Professional Title / Position：Associate Professor


Research Direction：Machine learning algorithms and applications, Computer image recognition


Team：Machine learning and Data Mining


Email：csqchen@scut.edu.cn


 Biography：

 Chen Qiong, is a senior member of the China Computer Federation (CCF) and a Member of the Chinese Association for Artificial Intelligence (CAAI). She leads the development of Discrete Mathematics —a course recognized as both a "First-Class Undergraduate Course of Guangdong Province" and a "National First-Class Undergraduate Course (Online-Offline Hybrid Mode)".

 She has presided over projects under the Ministry of Education’s "Industry-University Cooperation for Collaborative Education Program", the "Guangdong Provincial Online Open Course Development Project", and the "Higher Education Teaching & Research Project for Universities in the Guangdong-Hong Kong-Macao Greater Bay Area". Additionally, he/she has contributed to numerous research programs, including those funded by the National Natural Science Foundation of China, the Guangdong Natural Science Foundation, and the Guangdong Science and Technology Research Initiative. She also led the development of the Discrete Mathematics Massive Open Online Course (MOOC).

 Her research focuses on machine learning algorithms and applications, as well as computer image recognition—with specific expertise in image recognition and semantic segmentation under challenging scenarios such as imbalanced distribution, long-tailed distribution, few-shot learning, and zero-shot learning. He/She has published over 50 academic papers in renowned domestic and international journals and top conferences, obtained 8 authorized national invention patents, and 5 software copyrights. She has also edited and published 2 textbooks and was selected into the "Excellent Teacher Award Program for University Computer Majors".



 Education：

 1997/09 - 2001/06，South China University of Technology, PhD

 1987/09 - 1990/06，Harbin Engineering University，Master

 1983/09 - 1987/07，Beijing Institute of Technology ，Bachelor

 Work Experience：

 1994/1 – Present: Associate Professor, South China University of Technology

 2004/8 – 2005/8: Visiting Scholar, Carnegie Mellon University, USA

 1990/7 – 1993/12: Lecturer, Shanxi University


 Course：

 Discrete Mathematics, Artificial Intelligence,Machine Learning


 Projects：


  1. Ministry of Education Industry-Academia Collaboration Education Program: "Construction and Practice of an Artificial Intelligence Course in the Context of Emerging Engineering Education," Dec 2019 - Dec 2020.

  2. Ministry of Education Industry-Academia Collaboration Education Program: "Practice-Based Course Development for 'Introduction to Artificial Intelligence'," Dec 2018 - Dec 2019.

  3. Guangdong Provincial Online Open Course Construction Project for Professional Disciplines: "Discrete Mathematics Course Development," Mar 2020 - Mar 2021.


 Publications：

 1. Academic Papers

  1. Qiong Chen, Sixun Feng, Tianlin Huang,Cyclical weighting: A new training strategy for long-tailed recognition,Engineering Applications of Artificial Intelligence,Volume 160, August,2025,111944,ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2025.111944.(JCR Q1)

  2. Xiaowei Wang, Qiong Chen, Yong Yang， Word Vector Embedding and Self-Supplementing Network for Generalized Few-Shot Semantic Segmentation, Neurocomputing, 2024,Oct（JCR Q2）Volume 613, 14 January 2025, 128737

  3. 陈琼，冯媛，李志群，杨咏，基于语义视觉一致性约束的零样本语义分割网络，华南理工大学学报(自然科学版），2024  Vol. 52, No.10 (EI)

  4. Qiong Chen*, Tianlin Huang, Qingfa Liu. SWRM: Similarity Window Reweighting and Margin for Long-Tailed Recognition. ACM Transactions on Multimedia Computing, Communications, and Applications, 2024.3.28, Vol. 20, No. 6,pages 1-18 (JCR Q1)

  5. Yong Yang, Qiong Chen, Yuan Feng, Tianlin Huang, MIANet:Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation，The IEEE / CVF Computer Vision and Pattern RecognitionConference 2023 (CVPR)

