CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. - Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Ye Chen; Joseph T. Roland; Le Lu 001; Bennett A. Landman; Agnes B. Fogo; Yuankai Huo (MICCAI (4), 2020)

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 (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Adaptive Medical Image Deep Color Perception Algorithm. - Xianhua Zeng; Shiyue Tong; Yuzhe Lu; Liming Xu; Zhiwei Huang (IEEE Access, 2020)

CircleNet: Anchor-free Detection with Circle Representation. - Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Ye Chen; Joseph T. Roland; Le Lu 001; Bennett A. Landman; Agnes B. Fogo; Yuankai Huo (CoRR, 2020)

SimTriplet: Simple Triplet Representation Learning with a Single GPU. - Quan Liu 002; 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 (2), 2021)

Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation. - Yuzhe Lu; Haichun Yang; Zheyu Zhu; Ruining Deng; Agnes B. Fogo; Yuankai Huo (Image Processing, 2021)

Compressive Neural Representations of Volumetric Scalar Fields. - Yuzhe Lu; Kairong Jiang; Joshua A. Levine; Matthew Berger (Comput. Graph. Forum, 2021)

Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis. - Yuzhe Lu; Aadarsh Jha; Yuankai Huo (CoRR, 2021)

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 Trans. Medical Imaging, 2021)

Contrastive learning meets transfer learning: a case study in medical image analysis. - Yuzhe Lu; Aadarsh Jha; Ruining Deng; Yuankai Huo (Computer-Aided Diagnosis, 2022)

Self-supervised learning with large-scale web image mining for characterizing glomerular lesions. - Tianyuan Yao; Yuzhe Lu; Ruining Deng; Zheyu Zhu; Zuhayr Asad; Haichun Yang; Lee E. Wheless; Agnes B. Fogo; Yuankai Huo (Digital and Computational Pathology, 2022)

Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification. - Yuzhe Lu; Haichun Yang; Zuhayr Asad; Zheyu Zhu; Tianyuan Yao; Jiachen Xu; Agnes B. Fogo; Yuankai Huo (CoRR, 2022)

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 (CoRR, 2022)

An Interactive Interpretability System for Breast Cancer Screening with Deep Learning. - Yuzhe Lu; Adam Perer (CoRR, 2022)

On-the-fly Object Detection using StyleGAN with CLIP Guidance. - Yuzhe Lu; Shusen Liu 001; Jayaraman J. Thiagarajan; Wesam Sakla; Rushil Anirudh (CoRR, 2022)

Circle Representation for Medical Object Detection. - Ethan H. Nguyen; Haichun Yang; Ruining Deng; Yuzhe Lu; Zheyu Zhu; Joseph T. Roland; Le Lu 001; Bennett A. Landman; Agnes B. Fogo; Yuankai Huo (IEEE Trans. Medical Imaging, 2022)

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 P. Sycara (NeurIPS, 2023)

Predicting Out-of-Distribution Error with Confidence Optimal Transport. - Yuzhe Lu; Zhenlin Wang; Runtian Zhai; Soheil Kolouri; Joseph Campbell; Katia P. Sycara (CoRR, 2023)

Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation. - Yuzhe Lu; Sungmin Hong; Yash Shah; Panpan Xu (CoRR, 2023)

SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. - Yuzhe Lu; Xinran Liu; Andrea Soltoggio; Soheil Kolouri (WACV, 2024)

Teaching Networks to Solve Optimization Problems. - Xinran Liu; Yuzhe Lu; Ali Abbasi 008; Meiyi Li; Javad Mohammadi; Soheil Kolouri (IEEE Access, 2024)

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)

Wasserstein task embedding for measuring task similarities. - Xinran Liu; Yikun Bai; Yuzhe Lu; Andrea Soltoggio; Soheil Kolouri (Neural Networks, 2025)

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 004; et al. (CoRR, 2025)

Collaborative LLM Numerical Reasoning with Local Data Protection. - Min Zhang; Yuzhe Lu; Yun Zhou; Panpan Xu; Lin Lee Cheong; Chang-Tien Lu; Haozhu Wang (CoRR, 2025)

Energy-Based Transfer for Reinforcement Learning. - Zeyun Deng; Jasorsi Ghosh; Fiona Xie; Yuzhe Lu; Katia P. Sycara; Joseph Campbell (CoRR, 2025)