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首页 /首页 /师资力量 /教师名录 /计算机技术与科学 /正文

陈森涛

4401

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月起在汕头大学工学院计算机系任讲师,入选汕头大学卓越人才计划: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)

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