Sentao Chen
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Researcher, Lecturer |
About Me
I am a researcher and lecturer in the Department of Computer Science, Shantou University. I received my PhD degree in Software Engineering from South China University of Technology in 2020, advised by Professor Xiaowei Yang.
I am interested in statistical machine learning and probabilistic modeling. My research philosophy is simple and straightforward: problem --> assumption --> hypothesis space --> loss function --> optimization --> inference. Currently, my research involves designing statistical learning algorithms to solve the problems of domain adaptation and domain generalization.
Selected Publications (For the full list see Google Scholar)
Joint Weight Optimization for Partial Domain Adaptation via Kernel Statistical Distance Estimation
Sentao Chen
Neural Networks, 2024
[Project]Multi-Source Domain Adaptation with Mixture of Joint Distributions
Sentao Chen
Pattern Recognition (PR), 2024
[Project]Decomposed Adversarial Domain Generalization
Sentao Chen
Knowledge-Based Systems (KBS), 2023
[Project]Joint-Product Representation Learning for Domain Generalization in Classification and Regression
Sentao Chen and Liang Chen
Neural Computing and Applications (NCAA), 2023
[Paper]Riemannian Representation Learning for Multi-Source Domain Adaptation
Sentao Chen, Lin Zheng, and Hanrui Wu
Pattern Recognition (PR), 2023
[Project]Domain Generalization by Joint-Product Distribution Alignment
Sentao Chen, Lei Wang, Zijie Hong, and Xiaowei Yang
Pattern Recognition (PR), 2022
[Project]Domain Neural Adaptation
Sentao Chen, Zijie Hong, Mehrtash Harandi, and Xiaowei Yang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
[Project]Domain Adaptation by Joint Distribution Invariant Projections
Sentao Chen, Mehrtash Harandi, Xiaona Jin, and Xiaowei Yang
IEEE Transactions on Image Processing (TIP), 2020
[Project]Subspace Distribution Adaptation Frameworks for Domain Adaptation
Sentao Chen, Le Han, Xiaolan Liu, Zongyao He, and Xiaowei Yang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020
[Project]
Academic Services
Reviewer of the following journals and conferences:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Geoscience and Remote Sensing
Pattern Recognition
Neural Networks
Knowledge-Based Systems
International Journal of Machine Learning and Cybernetics
Knowledge and Information Systems
Neural Information Processing Systems
IEEE Conference on Computer Vision and Pattern Recognition
European Conference on Computer Vision
Teaching
Bachelor courses at Shantou University:
Statistical Learning Methods
Research Methodology and Innovation