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Guodong Du 杜国栋
School of Information Science and Engineering
No. 438 West Hebei Avenue, Qinhuangdao, Hebei 066004, P. R. China
Email: duguodong189 [at] 163.com or gddu [at] ysu.edu.cn
【Linkedin】 【Chinese Resume 】【Google Scholar】
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Biography
| Guodong Du was born in Qufu, Shandong Province, China, the hometown of Confucius. He is currently a lecturer at the School of Information Science and Engineering, Yanshan University, China. He received the Ph.D. degree from the Intelligent Multimedia Technology (IMT) Lab at the Xiamen University, under the supervision of Prof. Shaozi Li. 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, Pattern Recognition, 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 Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 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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Semi-supervised Imbalanced Multi-label Classification with Label Propagation
Guodong Du, Jia Zhang, Ning Zhang, Hanrui Wu, Peiliang Wu & Shaozi Li. Pattern Recognition, 2024, 150:110358 |
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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, 2023, 34(9):6081-6095 |
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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, 176:114791 |
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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, 420:27-35 |
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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, 200:106020 |
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Consistent and Specific Multi-view Multi-label Learning with Correlation Information
Yiting Li, Jia Zhang, Hanrui Wu, Guodong Du & Jinyi Long. Information Sciences, 2024, accepted. |
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UniGrad-FS: Unified Gradient Projection with Flatter Sharpness for Continual Learning
Wei Li, Tao Feng, Hangjie Yuan, Ang Bian, Guodong Du, Sixin Liang, Jianhong Gan & Ziwei Liu. IEEE Transactions on Industrial Informatics, 2024, accepted, DOI:10.1109/TII.2024.3435499. |
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Learning to Cluster Person via Graph Convolution Networks for Video-based Person Re-identification
Wei Li, Tao Feng, Guodong Du, Sixin Liang & Ang Bian. Concurrency and Computation: Practice and Experience, 2024, 36(17):e8138. |
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Hospital Readmission Prediction with Hybrid-sampling and Self-paced Balance Learning
Ying Xu, Ning Zhang, Ao Wang, Tao Feng & Guodong Du. Concurrency and Computation: Practice and Experience, 2024, early access. |
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Learning to Cluster Person in the Video via Graph Convolution Network
Wei Li, Sixin Liang, Ang Bian & Guodong Du. The 13th International Conference on Information Technology in Medicine and Education (ITME 2023) |
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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, 2023, 53:301–311. |
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Leveraging Autoencoder and Focal Loss for Imbalanced Data Classification
Ying Xu, Han Ye, Ning Zhang & Guodong Du. The 12th International Conference on Information Technology in Medicine and Education (ITME 2022) |
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Feature Generation Model for Imbalanced Classification Problems
Han Ye, Guodong Du & Shaozi Li. The 12th International Conference on Information Technology in Medicine and Education (ITME 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, 106:103435 |
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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, 32(22):e5864 |
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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, 2020:9081641 |
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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, 41(11):2354-2358 |
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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, 54(3):250-254 |
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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, 43(5):373-379 |
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
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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
Teaching
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Discrete Mathematics (Yanshan University), Course for Undergraduate Students, 2024.03-2024.06 Principles of Computer Composition (Yanshan University), Course for Undergraduate Students, 2023.09-2024.01 Computer Vision (Xiamen University), Course for Graduate Students (Teaching Assistant), 2019.09-2020.01 |
Awards and Honors
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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
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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, Tsinghua University, China Dr. Lei Li, Hebei Normal University, China Dr. Sheng Lian, Fuzhou University, China Dr. Chengji Wang, Central China Normal University, China Dr. Fengxiang Yang, Vivo Communication Technology Co. Ltd, China |
Some Useful Links
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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 本科生如何做出好的科研 by Minlie Huang (黄民烈教授) 【跨学科】学术论文中你不知道的“双十一” 研究生选题 如何做优秀研究、写高水平论文？ by Zhihua Zhou (周志华教授) |
Last update: April 1, 2023. Webpage template borrows from Xiangnan He and Weinan Zhang .