Guodong Du

杜国栋

Intelligent Multimedia Technology(IMT) Lab
Department of Artificial Intelligence
School of Informatics
Xiamen University

Email: duguodong189 [at] 163.com or duguodong [at] stu.xmu.edu.cn

Linkedin: https://www.linkedin.com/in/gordondoo/

Biography

Guodong Du was born in Qufu, Shandong Province, China, the hometown of Confucius. He is currently a final-year Ph.D student in the Intelligent Multimedia Technology (IMT) Lab at the Xiamen University, under the supervision of Prof. Shaozi Li. He received the M.S. Degree in Computer Technique in 2018 from Kunming University of Science and Technology, Kunming, China. His research interests mainly focus on data mining, machine learning and its applications in healthcare. To be more specific, he is interested in multi-label learning, data fusion, feature selection, class-imbalance learning and decision systems. He have published several papers on top-tier journals such as IEEE Transactions on Neural Networks and Learning Systems, Expert Systems with Applications, Knowledge-Based Systems and Journal of Biomedical Informatics. He is on the conference program committee of IEEE World Congress on Computational Intelligence (WCCI), IEEE International Conference on Bioinformatics and Biomedicine (BIBM), International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP). He also served as Reviewer for many international journals, such as IEEE Transactions on Neural Networks and Learning Systems, Information Sciences, Briefings in Bioinformatics, Artificial Intelligence Review, Neural Networks, IEEE Journal of Biomedical and Health Informatics, International Journal of Intelligent Systems and Applied Intelligence. Meanwhile, he have participated all the way in many medical data mining projects' applications and research. In addition, he receive Scholarship Awardee selected by China Scholarship Council (CSC), ACM SIGKDD 2020 & 2021 Student Registration Award and NeurIPS 2020 & 2021 Financial Assisance Award.

Publications


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Graph-based Class-imbalance Learning with Label Enhancement
Guodong Du, Jia Zhang, Min Jiang, Jinyi Long, Yaojin Lin, Shaozi Li & Kay Chen Tan.
IEEE Transactions on Neural Networks and Learning Systems 2022  

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Towards Graph-based Class-imbalance Learning for Hospital Readmission
Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin & Shaozi Li.
Expert Systems with Applications 2021  

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Learning from Class-imbalance and Heterogeneous Data for 30-day Hospital Readmission
Guodong Du, Jia Zhang, Shaozi Li & Candong Li.
Neurocomputing 2021   

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Joint Imbalanced Classification and Feature Selection for Hospital Readmissions
Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma & Shaozi Li.
Knowledge-Based Systems 2020   

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KSCB: a novel unsupervised method for text sentiment analysis
Weili Jiang, Kangneng Zhou, Chenchen Xiong, Guodong Du, Chubin Ou & Junpeng Zhang.
Applied Intelligence 2022  

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Keyword-based Data Augmentation Guided Chinese Medical Questions Classification
Xinghao Xu, Rong Hu, Guodong Du, Yan Xiang & Lei Ma.
The 11th International Conference on Information Technology in Medicine and Education (ITME 2021)   

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Towards Chinese Clinical Named Entity Recognition by Dynamic Embedding using Domain-specific Knowledge
Yuan Li, Guodong Du, Yan Xiang, Shaozi Li, Lei Ma, Dangguo Shao, Xiongbin Wang & Haoyu Chen.
Journal of Biomedical Informatics 2020   

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Joint Multi-label Classification and Feature Selection Based on Deep Canonical Correlation Analysis
Liang Dai, Guodong Du, Jia Zhang, Candong Li, Rong Wei & Shaozi Li.
Concurrency and Computation: Practice and Experience 2020   

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A Microcosmic Syndrome Differentiation Model for Metabolic Syndrome with Multilabel Learning
Shujie Xia, Jia Zhang, Guodong Du, Shaozi Li, Chi Teng Vong, Zhaoyang Yang, Jiliang Xin, Long Zhu, Bizhen Gao & Candong Li.
Evidence-Based Complementary and Alternative Medicine 2020   

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Multi-feature Dynamic Weighted Graph Convolution Network [in Chinese]
Zhihao Yang, Weili Jiang, Guodong Du, Yan Xiang, Lei Ma, Dangguo Shao & Jialin Yang.
Journal of Chinese Computer Systems (小型微型计算机系统) 2020   

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Prediction of 30-Day Readmission: An Improved Gradient Boosting Decision Tree Approach
Guodong Du, Lei Ma, Jin-Shan Hu, Junpeng Zhang, Yan Xiang, Dangguo Shao & Hongbin Wang.
Journal of Medical Imaging and Health Informatics 2019   

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Brief Modeling Study of OSAHS Patients Screening from Snoring Persons Based on ROSE and C5.0 Algorithm [in Chinese]
Guodong Du, Yunhui Lv, Lei Ma, Yan Xiang, Dangguo Shao, Qiang Lei & Rong Hu.
Computer Engineering and Applications (计算机工程与应用) 2018   

