Bryan Lu

science @ aws

yuzhelu[at]cs.cmu.edu find me on:

research

* denotes equal contribution.

  • You Only Rollout Once: Continual Learning via Real-Time RL for Agents

    Linbo Liu, Yuzhe Lu, Youzhi Luo, Sijun Tan, Panpan Xu, Luke Huan

    rLLM Blog 2026

    [blog][code]

  • Training a Frontier Java Code Migration Agent with AWS AgentCore Runtime

    Yuzhe Lu, Youzhi Luo, Linbo Liu, Sijun Tan, Tianhao Wu, Sida Li, Panpan Xu, Anoop Deoras, Ion Stoica

    rLLM Blog 2026

    [blog][code]

  • Context Augmentation from Contrastive Learning of Experience via Agentic Reflection

    Linbo Liu, Guande Wu, Han Ding, Yawei Wang, Qiang Zhou, Yuzhe Lu, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong

    EMNLP 2026

    [paper]

  • Energy-Based Transfer for Reinforcement Learning

    Zeyun Deng, Jasorsi Ghosh, Fiona Xie, Kai Cheng, Yuzhe Lu, Katia P. Sycara, Joseph Campbell

    CoLLAs 2026

    [paper]

  • Collaborative LLM Numerical Reasoning with Local Data Protection

    Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang

    AAAI 2026

    [paper]

  • A Systematic Survey of Automatic Prompt Optimization Techniques

    Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong

    EMNLP 2025

    [paper]

  • VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration

    Dezhan Tu, Danylo Vashchilenko, Yuzhe Lu, Panpan Xu

    ICLR 2025

    [paper]

  • Wasserstein Task Embedding for Measuring Task Similarities

    Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri

    Neural Networks 2025

    [paper]

  • Teaching Networks to Solve Optimization Problems

    Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri

    IEEE Access 2024

    [paper][code]

  • SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings

    Yuzhe Lu*, Xinran Liu*, Andrea Soltoggio, Soheil Kolouri

    WACV 2024

    [paper][code]

  • Characterizing Out-of-Distribution Error via Optimal Transport

    Yuzhe Lu*, Yilong Qin*, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia Sycara

    NeurIPS 2023
    ICLR 2023, Trustworthy Machine Learning Workshop

    [paper][code]

  • Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation

    Yuzhe Lu, Sungmin Hong, Yash Shah, Panpan Xu

    NeurIPS 2023, Deep Generative Models for Health Workshop

    [paper]

  • An Interactive Interpretability System for Breast Cancer Screening with Deep Learning

    Yuzhe Lu, Adam Perer

    IEEE VIS 2022, Visualization in Biomedical AI Workshop

    [paper][code]

  • Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-Scale Web Image Mining

    Tianyuan Yao, Yuzhe Lu, Jun Long, Aadarsh Jha, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Agnes B. Fogo, Yuankai Huo

    Journal of Medical Imaging 2022

    [paper]

  • Neural Flow Map Reconstruction

    Saroj Sahoo, Yuzhe Lu, Matthew Berger

    EuroVis 2022

    [paper]

  • Holistic Fine-Grained Global Glomerulosclerosis Characterization: From Detection to Unbalanced Classification

    Yuzhe Lu, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Tianyuan Yao, Jiachen Xu, Agnes B. Fogo, Yuankai Huo

    Journal of Medical Imaging 2022

    [paper]

  • SimTriplet: Simple Triplet Representation Learning with a Single GPU

    Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo

    MICCAI 2021

    [paper][code]

  • Compressive Neural Representations of Volumetric Scalar Fields

    Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger

    EuroVis 2021

    [paper][code]

  • Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images

    Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo

    IEEE Transactions on Medical Imaging 2021

    [paper]

  • EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology

    Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo

    MICCAI 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing Workshop

    [paper][code]

  • CircleNet: Anchor-Free Glomerulus Detection with Circle Representation

    Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo

    MICCAI 2020

    [paper][code]

home