Changkun Ou

Introduction

Changkun Ou is a research assistant at the University of Munich. His research topics are interdisciplinary in computational geometry, imitation learning, and human-computer interaction. In particular, he would like to leverage three-dimensional polygonal mesh representation learning and visual preference elicitation to understand user behavior in 3D modeling and develop efficient algorithms or industrial tools for 3D rendering.

Mr. Ou is also pationate about open source and emerging web technologies, thus you also can find him at: Homepage | GitHub

Theses

Open

Publications

2019
Download	Changkun Ou, Yifei Zhan, Yaxi Chen Identifying Malicious Players in GWAP-based Disaster Monitoring Crowdsourcing System In IEEE ICAIBD' 19: Proceedings of the 2nd International Conference on Artificial Intelligence and Big Data. Chengdu, Sichuan, China, May 25-28, 2019. (bib)
Download	Jingyi Li, Changkun Ou, Yong Ma Cultivation and Incentivization of HCI Research and Community in China: Taxonomy and Social Endorsements In CHI'19 Workshop on "HCI in China: Research Agenda, Education Curriculum, Industry Partnership, and Communities Building", May 2019, Glasgow, UK, 2019.
2018
	Changkun Ou Go Under The Hood: A Source Code Study of Go Open Source, GitHub, September 2018.
	Changkun Ou C++11/14/17/20 On the Fly: The Fastest Guide Towards Modern C++ Open Source, GitHub, May 2018.
Download	Changkun Ou Understanding Generalization in Deep Learning Advanced Seminar Deep Learning, Winter Term 2017/18, February 2018.
2017
Download	Matthias Geiger, Changkun Ou, Cedric Quintes WatchOut: A Road Safety Extension for Pedestrians on a Public Windshield Display ArXiv preprint arXiv:1905.05390, November 2017.

Teaching

WS 2019/20: Lecture Online Multimedia (Assistant)

WS 2019/20: Seminar Advances in Computer Graphics (Advisor)

SS 2019: Seminar Advanced Media Informatics (Advisor)

WS 2018/19: Lecture Deep Learning and Artificial Intelligence (Tutor), Notes

SS 2018: Lecture Machine Learning (Tutor), Notes