马锦华

教师简介: 

博士生导师，中山大学“百人计划”引进人才

博士毕业于香港浸会大学，曾于美国罗格斯大学和美国约翰霍普金斯大学（世界综合大学排名前20）进行博士后科研工作；在机器学习与计算机视觉领域的国际权威期刊（如IEEE TPAMI，IJCV，IEEE TIP，IEEE TMM，PR等）和国际权威会议（如ICCV，CVPR，ECCV，AAAI，IJCAI，MICCAI等），在医学领域的国际权威期刊（如Alimentary Pharmacology & Therapeutics，Critical Care Medicine）发表论文超过60篇；指导学生以通讯作者身份发表多篇学术论文和多项专利；善于帮助学生提炼创新点，将所提出方法理论化公式化。

海外合作导师：Prof. Pong C Yuen（香港浸会大学）、Prof. Grace L H Wong（香港中文大学）、Prof. Suchi Saria（美国约翰霍普金斯大学）等

本科生科研：长期招收优秀本科生参与科研体验，符合科研助理条件的同学给予生活补贴。特别优秀的学生有机会推荐到海外知名院校交流或深造。（注：欢迎对机器学习、计算机视觉和智能医疗领域充满热情的同学邮件附上成绩单和简历联系，majh8@mail.sysu.edu.cn。）

博士、硕士研究生招生：按学院名额规定招收博士、学硕（计算机科学与技术）和专硕学生（专业不限），每名学生（不论博士、学硕或专硕）都由本人亲自指导且给予生活补贴。特别优秀的学生有机会推荐到海外知名院校交流或深造。（注：欢迎对机器学习、计算机视觉和智能医疗领域充满热情的同学邮件附上成绩单和简历联系，majh8@mail.sysu.edu.cn。）

已毕业硕士生：英国帝国理工（卢彦作），新加坡国立（王金鹏），香港浸大（沈萌），港科大广州（林逸淇），腾讯（高远、李璐圆、佘锦文），字节（张曼琳、吴发明、贾晓玉）、华为（胡彦旭、陈培鹏、马阳、潘阳山），阿里云（褚宏伟），建行总行（蔡晨语）、农行广东省分行（彭佳文），五矿（陈嘉昕），TP-LINK（严晓威）， Shopee（陈曦），小马智行（张皓），璟云智能（林罗杰），公务员（朱雪瑜）

研究领域: 

1. 机器学习（自监督/弱监督学习、小样本学习、迁移学习、生成模型、分类器/特征融合、深度学习等）

2. 计算机视觉（智能视频监控、多模态大模型、行为识别、行人重识别、目标检测与分割等）

3. 医学图像处理（疾病分类、病灶分割与定位等）

教育背景: 

2009.9-2013.11，香港浸会大学，计算机科学系，博士

2007.9-2009.7，中山大学，数学与计算科学学院应用数学系，硕士

2003.9-2007.7，中山大学，数学与计算科学学院数学与应用数学系，学士

工作经历: 

2017.8至今，中山大学，数据科学与计算机学院，副教授

海外经历: 

2016.1-2017.7，香港浸会大学，计算机科学系，博士后

2014.5-2015.12，美国约翰霍普金斯大学（世界综合大学排名前20），计算机科学系，博士后

2013.12-2014.4，美国罗格斯大学，统计与生物统计学系，博士后

获奖及荣誉: 

马锦华(7/8)，视觉鲁棒特征提取与非线性分析，广东省自然科学奖，一等奖，2018（赖剑煌; 郑伟诗; 谢晓华; 阮邦志; 王昌栋; 朱俊勇; 马锦华; 黄剑）

科研项目: 

国家自然科学基金-面上项目，2023-2026，主持，在研

广东省自然科学基金-面上项目，2024-2026，主持，在研

国家自然科学基金-联合基金项目，2023-2026，骨干，在研

国家自然科学基金-青年项目，2020-2022，主持，已结题

广东省自然科学基金-面上项目，2020-2022，主持，已结题

广州市科技计划项目，2020-2022，主持，已结题

中山大学“百人计划”科研启动项目，2017-2019，主持，已结题

中国香港General Research Fund，2014-2017，骨干，已结题

美国Gordon and Betty Moore科研项目，2013-2015，骨干，已结题

主要学术兼职: 

期刊副编辑：Journal of Electronic Imaging (SCI期刊)

会议/期刊审稿：IEEE TPAMI, IEEE TIP, IEEE TIFS, IEEE TNNLS, IEEE TCYB, PR, ICCV, CVPR, ECCV, AAAI, MICCAI, etc.

