Dr. Changmiao Wang （王昌淼）

Shenzhen Research Institute of Big Data
The Chinese University of Hong Kong, Shenzhen

Tel：+86-0755-23517523
Email: cmwangalbert@gmail.com
Address: 2001 Longxiang Avenue, Longgang District, Shenzhen, 518172, China
Office: Daoyuan 225

[Google Scholar][Researchgate][ORCiD]

Short Bio Selected Publications Honors & Awards Professionals Research Fund Resources
Short Bio [Top]

Changmiao Wang is an associate professor at the Shenzhen Research Institute of Big Data. He obtained his Ph.D. degree in Pattern Recognition and Intelligent Systems from the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences in 2018, supervised by Prof. Qingmao Hu and Prof. Fucang Jia. He was a postdoctoral researcher at The Chinese University of Hong Kong, Shenzhen, from 1/9/2018 to 31/8/2020, where he worked with Prof. Shuguang Cui and Prof. Xiaoguang Han. His research interests include computer vision, medical image analysis, and generative AI applications. He has published nearly 80 papers in top journals and conferences (e.g., JBHI, Neural Networks, ESWA, IEEE TCE, IEEE TAI, IEEE TGRS, KBS, Applied Soft Computing, IEEE/ACM TCBB, BIB, CIBM, ACM MM, MICCAI, BIBM, ISBI).
If you are interested in related research, please contact me by email.

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Selected Publications ｜ Google Scholar [Top]
[Neural Networks(2), JBHI(3), ESWA(2), IEEE TCE(2), IEEE TAI, IEEE TGRS, KBS, Applied Soft Computing, IEEE/ACM TCBB, BIB, CIBM(高被引，热点), ACM MM(2), MICCAI(10), BIBM(5), ISBI(12), ICPR, 2023年获 MICCAI Workshop CMMCA 2023 Best Paper Award 🏆, 2025年获MICCAI Best Computational Pathology Paper Award 🏆]
/*2025*/

Frequency Domain Convolutional Network With Historical Data Fusion Module for Regional Streamflow Prediction

Yongquan Zhang, Yuanhao Chen, Haoqi Yu, Jingrong Dai, Bo Liu*, Nannan Li, Changmiao Wang*, and Ahmed Elazab.

IEEE Transactions on Geoscience and Remote Sensing (2025). （中科院一区TOP期刊, IF = 8.6, JCR Q1）

[Paper][Code]

BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models

Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang*, and Ruiquan Ge*.

IEEE Journal of Biomedical and Health Informatics (2025).（中科院二区TOP期刊, IF = 6.8, JCR Q1）

[Paper][Code][Project][Survey]

LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Dataset

Zhaojie Fang, Xiao Yu, Guanyu Zhou, Ke Zhuang, Yifei Chen, Ruiquan Ge*, Changmiao Wang*, and Ahmed Elazab.

Expert Systems with Applications 270 (2025): 126471. （中科院一区TOP期刊, IF = 7.5, JCR Q1）

[Paper][Code]

ICH-PRNet: A Cross-modal Intracerebral Haemorrhage Prognostic Prediction Method Using Joint-attention Interaction Mechanism

Xinlei Yu, Ahmed Elazab, Ruiquan Ge*, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Qing Wu, Xiang Wan, Lihua Li*, and Changmiao Wang*.

Neural Networks 184 (2025): 107096. （中科院二区TOP期刊, IF = 6.3, JCR Q1）

[Paper][Code-TBD]

InfraFFN: A Feature Fusion Network Leveraging Dual-path Convolution and Self-attention for Infrared Image Super-resolution

Feiwei Qin, Zhengwei Shen, Ruiquan Ge, Kai Zhang*, Fei Lin, Yeru Wang, Juan M. Gorriz, Ahmed Elazab, and Changmiao Wang*.

Knowledge-Based Systems 310 (2025): 112960. （中科院一区TOP期刊, IF = 7.6, JCR Q1）

[Paper][Code]

Lung Adenocarcinoma Subtype Classification Based on Contrastive Learning Model With Multimodal Integration

Changmiao Wang, Lijian Liu, Chenchen Fan, Yongquan Zhang, Zhijun Mai, Li Li, Zhou Liu, Yuan Tian, Jiahang Hu, and Ahmed Elazab.

Scientific Reports 15, no. 1 (2025): 30404.（中科院三区, IF = 3.9, JCR Q1）

[Paper][Code]

FedVC: Virtual Clients for Federated Autonomous Driving With Imbalanced Label Distribution

Yongquan Zhang, Hongda Chen, Zhihui Wang*, Rahul Kumar, and Changmiao Wang*.

IEEE Transactions on Consumer Electronics (2025).（中科院二区, IF = 10.9, JCR Q1）

[Paper][Code]

CRISP-SAM2: Sam2 With Cross-modal Interaction and Semantic Prompting for Multi-organ Segmentation

Xinlei Yu, Changmiao Wang*, Hui Jin, Ahmed Elazab, Gangyong Jia, Xiang Wan, Changqing Zou, and Ruiquan Ge*.

