馬錦華(中山大學數據科學與計算機學院副教授)

馬錦華，男，博士，中山大學數據科學與計算機學院副教授、碩士生導師。博士畢業於香港浸會大學，曾於美國羅格斯大學和美國約翰霍普金斯大學（世界綜合大學排名前20）進行博士後科研工作；以第一作者身份在機器學習與計算機視覺領域的國際權威期刊（如IEEE TPAMI，IJCV，IEEE TIP等）和國際權威會議（如ICCV，ECCV等）發表論文多篇，在醫學領域的國際權威期刊（如Alimentary Pharmacology & Therapeutics，Critical Care Medicine）發表論文；協助合作導師指導研究生多名，以第二作者身份發表文章多篇。

基本介紹

• 中文名：馬錦華
• 畢業院校：香港浸會大學
• 學位/學歷：博士
• 專業方向：機器學習等
• 任職院校：中山大學

研究領域

1.機器學習（分類器/特徵融合、遷移學習、半/弱監督學習、深度學習等）；2.計算機視覺（智慧型視頻監控、行為識別、行人再識別等）；3. 醫療大數據分析（缺失數據處理、時間序列分析、肝病診斷預測模型等）

人物經歷

教育背景

2009.9-2013.11，香港浸會大學，計算機科學系，博士

2007.9-2009.7，中山大學，數學與計算科學學院套用數學系，碩士

2003.9-2007.7，中山大學，數學與計算科學學院數學與套用數學系，學士

工作經歷

2017.8至今，中山大學，數據科學與計算機學院，副教授

海外經歷

2016.1-2017.7，香港浸會大學，計算機科學系，博士後

2014.5-2015.12，美國約翰霍普金斯大學（世界綜合大學排名前20），計算機科學系，博士後

2013.12-2014.4，美國羅格斯大學，統計與生物統計學系，博士後

科研項目

中山大學“百人計畫”科研啟動項目(67000-18821116)，2017-2019，主持

美國Gordon and Betty Moore科研項目，“High-Fidelity Data-Driven Quality Improvement”，2013-2015，參與

中國香港General Research Fund，“Weakly Supervised Domain Adaptation for Video Surveillance in Large-scale Camera Networks”，2014-2017，參與

中國香港General Research Fund，“Robust Information Fusion and its Applications in Video Surveillance”，2013-2016，參與

中國國家自然科學基金-廣東聯合基金，面向視頻監控的生物特徵識別關鍵理論與技術研究，2009-2012，參與

中國國家自然科學基金-面上項目，超低解析度人臉識別，2012-2015，參與

學術兼職

雜誌副主編：Journal of Electronic Imaging (SCI雜誌)

雜誌審稿人：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.

教授課程

• Data Mining
  
• Matrix Analysis
  
• Probability and Statistics
  
• Advanced Mathematics
  
• Linear Algebra
  

代表論著

1.期刊論文：

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.會議論文

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 Maand Pong C Yuen. Reduced Analytical Dependency Modeling for Classier Fusion. European Conference on Computer Vision (ECCV-12), 2012.
   
7. Andy J Maand Pong C Yuen. Linear Dependency Modeling for Feature Fusion. IEEE International Conference on Computer Vision (ICCV-11), 2011.