教授课程: 

本科生课程：模式识别、人工智能导论、数据挖掘、概率论与数理统计、高等数学、高等代数

研究生课程：矩阵分析、人工智能与模式识别

代表性论著: 

注：只列举通信作者或第一作者的部分论文（CCF B或以上会议期刊及中科院2区或以上期刊），*通讯作者（指导学生所发表的论文），1共同第一作者，全部论文请浏览Google Scholar

Yaowu Fan, Jia Wan, Tao Han, Antoni B. Chan, Andy J Ma*. Video Individual Counting for Moving Drones. International Conference on Computer Vision (ICCV), 2025. CCF A会议

Yanzuo Lu, Yuxi Ren, Xin Xia, Shanchuan Lin, Xing Wang, Xuefeng Xiao, Andy J Ma*, Xiaohua Xie, Jian-Huang Lai. Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis. International Conference on Computer Vision (ICCV), 2025. CCF A会议

Jiaxin Chen, Jiawen Peng, Yanzuo Lu, Jian-Huang Lai, Andy J Ma*. Vision-Language Adaptive Clustering and Meta-Adaptation for Unsupervised Few-Shot Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology, in press, 2025. [code] 中科院1区、CCF B期刊

Manlin Zhang, Jie Wu, Yuxi Ren, Jiahong Yang, Ming Li, Andy J Ma*. Diffusionengine: Diffusion model is scalable data engine for object detection. IEEE Transactions on Circuits and Systems for Video Technology, vol. 171, pp. 112141, 2025. 中科院1区、CCF B期刊

Kaiyan Cao, Jiawen Peng, Jiaxin Chen, Xinyuan Hou, Andy J Ma*. Adversarial Style Mixup and Improved Temporal Alignment for Cross-Domain Few-Shot Action Recognition. Computer Vision and Image Understanding, vol. 255, pp. 104341, 2025. CCF B期刊

Jiawen Peng, Jiaxin Chen, Rong Pan, Andy J Ma*. Language-guided Alignment and Distillation for Source-free Domain Adaptation. Neurocomputing, in press, 2025. 中科院2区期刊

Yanzuo Lu, Manlin Zhang, Andy J Ma*, Xiaohua Xie, Jian-Huang Lai. Coarse-to-fine latent diffusion for pose-guided person image synthesis. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [code] CCF A会议

Yanzuo Lu, Meng Shen, Andy J Ma*, Xiaohua Xie, Jian-Huang Lai. MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation. AAAI Conference on Artificial Intelligence (AAAI), 2024. [code] CCF A会议

Jianjun He, Chenyu Cai, Qiong Li, and Andy J Ma*. Pair Shuffle Consistency for Semi-supervised Medical Image Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. CCF B会议

Jinwen She, Qiong Li, and Andy J Ma*. Memory-Guided Contrastive and Triplet Separation for Weakly-Supervised Disease Detection. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. CCF B会议

Meng Shen, Yanzuo Lu, Yanxu Hu, Andy J Ma*. Collaborative Learning of Diverse Experts for Source-free Universal Domain Adaptation. ACM International Conference on Multimedia (ACM MM), 2023. CCF A会议（帮助学生重写方法部分，并提出流程图的修改建议）

Hao Zhang, Yanxu Hu, Jiawen Peng, Andy J Ma*. Discriminative Gradient Adjustment with Coupled Knowledge Distillation for Class Incremental Learning. IEEE International Conference on Multimedia and Expo (ICME), 2023. CCF B会议

Jiaxin Chen, Yanxu Hu, Meng Shen, Andy J Ma*. Dual Episodic Sampling and Momentum Consistency Regularization for Unsupervised Few-shot Learning. IEEE International Conference on Multimedia and Expo (ICME), 2023. CCF B会议

Meng Shen, Andy J Ma*, Pong C Yuen. E2: Entropy Discrimination and Energy Optimization for Source-free Universal Domain Adaptation. IEEE International Conference on Multimedia and Expo (ICME), 2023. CCF B会议

Manlin Zhang1, Jinpeng Wang1, Andy J Ma1*. Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning. AAAI Conference on Artificial Intelligence (AAAI), 2022. [code] CCF A会议（帮助学生利用条件概率重写方法部分，并修改整篇论文）

Yanxu Hu, Andy J Ma*. Adversarial Feature Augmentation for Cross-domain Few-shot Classification. European Conference on Computer Vision​ (ECCV), 2022. [code] CV顶会、CCF B会议

