Chongyu Qu

According to our database, Chongyu Qu authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction.

Junchao Zhu, Ruining Deng, Junlin Guo, Tianyuan Yao, Chongyu Qu, Juming Xiong, Zhengyi Lu, Yanfan Zhu, Marilyn Lionts, Yuechen Yang, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

CoRR, May, 2026

Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing.

Yuechen Yang, Junlin Guo, Ruining Deng, Junchao Zhu, Zhengyi Lu, Chongyu Qu, Yanfan Zhu, Xingyi Guo, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

CoRR, February, 2026

MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI.

Zhengyi Lu, Ming Lu, Chongyu Qu, Junchao Zhu, Junlin Guo, Marilyn Lionts, Yanfan Zhu, Yuechen Yang, Tianyuan Yao, Jayasai Rajagopal, Bennett Allan Landman, Xiao Wang, Xinqiang Yan, Yuankai Huo

CoRR, February, 2026

AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning.

Chongyu Qu, Zhengyi Lu, Yuxiang Lai, Thomas Z. Li, Junchao Zhu, Junlin Guo, Juming Xiong, Yanfan Zhu, Yuechen Yang, Allen J. Luna, Kim L. Sandler, Bennett A. Landman, Yuankai Huo

CoRR, February, 2026

A comprehensive survey of computer vision methods for spatial transcriptomics.

Junchao Zhu, Ruining Deng, Junlin Guo, Tianyuan Yao, Siqi Lu, Chongyu Qu, Juming Xiong, Yanfan Zhu, Zhengyi Lu, Yuechen Yang, Marilyn Lionts, Yucheng Tang, Daguang Xu, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

Briefings Bioinform., 2026

2025

SCR2-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning.

Junchao Zhu, Ruining Deng, Junlin Guo, Tianyuan Yao, Chongyu Qu, Juming Xiong, Siqi Lu, Zhengyi Lu, Yanfan Zhu, Marilyn Lionts, Yuechen Yang, Yalin Zheng, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

CoRR, December, 2025

Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models.

Runchen Wang, Junlin Guo, Siqi Lu, Ruining Deng, Zhengyi Lu, Yanfan Zhu, Yuechen Yang, Chongyu Qu, Yu Wang, Shilin Zhao, Catie Chang, D. Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo

CoRR, October, 2025

Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection Framework.

Chongyu Qu, Allen J. Luna, Thomas Z. Li, Junchao Zhu, Junlin Guo, Juming Xiong, Kim L. Sandler, Bennett A. Landman, Yuankai Huo

CoRR, August, 2025

Img2ST-Net: Efficient High-Resolution Spatial Omics Prediction from Whole Slide Histology Images via Fully Convolutional Image-to-Image Learning.

Junchao Zhu, Ruining Deng, Junlin Guo, Tianyuan Yao, Juming Xiong, Chongyu Qu, Mengmeng Yin, Yu Wang, Shilin Zhao, Haichun Yang, Daguang Xu, Yucheng Tang, Yuankai Huo

CoRR, August, 2025

ZeroReg3D: A Zero-shot Registration Pipeline for 3D Consecutive Histopathology Image Reconstruction.

Juming Xiong, Ruining Deng, Jialin Yue, Siqi Lu, Junlin Guo, Marilyn Lionts, Tianyuan Yao, Can Cui, Junchao Zhu, Chongyu Qu, Mengmeng Yin, Haichun Yang, Yuankai Huo

CoRR, June, 2025

DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes.

Junlin Guo, James Zimmer-Dauphinee, Jordan M. Nieusma, Siqi Lu, Quan Liu, Ruining Deng, Can Cui, Jialin Yue, Yizhe Lin, Tianyuan Yao, Juming Xiong, Junchao Zhu, Chongyu Qu, Yuechen Yang, D. Mitchell Wilkes, Xiao Wang, Parker VanValkenburgh, Steven A. Wernke, Yuankai Huo

CoRR, April, 2025

MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics.

Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Yucheng Tang, Daguang Xu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yaohong Wang, Haichun Yang, Yuankai Huo

CoRR, February, 2025

Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference Engines.

Chongyu Qu, Ritchie Zhao, Ye Yu, Bin Liu, Tianyuan Yao, Junchao Zhu, Bennett A. Landman, Yucheng Tang, Yuankai Huo

CoRR, January, 2025

DeepAndes: A Self-Supervised Vision Foundation Model for Multispectral Remote Sensing Imagery of the Andes.

Junlin Guo, James Zimmer-Dauphinee, Jordan M. Nieusma, Siqi Lu, Quan Liu, Ruining Deng, Can Cui, Jialin Yue, Yizhe Lin, Tianyuan Yao, Juming Xiong, Junchao Zhu, Chongyu Qu, Yuechen Yang, D. Mitchell Wilkes, Xiao Wang, Parker VanValkenburgh, Steven A. Wernke, Yuankai Huo

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics.

Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Mengmeng Yin, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking.

Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan L. Yuille, Zongwei Zhou

Medical Image Anal., 2024

Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training?

Tiezheng Zhang, Xiaoxi Chen, Chongyu Qu, Alan L. Yuille, Zongwei Zhou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks.

Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou

CoRR, 2023

AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks.

Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou

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