职称：讲师
电子邮箱：sentaochen@stu.edu.cn
办公地址：工科楼工南208
英文主页：https://sentaochen.github.io/
个人简介
陈森涛，2020年6月毕业于华南理工大学软件学院，获工学博士学位。2020年11月起在云顶yd2223线路检测计算机系任科研教学型讲师，入选云顶yd2223线路检测卓越人才计划：优秀人才。
研究兴趣为迁移学习（Transfer Learning），包括领域自适应（Domain Adaptation）,领域泛化（Domain Generalization）等子问题的算法设计，以及算法在计算机视觉、自然语言处理、生物医学等领域上的应用。
研究成果发表在Pattern Recognition, Neural Networks, IEEE Transactions on Neural Networks and Learning Systems,IEEE Transactions on Image Processing, Knowledge-Based Systems等机器学习国际主流学术期刊。
研究成果的主要学术贡献：提出联合分布对齐的重要思想，并且通过直接联合分布对齐，联合-积分布对齐等具体方式，来实现这个思想，从而在理论上、算法上，较好地解决迁移学习中联合分布不匹配的本质性问题。
科研项目
（1）国家自然科学基金青年基金项目，领域自适应的联合分布适配算法研究，2022.01-2024.12。
（2）广东省自然科学基金面上基金项目，领域泛化的领域对齐算法研究，2023.01-2025.12。
科研论文
（1）Sentao Chen*, Multi-Source Domain Adaptation with Mixture of Joint Distributions,Pattern Recognition, 2024. (SCI一区；IF: 8.0；CCF B)
（2）Sentao Chen*, Decomposed Adversarial Domain Generalization, Knowledge-Based Systems, 2023. (SCI一区；IF: 8.13；CCF C)
（3）Lisheng Wen,Sentao Chen*, Mengying Xie, Cheng Liu, and Lin Zheng, Training Multi-Source Domain Adaptation Network by Mutual Information Estimation and Minimization, Neural Networks, 2023. (SCI二区；IF: 7.8；CCF B)
（4）Sentao Chen*, Lin Zheng, and Hanrui Wu, Riemannian Representation Learning for Multi-Source Domain Adaptation, Pattern Recognition, 2023.(SCI一区；IF: 8.51；CCF B)
（5）Sentao Chen*and Zijie Hong, Domain Generalization by Distribution Estimation, International Journal of Machine Learning and Cybernetics，2023. (SCI二区；IF: 4.37；CCF C)
（6）Sentao Chen*and Liang Chen, Joint-Product Representation Learning for Domain Generalization in Classification and Regression, Neural Computing and Applications, 2023. (SCI二区；IF:5.10；CCF C)
（7）Sentao Chen*, Lei Wang, Zijie Hong, and Xiaowei Yang, Domain Generalization by Joint-Product Distribution Alignment, Pattern Recognition, 2022.(SCI一区；IF: 8.51；CCF B)
（8）Sentao Chen*, Zijie Hong, Mehrtash Harandi, and Xiaowei Yang, Domain Neural Adaptation, IEEE Transactions on Neural Networks and Learning Systems, 2022. (SCI一区；IF: 14.25；CCF B)
（9）Sentao Chen*, Hanrui Wu, and Cheng Liu, Domain Invariant and Agnostic Adaptation, Knowledge-Based Systems, 2021. (SCI一区；IF: 5.92；CCF C)
（10）Sentao Chen*, Mehrtash Harandi, Xiaona Jin, and Xiaowei Yang*, Domain Adaptation by Joint Distribution Invariant Projections, IEEE Transactions on Image Processing, 2020. (SCI一区；IF: 9.34；CCF A)
（11）Sentao Chen*, Mehrtash Harandi, Xiaona Jin, and Xiaowei Yang*, Semi-supervised Domain Adaptation via Asymmetric Joint Distribution Matching, IEEE Transactions on Neural Networks and Learning Systems, 2020. (SCI一区；IF: 8.79；CCF B)
（12）Sentao Chen*, Le Han, Xiaolan Liu, Zongyao He, and Xiaowei Yang*, Subspace Distribution Adaptation Frameworks for Domain Adaptation, IEEE Transactions on Neural Networks and Learning Systems, 2020. (SCI一区；IF: 8.79；CCF B)
（13）Xiaona Jin, Xiaowei Yang, Bo Fu, andSentao Chen*, Joint Distribution Matching Embedding for Unsupervised Domain Adaptation, Neurocomputing, 2020. (SCI二区；IF:4.43；CCF C)
（14）Sentao Chen* and Xiaowei Yang, Tailoring Density Ratio Weight for Covariate Shift Adaptation, Neurocomputing, 2019. (SCI二区；IF:4.43；CCF C)
主讲课程
《统计学习方法》、《研究方法与创新》