  6. Qiong Chen, Tianlin Huang, Geren Zhu, Enlu Lin,A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition,Neural Networks,Volume 168,2023,Pages 214-222（JCR Q1）

  7. Yong Yang, Qiong Chen, Qingfa Liu. A dual-channel network for cross-domain one-shot semantic segmentation via adversarial learning，Knowledge-Based Systems，Volume 275,2023（JCR Q1）

  8. 陈琼，谢家亮. 基于自适应采样的不平衡分类方法,  华南理工大学学报(自然科学版），2022  Vol. 50, No.4

  9. Li Zhiqun ,  Chen Qiong ,  Liu Qinfa . Augmented semantic feature based generative network for generalized zero-shot learning[J]. Neural Networks, 2021, 143:1-11 （JCR Q1）

  10. Chen Qiong ,  Liu Qinfa ,  Lin Enlu . A Knowledge-guide Hierarchical Learning Method for Long-tailed Image Classification[J]. Neurocomputing, 2021, 459(6) （JCR Q2）

  11. 陈琼,杨咏,黄天林,冯媛. 小样本图像语义分割综述[J]. 数据与计算发展前沿, 2021, 3(6): 17-34. 

  12.  Lin Enlu ,  Chen Q ,  Qi Xiaoming . Deep reinforcement learning for imbalanced classification[J]. Applied Intelligence, 2020(5). （JCR Q2）https://doi.org/10.1007/s10489-020-01637-z

  13.  陈琼*，徐洋洋，陈林清：不平衡数据的迁移学习分类算法，华南理工大学学报，2018, 46(1):  

  14. Qiong Chen*，Ting-Ting Wu, Ming Fang, Detecting local community structures in complex networks based on local degree central nodes, Physica A: Statistical Mechanics and its Applications, Volume 392, Issue 3, 1 February 2013, Pages 529–537

  15. Qiong Chen，An application of online exam in discrete mathematics course，TURC '18: Proceedings of ACM Turing Celebration Conference - China，May 2018，91-95 

  16. Qiong Chen*, Ming Fang, An Efficient Algorithm for Community Detection in Complex Networks, The 6th SNA-KDD Workshop‘12 (SNA-KDD’12), Beijing, 2012

  17. Qiong Chen*, Ming Fang, Community Detection Based on Local Central Vertices of Complex Networks, Proceeding of the Tenth Internal Conference on Machine Learning and Cybernetics Vol.1，Guilin, China, July，2011  

  18. Qiong Chen*, Ting-ting Wu，A method for local community detection by finding maximal-degree nodes， Proceeding of the Ninth Internal Conference on Machine Learning and Cybernetics Vol.1 8-13，Qingdao, China, July，2010  


 2. Textbooks

  1.  Chen Qiong，Ma Qianli, Zhou Yuren, Hu Jinsong, Luo Ronghua，Discrete Mathematics and It’s Application, Discrete Mathematics and It’s Application，China Machine Press.2014.9

  2.  Chen Qiong,Ma Qianli,Chen Weineng, Zhou Yuren, Wang Jiabing, Hu Jinsong, Huang Yan, Discrete Mathematics and It’s Application (2nd Ed.)，China Machine Press 2024.9


Awards：

  1.  In 2023, *Discrete Mathematics* was recognized as a national first-class undergraduate course (online-offline hybrid mode) in the second batch.

  2.   In 2021, she was selected into the "Excellent Teacher Award Program for Computer Majors in Institutions of Higher Education".  

  3.  In 2021, Discrete Mathematics course won the Excellent Case Award for MOOCs and Online-Offline Hybrid Teaching from the Joint Conference of University Online Open Course Alliances.  

  4.  In 2020, the MOOC of *Discrete Mathematics* was rated as an Excellent Online Open Course of Guangdong Province.