Yuan Gao, Peipeng Chen, Yue Gao, Jinpeng Wang, YoungSun Pan, Andy J Ma*. Hierarchical feature disentangling network for universal domain adaptation. Pattern Recognition, in press, 2022. 中科院计算机科学1区、CCF B期刊论文

Peipeng Chen, Andy J Ma*. Source-free Temporal Attentive Domain Adaptation for Video Action Recognition. International Conference on Multimedia Retrieval (ICMR), 2022. CCF B会议

Faming Wu, Yanxu Hu, Jinpeng Wang, Andy J Ma*. Learning to Mitigate Extreme Distribution Bias for Few-shot Object Detection. IEEE International Conference on Multimedia and Expo (ICME), 2022. CCF B会议

Yanxu Hu, Faming Wu, Jinpeng Wang, Andy J Ma*. Region-interactive Proposal Network and Class-interactive Feature Learning for Few-shot Object Detection. IEEE International Conference on Multimedia and Expo (ICME), 2022. CCF B会议

Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J Ma*, et al. Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. CCF A会议

Yiqi Lin, Jinpeng Wang, Manlin Zhang, Andy J Ma*. Learning Spatio-temporal Representation by Channel Aliasing Video Perception. ACM International Conference on Multimedia (ACM MM), 2021. CCF A会议

Jinpeng Wang, Yiqi Lin, Manlin Zhang, Yuan Gao, Andy J Ma*. Multi-level Temporal Dilated Dense Prediction for Action Recognition. IEEE Transactions on Multimedia, 2021, in press. 中科院计算机科学1区、CCF B期刊论文

Xi Chen, Andy J Ma*, et al. Improving Weakly Supervised Object Localization by Uncertainty Estimation of pseudo supervision. IEEE International Conference on Multimedia and Expo (ICME), 2021. CCF B会议

Yuan Gao, Andy J Ma*, et al. Adversarial open set domain adaptation via progressive selection of transferable target samples. Neurocomputing, vol. 49, pp. 174-184, 2020. 中科院2区期刊

Andy J Ma, Jacky CP Chan, et al. Temporal matrix completion with locally linear latent factors for medical applications. Artificial Intelligence in Medicine, vol. 49, pp. 101883, 2020. 中科院2区期刊

Faming Wu, Andy J Ma*, et al. Receptive Field Pyramid Network for Object Detection. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. CCF B会议

Grace LH Wong1, Andy J Ma1, et al. Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding. Alimentary Pharmacology & Therapeutics, vol. 49, no. 7, pp. 912-918, 2019. 中科院1区期刊

Terry CF Yip1, Andy J Ma1, et al. Laboratory parameter-based machine learning model for non-alcoholic fatty liver disease (NAFLD) in the general population. Alimentary Pharmacology & Therapeutics, vol. 46, no. 5, pp. 560-561, 2017. 中科院1区期刊

Andy J Ma1, Nishi Rawat1, et al. Non-Invasive Sensor for Automatic Patient Mobility Measurement. Critical Care Medicine, vol. 45, no. 4, pp. 630-636, 2017. 中科院1区期刊

Andy J Ma, Pong C Yuen, et al. Cross-Domain Person Re-identification Using Domain Adaptation Ranking SVMs. IEEE Transactions on Image Processing (IEEE TIP), vol. 24, no. 5, pp. 1599-1613, 2015. 中科院1区、CCF A期刊

Andy J Ma, Pong C Yuen. Reduced Analytic Dependency Modeling: Robust Fusion for Visual Recognition. International Journal of Computer Vision (IJCV), vol. 109, no. 3, pp. 233-251, 2014. 中科院1区、CCF A期刊

Andy J Ma, Pong C Yuen, and Jian-Huang Lai. Linear Dependency Modeling for Classifier Fusion and Feature Combination. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), vol. 35, no. 5, pp. 1135-1148, 2013. 中科院1区、CCF A期刊

Andy J Ma, Pong C Yuen, et al. Supervised Spatio-Temporal Neighborhood Topology Learning for Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), vol. 23, no. 8, pp. 1447-1460, 2013. 中科院2区、CCF B期刊

Andy J Ma, Pong C Yuen, and Jiawei Li. Domain Transfer Support Vector Ranking for Person Re-Identification without Target Camera Label Information. IEEE International Conference on Computer Vision (ICCV), 2013. CCF A会议

Andy J Ma and Pong C Yuen. Reduced Analytical Dependency Modeling for Classier Fusion. European Conference on Computer Vision (ECCV), 2012. CCF B会议

Andy J Ma and Pong C Yuen. Linear Dependency Modeling for Feature Fusion. IEEE International Conference on Computer Vision (ICCV), 2011. CCF A会议