I’m Haonan Qiu(邱浩楠), an undergraduate majoring in computer science at School of Science and Engineering at The Chinese University of Hong Kong, Shenzhen. My research interests mainly focus on Adversarial Machine Learning, Deep Learning, and Computer Vision (particularly deep generative models).
In the past two years, I have thoroughly explored many aspects of Adversarial Machine Learning, supervised by Prof. Bo Li in UIUC remotely. I also work closely with Chaowei Xiao. We have done a lot of exciting research on Adversarial Machine Learning.
I will be a PhD student at NTU soon. If you are interested in my research, communications and cooperations are both welcomed. Feel free to drop me an email.
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu*, Chaowei Xiao*, Lei Yang*, Xinchen Yan, Honglak Lee, Bo Li
European Conference on Computer Vision (ECCV), 2020. [Arxiv] [Project Page] [News] [Slides] [Code]
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han
Computer Graphics Forum (CGF), 2019. [Paper] [Arxiv] [Dataset]
Research Intern, Remotely Corporate With Prof. Bo Li at UIUC, May 2019 - Present
Research Intern in Super-Resolution Group at SenseTime, Sep 2018 - May 2019
Research Assistant in Shenzhen Research Institute of Big Data at CUHK(SZ), Jan 2018 - Sep 2018
- Dean’s List 2016, 2017, 2018
- Undergraduate Research Award 2016, 2017, 2018
- Undergraduate Student Teaching Fellow 2017, 2018
- Academic Performance Scholarship 2018
- Tencent WeChat Campus Card “Digital Star” 2017