Yuzhe Lu

According to our database, Yuzhe Lu authored at least 28 papers between 2020 and 2026.

Collaborative distances:

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

2026

CLEAR: 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

CoRR, April, 2026

Remaining Useful Life Prediction of CT X-Ray Tubes Based on the Internet of Medical Things.

Hong Liang, Jipeng Sun, Chang Liu, Cebing Chu, Yuzhe Lu, Yong Fan, Zekun Miao, Chongzhe Zhang, Yonghua Li, Zhengbo Zhang

IEEE Internet Things J., 2026

Collaborative LLM Numerical Reasoning with Local Data Protection.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Energy-Based Transfer for Reinforcement Learning.

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

CoRR, June, 2025

Wasserstein task embedding for measuring task similarities.

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

Neural Networks, 2025

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

Dezhan Tu, Danylo Vashchilenko, Yuzhe Lu, Panpan Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 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, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Teaching Networks to Solve Optimization Problems.

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

IEEE Access, 2024

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

Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

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

Yuzhe Lu, Sungmin Hong, Yash Shah, Panpan Xu

CoRR, 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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Circle Representation for Medical Object Detection.

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

IEEE Trans. Medical Imaging, 2022

On-the-fly Object Detection using StyleGAN with CLIP Guidance.

Yuzhe Lu, Shusen Liu, Jayaraman J. Thiagarajan, Wesam A. Sakla, Rushil Anirudh

CoRR, 2022

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

Yuzhe Lu, Adam Perer

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

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

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

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Contrastive learning meets transfer learning: a case study in medical image analysis.

Yuzhe Lu, Aadarsh Jha, Ruining Deng, Yuankai Huo

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

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, Yuankai Huo

CoRR, 2021

Compressive Neural Representations of Volumetric Scalar Fields.

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

Comput. Graph. Forum, 2021

Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation.

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

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

CircleNet: Anchor-free 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

CoRR, 2020

Adaptive Medical Image Deep Color Perception Algorithm.

Xianhua Zeng, Shiyue Tong, Yuzhe Lu, Liming Xu, Zhiwei Huang

IEEE Access, 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

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020