Yuxiang Lai

According to our database, Yuxiang Lai authored at least 23 papers between 2024 and 2026.

Collaborative distances:

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

2026

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models.

Yuxiang Lai, Jike Zhong, Ming Li, Shitian Zhao, Yuheng Li, Konstantinos Psounis, Xiaofeng Yang

IEEE Trans. Medical Imaging, June, 2026

OpenVocabCT: Toward Universal Text-Driven CT Image Segmentation.

Yuheng Li, Yuxiang Lai, Maria Thor, Deborah Marshall, Zachary Buchwald, David S. Yu, Xiaofeng Yang

IEEE Trans. Medical Imaging, May, 2026

Universal CT Representations from Anatomy to Disease Phenotype through Agglomerative Pretraining.

Yuheng Li, Yuan Gao, Haoyu Dong, Yuxiang Lai, Shansong Wang, Mojtaba Safari, James E. Baciak, Xiaofeng Yang

CoRR, May, 2026

ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents.

Yuxiang Lai, Peng Xia, Haonian Ji, Kaiwen Xiong, Kaide Zeng, Jiaqi Liu, Fang Wu, Jike Zhong, Zeyu Zheng, Cihang Xie, Huaxiu Yao

CoRR, May, 2026

MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering.

Suyang Xi, Songtao Hu, Yuxiang Lai, Wangyun Dan, Yaqi Liu, Shansong Wang, Xiaofeng Yang

CoRR, April, 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

2025

EchoVLM: Measurement-Grounded Multimodal Learning for Echocardiography.

Yuheng Li, Yue Zhang, Abdoul Aziz Amadou, Yuxiang Lai, Jike Zhong, Tiziano Passerini, Dorin Comaniciu, Puneet Sharma

CoRR, December, 2025

TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning.

Ming Li, Jike Zhong, Shitian Zhao, Haoquan Zhang, Shaoheng Lin, Yuxiang Lai, Chen Wei, Konstantinos Psounis, Kaipeng Zhang

CoRR, November, 2025

Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging?

Yuxiang Lai, Jike Zhong, Ming Li, Yuheng Li, Xiaofeng Yang

CoRR, October, 2025

Context Matters: Learning Global Semantics via Object-Centric Representation.

Jike Zhong, Yuxiang Lai, Xiaofeng Yang, Konstantinos Psounis

CoRR, October, 2025

MedVista3D: Vision-Language Modeling for Reducing Diagnostic Errors in 3D CT Disease Detection, Understanding and Reporting.

Yuheng Li, Yenho Chen, Yuxiang Lai, Jike Zhong, Vanessa Wildman, Xiaofeng Yang

CoRR, September, 2025

MedDINOv3: How to adapt vision foundation models for medical image segmentation?

Yuheng Li, Yizhou Wu, Yuxiang Lai, Mingzhe Hu, Xiaofeng Yang

CoRR, September, 2025

Patient-Specific Autoregressive Models for Organ Motion Prediction in Radiotherapy.

Yuxiang Lai, Jike Zhong, Vanessa Su, Xiaofeng Yang

CoRR, May, 2025

Think or Not Think: A Study of Explicit Thinking inRule-Based Visual Reinforcement Fine-Tuning.

Ming Li, Jike Zhong, Shitian Zhao, Yuxiang Lai, Kaipeng Zhang

CoRR, March, 2025

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models.

Yuxiang Lai, Jike Zhong, Ming Li, Shitian Zhao, Xiaofeng Yang

CoRR, March, 2025

Towards Universal Text-driven CT Image Segmentation.

Yuheng Li, Yuxiang Lai, Maria Thor, Deborah Marshall, Zachary Buchwald, David S. Yu, Xiaofeng Yang

CoRR, March, 2025

To Think or Not To Think: A Study of Thinking in Rule-Based Visual Reinforcement Fine-Tuning.

Ming Li, Jike Zhong, Shitian Zhao, Yuxiang Lai, Haoquan Zhang, Wang Bill Zhu, Kaipeng Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Sequential Organ Motion Prediction via Autoregressive Modeling.

Yuxiang Lai, Jike Zhong, Vanessa Su, Xiaofeng Yang

Proceedings of the Applications of Medical Artificial Intelligence, 2025

EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark.

Ming Li, Jike Zhong, Tianle Chen, Yuxiang Lai, Konstantinos Psounis

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

Analyzing Tumors by Synthesis.

Qi Chen, Yuxiang Lai, Xiaoxi Chen, Qixin Hu, Alan L. Yuille, Zongwei Zhou

CoRR, 2024

From Pixel to Cancer: Cellular Automata in Computed Tomography.

Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan L. Yuille, Zongwei Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation.

Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024