职称：讲师
邮箱：sentaochen@stu.edu.cn
办公地址：工科楼工南208
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月起在买球最好的网站(中国)有限公司计算机系任讲师，入选买球最好的网站卓越人才计划：优秀人才。
研究兴趣为统计机器学习，包括领域自适应(Domain Adaptation),领域泛化(Domain Generalization),降维（Dimensionality Reduction）等机器学习问题的算法设计（假设、建模、求解、推断），以及算法在图像和文本等数据上的应用。研究成果发表在IEEE Transactions on Neural Networks and Learning Systems,IEEE Transactions on Image Processing, Knowledge-Based Systems, Neurocomputing等机器学习或图像处理的国际主流学术期刊。
科研项目
（1）国家自然科学基金青年科学基金项目，62106137，领域自适应的联合分布适配算法研究，2022.01-2024.12。
科研论文
（1）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: 10.45；CCF B)
（2）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)
（3）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)
（4）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)
（5）Sentao Chen*, Hanrui Wu, and Cheng Liu,“Domain Invariant and Agnostic Adaptation”, Knowledge-Based Systems, 2021. (SCI一区；IF: 5.92；CCF C)
（6）Sentao Chen*and Xiaowei Yang,“Tailoring Density Ratio Weight for Covariate Shift Adaptation”, Neurocomputing, 2019. (SCI二区；IF:4.43；CCF C)
（7）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)
