马锦华

所属研究所、院系: 
智能科学与技术研究所
职称: 
副教授
E-mail: 
majh8@mail.sysu.edu.cn
办公地点: 
广州大学城外环东路132号
教师简介: 

硕士生导师,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;以第一作者身份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等)和国际权威会议(如ICCV,ECCV等)发表论文多篇,在医学领域的国际权威期刊(如Alimentary Pharmacology & Therapeutics,Critical Care Medicine)发表论文;协助合作导师指导研究生多名,以第二作者身份发表文章多篇。

合作导师:赖剑煌教授(中山大学)、郑伟诗教授(中山大学)、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

研究领域: 

1. 机器学习(分类器/特征融合、迁移学习、半/弱监督学习、深度学习等);2. 计算机视觉(智能视频监控、行为识别、行人再识别等);3. 医疗大数据分析(缺失数据处理、时间序列分析、肝病诊断预测模型等)

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

科研项目: 

中山大学“百人计划”科研启动项目(67000-18821116),2017-2019,主持

美国Gordon and Betty Moore科研项目,“High-Fidelity Data-Driven Quality Improvement”,2013-2015,参与

中国香港General Research Fund,“Weakly Supervised Domain Adaptation for Video Surveillance in Large-scale Camera Networks”,2014-2017,参与

中国香港General Research Fund,“Robust Information Fusion and its Applications in Video Surveillance”,2013-2016,参与

中国国家自然科学基金-广东联合基金,面向视频监控的生物特征识别关键理论与技术研究,2009-2012,参与

中国国家自然科学基金-面上项目,超低分辨率人脸识别,2012-2015,参与

主要学术兼职: 

杂志副主编:Journal of Electronic Imaging (SCI杂志)

杂志审稿人:IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics, IEEE Transactions on Information Forensics and Security, Pattern Recognition, IEEE Transactions on Human-Machine Systems, etc.

代表性论著: 

(详情请浏览个人主页:http://isee.sysu.edu.cn/~majh/

1. 期刊论文:

  1. Terry CF Yip1, Andy J Ma1, Vincent WS Wong, YK Tse, Henry LY Chan, Pong-Chi Yuen, and Grace LH Wong. 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.
  2. Andy J Ma1, Nishi Rawat1, Austin Reiter, Christine Shrock, Alex Stone, Andong Zhan, Anahita Rabiee, Stephanie Griffin, Dale Needham, and Suchi Saria. Non-Invasive Sensor for Automatic Patient Mobility Measurement. Critical Care Medicine, vol. 45, no. 4, pp. 630-636, 2017.
  3. Xiangyuan Lan, Andy J Ma, Pong C Yuen, and Rama Chellappa. Joint sparse representation and robust feature-level fusion for multi-cue visual tracking. IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5826-5841, 2015.
  4. Andy J Ma, Pong C Yuen, Jiawei Li and Ping Li. Cross-Domain Person Re-identification Using Domain Adaptation Ranking SVMs. IEEE Transactions on Image Processing, vol. 24, no. 5, pp. 1599-1613, 2015.
  5. Andy J Ma, Pong C Yuen. Reduced Analytic Dependency Modeling: Robust Fusion for Visual Recognition. International Journal of Computer Vision, vol. 109, no. 3, pp. 233-251, 2014.
  6. Andy J Ma, Pong C Yuen, Weiwen Zou, and Jian-Huang Lai. Supervised Spatio-Temporal Neighborhood Topology Learning for Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 8, pp. 1447-1460, 2013.
  7. 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, vol. 35, no. 5, pp. 1135-1148, 2013.

2. 会议论文

  1. Baoyao Yang, Andy J Ma, Pong C Yuen. Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation. AAAI Conference on Artificial Intelligence (AAAI-18), 2018
  2. Mang Ye, Andy J Ma, Liang Zheng, Jiawei Li, Pong C Yuen. Dynamic Label Graph Matching for Unsupervised Video Re-Identification. IEEE International Conference on Computer Vision (ICCV-17), 2017.
  3. Austin Reiter, Andy J Ma, Nishi Rawat, Christine Shrock, and Suchi Saria. Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI-16), 2016.
  4. Lan, Xiangyuan, Andy J Ma, and Pong C Yuen. Multi-cue visual tracking using robust feature-level fusion based on joint sparse representation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-14), 2014.
  5. 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-13), 2013.
  6. Andy J Ma and Pong C Yuen. Reduced Analytical Dependency Modeling for Classier Fusion. European Conference on Computer Vision (ECCV-12), 2012.
  7. Andy J Ma and Pong C Yuen. Linear Dependency Modeling for Feature Fusion. IEEE International Conference on Computer Vision (ICCV-11), 2011.