Chongyu Qu - RankMe

20 papers A* 2Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning. CoRR 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
2026	J	`jnl`	Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing. CoRR Yuechen Yang, Junlin Guo, Ruining Deng, Junchao Zhu, Zhengyi Lu, Chongyu Qu, Yanfan Zhu, Xingyi Guo, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo
2026	J	`jnl`	MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI. CoRR 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
2025	A*	`conf`	ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics. CVPR Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Mengmeng Yin, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo
2025	J	`jnl`	Cohort-Aware Agents for Individualized Lung Cancer Risk Prediction Using a Retrieval-Augmented Model Selection Framework. CoRR Chongyu Qu, Allen J. Luna, Thomas Z. Li, Junchao Zhu, Junlin Guo, Juming Xiong, Kim L. Sandler, Bennett A. Landman, Yuankai Huo
2025	J	`jnl`	DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes. CoRR 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
2025	J	`jnl`	DeepAndes: A Self-Supervised Vision Foundation Model for Multispectral Remote Sensing Imagery of the Andes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 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
2025	J	`jnl`	Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models. CoRR 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
2025	J	`jnl`	Img2ST-Net: Efficient High-Resolution Spatial Omics Prediction from Whole Slide Histology Images via Fully Convolutional Image-to-Image Learning. CoRR 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
2025	J	`jnl`	MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics. CoRR 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
2025	J	`jnl`	Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference Engines. CoRR Chongyu Qu, Ritchie Zhao, Ye Yu, Bin Liu, Tianyuan Yao, Junchao Zhu, Bennett A. Landman, Yucheng Tang, Yuankai Huo
2025	J	`jnl`	SCR2-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning. CoRR 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
2025	J	`jnl`	ZeroReg3D: A Zero-shot Registration Pipeline for 3D Consecutive Histopathology Image Reconstruction. CoRR 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
2024	J	`jnl`	ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics. CoRR Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Mengmeng Yin, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo
2024	J	`jnl`	AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking. CoRR 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
2024	J	`jnl`	AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking. Medical Image Anal. 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
2024	—	`conf`	Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training? ISBI Tiezheng Zhang, Xiaoxi Chen, Chongyu Qu, Alan L. Yuille, Zongwei Zhou
2024	J	`jnl`	Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training? CoRR Tiezheng Zhang, Xiaoxi Chen, Chongyu Qu, Alan L. Yuille, Zongwei Zhou
2023	A*	`conf`	AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks. NeurIPS Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou
2023	J	`jnl`	Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks. CoRR Chongyu Qu, Tiezheng Zhang, Hualin Qiao, Jie Liu, Yucheng Tang, Alan L. Yuille, Zongwei Zhou