Yuzhe Lu - RankMe

40 papers A* 4A 1B 1Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Collaborative LLM Numerical Reasoning with Local Data Protection. AAAI Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang
2026	J	`jnl`	Remaining Useful Life Prediction of CT X-Ray Tubes Based on the Internet of Medical Things. IEEE Internet Things J. Hong Liang, Jipeng Sun, Chang Liu, Cebing Chu, Yuzhe Lu, Yong Fan, Zekun Miao, Chongzhe Zhang, Yonghua Li, Zhengbo Zhang
2025	A*	`conf`	A Systematic Survey of Automatic Prompt Optimization Techniques. EMNLP 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
2025	J	`jnl`	A Systematic Survey of Automatic Prompt Optimization Techniques. CoRR 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
2025	J	`jnl`	Collaborative LLM Numerical Reasoning with Local Data Protection. CoRR Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang
2025	J	`jnl`	Energy-Based Transfer for Reinforcement Learning. CoRR Zeyun Deng, Jasorsi Ghosh, Fiona Xie, Yuzhe Lu, Katia P. Sycara, Joseph Campbell
2025	A*	`conf`	VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration. ICLR Dezhan Tu, Danylo Vashchilenko, Yuzhe Lu, Panpan Xu
2025	J	`jnl`	Wasserstein task embedding for measuring task similarities. Neural Networks Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri
2024	A	`conf`	SLoSH: Set Locality Sensitive Hashing via Sliced-Wasserstein Embeddings. WACV Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri
2024	J	`jnl`	Teaching Networks to Solve Optimization Problems. IEEE Access Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri
2024	J	`jnl`	VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration. CoRR Dezhan Tu, Danylo Vashchilenko, Yuzhe Lu, Panpan Xu
2023	A*	`conf`	Characterizing Out-of-Distribution Error via Optimal Transport. NeurIPS Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
2023	J	`jnl`	Characterizing Out-of-Distribution Error via Optimal Transport. CoRR Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia P. Sycara
2023	J	`jnl`	Effectively Fine-tune to Improve Large Multimodal Models for Radiology Report Generation. CoRR Yuzhe Lu, Sungmin Hong, Yash Shah, Panpan Xu
2023	J	`jnl`	Predicting Out-of-Distribution Error with Confidence Optimal Transport. CoRR Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara
2022	J	`jnl`	An Interactive Interpretability System for Breast Cancer Screening with Deep Learning. CoRR Yuzhe Lu, Adam Perer
2022	J	`jnl`	Circle Representation for Medical Object Detection. IEEE Trans. Medical Imaging Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo
2022	—	`conf`	Contrastive learning meets transfer learning: a case study in medical image analysis. Computer-Aided Diagnosis Yuzhe Lu, Aadarsh Jha, Ruining Deng, Yuankai Huo
2022	J	`jnl`	Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining. CoRR Tianyuan Yao, Yuzhe Lu, Jun Long, Aadarsh Jha, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Agnes B. Fogo, Yuankai Huo
2022	J	`jnl`	Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification. CoRR Yuzhe Lu, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Tianyuan Yao, Jiachen Xu, Agnes B. Fogo, Yuankai Huo
2022	J	`jnl`	On-the-fly Object Detection using StyleGAN with CLIP Guidance. CoRR Yuzhe Lu, Shusen Liu, Jayaraman J. Thiagarajan, Wesam A. Sakla, Rushil Anirudh
2022	—	`conf`	Self-supervised learning with large-scale web image mining for characterizing glomerular lesions. Digital and Computational Pathology Tianyuan Yao, Yuzhe Lu, Ruining Deng, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Lee E. Wheless, Agnes B. Fogo, Yuankai Huo
2022	J	`jnl`	Teaching Networks to Solve Optimization Problems. CoRR Xinran Liu, Yuzhe Lu, Ali Abbasi, Meiyi Li, Javad Mohammadi, Soheil Kolouri
2022	J	`jnl`	Wasserstein Task Embedding for Measuring Task Similarities. CoRR Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri
2021	J	`jnl`	Circle Representation for Medical Object Detection. CoRR Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo
2021	J	`jnl`	Compressive Neural Representations of Volumetric Scalar Fields. Comput. Graph. Forum Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger
2021	J	`jnl`	Compressive Neural Representations of Volumetric Scalar Fields. CoRR Yuzhe Lu, Kairong Jiang, Joshua A. Levine, Matthew Berger
2021	J	`jnl`	Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis. CoRR Yuzhe Lu, Aadarsh Jha, Yuankai Huo
2021	J	`jnl`	Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation. CoRR Yuzhe Lu, Haichun Yang, Zheyu Zhu, Ruining Deng, Agnes B. Fogo, Yuankai Huo
2021	B	`conf`	Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation. Image Processing Yuzhe Lu, Haichun Yang, Zheyu Zhu, Ruining Deng, Agnes B. Fogo, Yuankai Huo
2021	J	`jnl`	Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images. IEEE Trans. Medical Imaging Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo
2021	J	`jnl`	SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings. CoRR Yuzhe Lu, Xinran Liu, Andrea Soltoggio, Soheil Kolouri
2021	—	`conf`	SimTriplet: Simple Triplet Representation Learning with a Single GPU. MICCAI (2) 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
2021	J	`jnl`	SimTriplet: Simple Triplet Representation Learning with a Single GPU. CoRR 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
2020	J	`jnl`	Adaptive Medical Image Deep Color Perception Algorithm. IEEE Access Xianhua Zeng, Shiyue Tong, Yuzhe Lu, Liming Xu, Zhiwei Huang
2020	—	`conf`	CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. MICCAI (4) Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo
2020	J	`jnl`	CircleNet: Anchor-free Detection with Circle Representation. CoRR Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo
2020	—	`conf`	EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology. iMIMIC/MIL3ID/LABELS@MICCAI Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo
2020	J	`jnl`	EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology. CoRR Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo
2020	J	`jnl`	Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images. CoRR Ruining Deng, Haichun Yang, Aadarsh Jha, Yuzhe Lu, Peng Chu, Agnes B. Fogo, Yuankai Huo