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Effects of Continuous Positive Airway Pressure on Blood Pressure in Patients with Resistant Hypertension and Obstructive Sleep Apnea: a Systematic Review and Meta-analysis of Six Randomized Controlled Trials
Qiang Lei, Yunhui Lv, Kai Li, Lei Ma, Guodong Du, Yan Xiang & Xuqing Li.
Jornal Brasileiro de Pneumologia 2017  

Fundings

National Natural Science Foundation of China (NSFC No. 61702069), Project Member (Rank 3rd), 2018-2020

Chinese Patents

Lei Ma & Guodong Du, A Method of Processing Class-imbalance Medical Data, CN 201810198315.X (Under Verification).

Chinese Softwares

Guodong Du, Lei Ma, Yan Xiang, Shihong Yang & Peng Li, Open Laboratory Management System V1.0, 2016SR187713.

Yan Xiang, Peng Gui, Dangguo Shao & Guodong Du, Data Acquisition and Analysis System for CPAP V1.0, 2016R11L011117

Academic Service

Invited Reviewer for IEEE Transactions on Neural Networks and Learning Systems

Invited Reviewer for Information Sciences

Invited Reviewer for Briefings in Bioinformatics

Invited Reviewer for International Journal of Intelligent Systems

Invited Reviewer for Expert Systems with Applications

Invited Reviewer for Neural Networks

Invited Reviewer for Artificial Intelligence Review

Invited Reviewer for Knowledge-Based Systems

Invited Reviewer for IEEE Journal of Biomedical and Health Informatics

Invited Reviewer for Journal of Biomedical Informatics

Invited Reviewer for Computers in Biology and Medicine

Invited Reviewer for Applied Intelligence

Invited Reviewer for International Journal of Machine Learning and Cybernetics

Invited Reviewer for Neural Processing Letters

Invited Reviewer for Soft Computing

Invited Reviewer for Network Modeling Analysis in Health Informatics and Bioinformatics

Invited Serviced as IEEE BIBM 2022 Program Committee Member

Invited Serviced as IEEE WCCI 2022 Program Committee Member

Invited Reviewer for MICCAI 2022

Invited Serviced as IEEE BIBM 2021 Program Committee Member

Invited Serviced as ICA3PP 2021 Program Committee Member

Invited Serviced as ACM SIGKDD 2021 Volunteer

Invited Serviced as NeurIPS 2020 Volunteer

Invited Serviced as ACM SIGKDD 2020 Volunteer

Invited Participate in Summer School on Visualization and Visual Analytics

Teaching Assistant

Computer Vision (Xiamen University) Course for Graduate Students (Instructor: Prof. Shaozi Li & Songzhi Su), 2019.09-2020.01

Awards and Honors

First Prize of Pan Maoyuan Scholarship, 2022

NeurIPS 2021 Financial Assisance Award, 2021

ACM SIGKDD 2021 Student Registration Award, 2021

MICCAI 2021 Student Participation Award, 2021

Scholarship Awardee selected by China Scholarship Council (CSC), 2020

NeurIPS 2020 Financial Assisance Award, 2020

ACM SIGKDD 2020 Student Registration Award, 2020

Outstanding Winner of 1st Innovation & Entrepreneurship Contest For PhD Candiadates of CMS, 2019

National Graduate Scholarship, 2018

Outstanding Winner of Global Mathematical Modeling Certificate Contest, 2016

National Scholarships, 2012

Second Prize of National Mathematical Modeling Competition, 2011

Co-authors and Friends

Dr. Jia Zhang, Jinan University, China

Prof. Fenglong Ma, Pennsylvania State University, USA

Prof. Junpeng Zhang, Dali University, China

Prof. Min Jiang, Xiamen University, China

Prof. Kay Chen Tan, Hong Kong Polytechnic University, Hong Kong SAR, China

Prof. Yaojin Lin, Minnan Normal University, China

Dr. Tung On Yau, Nottingham Trent University,UK

Dr. Tao Feng, Sichuan University, China

Dr. Lei Li, Xiamen University, China

Dr. Sheng Lian, Xiamen University, China

Some Useful Links

A PhD Is Not Enough: A Guide To Survival In Science by Peter J. Feibelman

Writing for Impact: How to Prepare a Journal Article by Andrew M. Ibrahim

Graph Representation Learning Book by Will Hamilton

CS Journal/Conference Ranking List by China Computer Federation

Tips for Writing Technical Papers by Jennifer Widom

Some Writing Tips for Scientific Papers by Andrew Hendry

Pattern Recognition and Machine Learning by Chris Bishop

A Course in Machine Learning by Hal Daume III

Last update: April 1, 2022. Webpage template borrows from Xiangnan He, Weinan Zhang and Xiaoyu Du .