2025 Spotlight

KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment

Yuxing Lu, Wei Wu, Xukai Zhao, Rui Peng, and Jinzhuo Wang.

First author Conference NeurIPS 2025

Towards 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.

First author Conference ACL 2026 Oral

MetaBench: 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.

arXiv:2510.14944
First author Conference IJCAI 2024 Oral

Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning

Yuxing Lu, Weichen Zhao, Nan Sun, and Jinzhuo Wang.

DOI: 10.24963/ijcai.2024/659
First author Conference IEEE EMBC 2025

Non-invasive Lung Cancer Diagnosis and Prognosis Through Multimodal Clinical Data

Yuxing Lu and Xukai Zhao.

DOI: 10.1109/EMBC58623.2025.11253295
First author Conference IEEE EMBC 2025

Predicting Adolescent Visual Acuity Using Transformer-Based Time Series Analysis

Yuxing Lu, Xukai Zhao, and Weichen Zhao.

DOI: 10.1109/EMBC58623.2025.11254164
First author Conference KnowLLM 2024

ClinicalRAG: Enhancing Clinical Decision Support through Heterogeneous Knowledge Retrieval

Yuxing Lu, Xukai Zhao, and Jinzhuo Wang.

DOI: 10.18653/v1/2024.knowllm-1.6
First author Conference Clinical NLP 2023

Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text

Yuxing Lu, Xukai Zhao, and Jinzhuo Wang.

DOI: 10.18653/v1/2023.clinicalnlp-1.33
First author Conference IEEE BIBM 2023

MoTIF: a Method for Trustworthy Dynamic Multimodal Learning on Omics

Yuxing Lu, Rui Peng, Jinzhuo Wang, and Bingheng Jiang.

DOI: 10.1109/BIBM58861.2023.10386044
Co-first author Conference ICASSP 2024

Multiscale Scoring Model for Enhanced Urban Perception Evaluation

Xukai Zhao†, Yuxing Lu†, and Jinzhuo Wang.

DOI: 10.1109/ICASSP48485.2024.10447909
Co-first author Manuscript Under review

A cfDNA foundation model for multi-cancer early detection and cancer signal origin prediction

Yu Zhao†, Chenchen Qin†, Yuxing Lu†, et al.

Co-first author Manuscript Revision

EyeAgent diagnoses and predicts ocular diseases using ophthalmic and systemic health data

Xiaoniao Chen†, Sian Liu†, Kai Wang†, Sheng Wang†, Wei Wu†, Hui Xu†, Hang Weng†, Changxi Hu†, Bingrong Wu†, Yuxing Lu†, et al.

First author Manuscript Revision

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.

First author Manuscript Under review

Metabolite-centric Knowledge Graph Unveils Predictive and Mechanistic Insights through Multimodal Learning

Yuxing Lu, Xinru Guan, Wei Wu, Li Quan, Lin Wang, Li Chen, and Jinzhuo Wang.

Co-first author Preprint arXiv 2026

EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models

J. Ben Tamo†, Yuxing Lu†, Benoit L. Marteau, Micky C. Nnamdi, and May D. Wang.

arXiv:2603.19532
First author Preprint arXiv 2026

DyTopo: Dynamic Topology Routing for Multi-Agent Reasoning via Semantic Matching

Yuxing Lu, Yucheng Hu, Xukai Zhao, and Jiuxin Cao.

arXiv:2602.06039
First author Preprint arXiv 2026

LLM-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:2601.13352
First author Preprint arXiv 2026

Training the Knowledge Base through Evidence Distillation and Write-Back Enrichment

Yuxing Lu, Xukai Zhao, Wei Wu, and Jinzhuo Wang.

arXiv:2603.25737
First author Preprint arXiv 2025

Language-Guided Tuning: Enhancing Numeric Optimization with Textual Feedback

Yuxing Lu, Yucheng Hu, Nan Sun, and Xukai Zhao.

arXiv:2508.15757
Co-first author Preprint arXiv 2024

RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Yucheng Hu† and Yuxing Lu†.

arXiv:2404.19543
First author Preprint arXiv 2025

Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications

Yuxing Lu, Sin Yee Goi, Xukai Zhao, and Jinzhuo Wang.

arXiv:2501.11632
Co-author Journal Nature Medicine 2023

Optimized 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/s41591-023-02552-9
Co-author Journal Science Advances 2024

Millimeter-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.adm9314
Co-author Journal PNAS 2024

Accurate 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, et al.

