Chenglong Ma

According to our database, Chenglong Ma authored at least 27 papers between 2022 and 2026.

Collaborative distances:

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

2026

GraphMAR: Geometry-Aware Graph Learning Framework for Spatially Adaptive CT Metal Artifact Reduction.

Zilong Li, Chenglong Ma, Yiming Lei, Yuanlin Li, Jing Han, Jiannan Liu, Huidong Xie, Junping Zhang, Yi Zhang, Hongming Shan

CoRR, May, 2026

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction.

Yujie Wei, Chenglong Ma, Jianxiong Gao, Chenhui Wang, Shiwei Zhang, Biao Gong, Shuai Tan, Hangjie Yuan, Hongming Shan

CoRR, May, 2026

MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline.

Jiyao Liu, Jianghan Shen, Sida Song, Tianbin Li, Xiaojia Liu, Rongbin Li, Ziyan Huang, Jiashi Lin, Junzhi Ning, Changkai Ji, Siqi Luo, Wenjie Li, Chenglong Ma, Ming Hu, Jing Xiong, Jin Ye, Bin Fu, Ningsheng Xu, Yirong Chen, Lei Ji, Hong Chen, Junjun He

CoRR, April, 2026

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark.

Junzhi Ning, Jiashi Lin, Yingying Fang, Wei Li, Jiyao Liu, Cheng Tang, Chenglong Ma, Wenhao Tang, Tianbin Li, Ziyan Huang, Guang Yang, Junjun He

CoRR, April, 2026

PHASOR: Anatomy- and Phase-Consistent Volumetric Diffusion for CT Virtual Contrast Enhancement.

Zilong Li, Dongyang Li, Chenglong Ma, Zhan Feng, Dakai Jin, Junping Zhang, Hao Luo, Fan Wang, Hongming Shan

CoRR, April, 2026

MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment.

Jiyao Liu, Junzhi Ning, Wanying Qu, Lihao Liu, Chenglong Ma, Junjun He, Ningsheng Xu

CoRR, March, 2026

MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling.

Jiyao Liu, Junzhi Ning, Wanying Qu, Lihao Liu, Chenglong Ma, Junjun He, Ningsheng Xu

CoRR, March, 2026

MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations.

Jiyao Liu, Junzhi Ning, Chenglong Ma, Wanying Qu, Jianghan Shen, Siqi Luo, Jinjie Wei, Jin Ye, Pengze Li, Tianbin Li, Jiashi Lin, Hongming Shan, Xinzhe Luo, Xiaohong Liu, Lihao Liu, Junjun He, Ningsheng Xu

CoRR, March, 2026

Universal pre-training for generalizable incomplete-view CT reconstruction.

Chenglong Ma, Zilong Li, Junjun He, Junping Zhang, Yi Zhang, Hongming Shan

Pattern Recognit., 2026

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision.

Huihui Xu, Jin Ye, Hongqiu Wang, Changkai Ji, Jiashi Lin, Ming Hu, Ziyan Huang, Ying Chen, Chenglong Ma, Tianbin Li, Lihao Liu, Junjun He, Lei Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI.

Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Shixiang Tang, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis.

Junzhi Ning, Wei Li, Cheng Tang, Jiashi Lin, Chenglong Ma, Chaoyang Zhang, Jiyao Liu, Ying Chen, Shujian Gao, Lihao Liu, Yuandong Pu, Huihui Xu, Chenhui Gou, Ziyan Huang, Yi Xin, Qi Qin, Zhongying Deng, Diping Song, Bin Fu, Guang Yang, Yuanfeng Ji, Tianbin Li, Yanzhou Su, Jin Ye, Shixiang Tang, Ming Hu, Junjun He

CoRR, October, 2025

MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs.

Jiyao Liu, Jinjie Wei, Wanying Qu, Chenglong Ma, Junzhi Ning, Yunheng Li, Ying Chen, Xinzhe Luo, Pengcheng Chen, Xin Gao, Ming Hu, Huihui Xu, Xin Wang, Shujian Gao, Dingkang Yang, Zhongying Deng, Jin Ye, Lihao Liu, Junjun He, Ningsheng Xu

CoRR, October, 2025

SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines.

Yizhou Wang, Chen Tang, Han Deng, Jiabei Xiao, Jiaqi Liu, Jianyu Wu, Jun Yao, Pengze Li, Encheng Su, Lintao Wang, Guohang Zhuang, Yuchen Ren, Ben Fei, Ming Hu, Xin Chen, Dongzhan Zhou, Junjun He, Xiangyu Yue, Zhenfei Yin, Jiamin Wu, Qihao Zheng, Yuhao Zhou, Huihui Xu, Chenglong Ma, Yan Lu, Wenlong Zhang, Chunfeng Song, Philip Torr, Shixiang Tang, Xinzhu Ma, Wanli Ouyang, Lei Bai

CoRR, September, 2025

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers.

Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He

CoRR, August, 2025

Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction.

Chenglong Ma, Zilong Li, Yuanlin Li, Jing Han, Junping Zhang, Yi Zhang, Jiannan Liu, Hongming Shan

IEEE Trans. Medical Imaging, June, 2025

MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation.

Chenglong Ma, Yuanfeng Ji, Jin Ye, Zilong Li, Chenhui Wang, Junzhi Ning, Wei Li, Lihao Liu, Qiushan Guo, Tianbin Li, Junjun He, Hongming Shan

CoRR, May, 2025

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning.

Yanzhou Su, Tianbin Li, Jiyao Liu, Chenglong Ma, Junzhi Ning, Cheng Tang, Sibo Ju, Jin Ye, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji, Junjun He

CoRR, April, 2025

Towards Interpretable Counterfactual Generation via Multimodal Autoregression.

Chenglong Ma, Yuanfeng Ji, Jin Ye, Lu Zhang, Ying Chen, Tianbin Li, Mingjie Li, Junjun He, Hongming Shan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation.

Jin Ye, Ying Chen, Yanjun Li, Haoyu Wang, Zhongying Deng, Ziyan Huang, Yanzhou Su, Chenglong Ma, Yuanfeng Ji, Junjun He

CoRR, 2024

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI.

Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He

CoRR, 2024

2023

Prompt-In-Prompt Learning for Universal Image Restoration.

Zilong Li, Yiming Lei, Chenglong Ma, Junping Zhang, Hongming Shan

CoRR, 2023

Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition.

Jiaxin Ye, Yujie Wei, Xin-Cheng Wen, Chenglong Ma, Zhizhong Huang, Kunhong Liu, Hongming Shan

Proceedings of the 31st ACM International Conference on Multimedia, 2023

FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction.

Chenglong Ma, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Learning to Distill Global Representation for Sparse-View CT.

Zilong Li, Chenglong Ma, Jie Chen, Junping Zhang, Hongming Shan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

An evaluation of U-Net in Renal Structure Segmentation.

Haoyu Wang, Ziyan Huang, Jin Ye, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Chenglong Ma, Jingqi Niu, Junjun He

CoRR, 2022

Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation.

Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022