I’m Haonan Qiu(邱浩楠), a PhD student at NTU SCSE department, supervised by Prof. Ziwei Liu. I received my bachelor degree from The Chinese University of Hong Kong, Shenzhen, majoring in computer science at School of Science and Engineering. My research interests mainly focus on Deep Generative Models, Adversarial Machine Learning, and Forgery Detection.
I used to thoroughly explore many aspects of Adversarial Machine Learning, supervised by Prof. Bo Li in UIUC remotely. I also work closely with Dr. Chaowei Xiao. We have done a lot of exciting research on Adversarial Machine Learning.
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. [Paper] [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]
Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings?
Mingjie Sun*, Zichao Li*, Chaowei Xiao*, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li
International Conference on Computer Vision (ICCV), 2021. [Paper]
Research Consultant, at SenseTime, Nov 2020 - July 2021
Research Intern, Remotely Corporate With Prof. Bo Li at UIUC, May 2019 - Nov 2020
Research Intern, 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