DOI: 10.1073/pnas.2308812120
Co-author Journal Engineering Applications of Artificial Intelligence 2024

An 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.2023.107805
Co-author Journal Sustainable Cities and Society 2024

Assessing 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.2024.105619
Co-author Journal Sustainable Cities and Society 2025

Exploring 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.2024.106083
Co-author Journal Computers, Environment and Urban Systems 2025

Urban 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.2025.102332
Co-author Journal MedComm-Future Medicine 2024

Deep-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/mef2.72
Co-author Journal International Journal of Multimedia Information Retrieval 2025

Cross-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-w
Co-author Conference NeurIPS 2025

Ultra-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.

Co-author Conference NeurIPS 2025

KINDLE: 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.

Co-author Conference NeurIPS 2025

Generalized 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.

Co-author Conference CVPR 2026

TRIDENT: 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.

arXiv:2511.18287
Co-author Conference AAAI 2025

END2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions

Nan Sun, Han Fang, Yuxing Lu, Chengxin Zhao, and Hefei Ling.

DOI: 10.1609/aaai.v39i1.32060
Co-author Conference AAAI 2026

GlyphShield: 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.v40i2.37073
Co-author Conference ICASSP 2024

Concentrated Reasoning and Unified Reconstruction for Multi-Modal Media Manipulation

Weichen Zhao, Yuxing Lu, Ge Jiao, and Yuan Yang.

DOI: 10.1109/ICASSP48485.2024.10447651
Co-author Conference IEEE MLNLP 2024

GAEL: A Global-Aware Entity Linking Model Based on Retriever-Reader Paradigm

Linjie Wang, Shiyi Hao, Yuxing Lu, Chen Wang, Yunfei Liu, and Shengyang Li.

Co-author Manuscript Revision

MoChiAgent analyses electronic health record data to predict maternal and infant outcomes

Hao Wu, Wenxin Zheng, Xiaokai Bei, Kai Wang, Sian Liu, Siming Chen, Gen Li, Yuxing Lu, et al.

Co-author Preprint arXiv 2026

MEDVISTAGYM: 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:2601.07107
Co-author Preprint arXiv 2025

Comprehensive Manuscript Assessment with Text Summarization Using 69707 articles

Qichen Sun, Yuxing Lu, Kun Xia, Li Chen, He Sun, and Jinzhuo Wang.

arXiv:2503.20835
Co-author Preprint bioRxiv 2025

Dissecting 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: 10.1101/2025.02.05.636766
Patent CN117932404B 2025

A dual-modal scoring method and system for coupling park social media review text and image

Xukai Zhao, Guangsi Lin, and Yuxing Lu.

Patent CN119193846B 2025

Biological sample processing method, device, equipment and storage medium

Yu Zhao, Yuxing Lu, Jianhua Yao, Chenchen Qin, and Bing He.

Patent CN120336699A 2025

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.

Patent CN120339812A 2025

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.

Patent CN119049562A 2024

Training method and device for prediction model, electronic equipment, medium and program product

Yu Zhao, Yuxing Lu, Jianhua Yao, Chenchen Qin, and Bing He.

Patent CN118983098A 2024

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.

Patent CN117830830A 2024

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

IEEE BHI Young Professionals

Teaching Assistant · Medical Artificial Intelligence; Multi-Omics Data Analysis, Peking University

Reviewer · Selected conferences and journals in AI, biomedical informatics, and related areas.

Recognition

Selected Honors

NeurIPS Scholar Award

Student travel grants · AAAI, IJCAI, and ICASSP

Scholarships · National Scholarship; Principal's Scholarship, Peking University

Service honors · Student and volunteer service recognition, Peking University