ACM MM 2025. (国际多媒体顶会，CCF A)

[Paper][Code]

Drawing2CAD: Sequence-to-Sequence Learning for CAD Generation from Vectorized Drawings

Feiwei Qin, Shichao Lu, Junhao Hou, Changmiao Wang, Meie Fang, and Ligang Liu.

ACM MM 2025. (国际多媒体顶会，CCF A)

[Paper][Code]

GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images

Yifei Sun, Zhanghao Chen, Hao Zheng, Yuqing Lu, Lixin Duan, Fenglei Fan, Ahmed Elazab, Xiang Wan, Changmiao Wang*, and Ruiquan Ge*.

MICCAI 2025. (国际医疗影像顶会，CCF B)

[Paper][Code][Project][Survey]

Bridging the Gap in Missing Modalities: Leveraging Knowledge Distillation and Style Matching for Brain Tumor Segmentation

Shenghao Zhu, Yifei Chen, Weihong Chen, Yuanhan Wang, Chang Liu, Shuo Jiang, Feiwei Qin*, and Changmiao Wang*.

MICCAI 2025. (国际医疗影像顶会，CCF B)

[Paper][Code]

Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification

Jianxun Yu, Ruiquan Ge, Zhipeng Wang, Cheng Yang, Chenyu Lin, Xianjun Fu, Jikui Liu, Ahmed Elazab, and Changmiao Wang.

MICCAI 2025. (国际医疗影像顶会，CCF B)

[Paper][Code]

Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans

Chenchen Fan, Ahmed Elazab, Songqi Zhang, Yuxuan Wang, Qinghua Liang, Danna Li, Yongquan Zhang*, Ying Xiang, Bo Liu, Changmiao Wang*.

MICCAI 2025. (国际医疗影像顶会，CCF B)

[Paper][Code]

Endo-GSMT: Endoscopic Monocular Scene Reconstruction with Dynamic Gaussian Splatting and Motion Tracking

Hao Gou#, Changmiao Wang#, Jiahao Yang, Yaoqun Liu, Fucang Jia, Deqiang Xiao, Feiwei Qin, Huoling Luo.

MICCAI 2025. (国际医疗影像顶会，CCF B)

[Paper][Code]

MT-WilmsNet: A Multi-Level Transformer Fusion Network for Wilms' Tumor Segmentation and Metastasis Prediction

Zhu Zhu, Wenjing Yu, Xiaohui Ma, Shuai Liu, Jie Dong, Yuxin Du, Changmiao Wang*, and Gang Yu*.

MICCAI 2025. (国际医疗影像顶会，CCF B)

[Paper][Code]

Inferring Super-Resolved Gene Expression by Integrating Histology Images and Spatial Transcriptomics with HISTEX

Shuailin Xue, Changmiao Wang, Xiaomao Fan and Wenwen Min*.

MICCAI 2025. (国际医疗影像顶会，Top 9%, CCF B, 2025 MICCAI Best Computational Pathology Paper Award 🏆)

[Paper][Code]
/*2024*/

UWAFA-GAN: Ultra-wide-angle Fluorescein Angiography Transformation Via Multi-scale Generation and Registration Enhancement

Ruiquan Ge, Zhaojie Fang, Pengxue Wei, Zhanghao Chen, Hongyang Jiang, Ahmed Elazab, Wangting Li, Xiang Wan, Shaochong Zhang*, and Changmiao Wang*.

IEEE Journal of Biomedical and Health Informatics 28, no. 8 (2024): 4820-4829. （中科院二区TOP期刊, IF = 6.8, JCR Q1）

[Paper][Code]

Accurate Leukocyte Detection Based on Deformable-DETR and Multi-level Feature Fusion for Aiding Diagnosis of Blood Diseases

Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin*, Yong Peng, Yu Gao.

Computers in Biology and Medicine 170 (2024): 107917. (中科院二区，高被引📈和热点🔥, IF = 6.3, JCR Q1)

[Paper][Code]

Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation

Xiang Li, Huihui Fang, Changmiao Wang, Mingsi Liu, Lixin Duan, and Yanwu Xu.

In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 146-156. Cham: Springer Nature Switzerland, 2024. (国际医疗影像顶会，CCF B)

[Paper][Code]

ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using Clip-guided Sam Mechanism

Xinlei Yu, Ahmed Elazab, Ruiquan Ge*, Hui Jin, Xinchen Jiang, Gangyong Jia, Qing Wu, Qinglei Shi, and Changmiao Wang*.

In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2795-2800. IEEE, 2024. (CCF B)

[Paper]

CCLNet: Causal and Contrastive Learning Framework for Enhanced Pulmonary Embolism Detection

Zhipeng Wang, Ruiquan Ge*, Jianxun Yu, Feiwei Qin, Yuan Tian, Nannan Li, Wenwen Min, Ahmed Elazab, and Changmiao Wang*.

