Qingqiang Sun

Biography

I received the BEng degree from Xiamen University, China, in 2017. I received the M.Eng degree under the supervision of Prof. Zhiqiang Ge from the Department of Control Science and Engineering, Zhejiang University, China, in 2020. I received the PhD degree under the joint supervision of Prof. Xuemin Lin (Member of Academia Europaea/IEEE Fellow/UNSW Scientia Professor) and Prof. Wenjie Zhang (ARC Future Fellow) in the Data and Knowledge Research Group (DKR), School of Computer Science and Engineering, University of New South Wales, Australia, in 2024.

I am currently an assistant professor in the School of Engineering, Great Bay University, Dongguan, China. My research interest lies at Graph Representation Learning, Industrial Artificial Intelligence, and Data-driven Modeling. I have sufficient funding for research assistant and postdoc recruitments, please feel free to contact me with your cv. Email address: qqsun@gbu.edu.cn.

Selected Publications

The symbol ^* denotes corresponding authors. Full publications are available in Google Scholar.

1. Qingqiang Sun, Kai wang, Wenjie Zhang, Peng Cheng, and Xuemin Lin^*. Interdependence-Adaptive Mutual Information Maximization for Graph Contrastive Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.

2. Qingqiang Sun, Wenjie Zhang, Xuemin Lin^*. Progressive Hard Negative Masking: From Global Uniformity to Local Tolerance. IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI: 10.1109/TKDE.2023.3269795, 2023.

3. Qingqiang Sun, Xuemin Lin^*, Ying Zhang, Wenjie Zhang^*, Chaoqi Chen. Towards Higher-order Topological Consistency for Unsupervised Network Alignment. IEEE International Conference on Data Engineering (ICDE), 2023.

4. Qingqiang Sun, Zhiqiang Ge^*. Gated Stacked Target-Related Autoencoder: A Novel Deep Feature Extraction and Layerwise Ensemble Method for Industrial Soft Sensor Application. IEEE Transactions on Cybernetics (TCyb), 52(5), 3457-3468, 2022. [ESI Highly Cited Papers]

5. Qingqiang Sun, Zhiqiang Ge^*. A Survey on Deep Learning for Data-driven Soft Sensors. IEEE Transactions on Industrial Informatics (TII), 17(9), 5853-5866, 2021. [ESI Hot Papers]

6. Qingqiang Sun, Zhiqiang Ge^*. Deep Learning for Industrial KPI Prediction: When Ensemble Learning Meets Semi-Supervised Data. IEEE Transactions on Industrial Informatics (TII), 17(1), 260-269, 2021. [ESI Highly Cited Papers]

7. Qingqiang Sun, Zhiqiang Ge^*. Probabilistic Sequential Network for Deep Learning of Complex Process Data and Soft Sensor Application. IEEE Transactions on Industrial Informatics (TII), 15(5), 2700-2709, 2019.

8. Kai Wang, Daojie He, Qingqiang Sun^*, Lizhi Yi, Xiaofeng Yuan, Yalin Wang. Towards Global Information Extraction and Multi-Scale Feature Fusion for Remote Sensing Based Landslide Segmentation. APPLIED SOFT COMPUTING (ASC), 2024.

9. Kai Wang, Zihui Cao, Danrong Wang, Qingqiang Sun^*, Xiaofeng Yuan, Yalin Wang, and Chenliang Liu^*. Manifoldconstrained Trace Ratio Optimization for Nonstationary Process Performance Monitoring. Journal of Process Control (JPC), 2023.

10. Junhua Zheng, Chao Wu, Qingqiang Sun, Zhihuan Song, and Le Zhou^*. Deep learning of complex process data for fault classification based on sparse probabilistic dynamic network. Journal of the Taiwan Institute of Chemical Engineers, 138, 104498, 2022.

Selected Scholarships, Honors, and Awards

• Scholarships:
  • Chinese National Scholarship for Graduates granted by Ministry of Education, PRC, 2019
  • Chinese National Scholarship for Undergraduates granted by Ministry of Education, PRC, 2016
• Honors:
  • Outstanding Master Dissertation Award granted by Chinese Association of Automation (CAA), 2022
  • Outstanding Master Dissertation Award granted by Chinese Institute of Electronics (CIE), 2021
  • Outstanding Graduate Award for Masters granted by Zhejiang University, 2020
  • Outstanding Graduate Award for Bachelors granted by Xiamen University, 2017
• Awards:
  • The First Award of the 7th National Undergraduate Machinery Innovation Competition, 2016
  • The Meritorious Winner (the First Award) of American Undergraduate Mathematical Contest in Modeling, 2016
  • The Third Award of the 9th National Undergraduate Electrician Mathematical Contest in Modeling in Chinese Society for Electrical Engineering Cup, 2016

Academic Activities

• Invited Jounal Reviewer
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE/CAA Journal of Automatica Sinica
  • Knowledge-Based Systems
  • ISA Transactions
• Invited Conference Reviewer
  • ICLR 2025
  • NeurIPS 2024
• Organizer
  • Proceedings Chair：The 3rd International Workshop on Large Scale Graph Data Analytics (LSGDA) in conjunction with VLDB2024