Enhancing Night-to-Day Image Translation with Semantic Prior and Reference Image Guidance. - Junzhi Ning; Mingming Gong (ADC, 2023)

Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning. - Xiaodan Xing; Junzhi Ning; Yang Nan 002; Guang Yang 006 (CoRR, 2024)

Decoding Report Generators: A Cyclic Vision-Language Adapter for Counterfactual Explanations. - Yingying Fang; Zihao Jin; Shaojie Guo; Jinda Liu; Yijian Gao; Junzhi Ning; Zhiling Yue; Zhi Li; Simon L. F. Walsh; Guang Yang 006 (CoRR, 2024)

Anatomy-Guided Radiology Report Generation with Pathology-Aware Regional Prompts. - Yijian Gao; Dominic C. Marshall; Xiaodan Xing; Junzhi Ning; Giorgos Papanastasiou; Guang Yang 006; Matthieu Komorowski (CoRR, 2024)

Unveiling the Capabilities of Latent Diffusion Models for Classification of Lung Diseases in Chest X-Rays. - Junzhi Ning; Xiaodan Xing; Sheng Zhang; Xiao Ma; Guang Yang (ISBI, 2025)

DMRN: A Dynamical Multi-Order Response Network for the Robust Lung Airway Segmentation. - Sheng Zhang 024; Jinge Wu; Junzhi Ning; Guang Yang 006 (WACV, 2025)

Unpaired translation of chest X-ray images for lung opacity diagnosis via adaptive activation masks and cross-domain alignment. - Junzhi Ning; Dominic C. Marshall; Yijian Gao; Xiaodan Xing; Yang Nan 002; Yingying Fang; Sheng Zhang 024; Matthieu Komorowski; Guang Yang 006 (Pattern Recognit. Lett., 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 002; Pengcheng Chen; Ming Hu; Shixiang Tang; Lihao Liu; et al. (CoRR, 2025)

Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model. - Wei Li 044; Ming Hu; Guoan Wang; Lihao Liu; Kaijin Zhou; Junzhi Ning; Xin Guo; Zongyuan Ge; Lixu Gu; Junjun He (CoRR, 2025)

MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation. - Chenglong Ma; Yuanfeng Ji; Jin Ye 002; Zilong Li 001; Chenhui Wang; Junzhi Ning; Wei Li 044; Lihao Liu; Qiushan Guo; Tianbin Li; Junjun He; Hongming Shan (CoRR, 2025)

Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents. - Jinjie Wei; Jiyao Liu; Lihao Liu; Ming Hu; Junzhi Ning; Mingcheng Li; Weijie Yin; Junjun He; Xiao Liang; Chao Feng; Dingkang Yang (CoRR, 2025)

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning? - Xin Wang; Jiyao Liu; Yulong Xiao; Junzhi Ning; Lihao Liu; Junjun He; Botian Shi; Kaicheng Yu (CoRR, 2025)

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization. - Huihui Xu; Yuanpeng Nie; Hualiang Wang; Ying Chen; Wei Li; Junzhi Ning; Lihao Liu; Hongqiu Wang; Lei Zhu; Jiyao Liu; Xiaomeng Li; Junjun He (CoRR, 2025)

Intern-S1: A Scientific Multimodal Foundation Model. - Lei Bai 001; Zhongrui Cai; Yuhang Cao; Maosong Cao; Weihan Cao; Chiyu Chen; Haojiong Chen; Kai Chen; Pengcheng Chen; Ying Chen; Yongkang Chen; Yu Cheng; et al. (CoRR, 2025)