In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2591-2596. IEEE, 2024. (CCF B)

[Paper][Code]
/*2023*/

MPSurv: End-to-End Multi-model Pseudo-Label Model for Brain Tumor Survival Prediction with Population Information Integration

Qingsong Wang, Xin Lin, Ruiquan Ge*, Ahmed Elazab, Xiangyang Hu, Jionghao Cheng, Yuqing Peng, Xiang Wan, and Changmiao Wang*.

In International Workshop on Computational Mathematics Modeling in Cancer Analysis, pp. 120-130. Cham: Springer Nature Switzerland, 2023. (MICCAI Workshop CMMCA 2023 Best Paper Award 🏆)

[Paper][Code]

UWAT-GAN: Fundus Fluorescein Angiography Synthesis Via Ultra-wide-angle Transformation Multi-scale Gan

Zhaojie Fang, Zhanghao Chen, Pengxue Wei, Wangting Li, Shaochong Zhang, Ahmed Elazab, Gangyong Jia, Ruiquan Ge*, and Changmiao Wang*.

In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 745-755. Cham: Springer Nature Switzerland, 2023. (Early Accepted, 国际医疗影像顶会，CCF B)

[Paper][Code]
 
Honors & Awards [Top]
  • 2025 年荣获 2025 MICCAI Best Computational Pathology Paper Award 🏆
  • 2024 年获 香港中文大学（深圳）“鹏城孔雀计划” 特聘岗位
  • 2023 年荣获 MICCAI Workshop CMMCA 2023 Best Paper Award 🏆
  • 2020 年获 深圳市龙岗区“深龙英才”
  • 广东省“珠江人才计划” 创新团队 “数据驱动的未来智能网络演进” 技术骨干
Professionals [Top]
  • MIIS 2022 Session Chair
  • ICASSP Shenzhen 2022 Session Chair
  • 中国计算机学会（CCF）会员
  • 中国图象图形学学会（CSIG）学会会员
  • 中国医疗保健国际交流促进会健康数据与数字医学分会委员，2024年-至今
  • 中国工业与应用数学学会大数据与人工智能专业委员会委员，2025-至今
  • 广东省生物医学工程学会智能医学影像分会委员
🏅Research Fund[Top]
  • 广东省科学技术厅，广东省基础与应用基础研究基金，面上项目， 2025A151501617，基于多模态临床信息融合的时空动态演进建模及脑出血风险预测研究， 2025-10-01至2027-12-31， 10万， 在研，主持。
  • 广西省科学技术厅，广西省重点研发计划， XXXXXX，间质性肺炎人工智能辅助诊断和预测大模型的研究与示范性应用， 2025-10-01至2026-09-30， 217万， 在研，子课题负责人（69.44万）。
  • 绵阳市科技局，中央引导地方科技发展资金项目，区域创新体系建设—人工智能， XXXXXX，基于人工智能和大模型的肺癌文书自动生成研究， 2025-8-01至2026-07-31， 100万， 在研，子课题负责人（30万）。
  • 广东省科学技术厅，广东省基础与应用基础研究基金，青年项目， 2022A1515110570，基于连续时间序列的早期肺腺癌亚型定性分析研究， 2022-10-01至2025-09-30， 10万， 在研，主持。
  • 山东省教育厅，山东省高等学校“青创科技支持计划”，医疗便捷机器人技术创新团队-紫外脉冲强光消毒移动机器人， 2021-12-28至2024-12-27， 50万， 结题，主持。
  • 深圳市人力资源和社会保障局，深圳市博士后留深科研资助，视觉医疗影像分析， 2020-09-01至2023-08-31， 30万， 结题，主持。
  • 国家科技部，国家重点研发计划 “宽带通信和新型网络”重点专项， 基于数据驱动和人工智能的未来新型网络演进，2018YFB1800800， 2019.07-2023.06， 4397万， 结题，参与。
  • 广东省科学技术厅，广东省重点研发计划，类脑智能关键技术及系统研究， 2018B030338001， 2019.01-2021.12， 3200万， 结题，参与。
  • 国家自然科学基金委员会，面上项目，61671440， 基于磁敏感加权图像和弥散加权成像的超急性期缺血性脑卒中影像分析研究， 2017.01-2020.12， 58万元， 结题，参与。
  • 国家自然科学基金委员会，面上项目，61672510， 个性化颅内动脉瘤介入手术模拟关键问题研究， 2017.01-2020.12， 63万元， 结题，参与。
  • 国家自然科学基金委员会，面上项目，81771927， 左心房流体力学变化介导的心房结构重构在心房纤颤的发生与发展作用及机制， 2018.01-2021.12， 50万元， 结题，参与。
  • 国家自然科学基金委员会，面上项目，72171156， 基于分布鲁棒优化和服务水平目标导向的库存-路径决策优化研究， 2022-01-01至2025-12-31， 48万元， 在研，参与。
 
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