Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
CST207 Design and Analysis of Algorithms
Undergraduate course of computer science and technology, Xiamen University Malaysia, 2020-04
This course covers introduction to algorithms, asymptotic analysis, analyzing algorithms, probabilistic analysis, recursive algorithm, divide-and-conquer algorithms, dynamic programming, greedy algorithms, NP-complete theory, backtracking, branch-and-bound, searching problems and approximation algorithms.
SWE404 Big Data Analytics
Undergraduate course of software engineering, Xiamen University Malaysia, 2020-04
We look at the details of the big data tools Hadoop, Spark and related tools that provide SQL-like access to unstructured data. Some more advanced techniques such as Spark Streaming and MLlib will also be introduced. Based on Python, we use PySpark as the main programming tool to implement big data applications. We also introduce some machine learning techniques such as classification, regresion, clustering and collaborative filtering and how to implement them to real applications using PySpark and MLlib API.
算法设计与分析
计算机科学系本科生必修课, 厦门大学, 2021-03
该课程为厦门大学计算机科学与技术系大二下学期必修课，是理论性与实践性都很强的学科，是计算机学科的重要专业课之一。本课程主要介绍算法的基础知识，包括抽象计算模型、算法基本概念、算法复杂性分析基础、算法设计的基本方法、以及算法复杂性理论基础。课程教学的基本要求是通过教学活动，使每一个学生较好地掌握课程的主要内容，同时具备对实际问题应用所学知识设计出有效算法并编程实现这些算法的能力。此外，配合实验课程的教学，学生应理论联系实际，理论指导实践，通过实验工作，借助程序设计语言，掌握运用数据结构、算法和程序解决一些实际问题的方法。
深度学习
计算机科学与技术系研究生选修课, 厦门大学, 2023-09
该课程为厦门大学信息学院/人工智能研究院研究生选修课，以基于深度学习平台TensorFlow和PyTorch的编程实践为主，算法理论为辅，使学生能够领悟深度学习的基本原理以及适用场景，并且对使用深度学习方法来解决问题具有一定的动手能力，为学生今后开展科研工作和业界求职打下基础。
离散数学
计算机科学系本科生必修课, 厦门大学, 2023-09
该课程为厦门大学信息学院计算机科学与技术专业大二上学期必修课，是计算机和相关专业的专业基础课，为数据结构、算法设计与分析、操作系统、编译原理等后续课程的先修课。主要讲授数理逻辑、集合论、代数结构和图论的基本理论和方法，注重常用离散结构背景、算法和应用的讲述，引导学生应用离散数学的理论和方法解决实际问题。